The Fluorescence Immunochromatographic Strips for Natamycin and Its Application in Food Safety Detection

A fluorescence immunochromatographic strip was developed in this study for natamycin detection in food. The results showed that the best amount of labeled antibody was 10 μg, for every 50 μl of fluorescent microspheres with a 2.5%(w/v) concentration. This labeled antibody was diluted for 10 times, and the diluted solution was dispensed into conjugate pad at the amount of 3 μl/cm. The concentrations of natamycin labeled BSA for test line and goat anti-mouse IgG for control line were 2.0 and 1 mg/ml, respectively, which performed best. With the best conditions, the limit of detection was 1 ng/ml, the linearity ranged from 2 to 100 ng/ml, the recovery was about 80% to 120%, and the CV was below 23%.

LIMS在食品检验实验室质量控制中的作用探究

食品安全是事关民生的政治任务,对于保证人们的身心健康至关重要。科学、准确、便捷、高效的检验举措一直是食品检验人员追求的目标,将信息化管理系统引入食品检验,可以实现食品检验的全过程管理、全过程溯源,提高了检验能力和检验效率。然而在食品检验过程中,影响检验质量的因素众多,本文分析了检验检测实验室信息管理系统(Laboratory Information Management System,LIMS)在食品检验质量控制方面影响的关键因素,如检验过程合规性、实验室资源的可用性和有效性、检验人员的水平和素质等内容。LIMS的应用能够在较大程度上规范业务流程、保证实验室资源有效,为输出可靠的检验结果提供质量保证。

Personal glucose meters coupled with signal amplification technologies for quantitative detection of non-glucose targets:Recent progress and challenges in food safety hazards analysis

Ensuring food safety is paramount worldwide.Developing effective detection methods to ensure food safety can be challenging owing to trace hazards,long detection time,and resource-poor sites,in addition to the matrix effects of food.Personal glucose meter(PGM),a classic point-of-care testing device,possesses unique application advantages,demonstrating promise in food safety.Currently,many studies have used PGM-based biosensors and signal amplification technologies to achieve sensitive and specific detection of food hazards.Signal amplification technologies have the potential to greatly improve the analytical performance and integration of PGMs with biosensors,which is crucial for solving the challenges associated with the use of PGMs for food safety analysis.This review introduces the basic detection principle of a PGM-based sensing strategy,which consists of three key factors:target recognition,signal transduction,and signal output.Representative studies of existing PGM-based sensing strategies combined with various signal amplification technologies(nanomaterial-loaded multienzyme labeling,nucleic acid reaction,DNAzyme catalysis,responsive nanomaterial encapsulation,and others)in the field of food safety detection are reviewed.Future perspectives and potential opportunities and challenges associated with PGMs in the field of food safety are discussed.Despite the need for complex sample preparation and the lack of standardization in the field,using PGMs in combination with signal amplification technology shows promise as a rapid and cost-effective method for food safety hazard analysis.

LIMS、SDMS系统在食品安全检测中的应用比较

本文主要阐述了实验室信息管理系统(LIMS)、科学数据管理系统(SDMS)两大系统在食品安全检测中的应用。本文以LIMS、SDMS两大系统为重点研究对象,比较了LIMS、SDMS两大系统的共性、特点和优势,并通过研究将LIMS与SDMS系统两者进行对接,建立了高效的实验室数据管理系统,以期提高食品安全的检测效率,为实现科学、高效的实验室管理模式提供支持。

Food Safety Detection Methods Applied to National Special Rectification of Product Quality and Food Safety

Afour-month period of national special rectification for product quality and food safety officially started on August 25, and was focused on eight fields, including those of agricultural products and processed foods.……

Methods to detect a vian influenza virus for food safety surveillance

Avian influenza （AI）, caused by the influenza A virus, has been a global concern for public health. AI outbreaks not only impact the poultry production, but also give rise to a risk in food safety caused by viral contamination of poultry products in the food supply chain. Distinctions in AI outbreak between strains H5N1 and H7N9 indicate that early detection of the AI virus in poultry is crucial for the effective warning and control of AI to ensure food safety. Therefore, the establishment of a poultry surveillance system for food safety by early detection is urgent and critical. In this article, methods to detect AI virus, including current methods recommended by the World Health Organization （WHO） and the World Organisation for Animal Health （Office International des Epizooties, OIE） and novel techniques not commonly used or commercialized are reviewed and evaluated for feasibility of use in the poultry surveillance system. Conventional methods usually applied for the purpose of AI diagnosis face some practical challenges to establishing a comprehensive poultry surveillance program in the poultry supply chain. Diverse development of new technologies can meet the specific requirements of AI virus detection in various stages or scenarios throughout the poultry supply chain where onsite, rapid and ultrasensitive methods are emphasized. Systematic approaches or integrated methods ought to be employed according to the application scenarios at every stage of the poultry supply chain to prevent AI outbreaks.

Colloidal Gold Test Strip for the Detection of Fluoroquinolones in Foods Using an Analyzer

A test strip was developed to rapidly detect fluoroquinolones in foods by colloidal gold immunochromatography method in combination with a food safety analyzer. The results showed that the test strip has the detection sensitivity of 20 μg/L for enrofloxacin, sarafloxacin, difloxacin, ofloxacin, norfloxacin, ciprofloxacin, pefloxacin, flumequine and danofloxacin, and the detection sensitivity of 40 μg/L for enoxacin and oxolinic acid. The test strip consumes only 10 min for detection, and the false positive rate and the false negative rate are both zero. The test strip can accurately, reliably and easily detect residual fluoroquinolones in foods, and is suitable for on-site detection of a large number of samples.

Food Safety & Standards

An increasing number of people have realized that food safety is an important issue for public health. It not only concerns public health and safety, but also has direct influence on national economic progress and social development. The development and implementation of food safety standards play a vital role in protecting public health, as well as in standardizing and facilitating the sound development of food production and business. After China became a WTO member, food safety standards, which have been indicated by Application Agreement of Sanitary and Phtosanitory Measurements (SPS Agreement) of WTO as the sanitary measurement for food import and export, have a special and great influence on Chinese food industry and trade. The development and revision of food safety standards have drawn great concerns from all stakeholders including the government, food industries and consumers.

Filtration assisted pretreatment for rapid enrichment and accurate detection of Salmonella in vegetables

Rapid detection of target foodborne pathogens plays more and more significant roles in food safety,which requires the efficiency,sensitivity,and accuracy.In this research,we proposed a new st rategy of isothermal-molecular-amplification integrated with lateral-flow-strip for rapid detection of Salmonella without traditional enrichment-culture.Th e designed syringe-assisted-filtration can contribute to simultaneous collection and concentration of target bacterium from vegetable samples in just 3 min,resolving the drawbacks of traditional random sampling protocols.After simple and convenient ultrasonication,samples can be directly amplified at 39℃ in 25 min and the amplicons are qualitatively and quantitatively analyzed with the designed lateral-flow-strip in 5 min.Finally,satisfied results have been achieved within 40 min,which greatly improve the efficiency while the accuracy is also guaranteed.Furthermore,all detection steps can be completed under instrument-free conditions.This method will hold great promise for target pathogen detection in the resource-limited district,or for emergency on-site identification.

应用于食品检测领域的分子即时检测技术研究进展

食品安全问题关系人类民生。为有效预防和控制食品安全风险,减少食品安全经济损失,迫切需要开发出针对食源性病原体、食物掺假、转基因作物的高特异性、高敏感性、快速的核酸检测技术。即时检测(point-of-care testing,POCT)作为一种新兴的快速检测手段,由于其检测速度快、操作简单、现场检查等特点,在食品检测领域应用广泛。本文首先介绍了POCT技术的发展历史,而后根据食品安全事件的特点,从食源性致病菌、食物掺假、转基因作物3个方向分析了食品检测的主要对象,阐述了分子POCT技术在食品检测领域的应用现状,最后对应用于食品检测领域的分子POCT技术存在的问题和解决办法进行了分析总结,对食品检测分子POCT技术的发展方向进行了展望。本文有助于进一步了解分子POCT技术在食品检测中的应用,并为分子POCT技术在食品快速检测中的研究和应用提供参考。

太赫兹光谱技术在食品污染检测中的研究进展

随着新的食品加工技术及新型食品材料的不断涌现,食品污染问题也越来越多,国际食品安全事件频繁爆发,食品污染造成的食源性疾病对人民生命健康造成严重威胁,如何把控好食品质量成为人们关注的焦点问题。太赫兹技术作为一项新兴的检测技术,其反映样品的物理结构、性质及化学成分的同时,也获取样品在太赫兹波段的时域和频域信息作为物质“指纹”谱,用于无损检测和识别领域并取得了一定的成果。相较于传统的检测手段,太赫兹技术安全性高、透视性好以及波谱分辨能力强等优势使其在食品污染检测领域具有极大的应用潜力和应用前景。文章简述了太赫兹光谱技术的基本原理,以其中最为常用的太赫兹时域光谱技术为主要研究重点,对该技术在食品生物性污染、化学性污染、物理性污染检测方面的应用研究工作进行了重点归纳总结,最后聚焦于太赫兹技术在食品污染检测领域的实际应用现状,讨论其发展趋势和应用前景,并分析目前研究仍存在的问题,以期为太赫兹技术在食品安全检测领域未来的进一步发展提供参考。

金纳米颗粒修饰分子印迹电化学传感器快速检测蔬菜中吡虫啉含量

目的将分子印迹技术、电化学技术和纳米颗粒修饰技术相结合,开发蔬菜中吡虫啉的快速检测技术。方法采用金纳米颗粒修饰玻碳电极提高其电子转移速率,通过分子印迹技术在电极表面聚合膜材料制备电化学传感器,利用循环伏安法和差分脉冲法表征传感器性能,基于传感器对目标农药分子的特异性吸附建立农药快速检测方法。结果以吡虫啉为模板分子,邻苯二胺为功能单体,基于金纳米颗粒修饰的玻碳电极构建了一种吡虫啉分子印迹电化学传感器,该传感器可实现对吡虫啉的特异性识别检测,在1.0×10^(–11)~1.0×10^(–4)mol/L浓度范围内,吡虫啉线性关系良好,相关系数为0.9951,检出限为3.3×10^(–12)mol/L,小白菜样品加标回收率为91.86%~102.25%,相对标准偏差为1.98%~3.19%。结论本研究制备的传感器具有优良的选择性、重复性和稳定性,适用于蔬菜中吡虫啉的快速检测,为当前农残速测产品的开发提供了参考。

微生物快速检测技术在食品安全检测中的应用

在食品安全领域,微生物检测是确保食品质量和消费者健康的关键环节。随着食品工业的快速发展和消费者对食品安全要求的提高,传统的微生物检测方法已难以满足现代食品安全检测的要求。因此,快速检测技术成为了食品微生物检测领域的重要发展趋势。微生物快速检测技术因操作简便、检测速度快、灵敏度高和准确性好等特点在食品安全检测中表现出了巨大的应用潜力。文章对微生物快速检测技术在食品安全检测中的应用展开探讨,以期为相关人员提供参考。

食品危害因子检测与安全风险预测研究进展

食品危害因子检测与安全风险预测作为食品质量管理的重要环节,一直是学者高度关注的热点问题。为了今后更好地开展相关工作,本文首先回顾了常规食品危害因子检测方法的研究进展;同时介绍了如纳米酶、成簇的间隔短回文重复序列(clustered regularly interspaced short palindromic repeats,CRISPR)及其相关蛋白(CRISPRassociated protein,Cas)组成的CRISPR/Cas系统传感器、核磁共振等新型食品危害因子检测方法以及磁性共价有机骨架等新型材料在该领域的应用;然后对主观赋权评价、机器学习及深度学习等方法在食品安全风险预测中的应用进行了阐述;最后对各方法的优缺点作了对比分析,并探讨了未来的研究方向。

Trends of Laboratory-Detected Heavy Metals in Children: Solutions for Heavy Metal Contamination in Infant Food Products

In 2019, an investigation by the U.S. House of Representatives revealed major infant food conglomerates had products with high levels of arsenic, lead, cadmium, and mercury, posing concerns for infants’ vulnerability to the neurotoxic effects of these metals. Trends of laboratory-detected heavy metals were analyzed in children aged zero to five from 1999-2020, providing insights on heavy metal contamination in infant food products. Utilizing National Health and Nutrition Examination Survey (NHANES) data, mean heavy metal levels in children were calculated, considering gender, race, and income-to-poverty ratio as proxies for assessing associations with increasing heavy metal rates in infant food. Findings indicated an overall decrease in mean concentrations over time, though remaining elevated. Black children exhibited higher lead levels than the overall average, while the Asian subgroup displayed higher levels of total blood mercury and cadmium levels. Lack of internal standards in regulatory bodies, particularly the FDA, exacerbates the issue, with no legally enforceable guidelines or strict maximum levels for heavy metals in infant foods. Urgent FDA interventions are needed, addressing contamination at the sources of raw materials, implementing transparent and extensive product testing, and comprehensive manufacturer labeling to inform consumers about elevated heavy metal levels in infant products.

项目驱动教学法在“食品安全检测技术”课程实践教学中的应用研究

“食品安全检测技术”课程是高校食品质量与安全专业的专业主干课程之一,该课程的学习对于学生的就业及食品行业的发展具有重要意义。以项目驱动教学法在“食品安全检测技术”课程实践教学中的应用研究为基础,对此种教学方法的项目设计、项目实施和考核方式改革进行了初步探索,最大限度地提高了学生在该课程实践教学中的参与度和积极性,为项目驱动教学法在该专业其他专业主干课程实践教学中的广泛应用提供了参考。

美拉德反应对食品品质与安全的影响及其产物检测研究进展

对美拉德反应及其产物在食品加工过程中的多重影响进行梳理,探讨其对食品品质与安全的影响,并对典型的创新性反应产物检测技术进行综述,指出:该反应既能生成导致食品体系发生褐变的棕色聚合物(如5-羟甲基糠醛)或含氮共聚物(类黑素),还能产生显著影响食品风味的物质(如酮类、醛类、烷基化合物等);该反应不但可以改变食品的结构特性(如降低蛋白质的荧光强度和表面疏水性),而且能生成具有特定功能的载体(如乳液凝胶功能载体)。该反应在生成抗氧化产物和消除食物中的过敏原方面具有积极作用,然而,也可能生成高级糖基化终产物、丙烯酰胺、杂环胺、5-羟甲基糠醛等潜在有害物质。目前,美拉德反应产物的主要检测技术包括光谱法、色谱法、荧光化合物表征法等,而荧光化合物作为美拉德反应中的重要中间产物,可被应用于构建荧光探针,实现对美拉德反应的实时监测。未来应深入研究有害物质的形成机制及其影响因素,或进一步优化这些检测方法的精确度和效率,为食品加工技术的持续发展提供更加全面的理论支持。

市售餐饮自制发酵乳卫生质量状况调查分析——以扬州市为例

以扬州市餐饮环节抽取的餐饮自制发酵乳为研究对象,采用国家标准方法对其卫生指标进行检测,并运用基质辅助激光解吸电离飞行时间质谱法、分子生物学方法和传统形态学方法对污染微生物指标不合格产品中的污染菌进行分离纯化和鉴定。结果表明:25批次餐饮自制发酵乳的产品不合格率为36%,不合格项目均为微生物指标,其中大肠菌群不合格率为20%、霉菌计数不合格率为8%、酵母计数不合格率为32%。不合格样品的大肠菌群阳性菌株中包含了肺炎克雷伯菌、阴沟肠杆菌等多种条件致病菌;不合格样品的霉菌和酵母菌以曲霉属、青霉属、念珠菌属等发酵乳中常见的污染菌为主。调查表明:餐饮企业应重视加工制作过程中的微生物污染问题,监管部门应制定和实施有针对性的餐饮食品抽检计划,同时加强对餐饮自制发酵乳的食品安全监管。

碳点在荧光检测领域的研究进展

荧光碳点传感器在环境、食品和生物样品的快速检测方面获得了广泛的关注。综述了碳点在该领域的研究进展,包括碳点荧光特性、发光机制、荧光响应机制及构建荧光传感器的策略。以农药为例,介绍了酶、抗体、适配体和分子印迹聚合物等主要传感器识别单元,为快速灵敏检测提供了极大的可能。除了将这些新兴传感器与其他策略进行性能比较之外,还讨论了实际传感器设计中存在的局限和面临的挑战,最后探讨了荧光碳点传感器的前景。

MNTH-YOLOv8:一种用于食品包装中蚊虫高效检测的深度学习方法

食品安全一直是社会关注的焦点,而在食品包装印刷生产过程中,蚊虫的夹杂会对食品安全构成威胁。针对食品包装质检过程中蚊虫检测仍是人工筛查的现状,以及蚊虫目标尺寸小、所处背景复杂的特点,提出了一种基于深度学习的全自动MNTH-YOLOv8检测方法。该方法是在YOLOv8强大的目标检测功能基础上,结合通道特征部分卷积模块、SimAM注意力机制和改进的特征融合模块,并以CIoU与归一化Wasserstein距离作为定位回归损失函数的优化模型。对真实数据集的检测结果表明,MNTH-YOLOv8表现出显著优势,不仅有效提高了小目标蚊虫的检测精度,还在保持检测速度的前提下减少了参数量。MNTH-YOLOv8在食品包装中蚊虫的实时检测应用上拥有广阔前景。