Food Control最新文献_第6页

Probiotics as a biocontrol strategy against Salmonella in poultry: A global meta-analysis 益生菌作为家禽沙门氏菌的生物防治策略：一项全球荟萃分析

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control

Pub Date : 2025-12-29 DOI: 10.1016/j.foodcont.2025.111952

Mingjuan Qu , Lisheng Zhang , Jianlong Zhang , Xin Yu , Linlin Jiang , Hongwei Zhu , Xingxiao Zhang

This study systematically evaluated the efficacy of probiotics as a biocontrol strategy against Salmonella in poultry production, with the aim of reducing Salmonella contamination at the source within the food chain. A comprehensive literature search was conducted in databases including PubMed and Web of Science for studies published up to March 2025. Fifty animal experimental studies were included in the meta-analysis. The effects of probiotics on inflammatory cytokines, Salmonella colonization levels, and poultry health indicators were assessed. Subgroup analyses were performed to examine the influence of probiotic strain type, administration method, intervention duration, and the probiotic-to-Salmonella dose ratio (PSDR). The results indicated that probiotic interventions significantly decreased levels of inflammatory cytokines such as interleukin-6 (IL-6) and IL-1β, reduced Salmonella colonization in the spleen, liver, and cecum, and improved body weight (BW). Subgroup analyses revealed that Lactobacillus and Bacillus strains exhibited superior anti-inflammatory effects, while Bifidobacterium was most effective in promoting weight gain. Oral gavage emerged as the most effective administration method for mitigating inflammation and reducing colonization. Optimal outcomes were achieved with intervention duration of 21–30 days and a PSDR maintained between 1 and 1000. Furthermore, multivariate meta-regression refined these insights by revealing that while lower PSDR and therapeutic administration specifically maximize anti-inflammatory benefits, feed-based delivery was identified as superior for promoting growth. The findings demonstrate that probiotics are effective in controlling Salmonella infections in poultry, thereby contributing to the reduction of Salmonella entry into the food supply. Efficacy is influenced by strain type, administration method, intervention duration, and dose ratio, underscoring the potential of probiotics as a sustainable alternative to antibiotics for enhancing food safety from farm to fork.

本研究系统地评估了益生菌作为家禽生产中沙门氏菌生物防治策略的功效，旨在减少食物链中沙门氏菌的污染源。在PubMed和Web of Science等数据库中对截至2025年3月发表的研究进行了全面的文献检索。荟萃分析包括50项动物实验研究。评估了益生菌对炎症因子、沙门氏菌定殖水平和家禽健康指标的影响。亚组分析益生菌菌株类型、给药方式、干预时间和益生菌与沙门氏菌剂量比（PSDR）的影响。结果表明，益生菌干预显著降低了炎症因子如白细胞介素-6 （IL-6）和IL-1β的水平，减少了沙门氏菌在脾脏、肝脏和盲肠的定植，改善了体重（BW）。亚组分析显示，乳杆菌和芽孢杆菌菌株表现出优越的抗炎作用，而双歧杆菌在促进体重增加方面最有效。口服灌胃是减轻炎症和减少定植最有效的给药方法。干预持续时间为21-30天，PSDR维持在1 - 1000之间，达到最佳效果。此外，多元荟萃回归通过揭示虽然较低的PSDR和治疗给药特别最大化抗炎益处，但饲料给药被确定为促进生长的优势。研究结果表明，益生菌能有效控制家禽中的沙门氏菌感染，从而有助于减少沙门氏菌进入食物供应。益生菌的功效受菌株类型、给药方法、干预时间和剂量比的影响，强调了益生菌作为抗生素的可持续替代品，从农场到餐桌加强食品安全的潜力。

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引用次数: 0

Portable photonic immunosensor for the simultaneous detection of Escherichia coli and Salmonella typhimurium in milk samples 便携式光子免疫传感器用于同时检测牛奶样品中的大肠杆菌和鼠伤寒沙门菌

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control

Pub Date : 2025-12-29 DOI: 10.1016/j.foodcont.2025.111944

Dimitra Kourti , Michailia Angelopoulou , Eleni Makarona , Anastasios Economou , Panagiota Petrou , Konstantinos Misiakos , Sotirios Kakabakos

Milk can be contaminated with pathogenic bacteria such as Salmonella typhimurium and Escherichia coli, which can cause acute foodborne illnesses. In this study, we present an optical immunosensor designed for the simultaneous detection of these two bacteria in milk samples. The sensor is based on a silicon chip that incorporates two U-shaped silicon nitride waveguides configured as Mach-Zehnder Interferometers (MZIs). The sensing windows of the MZIs, located at one end of the chip, differ in length and allow for sequential immersion into reagent solutions during assay procedures. At the opposite end, the chip is optically coupled to a broadband white LED and a spectrophotometer via a bifurcated optical fiber and a dedicated coupler. To enable selective detection, the sensing windows of the MZIs are functionalized with lipopolysaccharides from the outer membranes of S. typhimurium and E. coli, respectively. A competitive immunoassay, completed in just 15 min, enabled detection limits of 45 cfu/mL for S. typhimurium and 125 cfu/mL for E. coli in milk. With a pre-enrichment step of approximately 8 h, single-cell detection became possible for both bacteria. The sensor excellent performance, quantitative determinations capability, and compact design, achieved by eliminating the need for microfluidics or pumps, make it a powerful and practical tool for bacterial detection in milk.

牛奶可能被致病性细菌污染，如鼠伤寒沙门氏菌和大肠杆菌，这些细菌会导致急性食源性疾病。在这项研究中，我们设计了一种光学免疫传感器，用于同时检测牛奶样品中的这两种细菌。该传感器基于一个硅芯片，集成了两个u形氮化硅波导，配置为马赫-曾德干涉仪（MZIs）。mzi的感应窗口位于芯片的一端，长度不同，允许在分析过程中连续浸入试剂溶液中。在另一端，芯片通过分岔光纤和专用耦合器光学耦合到宽带白光LED和分光光度计。为了实现选择性检测，mzi的传感窗口分别用鼠伤寒沙门氏菌和大肠杆菌的外膜脂多糖功能化。竞争性免疫分析仅在15分钟内完成，使牛奶中的鼠伤寒沙门氏菌的检测限为45 cfu/mL，大肠杆菌的检测限为125 cfu/mL。经过约8小时的预富集步骤，两种细菌的单细胞检测成为可能。该传感器优异的性能、定量测定能力和紧凑的设计，消除了对微流体或泵的需求，使其成为牛奶中细菌检测的强大实用工具。

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引用次数: 0

Explainable machine learning-assisted near-infrared spectroscopy for rapid detection of adulterants in sweet potato starch 可解释的机器学习辅助近红外光谱快速检测甘薯淀粉中的掺假物

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control

Pub Date : 2025-12-28 DOI: 10.1016/j.foodcont.2025.111951

Mengmeng Li , Linna Guo , Mengyu Zhang , Yujie Wang

Sweet potato starch (SPS) is widely used in the food industry owing to its rich nutritional profile. Driven by economic incentives, cheaper plant-derived starches are sometimes illicitly blended into SPS, most notably cassava starch (CAS), corn starch (CS), and potato starch (PS). Green and rapid assessment of such adulteration in SPS remains challenging. Here, we propose a near-infrared spectroscopy (NIR) and explainable machine learning workflow for the classification and quantification of CAS, CS, and PS adulteration in SPS. Principal component analysis (PCA) revealed that the spectral separation between SPS and other starches increases with adulteration level. Supervised random forest (RF) and extreme gradient boosting (XGB) classifiers accurately discriminated among starch types. On the testing set, the XGB classifier achieved an accuracy of 0.86, precision of 0.86, recall of 0.86, and an F1-score of 0.85. Further, quantitative models for adulterant concentration in SPS achieved high performance. The XGB regression models delivered the best results for CAS, CS, and PS, with relative prediction deviation (RPD) of 3.21, 3.38, and 4.02, respectively. Shapley additive explanations (SHAP)–based feature analysis clarified the influence of key spectral variables on model outputs, providing deeper insight into the modeling process. Overall, this study offers a green, rapid method for SPS quality assessment and helps safeguard market fairness and consumer confidence.

甘薯淀粉（SPS）因其丰富的营养成分而广泛应用于食品工业。在经济激励的驱使下，廉价的植物衍生淀粉有时被非法混入SPS中，最明显的是木薯淀粉（CAS）、玉米淀粉（CS）和马铃薯淀粉（PS）。绿色和快速评估SPS中的此类掺假仍然具有挑战性。在这里，我们提出了一种近红外光谱（NIR）和可解释的机器学习工作流程，用于SPS中CAS， CS和PS掺假的分类和量化。主成分分析（PCA）表明，随着掺假水平的增加，SPS与其他淀粉的光谱分离度增大。监督随机森林（RF）和极端梯度增强（XGB）分类器可以准确地区分淀粉类型。在测试集上，XGB分类器的准确率为0.86，精密度为0.86，召回率为0.86，f1得分为0.85。此外，SPS中掺假浓度的定量模型达到了高性能。XGB回归模型对CAS、CS和PS的预测效果最好，相对预测偏差（RPD）分别为3.21、3.38和4.02。基于Shapley加性解释（SHAP）的特征分析明确了关键光谱变量对模型输出的影响，为建模过程提供了更深入的了解。总体而言，本研究提供了一种绿色、快速的SPS质量评估方法，有助于维护市场公平和消费者信心。

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引用次数: 0

A novel approach to confirm high-pressure processing and enhance traceability of meat products using near-infrared spectroscopy 一种利用近红外光谱确认高压加工和增强肉制品可追溯性的新方法

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control

Pub Date : 2025-12-27 DOI: 10.1016/j.foodcont.2025.111946

Emanuela Zanardi , Maria Olga Varrà , Alessandra Negri , Riccardo Ghidini , Riccardo Soldesti , Adriana Ianieri , Sergio Ghidini

A novel near-infrared (NIR) spectroscopy method was developed to verify high-pressure processing (HPP) in traditional Italian meat products. Dry-cured pressed hams (n = 24), entire hams (n = 20), and salamis (n = 20) were analyzed using a portable NIR instrument before (C), immediately after (T0), and 48 h post-HPP (T48). Orthogonal partial least square discriminant models showed high cross-validation performances (R²X, R²Y, Q² > 0.80), clearly separating C from T (T0+T48) samples of all products. Minor spectral differences observed between T0 and T48 salamis indicated storage-related changes, but these did not compromise the discrimination between C and T samples. The NIR bands most effective in discriminating C from T samples were primarily associated with protein, water, and fat absorption. External validation confirmed the reliability of the method, yielding classification accuracies of 100 % for entire hams, 90.5 % for salamis, and 79.2 % for pressed hams. This optimized approach can enhance traceability and control procedures, upholds food safety standards for HPP-treated meat products, and provides benefits for both the food industry and regulatory authorities.

提出了一种新的近红外（NIR）光谱方法来验证传统意大利肉制品的高压加工（HPP）。使用便携式近红外光谱仪分析干腌压火腿（n = 24）、整条火腿（n = 20）和萨拉米香肠（n = 20），分别在hpp前(C)、之后（T0）和hpp后48 h （T48）。正交偏最小二乘判别模型具有较高的交叉验证性能（R2X, R2Y, Q2 > 0.80），能够清晰地将C与所有产品的T （T0+T48）样品分离开来。在T0和T48之间观察到的微小光谱差异表明与储存有关的变化，但这些差异并不影响C和T样品之间的区别。近红外波段最有效地区分C和T样品主要与蛋白质、水和脂肪吸收有关。外部验证证实了该方法的可靠性，对整个火腿的分类准确率为100%，对香肠的分类准确率为90.5%，对压制火腿的分类准确率为79.2%。这种优化的方法可以增强可追溯性和控制程序，维护hpp处理肉制品的食品安全标准，并为食品工业和监管当局提供好处。

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引用次数: 0

Optimization of ethanolic extract of Hylocereus undatus peel in chevon batter: Evaluation of physico-chemical, antioxidant, and antimicrobial properties 西瓜皮乙醇提取工艺优化：理化、抗氧化、抗菌性能评价

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control

Pub Date : 2025-12-27 DOI: 10.1016/j.foodcont.2025.111950

Chirag Singh , V.P. Singh , Pramila Umaraw , Akhilesh K. Verma , Varsha Vihan

This study evaluated the optimization of ethanolic extract of Hylocereus undatus (dragon fruit) peel in chevon batter by assessing its physico-chemical, antioxidant, visual sensory and antimicrobial properties. The extract demonstrated dose-dependent increases in total phenolic content (TPC), DPPH, and ABTS radical scavenging activities, confirming strong antioxidant potential. Antimicrobial activity (zone of inhibition) improved significantly (P < 0.05) with increasing concentrations, with maximum inhibition observed against Listeria monocytogenes. In chevon batter, incorporation of the extract at varying levels (T1-350 mg, T2-550 mg and T3-750 mg) significantly (P < 0.05) enhanced antioxidant activity, reduced lipid oxidation (peroxide value, TBARS, and free fatty acid). Extract-treated groups also exhibited lower pH, higher water activity and sensory evaluation revealed improved color, odour, and appearance scores in the treated samples, especially at higher extract concentrations. Moreover, microbiological analysis indicated significantly (P < 0.05) lower standard plate counts in the treated groups, confirming the antimicrobial efficacy of the extract. GC-MS profiling of ethanolic extract of H. undatus peel revealed total 32 phyto-compounds containg phenols, esters and acids which owing to the reason of high antioxidant and antimicrobial properties of extract. Results suggest that ethanolic extract of H. undatus peel is a promising natural antioxidant and antimicrobial agent for enhancing the shelf life and quality of meat products, offering a viable alternative to synthetic additives like BHA.

以火龙果皮为原料，从理化、抗氧化、视觉感官和抗菌等方面对火龙果皮乙醇提取物进行了优选。提取物显示出剂量依赖性的总酚含量（TPC）， DPPH和ABTS自由基清除活性的增加，证实了强大的抗氧化潜力。随着浓度的增加，抗菌活性（抑制区）显著提高（P < 0.05），对单核增生李斯特菌的抑制作用最大。在chevon面浆中，加入不同水平的提取物（T1-350 mg、T2-550 mg和T3-750 mg）显著（P < 0.05）增强了抗氧化活性，降低了脂质氧化（过氧化值、TBARS和游离脂肪酸）。提取物处理组也表现出较低的pH值，较高的水活度和感官评价显示，处理样品的颜色，气味和外观得分有所改善，特别是在较高的提取物浓度下。此外，微生物学分析显示，处理组的标准平板计数显著（P < 0.05）降低，证实了提取物的抗菌功效。黄皮乙醇提取物的GC-MS分析结果显示，由于黄皮提取物具有较高的抗氧化和抗菌性能，黄皮乙醇提取物中含有32种含酚类、酯类和酸类的植物化合物。结果表明，黄皮乙醇提取物是一种很有前途的天然抗氧化剂和抗菌剂，可以提高肉制品的保质期和质量，为BHA等合成添加剂提供了可行的替代品。

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引用次数: 0

The pH indicator film based on pomelo rind waste pectin /sodium alginate-purple corn cob extracts combined with deep learning for salmon freshness visualization and detection 柚皮废果胶/海藻酸钠-紫玉米芯提取物pH指示膜结合深度学习对三文鱼新鲜度可视化检测

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control

Pub Date : 2025-12-27 DOI: 10.1016/j.foodcont.2025.111949

Shuyang Sun , Yibing Ding , Chunjun Chen , Chanchan Sun , Xiulian Li , Hansheng Gong , Xiangquan Zeng , Handong Zhao , Jinwang Li , Xinguang Fan

This study developed a pH indicator film based on pomelo rind waste pectin (PRP) and sodium alginate (SA), loaded with purple corn cob extracts (PCCEs) as a pH-responsive indicator, for the visual surveillance of salmon freshness. The effects of PCCEs loading levels (2 %, 2.5 %, and 3 %) on composite film properties were investigated. The optimal PRP/SA-3PCCEs film exhibited a thickness of 0.103 mm, tensile strength of 74.13 MPa, and demonstrated good antioxidant activity. The film exhibited distinct color changes from pink to gray-green across a pH range of 2–12, accompanied by significant variations in colorimetric parameters (L∗, a∗, b∗). When applied to monitor salmon freshness, the film color gradually shifted from pink to gray-green as stored salmon deteriorated. Moreover, the accuracy of four convolutional neural network (CNN) models (ResNet-18, DenseNet-121, EfficientNet-B0 and MobileNetV2) in salmon freshness assessment was compared, in which the overall accuracy of ResNet-18 model reached 98.96 %. This PRP/SA-PCCEs smart film combined with deep learning provides an effective strategy for immediate, nondestructive and visual inspection of salmon freshness, and realizes the high-value utilization of agricultural wastes (pomelo rind and purple corn cob).

以柚皮废果胶（PRP）和海藻酸钠（SA）为原料，负载紫玉米芯提取物（PCCEs）作为pH响应指示剂，研制了一种用于鲑鱼新鲜度视觉监测的pH指示膜。研究了pces负载水平（2%、2.5%和3%）对复合膜性能的影响。最佳PRP/SA-3PCCEs薄膜厚度为0.103 mm，抗拉强度为74.13 MPa，具有良好的抗氧化活性。在2-12的pH范围内，薄膜呈现出明显的颜色变化，从粉红色到灰绿色，并伴有显着的比色参数变化（L∗,a∗,b∗）。当用于监测鲑鱼的新鲜度时，随着储存的鲑鱼变质，薄膜的颜色逐渐从粉红色变为灰绿色。此外，比较了4种卷积神经网络（CNN）模型（ResNet-18、DenseNet-121、EfficientNet-B0和MobileNetV2）在鲑鱼新鲜度评估中的准确率，其中ResNet-18模型的总体准确率达到98.96%。该PRP/SA-PCCEs智能薄膜结合深度学习，为鲑鱼新鲜度的即时、无损和目视检测提供了有效策略，实现了农业废弃物（柚皮和紫玉米芯）的高价值利用。

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引用次数: 0

Coupled models for food fraud evaluation of unripe banana flour: Enhanced prediction with XGBoost and variable importance assessed by SHAP 未熟香蕉粉食品欺诈评价的耦合模型：XGBoost增强预测和SHAP评估变量重要性

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control

Pub Date : 2025-12-26 DOI: 10.1016/j.foodcont.2025.111936

Paulo H.C. Simões , Alessandro M.B. Martins , Marcio F. Oliveira , Julio Cesar Siqueira , Aderval S. Luna , Licarion Pinto

This study proposes a chemometric strategy combining eXtreme Gradient Boosting (XGBoost) and SHAP (SHapley Additive exPlanations) to detect and quantify adulteration in unripe banana flour. Color histograms from digital images of authentic and adulterated samples (with oat, wheat, and corn) were used in a three-step coupled model: (i) binary classification (accuracy: 0.9957), (ii) multiclass classification (accuracy: 0.9931), and (iii) regression (RMSEP: 0.0182–0.0297). Compared with classical models such as PLS, MLR, PLS-DA, and LDA, XGBoost achieved higher accuracy, a wider linear range, and greater robustness. In addition to the XGBoost model, SHAP values provided interpretability by highlighting key color channels, offering a feasible strategy for visualizing variable importance in the XGBoost model. Unlike traditional methods, XGBoost requires minimal preprocessing and enables integration of classification and regression in a unified framework. These results highlight the potential of combining machine learning and explainable artificial intelligence for quality control and food fraud detection, reinforcing its applicability.

本研究提出了一种结合极端梯度增强（XGBoost）和SHapley添加剂解释（SHapley Additive exPlanations）的化学计量学策略来检测和量化未成熟香蕉粉中的掺假。真实样品和掺假样品（燕麦、小麦和玉米）的数字图像的颜色直方图用于三步耦合模型：(i)二分类（精度：0.9957），（ii）多分类（精度：0.9931）和（iii）回归（RMSEP: 0.0182-0.0297）。与PLS、MLR、PLS- da和LDA等经典模型相比，XGBoost具有更高的精度、更宽的线性范围和更强的鲁棒性。除了XGBoost模型之外，SHAP值还通过突出显示关键颜色通道提供了可解释性，为XGBoost模型中可视化变量重要性提供了可行的策略。与传统方法不同，XGBoost只需要最少的预处理，并且可以在统一的框架中集成分类和回归。这些结果突出了将机器学习和可解释的人工智能结合起来进行质量控制和食品欺诈检测的潜力，增强了其适用性。

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引用次数: 0

Chlorinated and brominated contaminants in Italian chicken eggs from different housing systems 不同饲养系统的意大利鸡蛋中的氯化和溴化污染物

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control

Pub Date : 2025-12-26 DOI: 10.1016/j.foodcont.2025.111943

Roberta Ceci , Silvia D'Antonio , Alfonso De Benedictis , Giuseppe Di Bernardo , Alwyn R. Fernandes , Manuela Leva , Romolo Salini , Giampiero Scortichini , Giulio Tammaro , Gianfranco Diletti

Chicken eggs are universally consumed and produced globally using different rearing and husbandry systems. Eggs accumulate a range of contaminants through physiological and environmental mechanisms, with contamination levels being regulated in some regions such as the EU. This study used a unique method which allowed simultaneous determination of commonly occurring toxic environmental contaminants - polychlorinated dibenzo-p-dioxins/dibenzofurans (PCDD/Fs), polychlorinated biphenyls (PCBs), polybrominated diphenylethers (PBDEs), and hexabromocyclododecanes (HBCDDs) in the same sample. This methodology was used to investigate Italian eggs raised by three different chicken rearing systems – caged, barn and organic. Despite generally higher (literature) reported levels of these contaminants in organic produce, the study data showed remarkably similar contamination across the three systems. Contamination levels were generally lower (considerably below regulated levels) than literature reports, including in Italian eggs. Mean (and maximum) concentrations detected were 0.14 (0.58) pg TEQ/g fat for PCDD/Fs plus dioxin like-PCBs (DL-PCBs), 0.51 (2.0) ng/g fat for non-dioxin-like PCBs (NDL-PCBs) 1.08 (3.85) ng/g fat for ΣPBDE₁₀, and 0.12 (0.44) ng/g fat for HBCDDs. The only significant differences were found for DL-PCBs and NDL-PCBs in caged chicken eggs compared to the other two systems. The low levels of contamination, particularly in organic eggs may result from:

•
high levels of control with respect to animal housing and regulation on feed production
•
limited accessibility to soil contamination that may arise through high and regular turnover of birds over the same areas which depletes inherent soil contaminants
•
predominance of samples taken from Northern Italy which generally shows relatively lower contamination levels

鸡蛋在全球范围内使用不同的饲养和饲养系统进行消费和生产。鸡蛋会通过生理和环境机制积累一系列污染物，在欧盟等一些地区，污染水平受到监管。本研究采用了一种独特的方法，可以同时测定同一样品中常见的有毒环境污染物-多氯二苯并对二恶英/二苯并呋喃（PCDD/Fs）、多氯联苯（PCBs）、多溴二苯醚（PBDEs）和六溴环十二烷（HBCDDs）。该方法被用于调查三种不同的养鸡系统——笼养鸡、仓养鸡和有机养鸡——饲养的意大利鸡蛋。尽管有机农产品中这些污染物的含量普遍较高（文献），但研究数据显示，三种系统中的污染程度非常相似。污染水平普遍低于文献报道（远低于规定水平），包括意大利鸡蛋。PCDD/Fs加二恶英样多氯联苯（DL-PCBs）的平均（和最大）检测浓度为0.14 (0.58)pg TEQ/g脂肪，非二恶英样多氯联苯（NDL-PCBs）的检测浓度为0.51 (2.0)ng/g脂肪，ΣPBDE10检测浓度为1.08 (3.85)ng/g脂肪，hbcdd检测浓度为0.12 (0.44)ng/g脂肪。与其他两种系统相比，笼鸡蛋中的dl -多氯联苯和ndl -多氯联苯只有显著差异。低污染水平，特别是有机鸡蛋的低污染水平可能是由于：•对动物住房的高水平控制和对饲料生产的监管•土壤污染的可及性有限，这可能是由于同一地区鸟类的频繁更替，从而消耗了固有的土壤污染物•主要是从意大利北部采集的样本，通常显示出相对较低的污染水平

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引用次数: 0

Non-destructive visualization and prediction of surimi gel quality under atmospheric cold plasma via hyperspectral imaging and deep learning 基于高光谱成像和深度学习的大气冷等离子体下鱼糜凝胶质量无损可视化与预测

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control

Pub Date : 2025-12-26 DOI: 10.1016/j.foodcont.2025.111942

Huanhuan Li , Yige Wang , Chenhui Li , Xorlali Nunekpeku , Yiping Chen , Wei Zhang , Wei Sheng

The surimi processing industry faces persistent challenges in maintaining gel quality, particularly in terms of gel strength, water-holding capacity (WHC), and whiteness, key attributes that directly influence consumer acceptance and marketability. This study investigates the use of atmospheric cold plasma (ACP) treatment to enhance surimi gel quality and employs hyperspectral imaging (HSI) combined with deep learning for rapid, non-destructive quality assessment. Surimi prepared from Lateolabrax japonicus was treated with ACP at six different durations (0–90 s), followed by standardized thermal gelation, with optimal results observed at 45 s, significantly improving gel strength (4166.36 g mm), WHC (83 %), and whiteness (80.05). To comprehensively assess the gel quality parameters, a hybrid Convolutional Neural Network–Gated Recurrent Unit (CNN-GRU) model was developed. Spectral–spatial data from 616 wavelengths were acquired for 90 samples, and regions of interest (ROIs) were extracted using image binarization and morphological filtering. To improve model robustness and generalizability, data augmentation techniques-including Gaussian noise addition, time warping, and Fourier-based reconstruction-were applied to the extracted spectra. The CNN-GRU model outperformed single-model approaches, achieving high predictive accuracy for gel strength, WHC, and whiteness (Rp² = 0.9224, 0.8945, and 0.9189; RPD = 3.59, 3.09, and 3.53, respectively). Additionally, pixel-level predictions were visualized using pseudo-color maps, providing spatial insights into gel quality distribution across treatments. This study demonstrates that ACP is effective in enhancing surimi gel properties, and that HSI coupled with deep learning provides a powerful, non-destructive solution for real-time quality monitoring and process optimization in surimi manufacturing.

鱼糜加工行业在保持凝胶质量方面面临着持续的挑战，特别是在凝胶强度、保水能力（WHC）和白度方面，这些关键属性直接影响到消费者的接受度和适销性。本研究探讨了使用常压冷等离子体（ACP）处理来提高鱼糜凝胶质量，并采用高光谱成像（HSI）结合深度学习进行快速、无损的质量评估。用ACP处理6个不同时间（0 ~ 90 s）的鱼糜，然后进行标准化的热凝胶化，45 s的效果最佳，凝胶强度（4166.36 g mm）， WHC（83%）和白度（80.05）显著提高。为了全面评估凝胶质量参数，建立了卷积神经网络-门控循环单元（CNN-GRU）混合模型。利用图像二值化和形态学滤波技术提取感兴趣区域（roi），获取90个样品616个波长的光谱空间数据。为了提高模型的鲁棒性和泛化性，对提取的光谱应用了数据增强技术，包括高斯噪声添加、时间规整和基于傅里叶的重建。CNN-GRU模型优于单模型方法，对凝胶强度、WHC和白度的预测精度较高（Rp2分别为0.9224、0.8945和0.9189；RPD分别为3.59、3.09和3.53）。此外，像素级预测使用伪彩色地图可视化，提供了凝胶质量分布在不同处理中的空间洞察。该研究表明，ACP在提高鱼糜凝胶性能方面是有效的，HSI与深度学习相结合，为鱼糜制造的实时质量监控和工艺优化提供了强大的、非破坏性的解决方案。

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引用次数: 0

Occurrence and dietary exposure assessment of per- and polyfluoroalkyl substances in food with different processing levels classified by NOVA system 按NOVA系统分类的不同加工水平食品中全氟烷基和多氟烷基物质的发生及膳食暴露评估

IF 6.3 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Food Control

Pub Date : 2025-12-26 DOI: 10.1016/j.foodcont.2025.111947

Yan Zhou , Yudong Xing , Zimeng Guo , Hian Kee Lee , Zhenzhen Huang

Dietary ingestion is the predominant pathway of human exposure to per- and polyfluoroalkyl substances (PFAS). Twenty-five PFAS in 41 food samples were extracted using a pipette-tip-solid-phase extraction method with a self-developed polyaniline-bovine serum albumin/polyacrylonitrile (PANI-BSA/PAN) nanofiber membrane and quantified by ultrahigh-performance liquid chromatography-high resolution mass spectrometry. These samples represented all four NOVA classification system categories: unprocessed or minimally processed foods (n = 12), processed culinary ingredients (n = 7), processed foods (n = 8), and ultra-processed foods (n = 14). A total of 13 PFAS (Σ₁₃PFAS) were detected across the studied food with the highest concentration of 4.09 μg/kg found in popcorn. In comparison with unprocessed, minimally processed and processed foods, the concentration of Σ₁₃PFAS in ultra-processed foods was significantly higher (p < 0.05). Perfluorooctanoic acid was detected in 82.9 % of all the surveyed food items and 100 % of the analyzed ultra-processed foods. The estimated daily intake of Σ₁₃PFAS from consuming 9 ultra-processed food samples exceeded the tolerable daily intake of 0.63 ng/kg-bw/day, as recommended by the European Food Safety Authority in 2020. The results preliminarily indicate that PFAS contamination levels vary across food species with different processing degrees, and the potential health risks associated with consuming ultra-processed foods warrant future investigation.

饮食摄入是人类接触全氟烷基和多氟烷基物质（PFAS）的主要途径。采用自行研制的聚苯胺-牛血清白蛋白/聚丙烯腈（PANI-BSA/PAN）纳米纤维膜，采用移液管-尖端固相萃取法提取41份食品样品中的25种PFAS，并采用超高效液相色谱-高分辨质谱法进行定量分析。这些样本代表了NOVA分类系统的所有四种类别：未加工或最低加工食品（n = 12），加工烹饪配料（n = 7），加工食品（n = 8）和超加工食品（n = 14）。在所有食品中共检测出13种PFAS （Σ13PFAS），其中爆米花的浓度最高，为4.09 μg/kg。超加工食品中Σ13PFAS的浓度显著高于未加工食品、最低加工食品和加工食品（p < 0.05）。在所有被调查的食品中检测到82.9%的全氟辛酸，在被分析的超加工食品中检测到100%的全氟辛酸。食用9个超加工食品样品的估计每日摄入量Σ13PFAS超过了欧洲食品安全局（European food Safety Authority）在2020年建议的每日可耐受摄入量0.63 ng/kg-bw/day。结果初步表明，不同加工程度的食品中PFAS的污染水平存在差异，食用超加工食品的潜在健康风险值得进一步调查。

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引用次数: 0