Food Control最新文献

{"title":"On-site and visual detection of ciprofloxacin in meat samples using a smartphone-assisted ratio fluorescence probe","authors":"Zheng Cheng ,&nbsp;Yaxiang Zhu ,&nbsp;Xiaobo Yang ,&nbsp;Xinfang Liu ,&nbsp;Xiaoyu Zhang ,&nbsp;Xun Feng ,&nbsp;Lijuan Zhou","doi":"10.1016/j.foodcont.2025.111222","DOIUrl":"10.1016/j.foodcont.2025.111222","url":null,"abstract":"<div><div>Detection of antibiotic residues is essential for public health. A lanthanide bimetallic organic framework (Eu_0.1Tb_0.9-DBT) was applied as ratio fluorescence probe for the visual and on-site detection of ciprofloxacin. The fluorescence color of the probe suspension was changed from red to green during the detection process. The detection method exhibits rapid response time (1 min), wide linear range (0.09–120 μM), and low detection limit (90 nM). Additionally, the Eu_0.1Tb_0.9-DBT-based test strip platform enables the on-site detection of ciprofloxacin with the aid of a smartphone color recognition app. The practicality of this platform is further validated through the analysis of ciprofloxacin in meat samples (beef, chicken, pork), achieving high recovery rates (94.01%–105.17%) and low standard deviations. Furthermore, a hierarchical clustering algorithm was designed, simplifying the detection process and enhancing its practical applicability. This research provides a promising strategy for the visual and on-site detection of antibiotic residue.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"174 ","pages":"Article 111222"},"PeriodicalIF":5.6,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of machine learning and deep learning models for detecting quality components of vine tea using smartphone-based portable near-infrared device","authors":"Yaqi Hu ,&nbsp;Wei Sheng ,&nbsp;Selorm Yao-Say Solomon Adade ,&nbsp;Jun Wang ,&nbsp;Huanhuan Li ,&nbsp;Quansheng Chen","doi":"10.1016/j.foodcont.2025.111244","DOIUrl":"10.1016/j.foodcont.2025.111244","url":null,"abstract":"<div><div>Tea polyphenols (TPs) and dihydromyricetin (DMY) are critical quality attributes of vine tea. This study developed a smartphone-based portable near infrared (NIR) device integrated with machine learning (ML) and deep learning (DL) approaches for rapid prediction of TPs and DMY in vine tea. NIR spectra of the vine tea samples were acquired using the developed portable device and smartphone software, while the contents of TPs and DMY were determined using UV–Vis spectrophotometer and high-performance liquid chromatography (HPLC). To accurately analyze the spectral data, various ML and DL models were evaluated and compared. Results indicate that DL models, including convolutional neural networks (CNN), long-short-term memory (LSTM) and CNN-LSTM, demonstrated superior predictive performance compared to traditional ML approaches in large sample environments. Thereinto, CNN-LSTM exhibited the optimal predictive performance for TPs (Rp = 0.9816; RPD = 5.24) and DMY (Rp = 0.9900; RPD = 7.11). Additionally, the optimal model 's validation performance are commendable, with a maximum coefficient of determination (0.9483 for TPs and 0.9625 for DMY). This demonstrates that the developed intelligent portable NIR instrument coupled with DL tools enables rapid on-site detection of vine tea quality components. Furthermore, it provides a potential strategy for real-time quality monitoring during vine tea online processing.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"174 ","pages":"Article 111244"},"PeriodicalIF":5.6,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioautographic method for detecting natural preservatives against Mycobacterium in edible essential oils","authors":"Ivana Ayelen Ramallo ,&nbsp;Gabriela Gago ,&nbsp;Hugo Gramajo ,&nbsp;Ricardo Luis Eugenio Furlan","doi":"10.1016/j.foodcont.2025.111224","DOIUrl":"10.1016/j.foodcont.2025.111224","url":null,"abstract":"<div><div>The interest in essential oils and their use in antimicrobial food preservation has increased in recent years, driven by a growing consumer preference for natural alternatives over synthetic preservatives. Since essential oils are compound mixtures, their study can benefit from effective, simple, and low-cost tools that enable the linking of an observed biological effect with their actual bioactive constituents. In this study, thin-layer chromatography was coupled with an agar-overlay <em>Mycobacterium</em> assay to detect antimycobacterial compounds in essential oils. The optimization of key parameters, including the culture optical density, addition of tyloxapol, incubation time, and final gel volume on the chromatographic plate was carried out through factorial analysis. The results demonstrated acceptable linearity within a range of 0.3–5.0 μg for isoniazid, with a coefficient of determination (r²) = 0.96 and a limit of detection equal to 0.20 μg. A set of 36 essential oils was studied with the developed bioautography. Two active essential oils, <em>Origanum vulgare</em> L. and <em>Allium sativum</em> L., were selected for further analysis by gas chromatography coupled to mass analysis (BioMSId strategy) identifying the compounds responsible for the observed inhibition. The 1,2-diallyl disulfide and 5-isopropyl-2-methylphenol were identified in <em>A. sativum</em> and <em>O. vulgare</em> respectively. The current assay can be applied to the study of mixtures with varying levels of complexity, facilitating dereplication.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"174 ","pages":"Article 111224"},"PeriodicalIF":5.6,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143519349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Abiotic pollutant concentrations in fish: A comparative review of wild-caught and aquaculture sources","authors":"I. Casanova-Martínez ,&nbsp;E. Hernández-López ,&nbsp;A.J. Signes-Pastor ,&nbsp;E. Sendra ,&nbsp;Á.A. Carbonell-Barrachina ,&nbsp;M. Cano-Lamadrid","doi":"10.1016/j.foodcont.2025.111220","DOIUrl":"10.1016/j.foodcont.2025.111220","url":null,"abstract":"<div><h3>Background</h3><div>The levels of contaminants and nutrients in fish from aquaculture and wild-caught sources are a timely and relevant issue for food safety. Contaminants such as heavy metals and metaloids, PCBs, DDT, and PAHs pose toxic risks due to bioaccumulation, while nutrient levels like Se, Zn, and Fe vary depending on diet and habitat.</div></div><div><h3>Objective</h3><div>This review synthesizes studies evaluating the levels of abiotic contaminants and nutrients in aquaculture and wild-caught fish, in order to compare them.</div></div><div><h3>Scope and approach</h3><div>In this scoping review, all the published literature on the comparison of heavy metals and metaloids, other contaminants and nutrients in aquaculture fish and wild fish was analysed. The search was conducted in different databases, and 31 studies were selected that met the eligibility criteria.</div></div><div><h3>Key findings and conclusions</h3><div>The review provides an overview of the comparison between aquaculture and wild fish in terms of heavy metals and metaloids, other contaminants, and nutrients, due to the difference in their environmental conditions, feed and origin. Higher concentrations of some heavy metals and metaloids were observed in wild fish than in aquaculture as well as in other contaminants. The mean Hg and As concentration in wild fish was 0.06 and 3.26 μg/g, respectively; while in aquaculture fish was 0.038 and 1.23 μg/g. The DDT mean concentration in wild fish of 196.48 ng/g, while in aquaculture fish was 44.64 ng/g. The difference in these concentrations does not only depend on the production system, other factors such as age, physiological state or the degree of environmental pollution can have a considerable effect.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"174 ","pages":"Article 111220"},"PeriodicalIF":5.6,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of processing conditions and exposure assessment of 5-Hydroxymethylfurfural in caramel colors","authors":"Amelie Sina Wilde ,&nbsp;Mikael Pedersen,&nbsp;Mads Hansen ,&nbsp;Nadia Klüver Tronier Mikkelsen ,&nbsp;Bina Bhattarai,&nbsp;Arvid Fromberg,&nbsp;Lene Duedahl-Olesen","doi":"10.1016/j.foodcont.2025.111239","DOIUrl":"10.1016/j.foodcont.2025.111239","url":null,"abstract":"<div><div>Caramel colors are an important class of colors used in the food production industry, especially within beverages, in the baking industry and confectionery industry. During the production of caramel colors unwanted contaminants can be formed including 5-(Hydroxymethyl)furfural (5-HMF), 2-acetyl-4(5)-tetrahydroxybutylimidazole (THI), and the isomers 4-methylimidazole (4-MI) and 2-methylimidazole (2-MI), however limited information exists on the relationship between the production parameters and these contaminants directly using industrial production recipes and parameters in a reactor scale production. Here, we present an optimized UPLC-MS/MS methods for determination of 5-HMF, 4-MI, THI, and 2-MI in caramel colors (E150a, c, and d) and we use the methods for the determination of these compounds in samples taken throughout the production of the caramel colors. The results revealed that a high color intensity correlates with a low contamination content of 5-HMF in the caramel color E150a and an exponential decrease in the caramel color E150d. Therefore, the color intensity can be used as an indicator for the contamination level in caramel color. Using the 5-HMF results for an exposure evaluation suggests for the caramel colors with high concentrations that there could be a risk for the consumer, however, could be reduced if optimized manufacturing process would be implemented in the industry. The main food categories contributing to 5-HMF exposure are non-alcoholic beverages, alcoholic beverages, confectionary products, savory sauces and baked products that typically contain caramel color. These insights can inform production practices and regulatory approaches to enhance the safety and quality of caramel colors.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"174 ","pages":"Article 111239"},"PeriodicalIF":5.6,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143456007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Portable system for cocoa bean quality assessment using multi-output learning and augmentation","authors":"Kamini G. Panchbhai ,&nbsp;Madhusudan G. Lanjewar","doi":"10.1016/j.foodcont.2025.111234","DOIUrl":"10.1016/j.foodcont.2025.111234","url":null,"abstract":"<div><div>Cocoa is an essential raw commodity in worldwide trade and requires extreme quality measurement. Precise measurement of cocoa bean ingredients, notably moisture content (MC) and fat content (FC), is essential for quality control. This paper describes a combined system that reliably uses spectroscopy, spectrum preprocessing, data augmentation, dimension reduction, wavelength selection, and advanced machine learning (ML) models to forecast these critical characteristics. The multi-output ML technique was used for MC and FC prediction. Furthermore, spectral augmentation and wavelength selection strategies were used to improve the effectiveness. The proposed method obtained a coefficient of determination (R²) = 0.992, root mean square error (RMSE) = 0.072, and a ratio of performance to deviation (RPD) = 10.620 for MC prediction, while R² = 0.984, RMSE = 0.093, and RPD = 7.919 for FC prediction. Classification analysis was also performed, and the proposed method obtained an accuracy of 96.0% for MC prediction and 90.0% for FC prediction. Moreover, statistical analysis found a t-statistic of 44.445 and a p-value of 0.001. These findings demonstrate the usefulness of this non-destructive technique, which provides a dependable, efficient, and practical option for detecting the quality of cocoa beans and has tremendous potential for use in quality control operations within the cocoa trade.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"174 ","pages":"Article 111234"},"PeriodicalIF":5.6,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and characterization of carrageenan-based antibacterial films incorporated with natural melanin pigment from niger seed hulls (Guizotia abyssinica) and their efficacy to enhance the shelf-life of strawberries","authors":"B.T. Sunil Kumar ,&nbsp;Jeevan Prasad Reddy ,&nbsp;V. Vanajakshi ,&nbsp;Akshay H. Dasalkar ,&nbsp;Sudheer Kumar Yannam ,&nbsp;Umesh H. Hebbar ,&nbsp;Sridevi Annapurna Singh","doi":"10.1016/j.foodcont.2025.111235","DOIUrl":"10.1016/j.foodcont.2025.111235","url":null,"abstract":"<div><div>Enhancing the safety and quality of minimally processed foods is a top priority for consumers and the food industry. There is an urgent need for eco-friendly and sustainable packaging films to protect fresh food products. In this study, we attempted to develop carrageenan-based films incorporated with melanin extract with enhanced physicochemical properties, antibacterial activity, and effectiveness in maintaining the quality of strawberries during storage. The carrageenan-melanin films were produced using a solution casting method, incorporating melanin extracted from niger seed hulls as a bioactive additive. The impact of melanin content on the structural, thermal, water barrier, antioxidant, and antimicrobial properties of the carrageenan-based films was assessed. FTIR analysis validated the successful integration of melanin into the carrageenan matrix. The antibacterial activity of the carrageenan-melanin (30 mg) films was tested against common foodborne pathogens, showing effectiveness against <em>Salmonella enterica</em> (60 mm), <em>Staphylococcus aureus</em> (40 mm), <em>Micrococcus luteus</em> (36.67 mm), <em>Klebsiella oxytoca</em> (40 mm), <em>Escherichia coli</em> (42 mm), and <em>Bacillus cereus</em> (31 mm), outperforming the chloramphenicol control. The carrageenan-melanin film (30 mg) significantly restricted bacterial counts and effectively extended the shelf life of strawberries stored at room temperature (25 °C ± 2) for five days and maintained lower heterotrophic bacterial count subsequently. Precise analysis of volatile organic compounds with a sophisticated electronic nose (E-nose) system, revealed the freshness profile of strawberries during storage. Overall, the carrageenan-melanin film shows great promise as a sustainable packaging material with enhanced antibacterial properties for preserving strawberries, representing an innovative solution for sustainable food packaging.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"174 ","pages":"Article 111235"},"PeriodicalIF":5.6,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Post-harvest grain storage: Methods, factors, and eco-friendly solutions","authors":"Pagidi Madhukar ,&nbsp;Lalit M. Pandey ,&nbsp;Uday S. Dixit","doi":"10.1016/j.foodcont.2025.111236","DOIUrl":"10.1016/j.foodcont.2025.111236","url":null,"abstract":"<div><div>Agriculture contributes about 17˗18 % of India's gross domestic product (GDP). However, infestations (pests including insects and rodents), microbial infections, and mycotoxin formation during the storage process result in a loss of about 10 % of total food grain production in India. This article explains various grain storage techniques, structures (short and long-term storage), traditional methods, and modern techniques' role in developing nations. Different grain storage issues, storage conditions, and physical, biological, and socio-economic factors have been explained. The toxic aflatoxins (AFs), which develop during grain storage and cause various health issues in livestock, are discussed. Advanced storage technologies for real-time monitoring of environmental parameters are summarized. The impact of chemical pesticide usage and the benefits of natural bio-pesticides in grain storage are presented. Natural plant species against major and minor insect pests are highlighted. A decision-making problem is implemented using the analytic hierarchy process (AHP) technique from the available plants in order to identify and use them for effective grain storage. This article provides insights to explore natural resources in the integration of technological interventions i.e. nanotechnology for the sustainable storage of grains. Ultimately, this is expected to enhance food security and human health.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"174 ","pages":"Article 111236"},"PeriodicalIF":5.6,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of epsilon-poly-L-lysine treatment on swelling, microbial growth and physicochemical quality of vacuum-packed lotus root","authors":"Qianlong Shi ,&nbsp;Yixuan Wang ,&nbsp;Cong Han ,&nbsp;Xingfeng Guo ,&nbsp;Maorun Fu ,&nbsp;Subo Tian ,&nbsp;Xiaofei Xin","doi":"10.1016/j.foodcont.2025.111238","DOIUrl":"10.1016/j.foodcont.2025.111238","url":null,"abstract":"<div><div>Vacuum-packed lotus roots are prone to swelling and quality deterioration when stored at temperatures above 15 °C. Our study aimed to investigate the impacts of ε-poly-L-lysine (ε-PL) application (0.35 and 0.7 g/L) on swelling, microbial proliferation and quality characteristics of vacuum-packed lotus roots stored at 25 °C for 15 d. Through 16S rDNA amplicon sequencing, the primary bacterial genera responsible for bag swelling were identified as <em>Enterobacter</em>, <em>Klebsiella</em>, and <em>Pantoea</em>. The treatment with 0.7 g/L ε-PL exhibited the strongest inhibitory effect on these genera, effectively preventing swelling. Additionally, ε-PL treatment inhibited browning, suppressed the increase in total acid content, and maintained the levels of soluble sugars, total phenolics, and ascorbic acid. ε-PL assisted in retaining the flavor profile of lotus roots. These findings suggested that ε-PL was effective in preventing swelling, inhibiting microbial growth, and maintaining storage quality in vacuum-packed lotus roots.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"173 ","pages":"Article 111238"},"PeriodicalIF":5.6,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting cadmium accumulation in carrot (Daucus carota L.) using reflectance spectroscopy and machine learning","authors":"Ninon Maugeais,&nbsp;Guillaume Lassalle","doi":"10.1016/j.foodcont.2025.111226","DOIUrl":"10.1016/j.foodcont.2025.111226","url":null,"abstract":"<div><div>Agricultural commodities such as root vegetables are subject to strict regulations regarding Trace Metal Elements (TME) for food safety reasons. Assessing the compliance of these commodities with authorized limits is usually achieved through costly and time-demanding traditional analytical techniques. As an alternative, we propose a new, rapid-and-scalable approach based on reflectance spectroscopy to assess TME content in root vegetables. The latter relies on exploiting the reflectance spectra of root samples to predict either the absolute concentration of TMEs or their compliance with a certain threshold using machine learning regression and classification. Our approach was successfully applied to predicting cadmium accumulation in the roots of two carrot varieties under controlled conditions, achieving up to 95% accuracy by exploiting the reflectance of root cross-sections (<em>R</em>² = 0.95 and F1-score ≥0.96 in regression and classification, respectively). We also explored non-destructive models using either carrot leaves or unpeeled roots, which achieved moderate to high accuracy for the prediction of root cadmium, respectively (0.48 &lt; <em>R</em>² &lt; 0.87 and 64 &lt; F1-score &lt;90). Our models showed consistent accuracy against varying cadmium limits and allowed identifying wavelengths in the visible and short-wave infrared regions of the spectrum as main contributors of predictions. Our study thus opens encouraging perspectives to assess TME compliance in agricultural commodities, from the field to harvest.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"173 ","pages":"Article 111226"},"PeriodicalIF":5.6,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}