Journal of Food Safety最新文献

{"title":"Application of Antioxidant- and Antimicrobial-Rich Extracts From Hass Avocado Pulp in the Development of Chitosan/Gelatin-Based Active Packaging Films for Raw Meat Preservation","authors":"Thi Tuong Vi Tran,&nbsp;Thanh-Thuy Dang,&nbsp;Nguyen Duy Lam,&nbsp;Quoc-Duy Nguyen,&nbsp;Tuan Sang Tran,&nbsp;Thi-Van-Linh Nguyen","doi":"10.1111/jfs.13162","DOIUrl":"https://doi.org/10.1111/jfs.13162","url":null,"abstract":"<div>\u0000 \u0000 <p>In the present study, the ethanolic extracts derived from Hass avocado pulp were observed to exhibit exceptional bioactive qualities and demonstrate bactericidal efficacy against a wide range of microorganisms, encompassing both gram-positive and gram-negative bacteria, as well as fungi. Therefore, this work aimed to develop a biodegradable active film by incorporating the Hass avocado extracts into chitosan/gelatin-based film (HGCF) for the preservation of beef and pork. The study reveals that the chitosan/gelatin-based film (GCF) and HGCF exhibit significant water stability and absorption capabilities. HGCF offered the synergy of antimicrobial properties of Hass avocado extracts and high swelling in water of chitosan/gelatin blend to absorb liquid discharged from fresh meat for prolonged storage. HGCF demonstrated a significant effectiveness in controlling microbial density in comparison to uncoated samples and samples coated with plain gelatin/chitosan film. In detail, HGCF was able to partially eliminate <i>Staphylococcus aureus</i> and <i>Escherichia coli</i> during storage, resulting in the densities after 14 days that were similar to those of uncoated meat samples after 6 days. These results demonstrate the potential of HGCF as active packaging for food preservation and advance the sustainable production and preservation of meat products.</p>\u0000 </div>","PeriodicalId":15814,"journal":{"name":"Journal of Food Safety","volume":"44 5","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142313315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification of Pesticide Residues in Sorghum Based on Hyperspectral and Gradient Boosting Decision Trees","authors":"Xinjun Hu,&nbsp;Jiahong Zhang,&nbsp;Yu Lei,&nbsp;Jianping Tian,&nbsp;Jianheng Peng,&nbsp;Manjiao Chen","doi":"10.1111/jfs.13166","DOIUrl":"https://doi.org/10.1111/jfs.13166","url":null,"abstract":"<div>\u0000 \u0000 <p>To address the challenges posed by chemical methods for detecting pesticide residues in sorghum, such as complicated sample preparation and prolonged detection periods, this study presents a rapid and nondestructive detection approach based on hyperspectral imaging (HSI) technology. A group of sorghum without pesticide residues and three groups uniformly sprayed with pesticides were used in this study. Firstly, support vector machine (SVM) classification models were built using spectral data preprocessed with Savitzky–Golay (SG), discrete wavelet transform (DWT), and standard normal variate (SNV) methods, respectively, and SNV was determined to be the best preprocessing method. Secondly, the gradient boosting decision tree (GBDT) algorithm, principal component analysis (PCA), and the successive projections algorithm (SPA) were respectively used to extract feature wavelengths. Pesticide residue identification models based on full and feature wavelengths were then respectively established using backpropagation neural network (BPNN), SVM, and partial least squares discriminant analysis (PLS-DA). The results show that the BPNN model developed using the feature wavelengths obtained from GBDT was the best for identification of pesticide residues, with an accuracy of 97.8% for both the training and testing sets. Finally, visualization of pesticide residue species in sorghum was achieved using the optimal model. This study demonstrates that utilizing HSI in conjunction with the GBDT-BPNN model is an effective, rapid, and nondestructive method for identifying pesticide residues in sorghum.</p>\u0000 </div>","PeriodicalId":15814,"journal":{"name":"Journal of Food Safety","volume":"44 5","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142273065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antimicrobial Efficacy of Peroxyacetic Acid Spray for Beef Carcasses and Cuts at Beef Processing Plants","authors":"Xianqin Yang,&nbsp;Hui Wang","doi":"10.1111/jfs.13164","DOIUrl":"https://doi.org/10.1111/jfs.13164","url":null,"abstract":"<p>The objective of this study was to assess the antimicrobial efficacy of peroxyacetic acid (PAA) for beef in processing facilities. Inactivation of a wildtype <i>Escherichia coli</i> strain by up to 400 ppm PAA in solutions with different organic loads was determined. The microbial efficacy of PAA was assessed at two commercial beef plants for carcasses and cuts during routine production. The wild type <i>E. coli</i> strain was reduced by &gt;7 log CFU upon exposing to PAA for 15 s at &gt;100 and 200 ppm in low and high organic load solutions, respectively. PAA spray significantly reduced coliforms and <i>E. coli</i> by 1.7–2.0 log units on carcasses artificially inoculated with fecal slurry at one plant, and reduced aerobes and coliforms by 1.7 and 1.0 log units on naturally contaminated carcasses at the other plant. The reduction by PAA spray of aerobes (<i>p</i> &lt; 0.05) on artificially inoculated carcasses was &lt;0.5 log. Significant and consistent reduction of aerobes and coliforms on cuts by PAA was observed for fat surface at both beef plants, but not for lean cut surface. However, fewer cuts sprayed with PAA were positive for <i>E. coli</i>, regardless of cut type, compared with those that were not sprayed. Taken together, PAA can be effective for reducing microbial contamination of beef carcasses and cuts in commercial practice.</p>","PeriodicalId":15814,"journal":{"name":"Journal of Food Safety","volume":"44 5","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfs.13164","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142230966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Virulence Genes Prevalence and Enterobacterial Repetitive Intergenic Consensus-PCR Profiles of Goose-Derived Campylobacter jejuni Isolates","authors":"Esen Gul Demiroglu,&nbsp;Mitat Sahin,&nbsp;Emre Karakaya,&nbsp;Izzet Burcin Saticioglu,&nbsp;Yaren Ersoy,&nbsp;Ozgur Guran,&nbsp;Cansu Guran,&nbsp;Secil Abay,&nbsp;Fuat Aydin,&nbsp;Fatih Buyuk","doi":"10.1111/jfs.13161","DOIUrl":"https://doi.org/10.1111/jfs.13161","url":null,"abstract":"<div>\u0000 \u0000 <p><i>Campylobacter jejuni</i> is a causative agent of gastroenteritis in humans worldwide, and wild and domestic poultry carry of this bacterium in their gastrointestinal tract. Molecular studies to determine the pathogenicity, origin, and epidemiological relationships among <i>C</i>. <i>jejuni</i> isolates from poultry such as chicken, turkey, and goose consumed as human food are important for public health and infection control. This study aimed to investigate the prevalence of virulence genes and Enterobacterial Repetitive Intergenic Consensus (ERIC-PCR) based genotyping of <i>C</i>. <i>jejuni</i> isolates obtained from goose cloacal swab samples. For this purpose, PCR analysis of <i>flaA</i>, <i>racR</i>, <i>dnaJ</i>, <i>pldA</i>, <i>cadF</i>, <i>cdtC</i>, <i>ciaB</i>, <i>cdtB</i>, <i>cdtA</i>, <i>virB11</i>, and <i>wlaN</i> virulence genes and ERIC-PCR analysis of 50 <i>C</i>. <i>jejuni</i> isolates were performed. The emerged genetic profiles and antimicrobial resistance genes regarding the isolates were interpreted with the existing multi-drug resistance (MDR) findings. Virulence gene positivity was detected as 88%, 84%, 82%, 82%, 80%, 80%, 72%, 30%, and 18% for <i>flaA</i>, <i>racR</i>, <i>dnaJ</i>, <i>pldA</i>, <i>cadF</i>, <i>cdtC</i>, <i>ciaB</i>, <i>cdtB</i>, and <i>cdtA</i>, respectively. <i>VirB11</i> and <i>wlaN</i> genes were not detected among the <i>C. jejuni</i> isolates. Virulence genes-based genotyping revealed that the <i>C</i>. <i>jejuni</i> isolates exhibited 22 profiles (A–V). As a result of ERIC-PCR analysis, the <i>C</i>. <i>jejuni</i> isolates showed heterogeneous distribution, exhibiting 14 different ERIC-PCR profiles (Cluster I [Cl-I]–Cluster XIV [Cl-XIV]). The MDR positivity was detected in 7 (14%) of the <i>C</i>. <i>jejuni</i> isolates. Tetracycline and ciprofloxacin were the antibiotics most frequently included in the MDR profiles. There was no clear correlation between ERIC-PCR profiles, virulence gene profiles, and MDR profiles. However, isolates with triple-MDR resistant to ampicillin, tetracycline, and ciprofloxacin showed significant heterogeneity in both ERIC-PCR profile and virulence gene-based genetic profile, all of which were positive for <i>ciaB</i> and <i>flaA</i> genes. These results indicate that carriage of the <i>C</i>. <i>jejuni</i> isolates with high gene prevalence and MDR profiles by geese may pose a risk for <i>Campylobacter</i> infections in humans.</p>\u0000 </div>","PeriodicalId":15814,"journal":{"name":"Journal of Food Safety","volume":"44 5","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of a Portable Electronic Nose for Identification of Minced Chicken Meat Adulterated With Soybean Protein Isolate","authors":"Min Zhou,&nbsp;Chunxia Dai,&nbsp;Joshua Harrington Aheto,&nbsp;Xiaorui Zhang","doi":"10.1111/jfs.13163","DOIUrl":"https://doi.org/10.1111/jfs.13163","url":null,"abstract":"<div>\u0000 \u0000 <p>The study aimed to develop a portable electronic nose system for detecting adulteration with soybean protein isolate (SPI) in chicken meat. The system mainly consisted of three parts: the gas sensor array, the DSP28335 control board, and the upper computer. The DSP28335 control board, developed using C language, included analog to digital converter (ADC) module, digital output (DO) module, pulse width modulation (PWM) module, controller area network (CAN) module, power module, drive circuit, and so forth. The upper computer, developed using LabVIEW, facilitated user interaction with the user by primarily handling CAN configuration and monitoring, displaying and storing sensor data, temperature and flow data, and sending and monitoring electronic nose commands. The feasibility of the proposed electronic nose for characterizing adulterated chicken meat was tested on six classes of chicken meat that had been adulterated with varied quantities of SPI. The mass fractions of SPI were 0%, 5%, 10%, 15%, 20%, and 25%, respectively. On the basis of odor data from the electronic nose, K-nearest neighbor (KNN), linear discriminant analysis (LDA), and support vector machine (SVM) were applied to qualitatively distinguish minced chicken meat with different adulteration ratios. The results showed that the SVM model had the best recognition effect. When the best parameters (<i>c</i>, <i>g</i>) were <i>c</i> = 16 and <i>g</i> = 1, the accuracy of SVM model was 97.22% and 93.75% in the training and testing sets, respectively. These results demonstrated that the portable electronic nose designed in this paper effectively identifies minced chicken meat under various adulteration conditions, enabling rapid and nondestructive detection of chicken meat adulteration.</p>\u0000 </div>","PeriodicalId":15814,"journal":{"name":"Journal of Food Safety","volume":"44 5","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142170131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Byproduct Processing for Clean Label Foods: Avocado and MSM-Tambaqui With a Focus on Zero Waste","authors":"Leandro Presenza,&nbsp;Bianca Ferraz Teixeira,&nbsp;Luis Felipe de Freitas Fabrício,&nbsp;Renato Grimaldi,&nbsp;Juliana Antunes Galvão,&nbsp;Thais Maria Ferreira de Souza Vieira","doi":"10.1111/jfs.13160","DOIUrl":"https://doi.org/10.1111/jfs.13160","url":null,"abstract":"<div>\u0000 \u0000 <p>Agricultural byproducts, often discarded, possess significant nutritional value and technological potential. This study investigates the efficacy of ethanolic-water extracts from avocado (<i>Persea americana</i> Mill.) byproducts, obtained with minimal solvent use through optimized extraction, in enhancing the stability of mechanically separated meat-tambaqui (<i>Colossoma macropomum</i>) burgers, a high-fat Amazonian fish. 2000 ppm of avocado seed and peel extract were applied in shelf-life tests conducted under refrigeration and freezing conditions to evaluate the stability of the burgers. The results demonstrated that the bioactive compounds from avocado byproducts resulted in lower TBARS values, indicating strong antioxidant properties, reduced formation of volatile nitrogen compounds, and color maintenance than sodium erythorbate. Monounsaturated fatty acids (MUFAs) and polyunsaturated fatty acids (PUFAs) were preserved using bioactive ethanolic-water extracts, and the protein content was improved compared to the control, enhancing nutritional quality. This study highlights the potential of using agri-food byproducts, especially for application in highly perishable items such as fish, promoting the development of clean label products, thus supporting a more efficient and environmentally friendly food industry focusing on the circular economy.</p>\u0000 </div>","PeriodicalId":15814,"journal":{"name":"Journal of Food Safety","volume":"44 5","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142137756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interactive effects of osmotic, acid, heat, cold, and freezing stresses on the biofilm formation ability of Salmonella serotypes","authors":"Ata Kaboudari,&nbsp;Javad Aliakbarlu,&nbsp;Tooraj Mehdizadeh","doi":"10.1111/jfs.13156","DOIUrl":"https://doi.org/10.1111/jfs.13156","url":null,"abstract":"<p>Food-related stresses such as heating and freezing may influence the biofilm formation ability of bacteria. This study aimed to investigate the main and interactive effects of food-related stresses on the biofilm formation potential of <i>Salmonella</i> strains isolated from meat. <i>Salmonella enteritidis</i>, <i>Salmonella typhi</i>, and <i>Salmonella typhimurium</i> were subjected to osmotic, acid, heat, cold, and freezing stresses. The colorimetric microtiter plate method was used to measure the biofilm formation ability as a response to the stresses. Among the main effects, freezing time had the most significant effect on the biofilm formation responses of three <i>Salmonella</i> serovars. Freezing reduced the biofilm formation ability of <i>Salmonella typhimurium</i> and <i>Salmonella enteritidis</i> but increased that of <i>Salmonella typhi</i> (<i>p</i> &lt; 0.05). Among the interaction effects, the most significant effect on the biofilm formation response of <i>Salmonella typhi</i> was the interaction between pH and heat, which had a negative effect on the biofilm formation response. In contrast, the interaction between osmotic pressure and cold stresses was the most significant interactive effect on the biofilm formation responses of <i>Salmonella enteritidis</i> and <i>Salmonella typhimurium</i>, which had an increasing effect. This study concluded that the food-related stresses could change the biofilm formation capacity of <i>Salmonella</i> serotypes, and each serotype might show different biofilm formation abilities in response to different stresses.</p>","PeriodicalId":15814,"journal":{"name":"Journal of Food Safety","volume":"44 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of hyperspectral imaging and chemometrics for determining quality and maturity of loquats","authors":"Qinglong Meng,&nbsp;Shunan Feng,&nbsp;Tao Tan,&nbsp;Qingchun Wen,&nbsp;Jing Shang","doi":"10.1111/jfs.13159","DOIUrl":"https://doi.org/10.1111/jfs.13159","url":null,"abstract":"<p>Color, firmness, soluble solid content, and pH are important indices for assessing the quality and maturity of loquats. To explore the feasibility of rapid and non-destructive determination of loquat quality and maturity, this study utilized hyperspectral imaging combined with chemometrics to predict four quality indices of loquats and discriminate their maturity. Partial least squares regression models were developed using both raw and pre-processed spectral data to determine the optimal pre-processing method of multiple scattering correction and standard normal variate (SNV). The competitive adaptive reweighted sampling (CARS) and successive projection algorithms were used to extract spectral features. Feature wavelength models were subsequently developed using multiple linear regression (MLR) and error back propagation neural network. Finally, maturity determination models for loquats were developed by partial least squares discrimination analysis (PLS-DA), support vector machine, and random forest. The SNV-CARS-MLR model performed relatively better than the other models for predicting four quality indices. The PLS-DA model exhibited superior performance, with discrimination accuracies of 99.19% and 96.67% for the calibration and prediction sets. This study demonstrates that integrating hyperspectral imaging and chemometrics enables rapid and non-destructive determination of loquat quality and maturity.</p>","PeriodicalId":15814,"journal":{"name":"Journal of Food Safety","volume":"44 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141980436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficacy of organic acids, lactic and formic acid, and peracetic acid in decontaminating process water and carcasses in chicken slaughter","authors":"Gesa Carstens,&nbsp;Uwe Roesler,&nbsp;Felix Reich,&nbsp;Anika Friese","doi":"10.1111/jfs.13153","DOIUrl":"https://doi.org/10.1111/jfs.13153","url":null,"abstract":"<p>Foodborne pathogens pose a persistent threat in broiler chicken production, particularly during the slaughter process, where contamination with zoonotic pathogens remains a concern. This study focuses on the potential of organic acids, such as formic and lactic acid, and the oxidizing agent peracetic acid, to decontaminate scalding water and enhance the hygiene of chicken carcasses. We conducted suspension tests introducing various organic loads to mirror the conditions of practical scalding water. Additionally, the surface tests were performed on chicken skin. Both methods were further tested in an experimental slaughtering facility. In suspension tests, the organic acids achieved impressive decontamination, with a 5-log₁₀ reduction of the test organisms <i>Enterococcus hirae</i>, <i>Salmonella Typhimurium</i> and <i>Campylobacter jejuni</i> at minimal concentrations (between 0.04% and 2% for formic acid; between 0.1% and 4.5% for lactic acid). Peracetic acid also effectively sanitized model water and chicken skin, even when used in low concentrations (between 0.001% and 0.1%), both in the laboratory-based testing and in the experimental slaughtering facility. These results suggest that the tested disinfectants can effectively sanitize process water, even under conditions mimicking practical scalding water with organic matter. Peracetic acid, in particular, proved highly effective in improving chicken skin hygiene even at low concentrations.</p>","PeriodicalId":15814,"journal":{"name":"Journal of Food Safety","volume":"44 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jfs.13153","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141967883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nanotechnology-based approaches for mycotoxin detection in food and feed","authors":"Mohamed Nihal P,&nbsp;Debasish Mohapatra,&nbsp;Sharfuddin Mohd,&nbsp;Vancha Harish,&nbsp;Sachin Kumar Singh,&nbsp;Gurdeep Singh","doi":"10.1111/jfs.13155","DOIUrl":"https://doi.org/10.1111/jfs.13155","url":null,"abstract":"<p>Mycotoxins are toxic secondary metabolites produced by certain molds and fungi that contaminate various food commodities, posing serious adverse effects on humans and animals. Aflatoxin, ochratoxin, trichothecene, fumonisin, zearalenone, patulin, and citrinin are some of the major mycotoxins affecting food and feed. The scientific community has focused on regulating food and feed materials due to their potential risks. Conventional techniques for mycotoxin detection have certain limitations in terms of sensitivity, specificity, and speed. In recent years, nanotechnology has emerged as a promising approach to revolutionize mycotoxin detection. This review provides an overview of nanotechnology-based detection methods for mycotoxins in food and feed, discussing the basic aspects of mycotoxins, their health hazards, and conventional methods. It also explores various nanosensors and nanodevices developed to improve the sensitivity, selectivity, and speed of mycotoxin detection, thereby enhancing food safety and security.</p>","PeriodicalId":15814,"journal":{"name":"Journal of Food Safety","volume":"44 4","pages":""},"PeriodicalIF":1.9,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141967850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}