| 1. |
- Almqvist, Viktor, et al.
(författare)
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Reliability of remote post-mortem veterinary meat inspections in pigs using augmented-reality live-stream video software
- 2021
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Ingår i: Food Control. - : Elsevier BV. - 0956-7135 .- 1873-7129. ; 125
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Tidskriftsartikel (refereegranskat)abstract
- Official meat inspections at remotely situated, small-scale slaughter houses and game handlings establishments fare associated with a relatively high cost of official control per inspected animal. By performing veterinary meat inspections via live-streamed video, this cost could be lowered. We aimed to evaluate how veterinary meat inspections at slaughter can be conducted remotely with the help of a camera-equipped non-veterinary technician on site. Specialized software and augmented reality technology were used. The remote inspection was compared to standard on-site veterinary meat inspection at a large-scale slaughter plant for pigs in Sweden during 2019. The remote and on-site inspectors recorded findings in 400 carcasses and organs arrested for further inspection. The comparison was based primarily on percentage agreement, Cohen?s kappa and prevalence- and bias-adjusted kappa (PABAK) as measures of agreement and reliability. The remote method was shown to display a high level of agreement for clear, easily distinguished findings (e.g. tail lesions, with an agreement of 92.3%, Cohen?s kappa of 0.77 and PABAK of 0.85). For more vague findings and subjective decisions, the performance was slightly lower (e.g. whether or not to condemn a carcass completely, with agreement 75.2%, Cohen?s kappa 0.32 and PABAK 0.50). Remote inspection appears to constitute a viable alternative for post-mortem meat inspection in pigs, given a sufficiently standardized method of inspection and sufficient inspection times. The performance of remote inspection probably depends on which persons use the method.
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| 2. |
- 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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| 3. |
- Basu, Santanu
(författare)
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Predictive microbial growth modelling for an effective shelf-life extension strategy of Chhana (Indian cottage cheese)
- 2023
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Ingår i: Food Control. - : Elsevier BV. - 0956-7135 .- 1873-7129. ; 149
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Tidskriftsartikel (refereegranskat)abstract
- This study aims towards understanding microbial growth dynamics in Chhana (Indian cottage cheese) using three different primary models (viz., Logistic, Gompertz, and Barayni) for development of secondary models and relating it with the intrinsic chemical compositional properties of the samples under different storage conditions. For this purpose, Chhana was prepared in a commercial setup and shelf-life studies were performed in isothermal conditions 8 degrees C (with/without im-mersion in whey), 20 degrees C, 37 degrees C and dynamic refrigerated (8 degrees C) condition with immersion in whey. Immersion in whey was effective for extending the shelf life of Chhana. Barayni model was found better than the other models (0.94 0.99). Despite high correlation values all three models presented their own limitations which was then successfully overcome by novel application of three phased linearized growth model. Differential secondary models were successfully developed, and goodness of fit was evaluated with RMSE (0.032-0.084), and prediction rates achieved as high as 96.2%. The developed methods of data analysis and methods of modelling wild microbial population presented in this research would be beneficial in developing valuable insights for estimation/prediction of product shelf-life in a real-life industrial situation.
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| 4. |
- Ekner, Holly, et al.
(författare)
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Determination of polycyclic aromatic hydrocarbons in commercial olive oils by HPLC/GC/MS – Occurrence, composition and sources
- 2022
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Ingår i: Food Control. - : Elsevier BV. - 0956-7135 .- 1873-7129. ; 132
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Tidskriftsartikel (refereegranskat)abstract
- Polycyclic aromatic hydrocarbons (PAHs) are a large class of organic compounds produced from incomplete combustion. Many PAHs are mutagenic and some are carcinogenic and pose a health risk to humans. Dietary intake of PAHs is a major route of exposure, where fats and edible oils are important contributors to overall dietary PAH exposure. Composed of hundreds of individual compounds as a complex mixture, only 16 PAHs are typically monitored in food and the environment.In this present study we analyzed 16 commercial olive oil samples from different countries of origin and type (virgin or refined oil) for their content of 45 PAHs using a high-performance liquid chromatograph coupled to a gas chromatograph with a mass spectrometric detector. The content of the 45 PAHs varied between 9.17–94.7 μg/kg (median: 30.1 μg/kg) in the different olive oil samples. Only one sample didn't meet the regulatory threshold levels for PAHs.The compositional profile of PAHs across the olive oil samples showed a high abundance of PAHs of lower molecular weights, and a large contribution of alkylated PAHs regardless of olive oil type. Direct contact with diesel exhaust emissions from mechanical harvesters has previously shown to affect PAH levels in olive oils. Using diagnostic PAH ratios, biomass/coal combustion and/or petroleum/fossil fuel combustion were indicated as important sources. Source apportionment by positive matrix factorization revealed diesel exhaust emission and biomass combustion as the two major sources of PAHs followed by traffic emissions. This suggests that air quality may have a considerable impact on pollution levels in olive oils and thus indirectly affect dietary exposure.
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| 5. |
- Eriksson, Daniel, et al.
(författare)
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Survival of Campylobacter jejuni in frozen chicken meat and risks associated with handling contaminated chicken in the kitchen
- 2023
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Ingår i: Food Control. - : Elsevier BV. - 0956-7135 .- 1873-7129. ; 145
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Tidskriftsartikel (refereegranskat)abstract
- Most Campylobacter infections in humans are sporadic cases, often connected to private households. Chicken meat is believed to be the main source of human exposure to Campylobacter and there are significant risks of cross-contamination when handling Campylobacter-contaminated chicken in the kitchen. One post-harvest pre-ventive measure to reduce Campylobacter concentrations on chicken meat is freezing. This study examined survival of different sequence types of C. jejuni during freezing and risk factors during handling of C. jejuni-contaminated chicken meat in the kitchen. Chicken fillets were artificially contaminated before freezing with two different sequence types of C. jejuni (ST-257 and ST-918), at concentrations in the meat of 4.1 log10 CFU/g (low) and 5.3 log10 CFU/g (high). Risk factors in the kitchen were assessed by swabbing gloves before and after washing, to simulate hands before and after washing. Utensils such as scissors and forceps used for cutting were also sampled, while a cutting board was sampled twice to simulate before and after wiping.The greatest decrease in Campylobacter concentrations in the freezer occurred in the first four days and the decrease then flattened off. After 49 days in the freezer, concentrations on meat contaminated with high and low levels of ST-257 decreased by 2.0 log10 CFU/g and 1.5 log10 CFU/g, respectively, while concentrations on chicken meat contaminated with a high and low level of ST-918 decreased by 1.0 log10 CFU/g and 0.7 log10 CFU/ g, respectively. Campylobacter was isolated from all simulated environmental samples. The highest load in the environment of both sequence types was unwashed gloves and the first sampling of the unwiped cutting board. Transfer from gloves and the cutting board was lower after washing/wiping, but high concentrations (>= 2 log10 CFU/mL rinse fluid) of Campylobacter persisted for all samples contaminated with ST-918 and for 18 of 20 samples contaminated with ST-257.In conclusion, there are differences between Campylobacter sequence types in their ability to withstand freezing stress and Campylobacter remaining on hands after washing and on cutting boards after wiping is a likely source of cross-contamination in the kitchen.
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| 6. |
- Fourie, Elzanne, et al.
(författare)
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Partial least squares calibrations and batch statistical process control to monitor phenolic extraction in red wine fermentations under different maceration conditions
- 2020
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Ingår i: Food Control. - : Elsevier. - 0956-7135 .- 1873-7129. ; 115
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Tidskriftsartikel (refereegranskat)abstract
- The extraction of phenolic compounds during maceration is of utmost importance in red winemaking. However, the monitoring of phenolic extraction is often hampered by analytical and statistical constraints. The aim of this study was to monitor phenolic extraction kinetics with the use of PLS phenolic calibrations and batch statistical process control. Eight batches of Cabernet Sauvignon and Shiraz grapes during alcoholic fermentation under different maceration conditions (pressing at 1/3rd, 2/3rd and end of fermentation) and punch down regimes (low vs. high frequency) were evaluated in the study. Cabernet Sauvignon appeared to be a more suitable cultivar for longer maceration conditions with increased tannin extraction observed. Similar trends were observed for punch down for both cultivars. The use of PLS calibrations and batch level modelling provided an enhanced interpretation and understanding of phenolic extraction during red wine fermentations.
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| 7. |
- 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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| 8. |
- Ha, Thi Thanh Mai
(författare)
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Consumers' raw poultry washing practices: A cross-sectional and observational study in eight Southeast Asian countries
- 2024
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Ingår i: Food Control. - 0956-7135 .- 1873-7129. ; 158
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Tidskriftsartikel (refereegranskat)abstract
- Consumers are recommended not to wash raw poultry before cooking since this practice increases risks of cross contamination with foodborne pathogens. However previous studies had identified that consumers were unaware of this incorrect behaviour. This study aims to assess consumers' self-reported and observed raw poultry washing practices in Southeast Asian (SEA) countries. A mixed method design was employed, with data collected via a cross-sectional survey across eight SEA countries, observational studies and semi-structured interviews conducted in Indonesia and Malaysia. Ninety-six percent (n = 2009) of surveyed participants reported that they washed raw poultry at home. Participants from Laos and Philippines, older, married and low-income participants reported washing raw poultry more frequently. The main reasons for washing raw poultry were to remove dirt, slime, blood or feathers and the act of washing makes them feel safer. Participants from Cambodia (OR = 2.855, p < 0.001), Indonesia (OR = 3.208, p < 0.001), Laos (OR = 3.012, p < 0.05), Malaysia (OR = 2.003, p < 0.05) and Thailand (OR = 2.148, p < 0.001) were 2.00-3.21 times more confident about not washing raw poultry upon understanding the rationale that washing does not reduce microbial load. Participants who purchased from supermarkets (OR = 1.785, p < 0.05) were significantly more confident about not washing raw poultry compared to other sources of raw poultry. Our observation study identified various cross contamination pathways including lack of hand hygiene practices, inadequate cleaning and sanitation procedures, and cross contamination of raw poultry and washed water to surrounding areas. Semi-structured interviews revealed that participants preferred to wash raw poultry due to the lack of cleanliness of raw poultry purchased from traditional markets and the act is ingrained in their cultural practice. Due to consumers' preference for freshly slaughtered poultry and perceived cleanliness of raw poultry purchased from traditional markets, hand hygiene practices during and after handling raw poultry and cleaning of kitchen sinks and surrounding areas with soap should be emphasised. Targeted food safety messages and educational campaigns suited to local cultural differences should be conducted. This study presents the first empirical findings on consumers' raw poultry washing practices in eight SEA countries. Practical implications and further recommendations are provided.
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| 9. |
- Hadjigeorgiou, E., et al.
(författare)
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A systematic review into expert knowledge elicitation methods for emerging food and feed risk identification
- 2022
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Ingår i: Food Control. - : Elsevier BV. - 0956-7135 .- 1873-7129. ; 136, s. 108848-
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Forskningsöversikt (refereegranskat)abstract
- An emerging risk results "... from a newly identified hazard to which a significant exposure may occur, or from an unexpected new or increased significant exposure and/or susceptibility to a known hazard". In the field of emerging food and feed risks, expert knowledge elicitation methodologies represent important tools for identifying and addressing data gaps associated with emerging risk identification, particularly under conditions of risk uncertainty and/or ambiguity. A systematic review was conducted to identify expert knowledge elicitation methods which have been used in the context of emerging food and feed risks. The primary research questions were which existing expert knowledge elicitation methodologies have been used to study emerging food and feed risks? and what contexts or situations have been studied using expert knowledge elicitation methodologies in relation to emerging food and feed-related risks? Three databases were searched: Web of Science Core Collection, Scopus, and Google Scholar. Searches covered all studies published from 1998 onwards. A total of 59 studies were included in the review following the application of the inclusion and exclusion criteria. Given the heterogeneity of the included studies, a thematic analysis was applied to assess these papers in relation to the research questions. There was no one expert knowledge elicitation method consistently adopted for the identification of a specific type of emerging food and feed risk. Method triangulation was observed in 23 studies and was reported to improve the validity of results in 15 of these. Most published research considered emerging risks associated with societal controversy ("ambiguous risks"). Although the use of methodological triangulation appears to be helpful in relation to understanding emerging food and feed risks, future research into the development of a harmonised framework will enable the identification, processing, and evaluation of emerging food risks in a systemic way which can facilitate comparative analysis and harmonise mitigation strategies to address emerging risks and their drivers.
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| 10. |
- Hakelius, Karin
(författare)
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Blockchain technology characteristics essential for the agri-food sector: A systematic review
- 2024
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Ingår i: Food Control. - 0956-7135 .- 1873-7129. ; 165
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Forskningsöversikt (refereegranskat)abstract
- Blockchain is seen as a disruptive fundamental technology that will transform agri-food sectors in the near future. Blockchain is a digital, immutable, decentralized ledger of transactions that is replicated and distributed throughout the chain of computer systems on the blockchain's network. This systematic review examines the literature to identify the enabling characteristics of blockchain technology that support its application in the agrifood sectors. The literature reviewed indicated essential characteristics such as transparency, immutability, redundancy, versatility, automation, and remittance. Among these features, immutability and automation have a salient role in the current implementation, particularly in food traceability. However, the application of blockchain in the agri-food sector is not without controversies. More research is needed regarding technical improvement and its environmental impact.
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