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Träfflista för sökning "WFRF:(Guo Zhiming) srt2:(2020)"

Sökning: WFRF:(Guo Zhiming) > (2020)

  • Resultat 1-8 av 8
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1.
  • Guo, Zhiming, et al. (författare)
  • Chemometrics coupled 4-Aminothiophenol labelled Ag-Au alloy SERS off-signal nanosensor for quantitative detection of mercury in black tea
  • 2020
  • Ingår i: Spectrochimica Acta Part A - Molecular and Biomolecular Spectroscopy. - : Elsevier BV. - 1386-1425 .- 1873-3557. ; 242
  • 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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2.
  • Guo, Zhiming, et al. (författare)
  • Classification for Penicillium expansum Spoilage and Defect in Apples by Electronic Nose Combined with Chemometrics
  • 2020
  • Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 20:7
  • 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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3.
  • El-Seedi, Hesham, et al. (författare)
  • Antimicrobial Properties of Apis mellifera's Bee Venom
  • 2020
  • Ingår i: Toxins. - : MDPI AG. - 2072-6651. ; 12:7
  • 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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4.
  • El-Seedi, Hesham R., et al. (författare)
  • Honeybee products : An updated review of neurological actions
  • 2020
  • Ingår i: Trends in Food Science & Technology. - : Elsevier BV. - 0924-2244 .- 1879-3053. ; 101, s. 17-27
  • Forskningsöversikt (refereegranskat)abstract
    • Background: According to the World Health Organization, two billion people will attain the age of 60 years or more by 2050. Ageing is a major risk factor for a number of neurodegenerative disorders, which currently possess challenge to the global health status, carrying economic and social consequences. Therefore, attention has been dedicated towards the development of neuroprotective agents derived from natural sources. Honeybee products, such as honey, bee pollen, bee bread, propolis, royal jelly, beeswax, and bee venom have been used for therapeutic purposes since ancient times in Egypt, Greece, and China. Despite the emergence of modern medicine, bee products remain clinically relevant owing to their potential as anti-inflammatory, anti-oxidant, and neuroprotective agents.Scope and approach: This review demonstrates the potential of bee products against neurological disorders in the light of the current literature.Key findings and conclusions: Bee products and individual isolated components have enormous therapeutic potential for multiple neurological disorders. The different studies show overall neuroprotective and nerve-tonic characteristics of bee products, mainly due to their anti-oxidant, anti-inflammatory and anti-apoptotic features. However, some limitations such as allergic reactions and the cytotoxic effect of some bee products warrant a special care in its development as drug leads in future studies.
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5.
  • Guo, Zhiming, et al. (författare)
  • Nondestructive monitoring storage quality of apples at different temperatures by near-infrared transmittance spectroscopy
  • 2020
  • Ingår i: Food Science & Nutrition. - : WILEY. - 2048-7177. ; 8:7, s. 3793-3805
  • 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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6.
  • Guo, Zhiming, et al. (författare)
  • Quantitative detection of apple watercore and soluble solids content by near infrared transmittance spectroscopy
  • 2020
  • Ingår i: Journal of Food Engineering. - : ELSEVIER SCI LTD. - 0260-8774 .- 1873-5770. ; 279
  • 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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7.
  • Guo, Zhiming, et al. (författare)
  • Simultaneous quantification of active constituents and antioxidant capability of green tea using NIR spectroscopy coupled with swarm intelligence algorithm
  • 2020
  • Ingår i: Lebensmittel-Wissenschaft + Technologie. - : ELSEVIER. - 0023-6438 .- 1096-1127. ; 129
  • 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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8.
  • Khalifa, Shaden A. M., et al. (författare)
  • Comprehensive Overview on Multiple Strategies Fighting COVID-19
  • 2020
  • Ingår i: International Journal of Environmental Research and Public Health. - : MDPI AG. - 1661-7827 .- 1660-4601. ; 17:16
  • Forskningsöversikt (refereegranskat)abstract
    • Lately, myriad of novel viruses have emerged causing epidemics such as SARS, MERS, and SARS-CoV-2, leading to high mortality rates worldwide. Thus, these viruses represented a challenging threat to mankind, especially considering the miniscule data available at our disposal regarding these novel viruses. The entire world established coordinative relations in research projects regarding drug and vaccine development on the external range, whereas on the internal range, all countries declared it an emergency case through imposing different restrictions related to their border control, large gatherings, school attendance, and most social activities. Pandemic combating plans prioritized all sectors including normal people, medical staff politicians, and scientists collectively shouldered the burden. Through planning and learning the previous lessons from SARS and MERS, healthcare systems could succeed in combating the viral spread and implications of these new pandemics. Different management strategies including social distance, social awareness and isolation represented successful ways to slow down the spread of the pandemic. Furthermore, pre-preparedness of some countries for emergencies is crucial to minimize the consequences of the crisis.
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  • Resultat 1-8 av 8

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