| 1. |
- Aristote, Nkongolo Tshamala, et al.
(författare)
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Methods of improving the initial Coulombic efficiency and rate performance of both anode and cathode materials for sodium-ion batteries
- 2022
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Ingår i: Chinese Chemical Letters. - : Elsevier BV. - 1001-8417 .- 1878-5964. ; 33:2, s. 730-742
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Tidskriftsartikel (refereegranskat)abstract
- Sodium-ion batteries (SIBs) have gained more scientists’ interest, owing to some facts such as the natural abundance of Na, the similarities of physicochemical characteristics between Li and Na. The irreversible Na+ ions consumption during the first cycle of charge/discharge process (due to the formation of the solid electrolyte interface (SEI) on the electrode surface and other irreversible reactions) is the factor that determines high performance SIBs and largely reduces the capacity of the full cell SIBs. Thus, the initial coulombic efficiency (ICE) of SIBs for both anode and cathode materials, is a key parameter for high performance SIBs, and the point is to increase the transport rate of the Na+ ions. Therefore, developing SIBs with high ICE and rate performance becomes vital to boost the commercialization of SIBs. Here we provide a review on the methods to improve the ICE and the rate performance, by summarizing some methods of improving the ICE and rate performance of the anode and cathode materials for SIBs, and end by a conclusion with some perspectives and recommendations.
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| 2. |
- Guo, Zhiming, et al.
(författare)
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Comparative study of Vis/NIR reflectance and transmittance method for on-line detection of strawberry SSC
- 2024
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Ingår i: Computers and Electronics in Agriculture. - : Elsevier. - 0168-1699 .- 1872-7107. ; 218
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Tidskriftsartikel (refereegranskat)abstract
- Strawberry, as a fragile and vulnerable fruit, the realization of automatic sorting is conducive to improve the intelligent level of strawberry industry and improve the ability of product quality management. An on-line soluble solids content (SSC) detection prototype which can protect the strawberry from mechanical damage was researched and developed. The reflectance and transmittance of visible and near infrared (Vis/NIR) spectra were acquired by the prototype respectively, and the performances of the two spectra on the SSC detection performance of strawberry were compared. Four feature selection algorithms like competitive adaptive reweighted sampling (CARS) ware used for reflectance and transmittance spectra to reduce the spectra complexity, improve the strawberry SSC detection accuracy and optimize the running time of the prototype. The comparison showed that the transmittance spectra can reflect the internal SSC information of strawberry better. Then the results of feature variable selection showed that strawberry transmittance spectra combined with CARS algorithm achieved the best result of SSC prediction, and the prediction correlation coefficient (Rp) was 0.928, the root mean square error of prediction (RMSEP) was 0.412 Brix, and the residual predictive deviation (RPD) value was 2.670. The CARS-PLS model for reflectance spectra also obtained the optimization result in the reflectance group, but its Rp, RMSEP and RPD value was 0.812, 0.587 Brix and 1.670 respectively, which still did not meet the reliability of application. The results demonstrated that the Vis/NIR transmittance spectra have great application potential in strawberry on-line internal quality detection.
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| 3. |
- Li, Jiayang, et al.
(författare)
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Electrochemical Zintl Cluster Bi22− induced chemically bonded bismuth / graphene oxide composite for sodium-ion batteries
- 2022
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Ingår i: Electrochimica Acta. - : Elsevier BV. - 0013-4686 .- 1873-3859. ; 413
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Tidskriftsartikel (refereegranskat)abstract
- Bismuth, a promising attribute for sodium-ion batteries, which have been attracting significant attention owing to their advantages of high volumetric capacity and suitable operating potential. However, most traditional Bi-based materials are suffered from pulverization and fracture of the electrodes caused by dramatic volume variation, consequently diminishing the cycle stability. Herein, in this work, bismuth embedded within graphene oxide matrices have been obtained by utilizing a novel and efficient electrochemical method. Through the strong reducing properties of Zintl clusters Bi22−, GO is partially reduced to generate reduced graphene oxide with better electrical conductivity. Simultaneously, Bi is strongly loaded on the GO through Bi-O-C bonding, which can form Bi2O22+ with excellent ionic conductivity. Moreover, the volume expansion of Bi during sodiation can be effectively buffered in the GO matrices. As a result, this Bi/GO composite exhibits excellent electrochemical performances in sodium-ion batteries (SIBs), including a high specific capacity of 258 mAh g−1 at 10 A g−1 and an excellent cycle stability with high retained capacity of 315 mAh g−1 after 500 cycles at 2 A g−1. This work paves the way to prepare designated promising electrode materials for high-performance SIBs, and thoroughly understands mechanism of electrochemical methods for preparing materials.
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| 4. |
- Wang, Junyi, et al.
(författare)
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General model of multi-quality detection for apple from different origins by Vis/NIR transmittance spectroscopy
- 2022
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Ingår i: JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION. - : Springer Nature. - 2193-4126 .- 2193-4134. ; 16:4, s. 2582-2595
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Tidskriftsartikel (refereegranskat)abstract
- Visible Near-infrared (Vis/NIR) spectroscopy is widely used to evaluate fruit quality due to its fast and non-destructive advantage, but the diffuse reflectance mode only obtains information of the surface, and the traditional model is difficult to meet multi-origin detection in practical applications. A portable Vis/NIR transmittance prototype was designed and developed to acquire Vis/NIR spectra of apple samples from different origins. Soluble solids content (SSC), firmness, pH and vitamin C (VC) content were determined as the internal quality parameter. The partial least square (PLS) model was established by optimizing the best from different spectral preprocessing and feature selection algorithms. The results showed that the competitive adaptive weighted PLS (CARS-PLS) achieved the best prediction performance, with correlation coefficient of prediction (R-p), and root mean square error of prediction (RMSEP) values of 0.940, 0.542 degrees Brix for SSC, 0.789, 7.018 N for firmness, 0.698, 0.119 for pH, and 0.804, 10.363 mg kg(-1) for VC content, respectively. The general model of CARS-PLS was verified by the independent prediction sets from 7 origins. The establishment of general models expanded the prediction range, improved the prediction stability of models between different cultivars, and reduced the complexity of the models through appropriate preprocessing and feature variable selection methods. The development of the general model of different origins and cultivars for predicting the internal quality of apple has a great potential application using Vis/NIR transmittance spectroscopy.
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| 5. |
- Abd El-Wahed, Aida A., et al.
(författare)
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Cosmetic Applications of Bee Venom
- 2021
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Ingår i: Toxins. - : MDPI AG. - 2072-6651. ; 13:11
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Forskningsöversikt (refereegranskat)abstract
- Bee venom (BV) is a typical toxin secreted by stingers of honeybee workers. BV and BV therapy have long been attractive to different cultures, with extensive studies during recent decades. Nowadays, BV is applied to combat several skin diseases, such as atopic dermatitis, acne vulgaris, alopecia, vitiligo, and psoriasis. BV is used extensively in topical preparations as cosmetics and used as dressing for wound healing, as well as in facemasks. Nevertheless, the safety of BV as a therapeutic choice has always been a concern due to the immune system reaction in some people due to BV use. The documented unfavorable impact is explained by the fact that the skin reactions to BV might expand to excessive immunological responses, including anaphylaxis, that typically resolve over numerous days. This review aims to address bee venom therapeutic uses in skin cosmetics.
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| 6. |
- Barimah, Alberta Osei, et al.
(författare)
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Sensitive label-free Cu2O/Ag fused chemometrics SERS sensor for rapid detection of total arsenic in tea
- 2021
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Ingår i: Food Control. - : Elsevier. - 0956-7135 .- 1873-7129. ; 130
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Tidskriftsartikel (refereegranskat)abstract
- Arsenic (As) is one of the toxic, persistent, and lethal heavy metalloids and requires rapid, less costly, and sensitive detection methods. This study proposed a label-free cuprous oxide/silver (Cu2O/Ag) surface-enhanced Raman scattering (SERS) nanoprobe to detect total As in tea. Different total As spiked tea concentrations were mixed with the Cu2O/Ag SERS nanoprobe for the SERS detection. Quantitative models were established for predicting the total As in tea by comparatively applying chemometric algorithms. Amongst the algorithms, competitive adaptive reweighted sampling partial least squares (CARS-PLS) optimized the most effective spectral variables to predict the total As in tea efficiently. The CARS-PLS gave the highest correlation coefficient value (R-p = 0.9935), very low root means square error (RMSEP = 0.0496 mu g g(-1)) in the prediction set and recorded the highest RPD value of 8.819. The proposed nanoprobe achieved a lower detection limit (0.00561 mu g g(-1)), excellent selectivity, satisfactory reproducibility, and stability. No significant difference was recorded when the performance of the Cu2O/Ag total As SERS sensor was compared with the inductively coupled plasma mass spectrometry (ICP-MS) method. Therefore, this developed Cu2O/Ag coupled chemometrics SERS sensing method could be used to efficiently determine, quantify, and predict total As in tea to promote monitoring of heavy metal contaminants.
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| 7. |
- Barimah, Alberta Osei, et al.
(författare)
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SERS nanosensor of 3-aminobenzeneboronic acid labeled Ag for detecting total arsenic in black tea combined with chemometric algorithms
- 2022
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Ingår i: Journal of Food Composition and Analysis. - : Elsevier. - 0889-1575 .- 1096-0481. ; 110
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Tidskriftsartikel (refereegranskat)abstract
- Detrimental health effects caused by the intake of food contaminated with heavy metals have drawn concerns on effective monitoring using rapid and benign methods. This work presented a novel surface-enhanced Raman scattering (SERS)-based 3-Aminobenzeneboronic acid (ABBA) labeled silver (Ag) nanosensor combined with chemometric algorithms to detect and predict total arsenic (TAs) in acid digested spiked black tea leaves. The sensor recognizes TAs through the partial detachment of ABBA and the chemical formation of As-O-Ag linkage between the TAs and the Ag nanoparticles, which caused a SERS-on signal enhancement effect. SERS combined with competitive adaptive reweighted sampling partial least squares algorithm predicted the TAs with higher correlation coefficient (R-p) results (R-p = 0.9750) and a detection limit of 0.0273 mu g/g. Good recoveries of 83.84-109.53% and the excellent agreement with the inductively coupled plasma-mass spectrometry method (R-2 = 0.999) revealed this developed rapid method could be deployed for fast-tracking of As in food samples.
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| 8. |
- Chen, Ping, et al.
(författare)
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Green reduction of silver nanoparticles for cadmium detection in food using surface-enhanced Raman spectroscopy coupled multivariate calibration
- 2022
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Ingår i: Food Chemistry. - : Elsevier. - 0308-8146 .- 1873-7072. ; 394
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Tidskriftsartikel (refereegranskat)abstract
- Cadmium (Cd) causes pervasive harm on human health as a poisonous heavy metal. This study proposed a surface-enhanced Raman spectroscopy (SERS) approach using sodium alginate (SA) as green reductant in combination with edge enrichment and chemometrics to build label-free Cd quantitative models. The silver nanoparticles synthesized by SA had good dispersion and enhancement factor (3.48 x 105). The optimal detection system was established by optimizing the concentration of specific molecules (trimercaptotriazine) and the droplet volume of measured liquid. Partial least squares models based on preprocessing methods and selection algorithms were compared. The results indicated that the model combined with first-order derivative preprocessing and competitive adaptive reweighted sampling algorithms achieved the best performance (R-p = 0.9989, RMSEP =1.6225) with the limit of detection of 2.36 x 10(-5) mu g L-1 in food. The SERS approach combined with edge enrichment and chemometrics holds promise for rapid and label-free determination of Cd in food.
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| 9. |
- El-Seedi, Hesham, et al.
(författare)
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A Spotlight on the Egyptian Honeybee (Apis mellifera lamarckii)
- 2022
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Ingår i: Animals. - : MDPI AG. - 2076-2615. ; 12:20
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Forskningsöversikt (refereegranskat)abstract
- Egypt has an ongoing long history with beekeeping, which started with the ancient Egyptians making various reliefs and inscriptions of beekeeping on their tombs and temples. The Egyptian honeybee (Apis mellifera lamarckii) is an authentic Egyptian honeybee subspecies utilized in apiculture. A. m. lamarckii is a distinct honeybee subspecies that has a particular body color, size, and high levels of hygienic behavior. Additionally, it has distinctive characteristics; including the presence of the half-queens, an excessive number of swarm cells, high adaptability to climatic conditions, good resistance to specific bee diseases, including the Varro disorder, and continuous breeding during the whole year despite low productivity, using very little propolis, and tending to abscond readily. This review discusses the history of beekeeping in Egypt and its current situation in addition to its morphology, genetic analysis, and distinctive characters, and the defensive behaviors of native A. m. lamarckii subspecies.
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| 10. |
- El-Seedi, Hesham, et al.
(författare)
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Antimicrobial Properties of Apis mellifera's Bee Venom
- 2020
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Ingår i: Toxins. - : MDPI AG. - 2072-6651. ; 12:7
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Forskningsöversikt (refereegranskat)abstract
- Bee venom (BV) is a rich source of secondary metabolites from honeybees (Apis melliferaL.). It contains a variety of bioactive ingredients including peptides, proteins, enzymes, and volatile metabolites. The compounds contribute to the venom's observed biological functions as per its anti-inflammatory and anticancer effects. The antimicrobial action of BV has been shown in vitro and in vivo experiments against bacteria, viruses, and fungi. The synergistic therapeutic interactions of BV with antibiotics has been reported. The synergistic effect contributes to a decrease in the loading and maintenance dosage, a decrease in the side effects of chemotherapy, and a decrease in drug resistance. To our knowledge, there have been no reviews on the impact of BV and its antimicrobial constituents thus far. The purpose of this review is to address the antimicrobial properties of BV and its compounds.
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| 11. |
- El-Seedi, Hesham, et al.
(författare)
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Chemistry and the Potential Antiviral, Anticancer, and Anti-Inflammatory Activities of Cardiotonic Steroids Derived from Toads
- 2022
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Ingår i: Molecules. - : MDPI AG. - 1431-5157 .- 1420-3049. ; 27:19
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Forskningsöversikt (refereegranskat)abstract
- Cardiotonic steroids (CTS) were first documented by ancient Egyptians more than 3000 years ago. Cardiotonic steroids are a group of steroid hormones that circulate in the blood of amphibians and toads and can also be extracted from natural products such as plants, herbs, and marines. It is well known that cardiotonic steroids reveal effects against congestive heart failure and atrial fibrillation; therefore, the term cardiotonic has been coined. Cardiotonic steroids are divided into two distinct groups: cardenolides (plant-derived) and bufadienolides (mainly of animal origin). Cardenolides have an unsaturated five-membered lactone ring attached to the steroid nucleus at position 17; bufadienolides have a doubly unsaturated six-membered lactone ring. Cancer is a leading cause of mortality in humans all over the world. In 2040, the global cancer load is expected to be 28.4 million cases, which would be a 47% increase from 2020. Moreover, viruses and inflammations also have a very nebative impact on human health and lead to mortality. In the current review, we focus on the chemistry, antiviral and anti-cancer activities of cardiotonic steroids from the naturally derived (toads) venom to combat these chronic devastating health problems. The databases of different research engines (Google Scholar, PubMed, Science Direct, and Sci-Finder) were screened using different combinations of the following terms: cardiotonic steroids, anti-inflammatory, antiviral, anticancer, toad venom, bufadienolides, and poison chemical composition. Various cardiotonic steroids were isolated from diverse toad species and exhibited superior anti-inflammatory, anticancer, and antiviral activities in in vivo and in vitro models such as marinobufagenin, gammabufotalin, resibufogenin, and bufalin. These steroids are especially difficult to identify. However, several compounds and their bioactivities were identified by using different molecular and biotechnological techniques. Biotechnology is a new tool to fully or partially generate upscaled quantities of natural products, which are otherwise only available at trace amounts in organisms.
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| 12. |
- El-Seedi, Hesham, et al.
(författare)
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Gelatin nanofibers : Recent insights in synthesis, bio-medical applications and limitations
- 2023
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Ingår i: Heliyon. - : Elsevier. - 2405-8440. ; 9:5
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Forskningsöversikt (refereegranskat)abstract
- The use of gelatin and gelatin-blend polymers as environmentally safe polymers to synthesis electrospun nanofibers, has caused a revolution in the biomedical field. The development of efficient nanofibers has played a significant role in drug delivery, and for use in advanced scaffolds in regenerative medicine. Gelatin is an exceptional biopolymer, which is highly versatile, despite variations in the processing technology. The electrospinning process is an efficient technique for the manufacture of gelatin electrospun nanofibers (GNFs), as it is simple, efficient, and cost-effective. GNFs have higher porosity with large surface area and biocompatibility, despite that there are some drawbacks. These drawbacks include rapid degradation, poor mechanical strength, and complete dissolution, which limits the use of gelatin electrospun nanofibers in this form for biomedicine. Thus, these fibers need to be cross-linked, in order to control its solubility. This modification caused an improvement in the biological properties of GNFs, which made them suitable candidates for various biomedical applications, such as wound healing, drug delivery, bone regeneration, tubular scaffolding, skin, nerve, kidney, and cardiac tissue engineering. In this review an outline of electrospinning is shown with critical summary of literature evaluated with respect to the various applications of nanofibers-derived gelatin.
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| 13. |
- El-Seedi, Hesham, et al.
(författare)
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Metal nanoparticles fabricated by green chemistry using natural extracts : biosynthesis, mechanisms, and applications
- 2019
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Ingår i: RSC Advances. - : Royal Society of Chemistry. - 2046-2069. ; 9:42, s. 24539-24559
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Forskningsöversikt (refereegranskat)abstract
- Nanoparticles (NPs) are new inspiring clinical targets that have emerged from persistent efforts with unique properties and diverse applications. However, the main methods currently utilized in their production are not environmentally friendly. With the aim of promoting a green approach for the synthesis of NPs, this review describes eco-friendly methods for the preparation of biogenic NPs and the known mechanisms for their biosynthesis. Natural plant extracts contain many different secondary metabolites and biomolecules, including flavonoids, alkaloids, terpenoids, phenolic compounds and enzymes. Secondary metabolites can enable the reduction of metal ions to NPs in eco-friendly one-step synthetic processes. Moreover, the green synthesis of NPs using plant extracts often obviates the need for stabilizing and capping agents and yields biologically active shape- and size-dependent products. Herein, we review the formation of metallic NPs induced by natural extracts and list the plant extracts used in the synthesis of NPs. In addition, the use of bacterial and fungal extracts in the synthesis of NPs is highlighted, and the parameters that influence the rate of particle production, size, and morphology are discussed. Finally, the importance and uniqueness of NP-based products are illustrated, and their commercial applications in various fields are briefly featured.
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| 14. |
- El-Seedi, Hesham R., et al.
(författare)
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Naturally Occurring Xanthones; Biological Activities, Chemical Profiles and In Silico Drug Discovery
- 2024
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Ingår i: Current Medicinal Chemistry. - : Bentham Science Publishers Ltd.. - 0929-8673 .- 1875-533X. ; 31:1, s. 62-101
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Forskningsöversikt (refereegranskat)abstract
- Xanthones are widely distributed polyphenols, present commonly in higher plants; Garcinia, Calophyllum, Hypericum, Platonia, Mangifera, Gentiana and Swertia. Xanthone tricyclic scaffold is able to interact with different biological targets, showing antibacterial and cytotoxic effects, as well as potent effects against osteoarthritis, malaria, and cardiovascular diseases. Thus, in this article we focused on pharmacological effects, applications and preclinical studies with the recent updates of xanthon & PRIME;s isolated compounds from 2017-2020. We found that only a-mangostin, gambogic acid, and mangiferin, have been subjected to preclinical studies with particular emphasis on the development of anticancer, diabetes, antimicrobial and hepatoprotective therapeutics. Molecular docking calculations were performed to predict the binding affinities of xanthone-derived compounds against SARS-CoV-2 M-pro. According to the results, cratoxanthone E and morellic acid demonstrated promising binding affinities towards SARS-CoV-2 M-pro with docking scores of -11.2 and -11.0 kcal/mol, respectively. Binding features manifested the capability of cratoxanthone E and morellic acid to exhibit nine and five hydrogen bonds, respectively, with the key amino acids of the M-pro active site. In conclusion, cratoxanthone E and morellic acid are promising anti-COVID-19 drug candidates that warrant further detailed in vivo experimental estimation and clinical assessment.
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| 15. |
- Guo, Zhiming, et al.
(författare)
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Chemometrics coupled 4-Aminothiophenol labelled Ag-Au alloy SERS off-signal nanosensor for quantitative detection of mercury in black tea
- 2020
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Ingår i: Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy. - : Elsevier BV. - 1386-1425 .- 1873-3557. ; 242
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Tidskriftsartikel (refereegranskat)abstract
- Black tea like other food crops is prone to mercury ion (Hg2+) contamination right from cultivation to industrial processing. Due to the dangerous health effects posed even in trace contents, sensitive detection and quantification sensors are required. This study employed the surface-enhanced Raman scattering (SERS) enhancement property of 4-aminothiophenol (4-ATP) as a signal turn off approach functionalized on Ag-Au alloyed nanopartide to firstly detect Hg2+ in standard solutions and spiked tea samples. Different chemometric algorithms were applied on the acquired SERS and inductively coupled plasma-mass spectrometry (ICP-MS) chemical reference data to select effective wavelengths and spectral variables in order to develop models to predict the Hg2+. Results indicated that Ag-Au/4-ATP SERS sensor combined with ant colony optimization partial least squares (ACO-PLS) exhibited the best correlation efficient and minimum errors for Hg2+ standard solutions (R-c = 0.984, R-p = 0.974, RMSEC = 0.157 mu g/mL, RMSEP = 0.211 mu g/mL) and spiked tea samples (R-c = 0.979, R-p = 0.963, RMSEC = 0.181 mu g/g and RMSEP = 0210 mu g/g). The limit of detection of the proposed sensor was 4.12 x 10(-7) mu g/mL for Hg2+ standard solutions and 2.83 x 10(-5) mu g/g for Hg2+ spiked tea samples. High stability and reproducibility with relative standard deviation of 1.14% and 0.84% were detected. The potent strong relationship between the SERS sensor and the chemical reference method encourages the application of the developed chemometrics coupled SERS system for future monitoring and evaluation of Hg2+ in tea.
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| 16. |
- Guo, Zhiming, et al.
(författare)
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Classification for Penicillium expansum Spoilage and Defect in Apples by Electronic Nose Combined with Chemometrics
- 2020
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Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 20:7
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Tidskriftsartikel (refereegranskat)abstract
- It is crucial for the efficacy of the apple storage to apply methods like electronic nose systems for detection and prediction of spoilage or infection by Penicillium expansum. Based on the acquisition of electronic nose signals, selected sensitive feature sensors of spoilage apple and all sensors were analyzed and compared by the recognition effect. Principal component analysis (PCA), principle component analysis-discriminant analysis (PCA-DA), linear discriminant analysis (LDA), partial least squares discriminate analysis (PLS-DA) and K-nearest neighbor (KNN) were used to establish the classification model of apple with different degrees of corruption. PCA-DA has the best prediction, the accuracy of training set and prediction set was 100% and 97.22%, respectively. synergy interval (SI), genetic algorithm (GA) and competitive adaptive reweighted sampling (CARS) are three selection methods used to accurately and quickly extract appropriate feature variables, while constructing a PLS model to predict plaque area. Among them, the PLS model with unique variables was optimized by CARS method, and the best prediction result of the area of the rotten apple was obtained. The best results are as follows: Rc = 0.953, root mean square error of calibration (RMSEC) = 1.28, Rp = 0.972, root mean square error of prediction (RMSEP) = 1.01. The results demonstrated that the electronic nose has a potential application in the classification of rotten apples and the quantitative detection of spoilage area.
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| 17. |
- Guo, Zhiming, et al.
(författare)
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Detection model transfer of apple soluble solids content based on NIR spectroscopy and deep learning
- 2023
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Ingår i: Computers and Electronics in Agriculture. - : Elsevier. - 0168-1699 .- 1872-7107. ; 212
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Tidskriftsartikel (refereegranskat)abstract
- Transfer and updating of near infrared (NIR) spectroscopy model of fruit internal quality has become the focus of the industrial application. Internet of Things (IoT) and deep learning (DL) were proposed to perform soluble solids content (SSC) model transfer of apple by NIR. A model transfer platform including low-power handheld internal quality terminal and interacting cloud data system had been constructed. An autoencoder (AE) neural network model was developed for the spectral correction and model transfer. The average time for transmitting detection results to the detection terminal was 1.5 to 2.0 s, with a 100% effective transmission rate. After 5000 iterations of training, the correlation coefficient of different detection terminals improved by 55%, and the root mean square error was reduced by 94%. Selected samples from the second batch of apples detected by the No. 1 detection terminal were added to the original neural network for training. After adding 30 samples, the correlation coefficient increased by 13% and the root mean square error decreased by 90%. The results demonstrated that the AE neural network for spectral correction was effective in eliminating differences between devices and significantly reducing the impact of different detection terminals on the accuracy of NIR detection of SSC in apples. Therefore, the NIR detection model transfer technique could be practically exploited for fruit quality control assessment using different detection terminals.
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| 18. |
- Guo, Zhiming, et al.
(författare)
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Detection of Heavy Metals in Food and Agricultural Products by Surface-enhanced Raman Spectroscopy
- 2023
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Ingår i: Food reviews international (Print). - : Taylor & Francis Group. - 8755-9129 .- 1525-6103. ; 39:3, s. 1440-1461
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Forskningsöversikt (refereegranskat)abstract
- Heavy metals accumulating in the human body produce physiological toxicity by interfering with the transport of human proteins and enzymes. Heavy metals detection is significant for food safety assurance. This review focuses on recent advances of heavy metals detection of food and agricultural products by surface-enhanced Raman spectroscopy (SERS). The article covers the SERS basic principles and advances in heavy metals detection, including mercury, arsenic, cadmium, lead, chromium among others. Insights in the potential of combining chemometrics and multivariate analysis with SERS and the exploration of novel SERS substrate platforms from both macro and micro scale are discussed. Finally, future application of SERS in heavy metal detection are prospected. SERS is a powerful and promising technique offering the advantages of simple sampling, rapid data collection and non-invasiveness. The findings of this study can allow better understanding of the heavy metals' occurrence and the possibility of its detection using SERS.
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| 19. |
- Guo, Zhiming, et al.
(författare)
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Determination of lead in food by surface-enhanced Raman spectroscopy with aptamer regulating gold nanoparticles reduction
- 2022
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Ingår i: Food Control. - : Elsevier. - 0956-7135 .- 1873-7129. ; 132
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Tidskriftsartikel (refereegranskat)abstract
- Lead ion (Pb2+) is a main heavy metal in food that causes heavy teratogenicity and carcinogenicity. In this study, a rapid and sensitive SERS method for detecting Pb2+ in food was established by aptamer regulating gold nanoparticles reduction. The reduction of HAuCl4 catalyzed by H2O2 is a slow process, and graphene oxide (GO) has excellent catalytic performance for the reaction, which enabled the system to generate gold nanoparticles (AuNPs) with high Raman activity. When the aptamer was introduced into the system, its binding with GO reduced the reaction speed. Upon adding Pb2+ to the system, the aptamer preferentially combined with Pb2+ and GO was released to accelerate the AuNPs production. The concentration of the AuNPs was proportional to the intensity of the added Raman signal molecule 4-MBA and the main Raman peak of Pb2+ appeared at 1595.80 cm(-1). The ability of a novel aptamer (M4-16) and traditional aptamers (T30695, TBA) for Pb2+ determination was compared, and the concentration of the aptamer, HAuCl4 and heating time were optimized to build optimal detection system. After several pretreatment of the original SERS spectroscopy, combined with the comparison of various models, the first-order derivative preprocessing combined with competitive adaptive reweighted sampling model achieved the best performance (R-c = 0.9966, R-p = 0.9972), the detection limit for Pb2+ was 0.1 mu g L-1. The combination of SERS technology and chemometrics is a promising method that could be used to achieve rapid and highly sensitive detection of Pb2+ in food.
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| 20. |
- Guo, Zhiming, et al.
(författare)
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Determination of perchlorate in tea using SERS with a superhydrophobically treated cysteine modified silver film/polydimethylsiloxane substrate
- 2021
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Ingår i: Analytical Methods. - : Royal Society of Chemistry. - 1759-9660 .- 1759-9679. ; 13:13, s. 1625-1634
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Tidskriftsartikel (refereegranskat)abstract
- Perchlorate is a new type of persistent pollutant, which interferes with the synthesis and secretion of thyroxine and affects human health. The EU's limit for perchlorate in tea is 750 mu g kg(-1). The surface-enhanced Raman scattering (SERS) technique has the characteristics of a simple pretreatment method, rapid detection, high sensitivity, high specificity and great stability in the detection of perchlorate. This study proposed a novel superhydrophobic SERS substrate, which can be used to detect perchlorate in tea. Firstly, a chemical deposition method was used to deposit a silver film on the surface of a thin layer of polydimethylsiloxane. After drying, the substrate was immersed in 1H,1H,2H,2H-perfluorodecyltriethoxysilane aqueous solution for 15 hours to make the surface of the substrate superhydrophobic. Then cysteine molecules were deposited on the surface of the silver film/polydimethylsiloxane by incubation. The superhydrophobic surface has a unique enrichment effect on the highly diluted solution, and perchlorate has a strong affinity for the amino group of cysteine. We collected the Raman spectra of 9 gradient concentrations (1-100 mu mol L-1) of perchlorate-spiked tea samples on the hydrophobic substrate, and a linear model of the relationship between the SERS spectral intensity and the concentrations of perchlorate in tea was established. This method reached a good limit of detection of 0.0067 mu mol L-1 (0.82 mu g kg(-1)) in tea, which showed that the developed sensor has high sensitivity and could be used as a fast and simple technique for quantitative detection of perchlorate based on SERS technology.
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| 21. |
- Guo, Zhiming, et al.
(författare)
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Identification of the apple spoilage causative fungi and prediction of the spoilage degree using electronic nose
- 2021
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Ingår i: Journal of food process engineering. - : John Wiley & Sons. - 0145-8876 .- 1745-4530. ; 44:10
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Tidskriftsartikel (refereegranskat)abstract
- Apple is resistant to storage, but it is susceptible to fungal infection during transportation and storage, resulting in serious losses after harvest. A convenient and nondestructive monitoring method for fungi-inoculated apples was proposed in this research. Four dominant spoilage fungi, including Aspergillus niger, Penicillium expansum, Penicillium chrysogenum, and Alternaria alternata, were inoculated on apple samples. The volatile information of samples with different degrees of spoilage was obtained by gas sensors. The pattern recognition methods were compared to classify the fungi and degrees of spoilage. Back propagation-artificial neural networks (BP-ANN) had the best identification model result with the highest recognition rates of 95.62 and 99.58% for fungi and spoilage degrees, respectively. The variable selection methods were employed, and variables of the gas sensors data for the prediction of apple spoilage area were optimized. The best prediction models of Aspergillus niger, Penicillium expansum, Penicillium chrysogenum, and Alternaria alternata were 0.854, 0.939, 0.909, and 0.918, respectively. The results show that the gas sensors can be used as a nondestructive technique in apple fungi infection evaluation. This proposed fruit spoilage detection technology is expected to provide a reference for the early detection of apple spoilage to promote food quality and safety inspection.Practical ApplicationsThis research used gas sensors to identify the four main spoilage fungi of apples and predicted the spoilage degree of apples using established prediction models. The apple spoilage detection method adopted in this research provides a reference for the early detection of fruit spoilage, which is helpful for apple storage and reduces the economic loss caused by corruption. It is an important measure to help ensure the economic benefits of apple and provide consumers with a large number of high-quality apple products.
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| 22. |
- Guo, Zhiming, et al.
(författare)
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Intelligent evaluation of taste constituents and polyphenols-to-amino acids ratio in matcha tea powder using near infrared spectroscopy
- 2021
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Ingår i: Food Chemistry. - : Elsevier. - 0308-8146 .- 1873-7072. ; 353
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Tidskriftsartikel (refereegranskat)abstract
- Matcha tea is rich in taste and bioactive constituents, quality evaluation of matcha tea is important to ensure flavor and efficacy. Near-infrared spectroscopy (NIR) in combination with variable selection algorithms was proposed as a fast and non-destructive method for the quality evaluation of matcha tea. Total polyphenols (TP), free amino acids (FAA), and polyphenols-to-amino acids ratio (TP/FAA) were assessed as the taste quality indicators. Successive projections algorithm (SPA), genetic algorithm (GA), and simulated annealing (SA) were subsequently developed from the synergy interval partial least squares (SiPLS). The overall results revealed that SiPLS-SPA and SiPLS-SA models combined with NIR exhibited higher predictive capabilities for the effective determination of TP, FAA and TP/FAA with correlation coefficient in the prediction set (Rp) of Rp > 0.97, Rp > 0.98 and Rp > 0.98 respectively. Therefore, this simple and efficient technique could be practically exploited for tea quality control assessment.
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| 23. |
- Guo, Zhiming, et al.
(författare)
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Label-free surface enhanced Raman scattering spectroscopy for discrimination and detection of dominant apple spoilage fungus
- 2021
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Ingår i: International Journal of Food Microbiology. - : Elsevier. - 0168-1605 .- 1879-3460. ; 338
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Tidskriftsartikel (refereegranskat)abstract
- Fungal infection is one of the main causes of apple corruption. The main dominant spoilage fungi in causing apple spoilage are storage mainly include Penicillium Paecilomyces paecilomyces (P. paecilomyces), penicillium chrysanthemum (P. chrysogenum), expanded Penicillium expansum (P. expansum), Aspergillus niger (Asp. niger) and Alternaria. In this study, surface-enhanced Raman spectroscopy (SERS) based on gold nanorod (AuNRs) substrate method was developed to collect and examine the Raman fingerprints of dominant apple spoilage fungus spores. Standard normal variable (SNV) was used to pretreat the obtained spectra to improve signal-tonoise ratio. Principal component analysis (PCA) was applied to extract useful spectral information. Linear discriminant analysis (LDA) and non-linear pattern recognition methods including K nearest neighbor (KNN), Support vector machine (SVM) and back propagation artificial neural networks (BPANN) were used to identify fungal species. As the comparison of modeling results shown, the BPANN model established based on the characteristic spectra variables have achieved the satisfactory result with discrimination accuracy of 98.23%; while the PCA-LDA model built using principal component variables achieved the best distinguish result with discrimination accuracy of 98.31%. It was concluded that SERS has the potential to be an inexpensive, rapid and effective method to detect and identify fungal species.
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| 24. |
- Guo, Zhiming, et al.
(författare)
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Nondestructive monitoring storage quality of apples at different temperatures by near-infrared transmittance spectroscopy
- 2020
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Ingår i: Food Science & Nutrition. - : WILEY. - 2048-7177. ; 8:7, s. 3793-3805
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Tidskriftsartikel (refereegranskat)abstract
- Apple is the most widely planted fruit in the world and is popular in consumers because of its rich nutritional value. In this study, the portable near-infrared (NIR) transmittance spectroscopy coupled with temperature compensation and chemometric algorithms was applied to detect the storage quality of apples. The postharvest quality of apples including soluble solids content (SSC), vitamin C (VC), titratable acid (TA), and firmness was evaluated, and the portable spectrometer was used to obtain near-infrared transmittance spectra of apples in the wavelength range of 590-1,200 nm. Mixed temperature compensation method (MTC) was used to reduce the influence of temperature on the models and to improve the adaptability of the models. Then, variable selection methods, such as uninformative variable elimination (UVE), competitive adaptive reweighted sampling (CARS), and successive projections algorithm (SPA), were developed to improve the performance of the models by determining characteristic variables and reducing redundancy. Comparing the full spectral models with the models established on variables selected by different variable selection methods, the CARS combined with partial least squares (PLS) showed the best performance with prediction correlation coefficient (R-p) and residual predictive deviation (RPD) values of 0.9236, 2.604 for SSC; 0.8684, 2.002 for TA; 0.8922, 2.087 for VC; and 0.8207, 1.992 for firmness, respectively. Results showed that NIR transmittance spectroscopy was feasible to detect postharvest quality of apples during storage.
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| 25. |
- Guo, Zhiming, et al.
(författare)
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Novel mesoporous silica surface loaded gold nanocomposites SERS aptasensor for sensitive detection of zearalenone
- 2023
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Ingår i: Food Chemistry. - : Elsevier. - 0308-8146 .- 1873-7072. ; 403
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Tidskriftsartikel (refereegranskat)abstract
- Mycotoxin contamination is a severe threat to global food security, thus fast and effective detection of myco-toxins is of great significance. Herein, mesoporous silica surface loaded gold nanocomposites (MSN-Rh6G-AuNPs) were prepared as surface-enhanced Raman scattering (SERS) substrate, and the SERS aptasensor (MSN-Rh6G-AuNPs@apt) was further obtained by aptamer functionalization which can realize the quantitative and sensitive detection of zearalenone (ZEN). The small nanogaps between AuNPs made MSN-Rh6G-AuNPs present strong SERS performance under excitation light irradiation, while the aptamer performed the functions of ZEN recognition and Raman signal masking. The acquired results revealed that the SERS intensity at 1508 cm-1 had a good linear relationship with ZEN concentration of 3-200 ng/mL and the limit of detection (LOD) was calculated to be 0.0064 ng/mL. In addition, the designed SERS aptasensor was successfully applied to the detection of ZEN in corn, indicating great potential in practical implications.
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| 26. |
- Guo, Zhiming, et al.
(författare)
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Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy
- 2020
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Ingår i: Journal of Food Engineering. - : ELSEVIER SCI LTD. - 0260-8774 .- 1873-5770. ; 279
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Tidskriftsartikel (refereegranskat)abstract
- Near-infrared (NIR) spectroscopy as an emerging analytical technique was used for the first time to quantitatively detect the watercore degree and soluble solids content (SSC) in apple. To reduce the data processing time and meet the needs of practical application, the variable selection methods including synergy interval (SI), successive projections algorithm (SPA), genetic algorithm (GA) and competitive adaptive reweighted sampling (CARS) were used to identify the characteristic variables and simplify the models. The spectral variables closely related to the apple bioactive components were used for the establishment of the partial least squares (PLS) models. The predictive correlation coefficient (R-p), root mean square error of prediction (RMSEP), and residual predictive deviation (RPD) were used to estimate the performance of the models. The CARS-PLS models displayed the best prediction performance using 600-1000 nm spectra with R-p, RMSEP, and RPD values of 0.9562, 1.340% and 3.720 for apple watercore degree; 0.9808, 0.327 (o)Bx and 4.845 for apple SSC, respectively. These results demonstrate the potential of the NIR transmittance spectroscopy technology for quantitative detection of SSC and watercore degree in apple fruit.
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| 27. |
- Guo, Zhiming, et al.
(författare)
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Rapid enrichment detection of patulin and alternariol in apple using surface enhanced Raman spectroscopy with coffee-ring effect
- 2021
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Ingår i: Lebensmittel-Wissenschaft + Technologie. - : Elsevier. - 0023-6438 .- 1096-1127. ; 152
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Tidskriftsartikel (refereegranskat)abstract
- Patulin (PAT) and alternariol (AOH) are the main mycotoxin contaminants in fruits and their products, which have great toxic effects on human body due to their teratogenicity and carcinogenicity. This study proposed a surface enhanced Raman spectroscopy (SERS) technology combining chemometrics and coffee-ring effect to build high-throughput label-free detection models for PAT and AOH. A stable coffee ring structure was built by optimizing the drying temperature and droplet volume. Comparing the partial least squares (PLS) models grounded on variables selection method, the best performance was obtained by using synergy interval (Si) and genetic algorithm (GA) for PAT (R-c = 0.9905, R-p = 0.9759) and AOH (R-c = 0.9829, R-p = 0.9808), respectively. The limits of detection (LOD) for PAT and AOH were as low as 1 mu g L-1, and the recovery rates were 92.80%-114.83% with relative standard deviation (RSD) = 4.86 for PAT and 82.06%-108.13% with RSD <= 2.28% for AOH. The SERS technology combined with chemometrics and coffee-ring effect holds promise for high-throughput label-free detection of PAT and AOH in fruits and their products.
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| 28. |
- Guo, Zhiming, et al.
(författare)
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Sensitive determination of Patulin by aptamer functionalized magnetic surface enhanced Raman spectroscopy (SERS) sensor
- 2023
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Ingår i: Journal of Food Composition and Analysis. - : Elsevier BV. - 0889-1575 .- 1096-0481. ; 115
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Tidskriftsartikel (refereegranskat)abstract
- Food pollution caused by Patulin (PAT) seriously threatens the safety of human diets and has attracted extensive attention. Early and accurate detections of PAT are essential to prevent further toxin spreading and contamination. A surface enhanced Raman scattering (SERS) aptasensor was fabricated by combining a gold-silver core shell structure containing signal molecule (ADANRs) and chitosan modified magnetic nanoparticles (CS-Fe3O4). The modified ADANRs with the complementary chain of the aptamer (SH-cDNA-ADANRs) which were served as the signal probes and the aptamer modified CS-Fe3O4 (NH2-apt-CS-Fe3O4) were served as the capture probes. In addition to the ability to recognize the target PAT, the capture probe also showed a strong enrichment ability under the action of external magnetic force. The intraparticle plasma coupling between the inner gold core and the outer silver shell can greatly improve the SERS activity of the signal molecules. SERS aptasensor was used to collect the spectra of actual apple samples spiked with different PAT content. The minimum detection limit of SERS aptasensor for detecting PAT in actual samples was 0.0384 ng/mL and the recovery rate range was from 96.3% to 108%. In conclusion, the sensitive and specific SERS aptasensor detection of PAT based on aptamer functionalized nanoparticles exhibited great potential for practical application in mycotoxin detection and analysis.
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| 29. |
- Guo, Zhiming, et al.
(författare)
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Simultaneous quantification of active constituents and antioxidant capability of green tea using NIR spectroscopy coupled with swarm intelligence algorithm
- 2020
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Ingår i: Lebensmittel-Wissenschaft + Technologie. - : ELSEVIER. - 0023-6438 .- 1096-1127. ; 129
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Tidskriftsartikel (refereegranskat)abstract
- A simple, rapid and low-cost analytical method was employed for simultaneous determination of bioactive constituents and antioxidant capability of green tea. The strategy was based on swarm intelligence algorithms with partial least squares (PLS) such as simulated annealing PLS (SA-PLS), ant colony optimization PLS (ACO-PLS), genetic algorithm PLS (GA-PLS), and synergy interval PLS (Si-PLS) coupled with Near-infrared (NIR) spectroscopy. These algorithms were independently applied to select informative spectral variables and improve the prediction of green tea components. Results showed that NIR combined with SA-PLS and Si-PLS had a strong correlation coefficient with the wet-chemical methods for predicting epigallocatechin gallate (R-p(2) = 0.97); epigallocatechin (R-p(2) = 0.97); epicatechin gallate (R-p(2) = 0.96); epicatechin (R-p(2) = 0.91); catechin (R-p(2) = 0.98); caffeine (R-p(2) = 0.96); theanine (R-p(2) = 0.93); and antioxidant capability (R-p(2) = 0.80) in green tea. Our results revealed the potential utilization of NIR spectroscopy coupled with SA-PLS and Si-PLS algorithms as an effective and robust technique to simultaneously predict active constituents and antioxidant capability of green tea.
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| 30. |
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| 31. |
- Ke, Qian, et al.
(författare)
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Determination of Dicofol in Tea Using Surface-Enhanced Raman Spectroscopy Coupled Chemometrics
- 2023
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Ingår i: Molecules. - : MDPI AG. - 1431-5157 .- 1420-3049. ; 28:14
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Tidskriftsartikel (refereegranskat)abstract
- Dicofol is a highly toxic residual pesticide in tea, which seriously endangers human health. A method for detecting dicofol in tea by combining stoichiometry with surface-enhanced Raman spectroscopy (SERS) technology was proposed in this study. AuNPs were prepared, and silver shells were grown on the surface of AuNPs to obtain core-shell Au@AgNPs. Then, the core-shell Au@AgNPs were attached to the surface of a PDMS membrane by physical deposition to obtain a Au@AgNPs/PDMS substrate. The limit of detection (LOD) of this substrate for 4-ATP is as low as 0.28 x 10(-11) mol/L, and the LOD of dicofol in tea is 0.32 ng/kg, showing high sensitivity. By comparing the modeling effects of preprocessing and variable selection algorithms, it is concluded that the modeling effect of Savitzky-Golay combined with competitive adaptive reweighted sampling-partial least squares regression is the best (Rp = 0.9964, RPD = 10.6145). SERS technology combined with stoichiometry is expected to rapidly detect dicofol in tea without labels.
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| 32. |
- Khalifa, Shaden A. M., et al.
(författare)
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Bee Pollen : Current Status and Therapeutic Potential
- 2021
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Ingår i: Nutrients. - : MDPI AG. - 2072-6643. ; 13:6
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Forskningsöversikt (refereegranskat)abstract
- Bee pollen is a combination of plant pollen and honeybee secretions and nectar. The Bible and ancient Egyptian texts are documented proof of its use in public health. It is considered a gold mine of nutrition due to its active components that have significant health and medicinal properties. Bee pollen contains bioactive compounds including proteins, amino acids, lipids, carbohydrates, minerals, vitamins, and polyphenols. The vital components of bee pollen enhance different bodily functions and offer protection against many diseases. It is generally marketed as a functional food with affordable and inexpensive prices with promising future industrial potentials. This review highlights the dietary properties of bee pollen and its influence on human health, and its applications in the food industry.
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| 33. |
- Khalifa, Shaden A. M., et al.
(författare)
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Beyond the Pandemic : COVID-19 Pandemic Changed the Face of Life
- 2021
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Ingår i: International Journal of Environmental Research and Public Health. - : MDPI AG. - 1661-7827 .- 1660-4601. ; 18:11
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Forskningsöversikt (refereegranskat)abstract
- The COVID-19 pandemic is a serious challenge for societies around the globe as entire populations have fallen victim to the infectious spread and have taken up social distancing. In many countries, people have had to self-isolate and to be confined to their homes for several weeks to months to prevent the spread of the virus. Social distancing measures have had both negative and positive impacts on various aspects of economies, lifestyles, education, transportation, food supply, health, social life, and mental wellbeing. On other hands, due to reduced population movements and the decline in human activities, gas emissions decreased and the ozone layer improved; this had a positive impact on Earth's weather and environment. Overall, the COVID-19 pandemic has negative effects on human activities and positive impacts on nature. This study discusses the impact of the COVID-19 pandemic on different life aspects including the economy, social life, health, education, and the environment.
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| 34. |
- Khalifa, Shaden A. M., et al.
(författare)
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Frankincense of Boswellia sacra: Traditional and modern applied uses, pharmacological activities, and clinical trials
- 2023
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Ingår i: Industrial crops and products (Print). - : Elsevier. - 0926-6690 .- 1872-633X. ; 203
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Tidskriftsartikel (refereegranskat)abstract
- Since Boswellia sacra (Burseraceae) was studied in the 19th century, it has been known for its economic and cultural values. It is cultivated mainly in the southwest regions of Oman and some regions of Yemen, and is a natural source of frankincense, "Luban" in Arabic, around the world. Frankincense, the aromatic resin of B. sacra, is used widely both for traditional purposes and for the treatment of various ailments; e.g., dental infections, tumors, dysentery, vomiting, and fevers. Recently, many reports provided evidence for the potential biological activities of B. sacra, its synonym Boswellia carteri, and their constituent chemical compounds. These activities include cytotoxic, anti-inflammatory, antimicrobial, anti-diabetes, immunomodulatory, and anticoagulant effects. B. sacra was also tested for effects against gastric, hepatic, neurological, and skin disorders in vitro and in vivo. Clinical trials revealed good effects against carcinomas and gliomas, as well as against bladder and brain tumors. Its uses as a plant-based agent in nanotechnology displayed promising results. More efforts should be directed to further investigate these safe, plant-based bio-preservatives, and best practices should be outlined to protect these trees from extinction.
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| 35. |
- Khalifa, Shaden A. M., et al.
(författare)
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Recent insights into chemical and pharmacological studies of bee bread
- 2020
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Ingår i: Trends in Food Science & Technology. - : Elsevier BV. - 0924-2244 .- 1879-3053. ; 97, s. 300-316
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Forskningsöversikt (refereegranskat)abstract
- Background: Bee bread is a product of the fermentation of a mixture of pollen, nectar and bee saliva that is inoculated by a wide range of bacteria and yeasts necessary for fermentation after storage in comb cells. Bee bread is regarded as the chief protein resource that bees can utilize, especially for feeding of larvae and adults. Since ancient times, bee bread has been used in different cultures for several nutritional and therapeutic purposes.Scope and approach: In this review, we attempt to highlight the possible biological activities, chemical components, methods of isolation and structure of bee bread in addition to its food supplement value and/or medical applications.Key findings and conclusions: Bee bread has been shown to exhibit antimicrobial, antioxidant, antiradical, anticancer, and anti-inflammatory activities. The basic chemical components of bee bread include carbohydrates, proteins and vitamins, as well as minerals, fatty acids and other substances such as enzymes, natural antibiotics, antioxidants and hormones. Bee bread is considered to be a beneficial food supplement. In recent years, there has been significant interest in the use of bee bread to treat many illnesses.
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| 36. |
- Ni, Lianshan, et al.
(författare)
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Challenges and Strategies towards Single-Crystalline Ni-Rich Layered Cathodes
- 2022
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Ingår i: Advanced Energy Materials. - : Wiley. - 1614-6832 .- 1614-6840. ; 12:31
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Forskningsöversikt (refereegranskat)abstract
- The ever-increasing energy density requirements in electric vehicles (EVs) have boosted the development of Ni-rich layered oxide cathodes for state-of-the-art lithium-ion batteries. Nevertheless, the commercialization of polycrystalline Ni-rich cathodes (PCNCs) is hindered by the severe performance degradation and safety concerns that are tightly related to its particle cracking during cycling. Single-crystalline Ni-rich cathodes (SCNCs) with eliminated grain boundaries and high mechanical strength have recently attracted extensive attention owing to their superior structural and cycling stability, which present high crack resistance during electrochemical operation. Various articles have focused on the trial-and-error synthesis and modifications of SCNCs, as well as the comparison of performances and mechanisms with PCNCs. However, there has been much less effort in systematic analysis and summary to reveal their key challenges, controversies, and the corresponding primary causes. In this review, the advantages and debates in structural and electrochemical properties of SCNCs over PCNCs are summarized to provide fundamental understanding of SCNCs. Then the current practical issues and challenges are comprehensively discussed from the viewpoints of both academia and industry, as well as the proposed modification strategies and underlying mechanisms for SCNCs. The outlook and perspectives are further given to facilitate the commercial applications of SCNCs in high-performance EVs.
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| 37. |
- Pei, Mingyang, et al.
(författare)
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Life-Cycle analysis of economic and environmental effects for electric bus transit systems
- 2024
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Ingår i: Transportation Research Part D: Transport and Environment. - 1361-9209. ; 131
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Tidskriftsartikel (refereegranskat)abstract
- Electric buses play a crucial role in reducing the carbon footprint. This study evaluates the life cycle costs (LCCs) and environmental impacts of three e-bus transit systems: stationary charging, battery swapping, and dynamic wireless charging. A mixed-integer nonlinear optimization problem is formulated to determine the optimal design parameters for the charging infrastructure, bus fleet size, and battery capacity for each e-bus transit system considering battery degradation. Taking Guangzhou's Bus Rapid Transit (BRT) system as an example, a sensitivity analysis of the optimized solution is conducted. The LCC analysis framework is extended to BRT systems in 38 cities globally. The results indicate the superiority of battery swapping in most cases, while stationary charging and dynamic wireless charging are more competitive in cases with long circuit lengths and high service frequencies. Dynamic wireless charging becomes the best option when charging infrastructure is shared with other bus lines or private cars.
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| 38. |
- Tahir, Haroon Elrasheid, et al.
(författare)
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Authentication of the geographical origin of Roselle (Hibiscus sabdariffa L) using various spectroscopies : NIR, low-field NMR and fluorescence
- 2020
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Ingår i: Food Control. - : ELSEVIER SCI LTD. - 0956-7135 .- 1873-7129. ; 114
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Tidskriftsartikel (refereegranskat)abstract
- Roselle (Hibiscus sabdariffa) quality is strongly influenced by several factors and the geographical origin is one of the key parameters. However, fraudulent practices including mislabeling of the geographical sources might occur. In the present experiment, the analyzed samples consisted of 64 authentic samples originating from the world's best roselle country (Sudan) and eight samples from the world's largest producer (China) were investigated. The study investigated whether near-infrared spectroscopy (NIR), low filed NMR (LF-NMR) spectroscopy and fluorescence spectroscopy can enable roselle geographical origin to be identified. Principal components analysis (PCA), hierarchical cluster analysis (HCA) and PCA combined with linear discriminant analysis (PCA-LDA) were performed on NIR data to assess a possible classification of samples based on origin. Roselle samples from the same geographical areas might group together in the PCA plot. Correct discrimination was achieved by HCA. The classification of the samples into calibration and prediction sets yielded 100% discrimination rates for both calibration and prediction sets. LF-NMR measurement, to detect differences in the relaxation times, indicated that these were affected by the variations in geographical origins. Additionally, the fluorescence spectroscopy spectra presented different shapes and intensity of fluorescence emissions, demonstrating the differences in the samples. This study proved that the three spectroscopies could be viable tools for utilization in classifying roselle samples by their geographical origins.
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| 39. |
- Tahir, Haroon Elrasheid, et al.
(författare)
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HPLC-DAD, GC-MS, UHPLC-Q-TOF/MS2, ICP-MS and FT-NIR combined with the chemometrics explain seasonal variation in Cassia senna L. leaves from the coast of Red Sea in Sudan
- 2023
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Ingår i: South African Journal of Botany. - : Elsevier. - 0254-6299 .- 1727-9321. ; 163, s. 20-29
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Tidskriftsartikel (refereegranskat)abstract
- Crops reveal considerable capability to regulate their phytochemicals and trace element contents to seasonal changes in temperature and rainfalls. In this study, we have measured the secondary metabolites, volatiles, and trace elements of Cassia senna L leaves collected from the Red Sea State, Sudan during winter 2018, summer 2019, and autumn 2020. Chemical profiles were evaluated by High-performance liquid chromatography with diode-array detection (HPLC-DAD), Ultra-high performance liquid chromatography (UHPLC); Inductively coupled plasma mass spectrometry(ICP-MS), Gas chromatography-mass spectrometry (GC-MS), Fourier-transform near-infrared spectroscopy (FT-NIR). 46 metabolites, 33 volatile compounds, and 13 elements were reported. The findings suggested significant seasonal variations in sennoside (A-B) compounds, which were reported to have positive health effects. In this study, aloesin was identified for the first time in senna leaves. Analysis of seasonal variations was obtained by principal component analysis and orthogonal partial least squares discriminant model. Additionally, chemical markers for each harvest season were reported. Overall, the number of metabolites and volatiles identified as a function of the season was autumn > summer> winter. Our results have enhanced the knowledge of the selection of harvesting time, with the best characteristics for the intended therapeutic application.(c) 2023 SAAB. Published by Elsevier B.V. All rights reserved.
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| 40. |
- Tahir, Haroon Elrasheid, et al.
(författare)
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Smart films fabricated from natural pigments for measurement of total volatile basic nitrogen (TVB-N) content of meat for freshness evaluation : A systematic review
- 2022
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Ingår i: Food Chemistry. - : Elsevier. - 0308-8146 .- 1873-7072. ; 396
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Forskningsöversikt (refereegranskat)abstract
- Major databases were searched from January 2012 to August 2021 and 54 eligible studies were included in the meta-analysis to estimate the overall mean of total volatile basic nitrogen (TVB-N) in meat. The mean of TVB-N was 24.96 mg/100 g (95 % CI:23.10-26.82). The pooled estimate of naphthoquinone, curcumin, anthocyanins, alizarin and betalains were 25.98 mg/100 g (95 %CI:19.63-32.33), 30.03 mg/100 g (95 %CI: 24.15-35.91), 24.92 mg/100 g (95 %CI: 22.55-27.30), 23.37 mg/100 g (95 %CI:19.42-27.33) and 19.50 mg/100 g (95 % CI:17.87-21.12), respectively. Meanwhile, subgroups based on meat types showed that smart film was most used in aquatic products at 27.19 mg/100 g (95 %CI:24.97-29.42), followed by red meat at 19.69 mg/100 g (95 % CI:17.44-21.94). Furthermore, 4 degrees C was the most storage temperature used for testing the performance of smart films at 25.48 mg/100 g (95 %CI:23.05-27.90), followed by storage at 25 degrees C of 25.65 mg/100 g (95 % CI:22.17-29.13). Substantial heterogeneity was found across the eligible studies (I-2 = 99 %, p = 0.00). The results of the trim-and-fill method demonstrated publication bias was well controlled.
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| 41. |
- Tahir, Haroon Elrasheid, et al.
(författare)
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The use of analytical techniques coupled with chemometrics for tracing the geographical origin of oils : A systematic review (2013-2020)
- 2022
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Ingår i: Food Chemistry. - : Elsevier. - 0308-8146 .- 1873-7072. ; 366
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Forskningsöversikt (refereegranskat)abstract
- The global market for imported, high-quality priced foods has grown dramatically in the last decade, as consumers become more conscious of food originating from around the world. Many countries require the origin label of food to protect consumers need about true characteristics and origin. Regulatory authorities are looking for an extended and updated list of the analytical techniques for verification of authentic oils and to support law implementation. This review aims to introduce the efforts made using various analytical tools in combination with the multivariate analysis for the verification of the geographical origin of oils. The popular analytical tools have been discussed, and scientometric assessment that underlines research trends in geographical authentication and preferred journals used for dissemination has been indicated. Overall, we believe this article will be a good guideline for food industries and food quality control authority to assist in the selection of appropriate methods to authenticate oils.
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| 42. |
- Wang, Kai, et al.
(författare)
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Zinc anode based alkaline energy storage system: Recent progress and future perspectives of zinc–silver battery
- 2024
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Ingår i: Energy Storage Materials. - 2405-8297. ; 69
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Forskningsöversikt (refereegranskat)abstract
- Rechargeable zinc-based batteries have come to the forefront of energy storage field with a surprising pace during last decade due to the advantageous safety, abundance and relatively low cost, making them important supplements of lithium-ion batteries. As a significant role in zinc-based batteries, zinc-silver battery owns the advantages of high specific energy density, stable working voltage, high charging efficiency, safety and environmental friendliness, and it has been widely used in military such as in aerospace, deep water manned and civil field such as energy supply for watch and hearing aid. However, it is still suffering from a few drawbacks such as unsatisfactory cycle life, low utilization of the cathode. This review introduces the basic principles of zinc-silver batteries and elaborates the battery configurations aiming to understand its working mechanisms as well as the related issues. Most importantly, the very recent research updates and the concerns have arisen in the development are summarized from conventional cell to flexible device and hybrid device. Finally, the challenges and perspectives of zinc-silver batteries are further prospected to give a broad idea to readers new in the area and trigger inspirations for motivated researchers to further widen the utilization of silver-zinc batteries.
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| 43. |
- Wu, Xinchen, et al.
(författare)
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Core-satellite nanoassembly system with aptamer-conjugated Au@Ag nanoparticles for SERS detection of patulin in apples
- 2024
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Ingår i: Food Control. - : Elsevier. - 0956-7135 .- 1873-7129. ; 159
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Tidskriftsartikel (refereegranskat)abstract
- Patulin (PAT), a major contaminant in apples, poses a huge threat to human health as well as the economic sector. There is an urgent need to develop a sensitive, selective, and fast-responsive method to detect PAT in apples. However, one of the main challenges is overcoming the interferences of complex food matrices. In this study, we developed a highly sensitive competitive SERS sensor based on plasmonic nanoparticles modified by aptamers. The study utilized the formation of nanocomposites through aptamer-modified Au@Ag nanoparticles (NPs) and gold nano-stars (AuNSs) to induce high-intensity Raman signals from the SERS tag. Subsequently, in the presence of PAT, the nanocomposites underwent decomposition, evident through the significant decrease in SERS intensity. According to the standard curve established in this study, the detection limit was 0.0281 ng/mL. The competitive sensor was applied to spiked apple fruit and juice samples, indicating a recovery rate ranging from 91.98% to 102.94%. The excellent analytical performances and high sensitivity observed suggest the potential of the plasmonic nanocomposite sensing strategy in detecting PAT in real matrices.
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| 44. |
- Xue, Shanshan, et al.
(författare)
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A film-like SERS aptasensor for sensitive detection of patulin based on GO@Au nanosheets
- 2024
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Ingår i: Food Chemistry. - : Elsevier. - 0308-8146 .- 1873-7072. ; 441
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Tidskriftsartikel (refereegranskat)abstract
- Patulin (PAT) commonly contaminates fruits, posing a significant risk to human health. Therefore, a highly effective and sensitive approach in identifying PAT is warranted. Herein, a SERS aptasensor was constructed based on a two-dimensional film -like structure. GO@Au nanosheets modified with SH-cDNA were employed as capture probes, while core -shell Au@Ag nanoparticles modified with 4 -MBA and SH-Apt were utilized as signal probes. Through the interaction between capture probes and signal probes, adjustable hotspots were formed, yielding a significant Raman signal. During sensing, the GO@Au-cDNA competitively attached to Au@AgNPs@MBA-Apt, resulting in an inverse relationship between PAT levels and SERS intensity. The acquired results exhibited linear responses to PAT within the range of 1-70 ng/mL, with a calculated limit of detection of 0.46 ng/mL. In addition, the SERS aptasensor exhibited satisfactory recoveries in apple samples, which aligned closely with HPLC. With high sensitivity and specificity, this method holds significant potential for PAT detection.
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| 45. |
- Yang, Xiaoxue, et al.
(författare)
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Improved deep reinforcement learning for car-following decision-making
- 2023
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Ingår i: Physica A. - : Elsevier B.V.. - 0378-4371 .- 1873-2119. ; 624
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Tidskriftsartikel (refereegranskat)abstract
- Accuracy improvement of Car-following (CF) model has attracted much attention in recent years. Although a few studies incorporate deep reinforcement learning (DRL) to describe CF behaviors, proper design of reward function is still an intractable problem. This study improves the deep deterministic policy gradient (DDPG) car-following model with stacked denoising autoencoders (SDAE), and proposes a data-driven reward representation function, which quantifies the implicit interaction between ego vehicle and preceding vehicle in car-following process. The experimental results demonstrate that DDPG-SDAE model has superior ability of imitating driving behavior: (1) validating effectiveness of the reward representation method with low deviation of trajectory; (2) demonstrating generalization ability on two different trajectory datasets (HighD and SPMD); (3) adapting to three traffic scenarios clustered by a dynamic time warping distance based k-medoids method. Compared with Recurrent Neural Networks (RNN) and intelligent driver model (IDM), DDPG-SDAE model shows better performance on the deviation of speed and relative distance. This study demonstrates superiority of a novel reward extraction method fusing SDAE into DDPG algorithm and provides inspiration for developing driving decision-making model. © 2023 Elsevier B.V.
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| 46. |
- Yin, Limei, et al.
(författare)
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Development of a Sensitive SERS Method for Label-Free Detection of Hexavalent Chromium in Tea Using Carbimazole Redox Reaction
- 2023
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Ingår i: Foods. - : MDPI AG. - 2304-8158. ; 12:14
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Tidskriftsartikel (refereegranskat)abstract
- Tea plants absorb chromium-contaminated soil and water and accumulate in tea leaves. Hexavalent chromium (Cr6+) is a very toxic heavy metal; excessive intake of tea containing Cr6+ can cause serious harm to human health. A reliable and sensitive surface-enhanced Raman spectroscopy (SERS) method was developed using Au@Ag nanoparticles as an enhanced substrate for the determination of Cr6+ in tea. The Au@AgNPs coated with carbimazole showed a highly selective reaction to Cr6+ in tea samples through a redox reaction between Cr6+ and carbimazole. The Cr6+ in the contaminated tea sample reacted with methimazole-the hydrolysate of carbimazole-to form disulfide, which led to the decrease in the Raman intensity of the peak at 595 cm(-1). The logarithm of the concentration of Cr6+ has a linear relationship with the Raman intensity at the characteristic peak and showed a limit of detection of 0.945 mg/kg for the tea sample. The carbimazole functionalized Au@AgNPs showed high selectivity in analyzing Cr6+ in tea samples, even in the presence of other metal ions. The SERS detection technique established in this study also showed comparable results with the standard ICP-MS method, indicating the applicability of the established technique in practical applications.
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| 47. |
- Yin, Limei, et al.
(författare)
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Dual-layers Raman reporter-tagged Au@Ag combined with core-satellite assemblies for SERS detection of Zearalenone
- 2023
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Ingår i: Food Chemistry. - : Elsevier BV. - 0308-8146 .- 1873-7072. ; 429
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Tidskriftsartikel (refereegranskat)abstract
- Zearalenone (ZEN) is a prevalent mycotoxin identified in corn. A SERS-based immunosensor by constructing core-satellite assemblies was developed for ZEN detection. ZEN monoclonal antibody modified gold nanostars (AuNSs) were fabricated as the capture probe (core). The Raman signal probes (satellites) utilized ZEN antigen linked to the core-shell structures loaded with two layers of Raman reporter molecules (AuMBA@AgMBANPs). The coupling between AuNSs and AuMBA@AgMBANPs can produce a poweful electromagnetic field, thus considerably amplifying the Raman signal. The detection range of ZEN for corn samples under the optimal conditions was 5 -400 & mu;g/kg with a LOD of 3 & mu;g/kg, which completely satisfying the requirement of maximum residual level (60 & mu;g/kg). Moreover, the proposed SERS method was consistent with the HPLC-FLD method for the detection of ZEN in naturally contaminated corn samples (90.58% -105.29%). Conclusively, fabricated immunosensor with exceptional sensitivity and specificity broaden the application of SERS in mycotoxin detection.
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| 48. |
- Yin, Limei, et al.
(författare)
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Rapid and sensitive detection of zearalenone in corn using SERS-based lateral flow immunosensor
- 2022
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Ingår i: Food Chemistry. - : Elsevier. - 0308-8146 .- 1873-7072. ; 396
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Tidskriftsartikel (refereegranskat)abstract
- Zearalenone (ZEN) is a universal mycotoxin contaminant in corn and its products. A surface-enhanced Raman scattering (SERS) based test strip was proposed for the detection of ZEN, which had the advantages of simplicity, rapidity, and high sensitivity. Core-shell Au@AgNPs with embedded reporter molecules (4-MBA) were synthesized as SERS nanoprobe, which exhibited excellent SERS signals and high stability. The detection range of ZEN for corn samples was 10–1000 μg/kg with the limit of detection (LOD) of 3.6 μg/kg, which is far below the recommended tolerable level (60 μg/kg). More importantly, the SERS method was verified by HPLC in the application on corn samples contaminated with ZEN, and the coincidence rates were in the range of 86.06%–111.23%, suggesting a high accuracy of the SERS assay. Therefore, the SERS-based test strip with an analysis time of less than 15 min is a promising tool for accurate and rapid detection of ZEN-field contamination.
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| 49. |
- Yin, Limei, et al.
(författare)
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Spoilage Monitoring and Early Warning for Apples in Storage Using Gas Sensors and Chemometrics
- 2023
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Ingår i: Foods. - : MDPI AG. - 2304-8158. ; 12:15
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Tidskriftsartikel (refereegranskat)abstract
- In the process of storage and cold chain logistics, apples are prone to physical bumps or microbial infection, which easily leads to spoilage in the micro-environment, resulting in widespread infection and serious post-harvest economic losses. Thus, development of methods for monitoring apple spoilage and providing early warning of spoilage has become the focus for post-harvest loss reduction. Thus, in this study, a spoilage monitoring and early warning system was developed by measuring volatile component production during apple spoilage combined with chemometric analysis. An apple spoilage monitoring prototype was designed to include a gas monitoring array capable of measuring volatile organic compounds, such as CO2, O-2 and C2H4, integrated with the temperature and humidity sensor. The sensor information from a simulated apple warehouse was obtained by the prototype, and a multi-factor fusion early warning model of apple spoilage was established based on various modeling methods. Simulated annealing-partial least squares (SA-PLS) was the optimal model with the correlation coefficient of prediction set (R-p) and root mean square error of prediction (RMSEP) of 0.936 and 0.828, respectively. The real-time evaluation of the spoilage was successfully obtained by loading an optimal monitoring and warning model into the microcontroller. An apple remote monitoring and early warning platform was built to visualize the apple warehouse's sensors data and spoilage level. The results demonstrated that the prototype based on characteristic gas sensor array could effectively monitor and warn apple spoilage.
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| 50. |
- Yosri, Nermeen, et al.
(författare)
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Anti-Viral and Immunomodulatory Properties of Propolis : Chemical Diversity, Pharmacological Properties, Preclinical and Clinical Applications, and In Silico Potential against SARS-CoV-2
- 2021
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Ingår i: Foods. - : MDPI AG. - 2304-8158. ; 10:8
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Forskningsöversikt (refereegranskat)abstract
- Propolis, a resin produced by honeybees, has long been used as a dietary supplement and folk remedy, and more recent preclinical investigations have demonstrated a large spectrum of potential therapeutic bioactivities, including antioxidant, antibacterial, anti-inflammatory, neuroprotective, immunomodulatory, anticancer, and antiviral properties. As an antiviral agent, propolis and various constituents have shown promising preclinical efficacy against adenoviruses, influenza viruses, respiratory tract viruses, herpes simplex virus type 1 (HSV-1) and type 2 (HSV-2), human immunodeficiency virus (HIV), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Over 300 chemical components have been identified in propolis, including terpenes, flavonoids, and phenolic acids, with the specific constituent profile varying widely according to geographic origin and regional flora. Propolis and its constituents have demonstrated potential efficacy against SARS-CoV-2 by modulating multiple pathogenic and antiviral pathways. Molecular docking studies have demonstrated high binding affinities of propolis derivatives to multiple SARS-CoV-2 proteins, including 3C-like protease (3CL(pro)), papain-like protease (PLpro), RNA-dependent RNA polymerase (RdRp), the receptor-binding domain (RBD) of the spike protein (S-protein), and helicase (NSP13), as well as to the viral target angiotensin-converting enzyme 2 (ACE2). Among these compounds, retusapurpurin A has shown high affinity to 3CL(pro) (Delta G = -9.4 kcal/mol), RdRp (-7.5), RBD (-7.2), NSP13 (-9.4), and ACE2 (-10.4) and potent inhibition of viral entry by forming hydrogen bonds with amino acid residues within viral and human target proteins. In addition, propolis-derived baccharin demonstrated even higher binding affinity towards PLpro (-8.2 kcal/mol). Measures of drug-likeness parameters, including metabolism, distribution, absorption, excretion, and toxicity (ADMET) characteristics, also support the potential of propolis as an effective agent to combat COVID-19.
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