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Synergistic inactivation of Listeria monocytogenes and inhibition of softening in blueberries by combined ultrasound and CaCl2 slightly acidic electrolyzed water 超声与CaCl2微酸性电解水协同灭活单核细胞增生李斯特菌及抑制蓝莓软化
IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-11-11 DOI: 10.1016/j.foodcont.2025.111838
Yihong Wang , Zhen Zhang , Wanjing Zhang , Pinglin Zhang , Boyu Zhang , Ziyi Zhang , Weipeng Xu , Yiming Lu , Menghua Duan , Hui Yang , Chunling Zhang , Chao Shi
Postharvest blueberry losses are driven by microbial contamination and rapid softening. This study developed a novel dual-action technology combining ultrasound (US) with CaCl2 slightly acidic electrolyzed water (CSAEW) to simultaneously enhance microbial safety and textural stability. The combined US + CSAEW treatment exhibited strong synergistic bactericidal activity against Listeria monocytogenes, achieving a >7-log reduction on blueberry surfaces within 10 min. The mechanism was linked to a significant increase in intracellular reactive oxygen species (ROS) and cell membrane damage. Concurrently, the treatment significantly inhibited fruit softening, maintaining firmness at approximately 0.4 N after 15 days of storage, compared to 0.2 N for untreated controls. This effect was attributed to the inhibition of pectin-degrading enzymes (polygalacturonase and pectin methylesterase) and the cell wall reinforcing action of calcium ions. This highlights the technology's significant advantages in both high-efficacy microbial inactivation and the preservation of fruit quality and shape. This work establishes a proof-of-concept for a functional sanitizer platform that integrates microbial decontamination with quality preservation, offering a promising technology for the fresh produce industry.
采后蓝莓的损失是由微生物污染和快速软化造成的。本研究开发了一种新的双作用技术,将超声(US)与CaCl2微酸性电解水(CSAEW)结合,同时提高微生物安全性和结构稳定性。US + CSAEW联合处理对单核增生李斯特菌表现出很强的协同杀菌活性,在10分钟内实现蓝莓表面7-log的减少。其机制与细胞内活性氧(ROS)的显著增加和细胞膜损伤有关。同时,处理显著抑制果实软化,贮藏15天后保持约0.4 N的硬度,而未经处理的对照为0.2 N。这种效应归因于果胶降解酶(聚半乳糖醛酸酶和果胶甲基酯酶)的抑制和钙离子的细胞壁强化作用。这凸显了该技术在高效灭活微生物和保存水果品质和形状方面的显著优势。这项工作建立了一个功能性消毒平台的概念验证,该平台将微生物去污与质量保存相结合,为生鲜农产品行业提供了一项有前途的技术。
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引用次数: 0
Antimicrobial peptides can substitute antibiotics to control bacterial growth in cultivated meat production without compromising myogenic potential 抗菌肽可以代替抗生素来控制细菌生长,而不影响肌肉生成潜力
IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-11-08 DOI: 10.1016/j.foodcont.2025.111830
Anupam Abraham , Rebekka Rinder Thøgersen , Amila Nawarathna , Lasse Wiis Ravn , Søren Drud-Heydary Nielsen , Jette Feveile Young , Marianne Hammershøj , Martin Krøyer Rasmussen
The potential of antimicrobial peptides (AMPs) as alternatives to traditional antibiotics in cultivated meat (CM) production was explored. In principle the AMPs should control bacterial contamination while preserving the myogenic potential of muscle satellite cells (MSCs). This study assessed the minimum inhibitory concentrations (MICs) of various AMPs, including nisin and Lactoferricin B, against selected bacterial strains. The cytotoxic effects of these AMPs on MSCs were evaluated, and their efficacy in inhibiting bacterial growth in MSC cultures was demonstrated. Nisin and Lactoferricin B effectively inhibited bacterial growth at specific concentrations without exhibiting cytotoxicity towards MSCs. Additionally, these AMPs did not impair the differentiation capacity of MSCs. The findings indicate that nisin and Lactoferricin B are promising candidates for replacing antibiotics in CM production, underscoring the need for further optimization of AMP use in this context.
抗菌肽(AMPs)作为传统抗生素在养殖肉(CM)生产中的替代品的潜力进行了探索。原则上,amp应控制细菌污染,同时保持肌肉卫星细胞(MSCs)的成肌潜能。本研究评估了各种抗菌肽(包括乳酸链球菌素和乳铁蛋白B)对选定菌株的最低抑制浓度(mic)。我们评估了这些amp对间充质干细胞的细胞毒性作用,并证实了它们在间充质干细胞培养物中抑制细菌生长的功效。Nisin和乳铁蛋白B在特定浓度下有效抑制细菌生长,而对MSCs没有细胞毒性。此外,这些amp不会损害MSCs的分化能力。研究结果表明,乳酸菌素和乳铁蛋白B是CM生产中替代抗生素的有希望的候选者,强调在这种情况下需要进一步优化AMP的使用。
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引用次数: 0
Exploring the biocontrol efficiency of Candida tropicalis YDP-38 for reducing strawberry postharvest losses: Comparison with physical and chemical controls 探讨热带假丝酵母YDP-38对草莓采后损失的生物防治效果:与理化防治的比较
IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-11-08 DOI: 10.1016/j.foodcont.2025.111835
Deewakar Baral , Rudramadhab Behera , Sukram Thapa , Jayanta Saha , Ashok Kumar Koshariya , Shashikant Sharma , Aditi Kaushik , Sajeed Ali
Strawberries (Fragaria × ananassa) are highly perishable due to their soft texture and high moisture content, making them prone to rapid postharvest spoilage, primarily caused by fungal infections. Conventional management practices rely heavily on synthetic fungicides and physical methods, which raise issues related to resistance development, environmental hazards, consumer health risks, and cost-effectiveness. This study investigates the biocontrol efficacy of Candida tropicalis YDP-38, a yeast isolate obtained from Chinese cabbage, against key fungal pathogens of strawberries. Molecular characterization confirmed its identity with 99 % similarity to C. tropicalis (GenBank accession no. MT341912). In vitro dual culture assays demonstrated an average mycelial inhibition of 32.03 % against six common pathogens: Alternaria alternata, Botrytis cinerea, Aspergillus spp., Curvularia spp., Rhizopus stolonifer, and Colletotrichum gloeosporioides. The yeast also significantly suppressed conidial germination (>91 % in key pathogens) through nutrient competition and produced hydrolytic enzymes such as chitinase and β-1,3-glucanase, notably effective against B. cinerea and Aspergillus spp. The addition of sorbitol (10 %) combined with glycerol (2 %) and mannitol (5 %) in liquid formulations notably extended the viability of YDP-38, maintaining a stable population for up to 180 days. In vivo postharvest application significantly reduced disease incidence compared to standard chemical and physical treatments. While a slight reduction in ascorbic acid and anthocyanin content was observed, overall fruit quality, including acidity, remained acceptable. Scanning electron microscopy (SEM) indicated that additive mixtures induced morphological adaptations in the yeast, suggesting enhanced stress tolerance. These results highlight the potential of C. tropicalis YDP-38 as a promising and eco-friendly biocontrol agent for postharvest disease management in strawberries.
草莓(Fragaria x ananassa)质地柔软,水分含量高,因此极易变质,主要由真菌感染引起。传统的管理做法严重依赖于合成杀菌剂和物理方法,这引起了与耐药性发展、环境危害、消费者健康风险和成本效益有关的问题。研究了从大白菜中分离得到的热带念珠菌YDP-38对草莓主要真菌病原菌的生物防治效果。分子鉴定证实其与C. tropicalis (GenBank登录号:MT341912)。体外双培养实验表明,该菌丝体对6种常见病原菌的平均抑制率为32.03%,分别为:互交霉、灰霉病菌、曲霉、匍匐根霉和gloeosporioides。酵母还通过营养竞争显著抑制孢子萌发(在关键病原菌中占91%),并产生几丁质酶和β-1,3-葡聚糖酶等水解酶,对灰霉菌和曲霉菌有显著的抑制作用。在液体配方中添加山梨醇(10%)、甘油(2%)和甘露醇(5%),显著延长了YDP-38的生存能力,维持种群稳定达180天。与标准的化学和物理处理相比,采后体内施用显著降低了疾病发病率。虽然观察到抗坏血酸和花青素含量略有下降,但整体水果质量,包括酸度,仍然可以接受。扫描电镜(SEM)显示,添加剂混合物诱导酵母的形态适应,表明其抗逆性增强。这些结果突出了热带C. tropical alis YDP-38作为一种有前景的生态友好型生物防治剂在草莓采后病害管理中的潜力。
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引用次数: 0
A flexible dual-mode EC-SERS sensor of SPE/RGO/Au@Ag film for sensitively detecting thiram residues on fruit peels SPE/RGO/Au@Ag薄膜柔性双模EC-SERS传感器用于果皮上硫胺残留的灵敏检测
IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-11-06 DOI: 10.1016/j.foodcont.2025.111820
Xishun Peng , Zhongchen Bai , Caizhen Zu , Yuxue He , Qi Zhao
The presence of thiram residues on fruit peels posed a significant risk to human health. Here, we prepared an electrochemical surface-enhanced Raman spectroscopy (EC-SERS) sensor of SPE/RGO/Au@Ag flexible film to detect thiram residues on fruit peel. The surface of this film was evenly covered with Au@Ag nanoparticles, which allowed it to specifically identify thiram residues through the formation of Ag-S bond. In addition, an electrochemical method was used to modulate the energy level matching between the SERS film and the thiram molecules to improve the chemical enhancement effect of the SERS. The results indicated that the charge transfer degree between the SERS film and the thiram molecules was up to 0.875. The SPE/RGO/Au@Ag film achieved a limit of detection (LOD) of 2.1 pM at −1.3 V. Owing to its excellent SERS performance, the SPE/RGO/Au@Ag film could successfully recognize the thiram residues on apple and orange peels, with recoveries of 91 % to 107 % and 89 % to 102 %, respectively. The flexible EC-SERS sensor offers considerable promise for sensitively recognizing thiram residues on fruit peels.
水果果皮上的硫丹残留物对人类健康构成重大风险。在此,我们制备了一种SPE/RGO/Au@Ag柔性薄膜的电化学表面增强拉曼光谱(EC-SERS)传感器,用于检测果皮上的硫丹残留物。该膜表面均匀覆盖着Au@Ag纳米颗粒,通过Ag-S键的形成可以特异性识别thiram残基。此外,采用电化学方法调节SERS膜与thiram分子之间的能级匹配,以提高SERS的化学增强效果。结果表明,SERS膜与thiram分子之间的电荷转移度高达0.875。SPE/RGO/Au@Ag膜在−1.3 V下的检出限(LOD)为2.1 pM。由于其优异的SERS性能,SPE/RGO/Au@Ag膜可以成功识别苹果皮和橘子皮上的硫胺残留,回收率分别为91% ~ 107%和89% ~ 102%。柔性EC-SERS传感器为敏感识别果皮上的硫胺残留物提供了相当大的希望。
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引用次数: 0
Antibacterial effect of the endolysin LysMD10 combined with citric acid against Salmonella and its application for eggshells decontamination 内溶素LysMD10联合柠檬酸对沙门氏菌的抑菌效果及其在蛋壳去污中的应用
IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-11-06 DOI: 10.1016/j.foodcont.2025.111819
Hao Ding , Kaiyuan Huang , Tao Wang , Junjie Xu , Lichang Sun , Xinyi Zhang , Jiayuan Du , Xinxin Yang , Pengfei Gao , Bowen Liu , Hongduo Bao , Ran Wang , Maoda Pang , Kaizhou Xie
Salmonella is one of the major pathogenic bacteria that causes foodborne diseases worldwide. In this study, a novel endolysin, LysMD10, was identified and characterized from the Salmonella JY1408, with the aim of developing an efficient biocontrol strategy against Salmonella. Bioinformatics analysis revealed that LysMD10 is composed of 167 amino acids with a molecular weight of 18.2 kDa, and it is predicted to function by cleaving the β-1,4 glycosidic bond between N-acetylmuramic acid and N-acetylglucosamine in peptidoglycan. The LysMD10 protein was successfully recombinantly expressed via the P. pastoris expression system. When used in combination with the outer membrane permeabilizer citric acid, LysMD10 exhibited significant bactericidal activity against common foodborne pathogens such as Salmonella, Escherichia coli, Listeria monocytogenes, and Staphylococcus aureus. The combination of 4 μg/mL LysMD10 and 5 mM citric acid completely inhibited the growth of S. Enteritidis ATCC13076. Stability analysis indicated that LysMD10 maintained efficient bactericidal activity at pH 3–13, temperatures ranging from 4 °C to 85 °C, and NaCl concentrations ranging from 0 mM to 200 mM. Disinfection experiments on eggshell surfaces demonstrated that the combination of 4 μg/mL LysMD10 and 5 mM citric acid completely eliminated Salmonella contamination (≥7883 ± 828 CFU/egg) on the surface. The synergistic combination of LysMD10 and citric acid is expected to provide an efficient and safe solution for addressing Salmonella contamination issues. This study lays a foundation for the application of endolysin in controlling foodborne pathogens.
沙门氏菌是世界范围内引起食源性疾病的主要致病菌之一。本研究从沙门氏菌JY1408中鉴定并鉴定了一种新的内溶素LysMD10,旨在开发一种有效的沙门氏菌生物防治策略。生物信息学分析表明,LysMD10由167个氨基酸组成,分子量为18.2 kDa,预计其功能是切断肽聚糖中n -乙酰氨基与n -乙酰氨基葡萄糖之间的β-1,4糖苷键。通过巴斯德酵母表达系统成功地重组表达了LysMD10蛋白。当与外膜渗透剂柠檬酸联合使用时,LysMD10对常见的食源性病原体如沙门氏菌、大肠杆菌、单核细胞增生李斯特菌和金黄色葡萄球菌表现出显著的杀菌活性。4 μg/mL LysMD10与5 mM柠檬酸联合使用可完全抑制肠炎链球菌ATCC13076的生长。稳定性分析表明,LysMD10在pH 3 ~ 13、温度4℃~ 85℃、NaCl浓度0 mM ~ 200 mM范围内均能保持良好的杀菌活性。蛋壳表面消毒实验表明,4 μg/mL LysMD10与5 mM柠檬酸联合使用可完全消除蛋壳表面沙门氏菌污染(≥7883±828 CFU/鸡蛋)。LysMD10与柠檬酸的协同组合有望为解决沙门氏菌污染问题提供高效、安全的解决方案。本研究为内毒素在食源性病原菌控制中的应用奠定了基础。
{"title":"Antibacterial effect of the endolysin LysMD10 combined with citric acid against Salmonella and its application for eggshells decontamination","authors":"Hao Ding ,&nbsp;Kaiyuan Huang ,&nbsp;Tao Wang ,&nbsp;Junjie Xu ,&nbsp;Lichang Sun ,&nbsp;Xinyi Zhang ,&nbsp;Jiayuan Du ,&nbsp;Xinxin Yang ,&nbsp;Pengfei Gao ,&nbsp;Bowen Liu ,&nbsp;Hongduo Bao ,&nbsp;Ran Wang ,&nbsp;Maoda Pang ,&nbsp;Kaizhou Xie","doi":"10.1016/j.foodcont.2025.111819","DOIUrl":"10.1016/j.foodcont.2025.111819","url":null,"abstract":"<div><div><em>Salmonella</em> is one of the major pathogenic bacteria that causes foodborne diseases worldwide. In this study, a novel endolysin, LysMD10, was identified and characterized from the <em>Salmonella</em> JY1408, with the aim of developing an efficient biocontrol strategy against <em>Salmonella</em>. Bioinformatics analysis revealed that LysMD10 is composed of 167 amino acids with a molecular weight of 18.2 kDa, and it is predicted to function by cleaving the β-1,4 glycosidic bond between N-acetylmuramic acid and N-acetylglucosamine in peptidoglycan. The LysMD10 protein was successfully recombinantly expressed via the <em>P</em>. <em>pastoris</em> expression system. When used in combination with the outer membrane permeabilizer citric acid, LysMD10 exhibited significant bactericidal activity against common foodborne pathogens such as <em>Salmonella</em>, <em>Escherichia coli</em>, <em>Listeria monocytogenes</em>, and <em>Staphylococcus aureus</em>. The combination of 4 μg/mL LysMD10 and 5 mM citric acid completely inhibited the growth of <em>S</em>. Enteritidis ATCC13076. Stability analysis indicated that LysMD10 maintained efficient bactericidal activity at pH 3–13, temperatures ranging from 4 °C to 85 °C, and NaCl concentrations ranging from 0 mM to 200 mM. Disinfection experiments on eggshell surfaces demonstrated that the combination of 4 μg/mL LysMD10 and 5 mM citric acid completely eliminated <em>Salmonella</em> contamination (≥7883 ± 828 CFU/egg) on the surface. The synergistic combination of LysMD10 and citric acid is expected to provide an efficient and safe solution for addressing <em>Salmonella</em> contamination issues. This study lays a foundation for the application of endolysin in controlling foodborne pathogens.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"182 ","pages":"Article 111819"},"PeriodicalIF":6.3,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145527466","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
Experimental determination of pesticide processing factors in milk during soft cheese and ricotta cheese production 软质干酪和乳清干酪生产中乳中农药加工因素的实验测定
IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-11-06 DOI: 10.1016/j.foodcont.2025.111814
Patrizia Pelosi , Simona Rinaldi , Giuliano Palocci , Silvana Girolimetti , Valentina Picardo , Carmela Tripaldi , Graziella Amendola
Pesticide residues in milk and dairy products pose a potential health risk to consumers, especially when they persist or concentrate during processing. Applying Processing Factors (Pf) is essential to assess changes in residue levels through transformation steps. However, data on pesticide behaviour during dairy processing remain scarce.
This study investigated the fate of 41 pesticides during the artisanal transformation of raw cow's milk into pasteurised milk, curd, whey, soft cheese, ricotta cheese and scotta. The selected compounds, including organochlorines, organophosphates, pyrethroids, and others, were added to raw milk at 0.7–1.6 mg/kg (5–10 times the quantification limit) to ensure consistent detection throughout the process.
Residue analysis was performed using a validated QuEChERS method combined with GC- and LC-MS/MS. Pasteurisation at 65 °C for 20 min had a negligible impact on the residue levels (Pf ≈ 1). In contrast, curd and cheese showed a significant accumulation (Pf = 2.5–11.8), while residues in whey and scotta were much lower (Pf < 1); ricotta showed only slight accumulation (Pf = 0.03–2.9). No clear correlation emerged between Pf values and pesticide lipophilicity (log Ko/w), suggesting that physical entrapment, volatility, and processing conditions play a more decisive role. These findings emphasize the importance of minimizing pesticide contamination in raw milk, particularly for cheese production. Moreover, they demonstrate that Pf values cannot be reliably predicted based solely on compound lipophilicity. Further experimental studies are required to enlarge the knowledge of pesticides distribution among food matrices during the processing for an accurate risk assessment for the consumer.
牛奶和乳制品中的农药残留对消费者构成潜在的健康风险,特别是当它们在加工过程中持续存在或集中时。应用处理因子(Pf)对通过转化步骤评估残留水平的变化是必不可少的。然而,关于乳制品加工过程中农药行为的数据仍然很少。本研究调查了41种农药在将生牛奶手工转化为巴氏杀菌牛奶、凝乳、乳清、软奶酪、乳清干酪和苏格兰干酪过程中的命运。所选择的化合物,包括有机氯、有机磷、拟除虫菊酯等,以0.7-1.6 mg/kg(定量限的5-10倍)添加到原料奶中,以确保整个过程中的检测一致性。残留分析采用经过验证的QuEChERS方法,结合GC-和LC-MS/MS进行。65°C下20分钟的巴氏消毒对残留水平的影响可以忽略不计(Pf≈1)。相比之下,凝乳和奶酪显示出显著的积累(Pf = 2.5 ~ 11.8),而乳清和威士忌中的残留要低得多(Pf < 1);乳清干酪仅有轻微累积(Pf = 0.03-2.9)。Pf值与农药亲脂性(log Ko/w)之间没有明显的相关性,这表明物理夹持、挥发性和加工条件起着更决定性的作用。这些发现强调了尽量减少原料奶中农药污染的重要性,特别是在奶酪生产中。此外,他们还证明,仅根据化合物亲脂性不能可靠地预测Pf值。需要进一步的实验研究来扩大农药在加工过程中在食品基质中分布的知识,以便为消费者进行准确的风险评估。
{"title":"Experimental determination of pesticide processing factors in milk during soft cheese and ricotta cheese production","authors":"Patrizia Pelosi ,&nbsp;Simona Rinaldi ,&nbsp;Giuliano Palocci ,&nbsp;Silvana Girolimetti ,&nbsp;Valentina Picardo ,&nbsp;Carmela Tripaldi ,&nbsp;Graziella Amendola","doi":"10.1016/j.foodcont.2025.111814","DOIUrl":"10.1016/j.foodcont.2025.111814","url":null,"abstract":"<div><div>Pesticide residues in milk and dairy products pose a potential health risk to consumers, especially when they persist or concentrate during processing. Applying Processing Factors (P<em>f</em>) is essential to assess changes in residue levels through transformation steps. However, data on pesticide behaviour during dairy processing remain scarce.</div><div>This study investigated the fate of 41 pesticides during the artisanal transformation of raw cow's milk into pasteurised milk, curd, whey, soft cheese, ricotta cheese and <em>scotta</em>. The selected compounds, including organochlorines, organophosphates, pyrethroids, and others, were added to raw milk at 0.7–1.6 mg/kg (5–10 times the quantification limit) to ensure consistent detection throughout the process.</div><div>Residue analysis was performed using a validated QuEChERS method combined with GC- and LC-MS/MS. Pasteurisation at 65 °C for 20 min had a negligible impact on the residue levels (P<em>f</em> ≈ 1). In contrast, curd and cheese showed a significant accumulation (P<em>f</em> = 2.5–11.8), while residues in whey and <em>scotta</em> were much lower (P<em>f</em> &lt; 1); ricotta showed only slight accumulation (P<em>f</em> = 0.03–2.9). No clear correlation emerged between P<em>f</em> values and pesticide lipophilicity (log K<sub>o/w</sub>), suggesting that physical entrapment, volatility, and processing conditions play a more decisive role. These findings emphasize the importance of minimizing pesticide contamination in raw milk, particularly for cheese production. Moreover, they demonstrate that P<em>f</em> values cannot be reliably predicted based solely on compound lipophilicity. Further experimental studies are required to enlarge the knowledge of pesticides distribution among food matrices during the processing for an accurate risk assessment for the consumer.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"182 ","pages":"Article 111814"},"PeriodicalIF":6.3,"publicationDate":"2025-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145527468","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
Novel nanoemulsion delivery of acetic acid-(1H-Indole-3-Ethyl) ester enhances antifungal efficacy against Penicillium expansum and extends shelf-life in postharvest apple preservation 新型纳米乳醋酸-(1h -吲哚-3-乙基)酯增强了对扩张青霉的抗真菌作用,延长了苹果采后保鲜的保质期
IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-11-06 DOI: 10.1016/j.foodcont.2025.111818
Qinghua Gong , Zihan Zhang , Zhirong Wang , Shengqi Rao , Zhengquan Yang , Xiangfeng Zheng
Postharvest decay by Penicillium expansum causes major apple losses and mycotoxin risks. To overcome solubility limitations of the antifungal compound acetic acid-(1H-indole-3-ethyl) ester (AIE), a novel corn oil (10 % v/v)/sucrose fatty acid ester (2 % w/v) nanoemulsion (AIE-NE) was developed via ultrasonic emulsification. AIE-NE exhibited excellent stability: small droplet size (152 ± 2.35 nm), low PDI (0.217 ± 0.01), high zeta potential (−73 ± 2.89 mV), and high encapsulation efficiency. Characterization (FTIR, XRD, DSC, TGA) confirmed AIE encapsulation and amorphous dispersion. AIE-NE showed potent activity against P. expansum ZL (MIC = 0.375 g/L), significantly inhibiting mycelial growth in vitro. On inoculated apples, AIE-NE reduced lesions concentration-dependently. Incorporated into a chitosan coating (AIE-NE/CS), it effectively preserved apple quality during 28-day storage (25 °C), significantly reducing weight loss, decay, and browning while better maintaining firmness, soluble solids, titratable acidity, and ascorbic acid versus controls. AIE-NE is a highly effective nano-delivery system for controlling decay and enhancing apple shelf-life.
采后由扩张青霉引起的腐烂会造成苹果的重大损失和霉菌毒素风险。为克服抗真菌化合物乙酸-(1h -吲哚-3-乙基)酯(AIE)的溶解度限制,采用超声乳化法制备了一种新型玉米油(10% v/v)/蔗糖脂肪酸酯(2% w/v)纳米乳液(AIE- ne)。AIE-NE具有优良的稳定性:微滴尺寸小(152±2.35 nm), PDI低(0.217±0.01),zeta电位高(- 73±2.89 mV),封装效率高。表征(FTIR, XRD, DSC, TGA)证实了AIE的包封和非晶分散。AIE-NE对大肠杆菌ZL (MIC = 0.375 g/L)有较强的抑制作用,能显著抑制菌丝的生长。在接种过的苹果上,AIE-NE减少病变的浓度依赖。将其加入壳聚糖涂层(ae - ne /CS)中,在28天(25°C)的储存中有效地保持了苹果的品质,显著减少了苹果的失重、腐烂和褐变,同时与对照相比,更好地保持了苹果的硬度、可溶性固形物、可滴定酸度和抗坏血酸。AIE-NE是一种高效的纳米递送系统,用于控制苹果的腐烂和延长苹果的保质期。
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引用次数: 0
Quantitative determination for multiple indicators of lard using machine learning and Raman spectroscopy: A PCA-KNN-based framework with automated optimization of hyperparameters 利用机器学习和拉曼光谱定量测定猪油的多个指标:基于pca - knn的超参数自动优化框架
IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-11-05 DOI: 10.1016/j.foodcont.2025.111813
Zixin Ma , Zhuangwei Shi , Xiaohong Liang , Jianchen Zi , Chenhui Wang , Yongkun Luo , Hai Bi , Shi-Chen Su , Yunhao Su
Lard is a commonly used oil in food and animal feed industries, and the quality of lard is determined by measuring three key indicators, including acid value (AV), peroxide value (POV) and moisture rate (MR). Machine learning-based Raman spectroscopy has been applied for quantitative analysis of oil, yet the machine learning models require time-consuming search of optimal hyperparameters to be applied for the determination of multiple indicators. To this end, we propose a machine learning framework combining PCA and KNN for determining lard’s AV, POV and MR through Raman spectroscopy. On this basis, we propose an automated method for optimizing two key hyperparameters, i.e., dimension of PCA’s output features and number of KNN’s neighbors. PCA’s dimension is first determined by perpendicular line-based elbow point, then KNN’s neighbor number is found by greedy search. Cross validation on two datasets acquired by different spectrometers demonstrates that our proposed PCA-KNN framework finds the optimal hyperparameters and outperforms other models, achieving R2 at 0.914 and 0.859 for AV prediction of Dataset1 and Dataset 2 respectively, while the R2 of POV predictions achieved 0.967 and 0.932, and accuracy for discriminating lard samples with three different levels of MR (0.25%, 0.30%, 0.35%) achieved 0.946 and 0.910. The proposed framework demonstrates its superiority in experiments on multiple indicators and spectra from multiple spectrometers, revealing its potential for accurate quantitative and qualitative analysis of oil and other liquid food samples.
猪油是食品和动物饲料工业中常用的油脂,猪油的质量是通过测定酸值(AV)、过氧化值(POV)和含水率(MR)三个关键指标来确定的。基于机器学习的拉曼光谱已被应用于石油的定量分析,但机器学习模型需要花费大量时间来搜索用于确定多个指标的最佳超参数。为此,我们提出了一个结合PCA和KNN的机器学习框架,通过拉曼光谱来确定猪油的AV、POV和MR。在此基础上,我们提出了一种自动优化两个关键超参数的方法,即PCA的输出特征维数和KNN的邻居数。首先通过垂直线的弯头点确定主成分分析的维数,然后通过贪婪搜索找到KNN的邻居数。对不同光谱采集的两个数据集进行交叉验证,结果表明本文提出的PCA-KNN框架找到了最优超参数,优于其他模型,对Dataset1和Dataset 2的AV预测R2分别为0.914和0.859,对POV预测R2分别为0.967和0.932,对三种不同MR水平(0.25%、0.30%、0.35%)猪油样品的判别准确率分别为0.946和0.910。该框架在多指标、多光谱实验中表现出优越性,为油类和其他液态食品样品的准确定量和定性分析提供了可能。
{"title":"Quantitative determination for multiple indicators of lard using machine learning and Raman spectroscopy: A PCA-KNN-based framework with automated optimization of hyperparameters","authors":"Zixin Ma ,&nbsp;Zhuangwei Shi ,&nbsp;Xiaohong Liang ,&nbsp;Jianchen Zi ,&nbsp;Chenhui Wang ,&nbsp;Yongkun Luo ,&nbsp;Hai Bi ,&nbsp;Shi-Chen Su ,&nbsp;Yunhao Su","doi":"10.1016/j.foodcont.2025.111813","DOIUrl":"10.1016/j.foodcont.2025.111813","url":null,"abstract":"<div><div>Lard is a commonly used oil in food and animal feed industries, and the quality of lard is determined by measuring three key indicators, including acid value (AV), peroxide value (POV) and moisture rate (MR). Machine learning-based Raman spectroscopy has been applied for quantitative analysis of oil, yet the machine learning models require time-consuming search of optimal hyperparameters to be applied for the determination of multiple indicators. To this end, we propose a machine learning framework combining PCA and KNN for determining lard’s AV, POV and MR through Raman spectroscopy. On this basis, we propose an automated method for optimizing two key hyperparameters, i.e., dimension of PCA’s output features and number of KNN’s neighbors. PCA’s dimension is first determined by perpendicular line-based elbow point, then KNN’s neighbor number is found by greedy search. Cross validation on two datasets acquired by different spectrometers demonstrates that our proposed PCA-KNN framework finds the optimal hyperparameters and outperforms other models, achieving <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> at 0.914 and 0.859 for AV prediction of Dataset1 and Dataset 2 respectively, while the <span><math><msup><mrow><mi>R</mi></mrow><mrow><mn>2</mn></mrow></msup></math></span> of POV predictions achieved 0.967 and 0.932, and accuracy for discriminating lard samples with three different levels of MR (0.25%, 0.30%, 0.35%) achieved 0.946 and 0.910. The proposed framework demonstrates its superiority in experiments on multiple indicators and spectra from multiple spectrometers, revealing its potential for accurate quantitative and qualitative analysis of oil and other liquid food samples.</div></div>","PeriodicalId":319,"journal":{"name":"Food Control","volume":"182 ","pages":"Article 111813"},"PeriodicalIF":6.3,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145475315","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
Ready to eat, ready to risk? A retrospective evaluation of microbiological contamination and surveillance gaps in self-service meals in Bahia, Brazil 准备好吃饭了吗,准备好冒险了吗?对巴西巴伊亚州自助膳食中微生物污染和监测差距的回顾性评估
IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-11-04 DOI: 10.1016/j.foodcont.2025.111817
Joselene C.N. Nascimento , Danilo M. Vilas-Boas , Clícia C. Leite , Victor O. Martinez , Juliana R. Matos , Mariana N. Roselino , Cleber A. Schmidt , Wilson J.F. Lemos Junior , Anderson S. Sant’Ana , Alaíse G. Guimarães
This retrospective study evaluated the microbiological quality of ready-to-eat meals from self-service restaurants in Salvador and the surrounding mesoregion of Bahia, Brazil, over five years (2013–2017). A total of 5.146 food samples were analyzed, and 15.68 % did not comply with Brazilian sanitary standards. Results showed that 15.68 % of the samples did not comply with Brazilian sanitary standards. The highest rates of non-compliance were found in pasties and pâtés (57.14 %), mayonnaise-based salads (48.39 %), and mixed salads (38.11 %), most of which contained thermotolerant coliforms and Escherichia coli at counts ranging from 103 to 105 MPN/g, exceeding the limits established by Brazilian sanitary standards and indicating inadequate hygiene and cross-contamination during preparation. Other microorganisms identified in non-compliant samples included coagulase-positive staphylococci, Bacillus cereus, sulphite-reducing Clostridia, and Salmonella spp. These microorganisms were also reported in foodborne disease outbreaks during the same period. Data from the Brazilian surveillance system SINAN (Sistema de Informação de Agravos de Notificação, Ministry of Health) revealed 65 outbreaks, resulting in 1182 confirmed cases, 158 hospitalizations, and one death. However, 77 % of the outbreaks had no confirmed food source, and only 14 % had an identified etiological agent, revealing significant gaps in outbreak investigations. The overlap between the microorganisms found in rejected food samples and those reported in outbreaks underscores a public health concern. These findings highlight the urgent need for improved food safety practices in restaurant settings and more effective public health surveillance. Supporting local laboratories and strengthening outbreak investigations are key steps to ensure safer meals and reduce the risk of foodborne diseases in the region.
这项回顾性研究评估了萨尔瓦多和巴西巴伊亚周边中地区自助餐厅的即食食品的微生物质量,为期五年(2013-2017年)。共分析了5.146份食品样品,其中15.68%不符合巴西卫生标准。结果显示,15.68%的样品不符合巴西卫生标准。不合规率最高的是馅饼和馅饼(57.14%)、蛋黄酱沙拉(48.39%)和混合沙拉(38.11%),其中大多数含有耐热大菌群和大肠杆菌,数量在103至105 MPN/g之间,超过了巴西卫生标准规定的限值,表明制备过程中卫生条件不佳和交叉污染。在不符合标准的样品中发现的其他微生物包括凝固酶阳性葡萄球菌、蜡样芽孢杆菌、亚硫酸盐还原梭菌和沙门氏菌,这些微生物在同一时期的食源性疾病暴发中也有报道。来自巴西卫生部SINAN监测系统(Sistema de informa o de Agravos de notifica o)的数据显示有65次暴发,导致1182例确诊病例,158例住院治疗,1例死亡。然而,77%的疫情没有确定的食物来源,只有14%的疫情有确定的病原,这表明疫情调查存在重大差距。在拒收食品样品中发现的微生物与疫情中报告的微生物之间的重叠突出了一个公共卫生问题。这些发现突出了改善餐馆食品安全措施和更有效的公共卫生监测的迫切需要。支持地方实验室和加强疫情调查是确保该区域更安全膳食和减少食源性疾病风险的关键步骤。
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引用次数: 0
Thermocapillary convection-driven microfluidic electrochemical sensing system for the detection of lead ions in water and food samples 热毛细管对流驱动微流控电化学传感系统用于水和食品样品中铅离子的检测
IF 6.3 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Pub Date : 2025-11-04 DOI: 10.1016/j.foodcont.2025.111812
Shangshang Ma , Qing Zhang , Wei Zhao , Xin Zhuo , Cong Wang , Dingkai Wang , Qiqi Liu
The growing issue of heavy metal pollution is posing an escalating threat to food safety and public health. Therefore, the development of efficient, sensitive, rapid and cost-effective technology for detecting heavy metal ions is extremely urgent and necessary for food quality, food safety and human health. To cater to the need for swift on-site testing, a microfluidic device with a thermal medium flow channel was designed and fabricated by 3D printing technology, which was connected to portable electrochemical workstation and smartphone to form a microfluidic electrochemical sensing system used for detecting heavy metal ions (taking Pb2+ as an example). Meanwhile, the 3D Au NPs/MXene fibers with great conductivity, large specific surface area and multiple electroactive sites was prepared as a sensing interface to provide efficient pathways for electrons and ions transport. And the temperature gradient field induced electrolyte thermocapillary convection to accelerate the migration and enrichment of Pb2+, which reduced detection time. The sensor demonstrated a low detection limit of 0.0174 μg L−1 and a wide linear detection range of 0.1–1100 μg L−1 for detecting Pb2+. Moreover, the portability of the sensor facilitated Pb2+ detection in real samples, and the test results exhibited good consistency with that of ICP-MS. The microfluidic electrochemical sensing system utilized temperature gradient field to induce thermocapillary convection, promoting electrolyte flow, achieving rapid mass transfer on the electrode interface and increasing the efficiency of the sensor, which provided an effective path for rapid on-site detection of heavy metal ions in the field of food safety and public health.
重金属污染问题日益严重,对食品安全和公众健康构成日益严重的威胁。因此,开发高效、灵敏、快速、低成本的重金属离子检测技术对食品质量、食品安全和人类健康至关重要。为满足现场快速检测的需要,采用3D打印技术设计并制作了带有热介质通道的微流控装置,将其与便携式电化学工作站和智能手机连接,形成用于检测重金属离子(以Pb2+为例)的微流控电化学传感系统。同时,制备了具有高导电性、大比表面积和多电活性位点的3D Au NPs/MXene纤维作为传感界面,为电子和离子的传递提供了有效的途径。温度梯度场诱导电解质热毛细管对流加速Pb2+的迁移和富集,缩短了检测时间。该传感器对Pb2+的检测限为0.0174 μg L−1,线性检测范围为0.1 ~ 1100 μg L−1。此外,该传感器的便携性便于在实际样品中检测Pb2+,且检测结果与ICP-MS具有较好的一致性。微流控电化学传感系统利用温度梯度场诱导热毛细对流,促进电解质流动,实现电极界面快速传质,提高传感器效率,为食品安全和公共卫生领域重金属离子的快速现场检测提供了有效途径。
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引用次数: 0
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Food Control
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