Food Control最新文献_第8页

Climate-sensitive biological and chemical preharvest food safety hazards in Canadian agriculture: A scoping review

IF 5.6 1区农林科学

Food Control Pub Date : 2025-02-14 DOI: 10.1016/j.foodcont.2025.111225

Brenda Zai , Shefali Panicker , Victoria Ng , Andrew Papadopoulos , Ian Young , Lauren E. Grant

{"title":"Climate-sensitive biological and chemical preharvest food safety hazards in Canadian agriculture: A scoping review","authors":"Brenda Zai , Shefali Panicker , Victoria Ng , Andrew Papadopoulos , Ian Young , Lauren E. Grant","doi":"10.1016/j.foodcont.2025.111225","DOIUrl":"10.1016/j.foodcont.2025.111225","url":null,"abstract":"<div><div>Climate change poses risks to food safety at the preharvest level. Synthesized high-quality evidence on the impacts of meteorological variables —temperature, precipitation, humidity, and extreme weather—on food contamination is essential for informing food safety policy and interventions. This scoping review aimed to synthesize peer-reviewed and grey literature on these effects and identify knowledge gaps. Using a registered <em>a priori</em> protocol, searches were conducted in MEDLINE via Ovid, Web of Science, AGRICOLA, and CAB International and grey literature sources. Two independent reviewers conducted a two-phase screening process on retrieved literature to identify eligible studies that examined meteorological variable impacts on preharvest food contamination specifically in Canada, the United States, or Europe. A total of 45 studies were included, with data extracted and synthesized. This review identified the impacts of meteorological variables on food safety hazards in grains (16/45), livestock (12/45), produce (10/45), and irrigation water (8/45). In grains, changes in precipitation, temperature, and humidity were strongly interconnected and linked with increased mycotoxin contamination. Seasonal changes and higher temperatures elevated biological hazards among livestock. Produce contamination, notably in leafy green vegetables, increased with higher temperatures, precipitation, and flood events. Irrigation water sources demonstrated increased contamination following increased precipitation, primarily. These findings highlight the critical influence of meteorological variables on preharvest food safety, underscoring the need for targeted mitigation and adaptation strategies to safeguard food systems in the face of climate change.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"174 ","pages":"Article 111225"},"PeriodicalIF":5.6,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143478837","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}

引用次数: 0

Stepwise strategy based on untargeted metabolomic 1H NMR fingerprinting and pattern recognition for the geographical authentication of virgin olive oils

IF 5.6 1区农林科学

Food Control Pub Date : 2025-02-13 DOI: 10.1016/j.foodcont.2025.111216

Rosa María Alonso-Salces , Gabriela Elena Viacava , Alba Tres , Stefania Vichi , Enrico Valli , Alessandra Bendini , Tullia Gallina Toschi , Blanca Gallo , Luis Ángel Berrueta , Károly Héberger

{"title":"Stepwise strategy based on untargeted metabolomic 1H NMR fingerprinting and pattern recognition for the geographical authentication of virgin olive oils","authors":"Rosa María Alonso-Salces , Gabriela Elena Viacava , Alba Tres , Stefania Vichi , Enrico Valli , Alessandra Bendini , Tullia Gallina Toschi , Blanca Gallo , Luis Ángel Berrueta , Károly Héberger","doi":"10.1016/j.foodcont.2025.111216","DOIUrl":"10.1016/j.foodcont.2025.111216","url":null,"abstract":"<div><div><sup>1</sup>H NMR fingerprinting of virgin olive oils (VOOs) and a collection of binary classification models arranged in a decision tree are presented as a stepwise strategy to determine the geographical origin of a VOO at four levels, i.e. provenance from an EU member state or outside the EU, country and region of origin, and compliance with a geographical indication scheme. This approach supports current EU regulation that makes labelling of the geographical origin mandatory for olive oil. Currently, official methods for its control are still lacking. Partial least squares discriminant analysis (PLS-DA) and random forest for classification afforded robust and stable binary classification models to verify the geographical origin of VOOs; however, the former outperformed the latter in terms of accuracy and robustness. The prediction abilities of the best binary PLS-DA model for each case study were between 80% and 100% for both classes in cross-validation and in external validation. The satisfactory results achieved for the verification of the geographical origin of VOOs, together with those of our previous studies on the discrimination of olive oil categories, the detection of olive oils blended with vegetable oils (Alonso-Salces et al., 2022), and the determination of the stability, freshness, storage time and conditions, and olive oil best−before date (Alonso-Salces et al., 2021), confirm that a single <sup>1</sup>H NMR analysis of an olive oil sample can provide useful information to control several EU regulations related to olive oil marketing standards (Regulation (EU) 2022/2104 and Regulation (EU) 2024/1143).</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"173 ","pages":"Article 111216"},"PeriodicalIF":5.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419400","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}

引用次数: 0

Combining deep convolutional generative adversarial networks with visible-near infrared hyperspectral reflectance to improve prediction accuracy of anthocyanin content in rice seeds

IF 5.6 1区农林科学

Food Control Pub Date : 2025-02-13 DOI: 10.1016/j.foodcont.2025.111218

Xingsheng Bao , Deyao Huang , Biyun Yang , Jiayi Li , Atoba Tolulope Opeyemi , Renye Wu , Haiyong weng , Zuxin Cheng

{"title":"Combining deep convolutional generative adversarial networks with visible-near infrared hyperspectral reflectance to improve prediction accuracy of anthocyanin content in rice seeds","authors":"Xingsheng Bao , Deyao Huang , Biyun Yang , Jiayi Li , Atoba Tolulope Opeyemi , Renye Wu , Haiyong weng , Zuxin Cheng","doi":"10.1016/j.foodcont.2025.111218","DOIUrl":"10.1016/j.foodcont.2025.111218","url":null,"abstract":"<div><div>Anthocyanin is a crucial reference indicator for evaluating the quality of rice varieties, making it significant to rapidly establish a non-destructive detection method for anthocyanin in rice grains. This study constructs a 1D-DCGAN (One-dimensional deep convolutional generative adversarial network) strategy optimized for one dimensional spectral data and a 1D-CNN (One-dimensional convolutional neural network) model, achieving high-quality generated sample effects and more accurate anthocyanin predictions within a limited dataset. The <span>SG</span> (Savitzky-Golay)-1D-CNN significantly outperforms LSR (Least squares regression), SVM (Support vector machine) and BPNN (Backpropagation neural network) in the test set, with R<sup>2</sup> (Determination coefficient), RMSE (Root mean square error) and RPD (Residual predictive deviation) values of 0.83, 10.99, and 2.45, respectively. Furthermore, using DCGAN-generated samples to train the SG-1D-CNN by adding a certain number of generated samples can enhance the model's performance in the test set. When the number of added samples is 60 (75% of the original training set sample size), the SG-DCGAN-1D-CNN (Savitzky-Golay deep convolutional generative adversarial network one dimensional convolutional neural network) exhibits the best performance, with R<sup>2</sup>, RMSE, and RPD reaching 0.87, 9.40, and 2.88, respectively. The DCGAN-1D-CNN (Deep convolutional generative adversarial network one dimensional convolutional neural network) method based on this strategy is expected to provide new insights into precise prediction for multi-variety rice seeds.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"174 ","pages":"Article 111218"},"PeriodicalIF":5.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453197","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}

引用次数: 0

Thermal stability of deoxynivalenol, zearalenone, and their modified forms during baking in oat biscuits

IF 5.6 1区农林科学

Food Control Pub Date : 2025-02-13 DOI: 10.1016/j.foodcont.2025.111223

Irene Teixido-Orries, Francisco Molino, Ángel Aragonés-Millán, Antonio J. Ramos, Sonia Marín

{"title":"Thermal stability of deoxynivalenol, zearalenone, and their modified forms during baking in oat biscuits","authors":"Irene Teixido-Orries, Francisco Molino, Ángel Aragonés-Millán, Antonio J. Ramos, Sonia Marín","doi":"10.1016/j.foodcont.2025.111223","DOIUrl":"10.1016/j.foodcont.2025.111223","url":null,"abstract":"<div><div>The present study aimed to investigate the effects of the baking process on some <em>Fusarium</em> mycotoxins (deoxynivalenol (DON), zearalenone (ZEN), T-2 and HT-2 toxins) and their modified forms (deoxynivalenol-3-glucoside (DON-3G), 15-acetyldeoxynivalenol (15-ADON), 3-acetyldeoxynivalenol (3-ADON), deepoxy-deoxynivalenol (DOM-1), α-zearalenol (α-ZEL), and β-zearalenol (β-ZEL)) in oat biscuits. Their content was analysed using HPLC-DAD and UHPLC-MS/MS to evaluate the impact of temperature, time and initial mycotoxin concentration. Also, metabolite screening (sulphated ZEN metabolites, isoDON and norDONs) was performed to provide new insights into the baking effect on mycotoxins. Results indicated that mycotoxin reduction depended significantly on baking temperature and duration. ZEN exhibited higher thermostability than DON-3G, and DON-3G was more thermostable than DON. Under harsh conditions, 15-ADON decreased while DOM-1 increased. isoDON and norDONs emerged during baking. Initial baking phases showed increased levels of ZEN, α-zearalenol-14-S (α-ZEL-14-S) and β-zearalenol-14-S (β-ZEL-14-S) due to the release of hidden mycotoxins, raising safety concerns. T-2 and HT-2 toxins were not found in any oat-based product. The final edible biscuits for each temperature exhibited similar DON and DON-3G concentrations, with higher ZEN levels than initially. Degradation kinetic analysis revealed zero-order kinetics for DON and DON-3G and first-order kinetics for ZEN, offering a predictive tool for mycotoxin levels in biscuits.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"173 ","pages":"Article 111223"},"PeriodicalIF":5.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429628","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}

引用次数: 0

Direct visual detection for methicillin-resistant Staphylococcus aureus in milk based on the RPA-Cas12a-LFS method

IF 5.6 1区农林科学

Food Control Pub Date : 2025-02-13 DOI: 10.1016/j.foodcont.2025.111209

Yixiang Sun , Liren Zhang , Huimin Wu , Hongjun Chen , Huijie Hu , Chongyu Zhang , Xiaoqiang Li , Yuan Li , Yimai Wang , Liqiang Luo , Yizhi Song

{"title":"Direct visual detection for methicillin-resistant Staphylococcus aureus in milk based on the RPA-Cas12a-LFS method","authors":"Yixiang Sun , Liren Zhang , Huimin Wu , Hongjun Chen , Huijie Hu , Chongyu Zhang , Xiaoqiang Li , Yuan Li , Yimai Wang , Liqiang Luo , Yizhi Song","doi":"10.1016/j.foodcont.2025.111209","DOIUrl":"10.1016/j.foodcont.2025.111209","url":null,"abstract":"<div><div>Methicillin-resistant <em>Staphylococcus aureus</em> (MRSA) has emerged as a significant pathogen of global concern, presenting substantial public health risks through foodborne transmission and contributing to elevated morbidity and mortality rates worldwide. The critical need for precise and timely identification of MRSA in food matrices has become increasingly paramount for effective public health protection. While numerous CRISPR-based detection platforms for MRSA have been recently developed, their widespread implementation has been hindered by intricate multi-step protocols and dependency on sophisticated instrumentation. In this study, we developed a direct, accurate and visual detection method for MRSA — the RPA-Cas12a-LFS method. This method comprises two main components: (1) the direct one-pot RPA-Cas12a system, which integrates bacterial lysis, RPA nucleic acid amplification, and CRISPR-Cas12a nucleic acid detection into a single step performed simultaneously at a constant temperature, and (2) the streptavidin-gold nanoparticles (SA-AuNP)-based CRISPR-specific lateral flow strip (LFS). By eliminating the need for nucleic acid extraction, this method significantly simplifies the experimental procedure and reduces the risk of cross-contamination. Through systematic optimization, this method demonstrated exceptional performance, enabling direct and specific identification of MRSA at remarkably low concentrations (10 CFU/mL) within 60 min in various milk samples. This advanced detection method, characterized by its direct sample processing, exceptional accuracy, visual interpretability, cost-efficiency, and minimal equipment requirements, is particularly suitable for on-site and real-time monitoring of pathogenic bacteria in the food industry.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"173 ","pages":"Article 111209"},"PeriodicalIF":5.6,"publicationDate":"2025-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437180","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}

引用次数: 0

A novel cascaded reflective temperature-independent fiber-optic biosensor for trace vanillin concentration detection enhanced specificity with molecularly imprinted polymer

IF 5.6 1区农林科学

Food Control Pub Date : 2025-02-12 DOI: 10.1016/j.foodcont.2025.111217

Dandan Sun , Ze Xu , Li Jin , Bowen Yang , Wenwen Wang , Yukun Yang , Jie Ma

{"title":"A novel cascaded reflective temperature-independent fiber-optic biosensor for trace vanillin concentration detection enhanced specificity with molecularly imprinted polymer","authors":"Dandan Sun , Ze Xu , Li Jin , Bowen Yang , Wenwen Wang , Yukun Yang , Jie Ma","doi":"10.1016/j.foodcont.2025.111217","DOIUrl":"10.1016/j.foodcont.2025.111217","url":null,"abstract":"<div><div>A cascade structured reflective sensor consisting of a microfiber interferometer (MFI) and a gold-coated tilted fiber Bragg grating (TFBG) is proposed. A molecularly imprinted polymers (MIPs) specific recognition layer is coated on the MFI surface with pore sites complementary in shape and size to vanillin (VA), which in turn enables the trapping of VA, causing a change in the refractive index of the MFI surface. This process can be translated into a change in intensity difference. The sensor is capable of detecting VA in the range of 0.1–200 μM with a sensitivity of 2.58 dB/(μM) and a detection limit of 0.07 μM. The proposed sensor utilizes a sensitivity matrix that can eliminate temperature cross-sensitivity. Further the performance validation shows that the sensor has high selectivity. The recoveries in real sample detection ranged from 92 to 118%, which demonstrates its high accuracy and reliability in practical applications. Therefore, this new cascade structure reflectance sensor provides an efficient and reliable tool for the detection of VA in the food industry, which is of great significance for food safety and quality control.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"173 ","pages":"Article 111217"},"PeriodicalIF":5.6,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429603","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}

引用次数: 0

Widely targeted metabolomics analysis unveils the underlying mechanism of starch/carboxymethyl cellulose-based photodynamic antimicrobial packaging in delaying quality deterioration of snap beans

IF 5.6 1区农林科学

Food Control Pub Date : 2025-02-12 DOI: 10.1016/j.foodcont.2025.111213

Rumeng Wang, Dezhuang Gong

{"title":"Widely targeted metabolomics analysis unveils the underlying mechanism of starch/carboxymethyl cellulose-based photodynamic antimicrobial packaging in delaying quality deterioration of snap beans","authors":"Rumeng Wang, Dezhuang Gong","doi":"10.1016/j.foodcont.2025.111213","DOIUrl":"10.1016/j.foodcont.2025.111213","url":null,"abstract":"<div><div>Snap beans (<em>Phaseolus vulgaris</em> L.) have high nutritional value but are susceptible to senescence and spoilage after harvest. Previously, a carboxymethyl cellulose/starch-based photodynamic film (CCPF) was shown to delay the senescence process and maintain the storage quality of snap bean pods (SBPs). However, the mechanism of the CCPF effect on the preservation of snap beans remains unclear. This study first confirmed the beneficial effects of CCPF packaging on the appearance and nutritional quality of SBPs and microbial growth inhibition. Then, the regulatory mechanism by which CCPF packaging impacts the physiological metabolism of postharvest SBPs was investigated via widely targeted metabolomics. The results revealed 1802 metabolites in total SBP samples, among which 464 metabolites were significantly different between SBPs packaged with the CCPF and those packaged with a pure carboxymethyl cellulose/starch-based film (CCF) in the dark. It was found that CCPF packaging could delay the deterioration of the quality of SBPs by regulating the synthesis and decomposition of phenolic acids, flavonoids, lipids, amino acids and derivatives in postharvest SBPs. Kyoto Encyclopedia of Genes and Genomes pathway analysis revealed that compared with CCF packaging, CCPF packaging delayed the postharvest senescence of SBPs by affecting three potential metabolic pathways (isoflavone biosynthesis, flavonoid biosynthesis and nicotinate and nicotinamide metabolism), maintaining the storage quality of snap beans. This study revealed the possible mechanism by which CCPF packaging maintains the postharvest storage quality of snap beans.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"173 ","pages":"Article 111213"},"PeriodicalIF":5.6,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437183","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}

引用次数: 0

Corrigendum to “A preliminary elemental and isotopic investigation to develop authentication tools for Chinese Ganoderma lucidum” [Food Control 153 (2023) 109888]

IF 5.6 1区农林科学

Food Control Pub Date : 2025-02-12 DOI: 10.1016/j.foodcont.2025.111210

Syed Abdul Wadood , Jing Nie , Zhenhao Li , Chunlin Li , Nanyan Zhang , Karyne M. Rogers , Yongzhi Zhang , Yuwei Yuan

引用次数: 0

Effective physical methods for aflatoxin B1 removal in food: A comprehensive review

IF 5.6 1区农林科学

Food Control Pub Date : 2025-02-12 DOI: 10.1016/j.foodcont.2025.111215

Qingwei Cai , Lixiang Zhu , Peng Chen , Huitao Liu , Teck-Peng Loh , Zhenhua Jia , Jinling Li , Fei Fu

{"title":"Effective physical methods for aflatoxin B1 removal in food: A comprehensive review","authors":"Qingwei Cai , Lixiang Zhu , Peng Chen , Huitao Liu , Teck-Peng Loh , Zhenhua Jia , Jinling Li , Fei Fu","doi":"10.1016/j.foodcont.2025.111215","DOIUrl":"10.1016/j.foodcont.2025.111215","url":null,"abstract":"<div><div>Aflatoxin B<sub>1</sub> (AFB<sub>1</sub>), a highly toxic metabolite produced by fungi such as <em>Aspergillus flavus</em> and <em>Aspergillus parasiticus</em>, is commonly found in agricultural products and poses serious risks to human and animal health. Addressing AFB<sub>1</sub> contamination has become a critical concern, with detoxification strategies spanning biological, chemical, and physical approaches. Among these, physical methods stand out for their simplicity, efficiency, and scalability, making them ideal for large-scale applications. This paper examines the current pollution levels and regulatory limits of AFB<sub>1</sub>, with a focus on advancements in physical detoxification methods. It highlights techniques such as high-temperature heating and ultraviolet irradiation for AFB<sub>1</sub> degradation, alongside adsorption methods utilizing materials like activated carbon, montmorillonite, and metal-organic frameworks. Additionally, the review delves into the underlying mechanisms of these physical methods and assesses their practical effectiveness. This study underscores the potential of physical detoxification methods in mitigating AFB<sub>1</sub> contamination, while acknowledging challenges such as preserving food quality and optimizing efficiency. The insights aim to inspire further research and innovation, particularly in developing novel adsorbents and refining treatment processes. By addressing these challenges and integrating with other detoxification strategies, physical methods hold promise as a key solution for enhancing food safety and combating mycotoxin contamination worldwide.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"173 ","pages":"Article 111215"},"PeriodicalIF":5.6,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419397","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}

引用次数: 0

Smartphone app with cloud-based machine learning and visual sensor array for instrument-free detection of species, geographic origin, and quality marker in functional food Gancao 利用基于云的机器学习和视觉传感器阵列的智能手机应用程序，无需仪器即可检测功能食品中的物种、地理来源和质量标记 Gancao

IF 5.6 1区农林科学

Food Control Pub Date : 2025-02-12 DOI: 10.1016/j.foodcont.2025.111219

Yun Huang , Aifen Hu , Lixue Ren , WanJun Long , Wei Lan , Yi He , Yuanbin She , Hengye Chen , Haiyan Fu

{"title":"Smartphone app with cloud-based machine learning and visual sensor array for instrument-free detection of species, geographic origin, and quality marker in functional food Gancao","authors":"Yun Huang , Aifen Hu , Lixue Ren , WanJun Long , Wei Lan , Yi He , Yuanbin She , Hengye Chen , Haiyan Fu","doi":"10.1016/j.foodcont.2025.111219","DOIUrl":"10.1016/j.foodcont.2025.111219","url":null,"abstract":"<div><div>Glycyrrhizae Radix et Rhizoma (Gancao) is a functional food whose quality varies significantly owing to the genetic and geographical factors, and is often used by unscrupulous merchants as a substitute for profit. This study developed a rapid identification method for Gancao that determined the species, geographical origin, and main quality marker using a six-channel visual array sensor. This sensor detected the color changes resulting from the competitive coordination with metal ions and color-changing organic dyes. The combination of the array sensor with a random forest (RF) algorithm achieved 100% accuracy in identifying Gancao. Additionally, the smartphone app enabled the rapid and intelligent identification of Gancao within 1 min. The identification accuracy was 91.43%, and the prediction error of two quality markers was less than 13%. This research provides a foundation for rapid and reliable assessment of Gancao quality, enabling the industry to combat fraudulent practices effectively.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"173 ","pages":"Article 111219"},"PeriodicalIF":5.6,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143429629","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}

引用次数: 0