Food Control最新文献_第3页

Fusion of fluorescence and visible imaging for unsupervised detection of potato defects 马铃薯缺陷无监督检测的荧光与可见成像融合

IF 6.3 1区农林科学

Food Control Pub Date : 2026-06-01 Epub Date: 2026-01-12 DOI: 10.1016/j.foodcont.2026.111973

Fengnong Chen , Bo Wu , Ye Li , Kai Ren , Zhenhao Zhao , Jinxin Ouyang , Hongwei Sun

{"title":"Fusion of fluorescence and visible imaging for unsupervised detection of potato defects","authors":"Fengnong Chen , Bo Wu , Ye Li , Kai Ren , Zhenhao Zhao , Jinxin Ouyang , Hongwei Sun","doi":"10.1016/j.foodcont.2026.111973","DOIUrl":"10.1016/j.foodcont.2026.111973","url":null,"abstract":"<div><div>Potato defect detection is critical for maintaining postharvest quality and ensuring food supply chain safety. To enhance defect recognition sensitivity, a fluorescence imaging system was developed using 365 nm and 435 nm excitation light sources in combination with a CMOS camera. Using this system, the fluorescence imaging characteristics of potato defects were analyzed under controlled illumination conditions. While fluorescence imaging highlights metabolic or structural differences associated with defects such as mold, sprouting, and greening, visible light imaging retains clear surface texture information. However, each modality alone provides an incomplete description of defect features. To address this limitation, an unsupervised detection model, FADiM, was proposed to fuse fluorescence and visible light data at the feature level. The model eliminates the need for manual labeling and learns the statistical distribution of normal samples, improving efficiency for real-world applications. The fusion strategy further exploits the complementary strengths of fluorescence and visible imaging, enhancing detection accuracy and robustness. In addition, a preprocessing method, Soft Mask, was introduced to suppress background interference and enhance effective feature responses. Experimental results show that the proposed method achieves pixel-level and image-level AUC values of 97.9 % and 96.3 %, representing improvements of 2.8 % and 4.9 % over the benchmark model. Feature map visualizations further confirm the complementary characteristics of the two data modalities. This study provides valuable reference for fluorescence imaging–based, non-destructive defect detection in potatoes and other agricultural products.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"184 ","pages":"Article 111973"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976160","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

Toward trustworthy non-destructive mango quality prediction using hyperspectral imaging and explainable AI 利用高光谱成像和可解释的人工智能实现可靠的、无损的芒果质量预测

IF 6.3 1区农林科学

Food Control Pub Date : 2026-06-01 Epub Date: 2026-02-02 DOI: 10.1016/j.foodcont.2026.112026

Haizhen Ding , Jingyuan Zhao , Wensi Wang , Rui Ding , Yonghuan Yun , Yande Liu , Kang Tu , Weijie Lan , Leiqing Pan

{"title":"Toward trustworthy non-destructive mango quality prediction using hyperspectral imaging and explainable AI","authors":"Haizhen Ding , Jingyuan Zhao , Wensi Wang , Rui Ding , Yonghuan Yun , Yande Liu , Kang Tu , Weijie Lan , Leiqing Pan","doi":"10.1016/j.foodcont.2026.112026","DOIUrl":"10.1016/j.foodcont.2026.112026","url":null,"abstract":"<div><div>As a climacteric fruit, mangoes incur considerable annual losses due to improper storage. This study integrated explainable artificial intelligence (XAI) with hyperspectral imaging (HSI) for efficient discrimination and visualization of mango maturity and key internal attributes: soluble solids content (SSC), titratable acid (TA), and firmness. Results indicated significant changes in internal attributes preceding visible peel discoloration, rendering reliance on appearance alone for maturity assessment unreliable. Mangoes were classified into three maturity stages based on quality changes during storage. The support vector machine classification (SVMC) model combined with SNV preprocessing achieved 100% accuracy in discriminating these stages. For internal attribute prediction, the random forest (RF) model utilizing raw spectra exhibited the best performance, with <em>R</em><sub><em>p</em></sub><sup><em>2</em></sup>, RMSEP, and RPD values of 0.946, 2.515, and 4.311 for firmness; 0.793, 0.609, and 2.209 for SSC; and 0.825, 0.172, and 2.411 for TA, respectively. XAI further identified the critical importance of the 940–960 nm and 1697–1784 nm regions in predicting all attributes, emphasizing the significance of C–H bonds in sugars, O–H bonds in water, and carboxyl groups in TA. Visualization maps of internal attributes were generated based on the optimal prediction model, effectively capturing spatial differences in attribute distribution across various ripening stages and fruit regions. These findings underscore the importance of HSI in assessing mango internal states, while XAI enhances the transparency and reliability of chemometric models, thereby facilitating the delivery of higher-quality products to consumers.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"184 ","pages":"Article 112026"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170688","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

Rapid and simultaneous detection of Aspergillus and aflatoxin B1 content in maize using data fusion and explainable analysis 利用数据融合和解释分析快速同时检测玉米中曲霉和黄曲霉毒素B1含量

IF 6.3 1区农林科学

Food Control Pub Date : 2026-06-01 Epub Date: 2026-01-29 DOI: 10.1016/j.foodcont.2026.111987

Wenhui Jiang , Yi Zhang , Changxin Yang , Wei Liu , Changhong Liu , Lei Zheng

{"title":"Rapid and simultaneous detection of Aspergillus and aflatoxin B1 content in maize using data fusion and explainable analysis","authors":"Wenhui Jiang , Yi Zhang , Changxin Yang , Wei Liu , Changhong Liu , Lei Zheng","doi":"10.1016/j.foodcont.2026.111987","DOIUrl":"10.1016/j.foodcont.2026.111987","url":null,"abstract":"<div><div>Maize is highly susceptible to <em>Aspergillus flavus</em> infection, which can subsequently lead to aflatoxin B<sub>1</sub> (AFB<sub>1</sub>) contamination during storage, posing serious threats to food safety and human health. This study developed a simultaneous detection method by integrating near-infrared spectroscopy (NIRS) with electronic nose (E-nose) technologies. Random forest (RF), support vector regression (SVR), and feedforward neural network (FNN) models were constructed, with data fusion and feature selection strategies applied. The results demonstrated that the successive projections algorithm (SPA)-FNN model based on mid-level fusion significantly outperformed single-modality models, achieving superior results with <span><math><mrow><msubsup><mi>R</mi><mi>P</mi><mn>2</mn></msubsup></mrow></math></span> of 0.9595 and 0.9867, RMSEP of 0.2408 log CFU/g and 24.7404 μg/kg, and RPD of 4.9671 and 8.6701 for fungal colony counts and AFB<sub>1</sub> contents. Crucially, the introduction of Shapley Additive exPlanations (SHAP) analysis transitioned the deep learning model from a “black box” into an interpretable system. It revealed that the predictions are driven by specific biochemical mechanisms, specifically substrate degradation and oxidative stress-induced volatiles, thereby validating the scientific basis of the detection logic. This study provides a rapid, accurate, and mechanistically interpretable framework for maize quality monitoring, laying a solid foundation for the future development of portable, on-site detection devices.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"184 ","pages":"Article 111987"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170682","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

Colorimetric/fluorescent dual-module bivalent aptasensor for kanamycin detection based on silver nanoparticles and silver nanoclusters 基于纳米银和纳米银团簇的卡那霉素比色/荧光双模二价适体传感器

IF 6.3 1区农林科学

Food Control Pub Date : 2026-06-01 Epub Date: 2026-01-29 DOI: 10.1016/j.foodcont.2026.112018

Dong Xu , Xingxing Li , Xinxin Yan , Lei Shan , Fuhou Li , Weixia Wang , Yuchengmin Zhang , Jinri Chen

{"title":"Colorimetric/fluorescent dual-module bivalent aptasensor for kanamycin detection based on silver nanoparticles and silver nanoclusters","authors":"Dong Xu , Xingxing Li , Xinxin Yan , Lei Shan , Fuhou Li , Weixia Wang , Yuchengmin Zhang , Jinri Chen","doi":"10.1016/j.foodcont.2026.112018","DOIUrl":"10.1016/j.foodcont.2026.112018","url":null,"abstract":"<div><div>Excessive intake of kanamycin (KAN) poses significant risks to human health, so it is necessary to develop rapid, portable, low-cost, and highly sensitive biosensors to monitor KAN. Herein, a colorimetric/fluorescent bivalent aptasensor for rapid detection of KAN was developed based on bivalent aptamer-templated silver nanoparticles (BApt-templated AgNPs) and bivalent aptamer-templated silver nanoclusters (BApt-AgNCs), which was constructed by cDNA-BApt-cDNA, NaBH<sub>4</sub> and AgNO<sub>3</sub>. BApt-templeted AgNPs and BApt-AgNCs can be synthesized by changing the reaction temperature and time of NaBH<sub>4</sub> and AgNO<sub>3</sub> with cDNA-BApt-cDNA. This aptasensor is composed of a colorimetric/fluorescence dual detection module, and it supports absorbance/RGB/fluorescence three-mode detection. An ultralow detection limit of 5.98 fM was achieved in the fluorescence detection module and a detection range of 0–500 μM was achieved in the colorimetric detection module. Meanwhile, the aptasensor demonstrates excellent repeatability in actual sample testing, thus having great potential for on-site quantitative analysis and portable detection of KAN.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"184 ","pages":"Article 112018"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170652","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

Green derivative synchronous fluorescence spectroscopy approach for rapid quantification of Rhodamine B in food samples 绿色导数同步荧光光谱法快速定量食品样品中罗丹明B

IF 6.3 1区农林科学

Food Control Pub Date : 2026-06-01 Epub Date: 2026-01-23 DOI: 10.1016/j.foodcont.2026.112013

Hong-Jun Liu , Jia-Rong He , Yi-Han Guo , Jia-Lin Li , Wei-Peng Cai , Ping-Ping Wu , Yao-Qun Li

{"title":"Green derivative synchronous fluorescence spectroscopy approach for rapid quantification of Rhodamine B in food samples","authors":"Hong-Jun Liu , Jia-Rong He , Yi-Han Guo , Jia-Lin Li , Wei-Peng Cai , Ping-Ping Wu , Yao-Qun Li","doi":"10.1016/j.foodcont.2026.112013","DOIUrl":"10.1016/j.foodcont.2026.112013","url":null,"abstract":"<div><div>A rapid and green method based on first derivative constant-wavelength synchronous fluorescence spectroscopy (1st-DCWSFS) was developed for the quantification of Rhodamine B (RhB) in food samples. The sample pretreatment involves a simple operation combining ultrasonic-assisted extraction with centrifugation, and the total analysis time for a single sample is less than 12 min (including the pretreatment and detection processes). Under optimal conditions, the method exhibited excellent linearity (R<sup>2</sup> = 0.999) over concentration range of 0–125 μg/kg, with a detection limit of 0.15–0.74 μg/kg and recoveries ranging from 82 % to 104 %. The method was successfully validated in 11 typical food matrices, including meat products, fruits and vegetables, oils and condiments, baked goods, and candies, demonstrating broad applicability. No significant difference was observed compared with the results obtained by high-performance liquid chromatography (HPLC) (p > 0.05). The greenness of this method was assessed using the Eco-Scale, MoGAPI, and AGREE metrics, confirming its sustainability. This rapid, sensitive, reliable, and environmentally friendly method is suitable for high-throughput screening and on-site monitoring of RhB in various complex food matrices, addressing critical needs in food safety regulation.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"184 ","pages":"Article 112013"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075317","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

Creeping and crawling through DNA: metabarcoding for identifying species in insect-based foods 通过DNA爬行和爬行：识别昆虫类食物中物种的元条形码

IF 6.3 1区农林科学

Food Control Pub Date : 2026-06-01 Epub Date: 2026-01-23 DOI: 10.1016/j.foodcont.2026.112014

Anna Mottola , Lucilia Lorusso , Chiara Intermite , Lucia Ranieri , Stefania Carpino , Vincenzo Di Martino , Angela Di Pinto

{"title":"Creeping and crawling through DNA: metabarcoding for identifying species in insect-based foods","authors":"Anna Mottola , Lucilia Lorusso , Chiara Intermite , Lucia Ranieri , Stefania Carpino , Vincenzo Di Martino , Angela Di Pinto","doi":"10.1016/j.foodcont.2026.112014","DOIUrl":"10.1016/j.foodcont.2026.112014","url":null,"abstract":"<div><div>Insect-Based Products (IBPs) have emerged as promising alternatives to conventional protein sources for human consumption, with the European Union currently authorising four insect species for food use. Their incorporation into processed foods (e.g., flours, snacks), which is done primarily to overcome consumer aversion, raises the risk of undeclared species being included, thus potentially undermining product authenticity and consumer rights. Here, the species authenticity of 18 IBPs, collected from various e-commerce platforms, was assessed using DNA metabarcoding. Our results showed widespread labelling non-compliance (≃ 67 %), including erroneous or incomplete information, and a 50 % mislabelling rate due to discrepancies between declared and detected species. These issues highlight weaknesses in edible insect supply chains, pointing to gaps in Food Business Operators (FBOs) training and raising public health concerns. DNA metabarcoding proved to be a valuable tool for verifying IBPs authenticity and safety, opening up potential avenues for further exploring this complex supply chain.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"184 ","pages":"Article 112014"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075300","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

Assessment of chemometric and deep learning models for blueberry authentication using visible and near-infrared spectral imaging 使用可见光和近红外光谱成像评估蓝莓认证的化学计量学和深度学习模型

IF 6.3 1区农林科学

Food Control Pub Date : 2026-06-01 Epub Date: 2026-02-01 DOI: 10.1016/j.foodcont.2026.112027

Priyanka Dahiya , Christopher Kucha , Ebenezer Olaniyi , Ashfaq Sial

{"title":"Assessment of chemometric and deep learning models for blueberry authentication using visible and near-infrared spectral imaging","authors":"Priyanka Dahiya , Christopher Kucha , Ebenezer Olaniyi , Ashfaq Sial","doi":"10.1016/j.foodcont.2026.112027","DOIUrl":"10.1016/j.foodcont.2026.112027","url":null,"abstract":"<div><div>Reliable identification of blueberry varieties is critical for quality control, supply chain traceability, and fraud prevention. This study evaluated hyperspectral imaging (HSI) in the visible–near infrared (VNIR, 400–1000 nm) and near infrared (NIR, 900–1700 nm) ranges, combined with chemometric and deep learning models, for blueberry varietal discrimination. Mean spectra were extracted and analyzed using Partial Least Squares Discriminant Analysis (PLS-DA), Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), and 1D Convolutional Neural Networks (1D-CNN), and a 3D-CNN was trained on spectral–spatial patches from the full hypercubes. Full-spectrum modeling showed that 1D-CNN achieved the highest accuracy with VNIR data (97.4%), while LDA performed best with NIR (94.5%), reflecting complementary strengths of nonlinear and linear models. To reduce redundancy, the Successive Projections Algorithm (SPA) was applied under three feature level data fusion strategies: fusion-before-selection, separate-selection, and fuse-after-selection. Among these, fuse-after-selection maintained the best performance, with the 3D-CNN achieving the highest accuracy (97.5%), followed by LDA (91.0%) and SVM (90.0%). These findings demonstrate that HSI, coupled with tailored modeling strategies, provides an effective and scalable approach for blueberry varietal authentication.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"184 ","pages":"Article 112027"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170643","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

Effects of pulsed electric field and cold plasma treatments on goat milk: A study based on microflora, quality, flavor and protein digestion 脉冲电场和冷等离子体处理对羊奶微生物区系、品质、风味和蛋白质消化的影响

IF 6.3 1区农林科学

Food Control Pub Date : 2026-06-01 Epub Date: 2026-01-28 DOI: 10.1016/j.foodcont.2026.112017

Zhi Cao , Zhengshi Chang , Ning Song , Yanhui Yang , Wupeng Ge , Lili Zhao

{"title":"Effects of pulsed electric field and cold plasma treatments on goat milk: A study based on microflora, quality, flavor and protein digestion","authors":"Zhi Cao , Zhengshi Chang , Ning Song , Yanhui Yang , Wupeng Ge , Lili Zhao","doi":"10.1016/j.foodcont.2026.112017","DOIUrl":"10.1016/j.foodcont.2026.112017","url":null,"abstract":"<div><div>The study focused on the effects of pulsed electric field (PEF) and cold plasma (CP) treatments on the microflora, physicochemical and sensory properties, bioactive protein content, endogenous enzyme activity, and protein digestion of goat milk. Compare to the raw milk (4.37 Log CFU/mL), the most effective microbial inactivation was achieved with PEF at 22 kV/120 s (0.67 Log CFU/mL) and with CP at 24 V/25 min (2.36 Log CFU/mL). The inactivate effect of PEF was superior to that of CP treatment. The ability of PEF to reduce microbial load is higher than that of CP treatment. The diversity of the microbial community was reduced after both PEF and CP treatments, with the PEF group exhibiting a similar flora distribution to raw milk. There was a significant decrease in fat content (by 8.29 % and 8.87 %), except lactose and protein, after PEF and CP treatment, respectively. Compared to P treatment, PEF treatment retained more bioactive proteins (83.33 % immunoglobulin G, 83.87 % immunoglobulin M, 86.84 % lactoferrin). In terms of physicochemical properties, PEF treatment retained the color and volatile components but increased the initial viscosity of goat milk. However, CP treatment was more effective than PEF treatment in inactivating endogenous enzymes and enhancing protein digestion. The disappearance and reduced abundance of certain bioactive peptides were observed following both PEF and CP treatments. These findings demonstrated that PEF and CP treatments both were potential to replace pasteurization for goat milk.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"184 ","pages":"Article 112017"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170645","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

Directional design of BC/MOF composite aerogel with simultaneous physical protection and antibacterial function for grape postharvest preservation 具有物理保护和抗菌功能的BC/MOF复合气凝胶的定向设计

IF 6.3 1区农林科学

Food Control Pub Date : 2026-06-01 Epub Date: 2026-01-22 DOI: 10.1016/j.foodcont.2026.111995

Jiayi Du , Jinze Zhao , Yining Chen , Siqi Li , Weixia Yang , Haiwei Ren , Zhe Ling , Yi Zheng , Long Chen

{"title":"Directional design of BC/MOF composite aerogel with simultaneous physical protection and antibacterial function for grape postharvest preservation","authors":"Jiayi Du , Jinze Zhao , Yining Chen , Siqi Li , Weixia Yang , Haiwei Ren , Zhe Ling , Yi Zheng , Long Chen","doi":"10.1016/j.foodcont.2026.111995","DOIUrl":"10.1016/j.foodcont.2026.111995","url":null,"abstract":"<div><div>A novel packaging material that integrates cushioning and antibacterial properties is of paramount importance for mitigating mechanical damage and microbial invasion during postharvest storage and transportation of grapes. Current packaging materials still demonstrate considerable scope for advancement in simultaneously satisfying multiple properties required for preservation. In this study, a zeolite imidazolate framework (ZIF-8) was <em>in-situ</em> grown on hydrophobically modified bacterial cellulose (BC) aerogel to form a synergistic construction system, obtaining a degradable BC/MOF composite aerogel with dual functions of mechanical cushioning and antibacterial activity for grapes preservation. The coordination interactions between Zn<sup>2+</sup> in ZIF-8 and the hydroxyl moieties on silanol-functionalized BC confer upon the composite aerogel a robust spatial architecture and mechanical property, with a maximum compressive strength tolerance of 669.41 kPa. During the process of grape preservation for 15 days, the weight loss rate of grapes was only 1.3 %. Furthermore, the aerogels exhibited remarkable efficacy in mitigating membrane lipid peroxidation damage induced by biological stress, while also regulating the activities of stress-related enzymes including lipoxygenase and peroxidase. Aerogels significantly inhibit <em>B</em>. <em>cinerea</em> and other common grape spoilage microbes, combining with physical protection from their 3D network structure to form an antibacterial-cushioning dual preservation mechanism to achieve the fresh-keeping effect. This study systematically demonstrates the potential of the novel BC/MOF antibacterial cushioning material in postharvest preservation of fruits and vegetables, while providing new insights into the synergistic design and fabrication of multifunctional aerogel packaging systems.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"184 ","pages":"Article 111995"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075241","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

Are squid rings made from squids? Amplicon-sequencing HTPS method to identify cephalopod species in processed squid products 鱿鱼圈是用鱿鱼做的吗？扩增子测序HTPS方法鉴定鱿鱼加工产品中头足类动物种类

IF 6.3 1区农林科学

Food Control Pub Date : 2026-06-01 Epub Date: 2026-02-11 DOI: 10.1016/j.foodcont.2026.112028

Carmen G. Sotelo, Ana Sanchez, Begoña Correa, Marta Perez Testa, Ricardo I. Perez-Martín

{"title":"Are squid rings made from squids? Amplicon-sequencing HTPS method to identify cephalopod species in processed squid products","authors":"Carmen G. Sotelo, Ana Sanchez, Begoña Correa, Marta Perez Testa, Ricardo I. Perez-Martín","doi":"10.1016/j.foodcont.2026.112028","DOIUrl":"10.1016/j.foodcont.2026.112028","url":null,"abstract":"<div><div>Cephalopods are widely consumed marine species, yet their fisheries remain poorly regulated, and species-specific catch data are often unavailable. Although a variety of processed squid products are available on the market, frozen squid rings and pieces are among the most popular in the EU and other countries worldwide. This study aimed to assess the diversity of cephalopod species in these processed squid products sold in the Spanish market and to evaluate their compliance with EU labelling regulations. We analysed the labelling and species composition of 63 commercial products by examining their adherence to EU labelling requirements and identifying the cephalopod species present in them by using a metabarcoding approach based on High Throughput Sequencing (HTS). While mislabelling rates were relatively low (11.1%), we observed a high diversity of commercial names that could mislead consumers. Products labelled simply as “squid” included species from both the Loliginidae and Ommastrephidae families, with 50% containing Jumbo flying squid (<em>Dosidicus gigas</em>). These findings underscore the need for clearer labelling to ensure transparency and promote sustainable seafood consumption.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"184 ","pages":"Article 112028"},"PeriodicalIF":6.3,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146170649","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