Design and Research of High-throughput Automation System for Food Testing Laboratory

In the process of food testing,human operation is an important variable affecting the experimental results.In order to reasonably avoid the influence of human subjective operation behavior on the accuracy of detection results,the laboratory information management system was used as the information platform to design a high-throughput laboratory automation pre-treatment system based on the deep integration of mechanical principles,visual analysis,high-speed conduction,intelligent storage and other technical systems.The experimental results showed that the system could shorten the sample circulation cycle,effectively improve the laboratory biosafety,and meet the requirements of high-throughput processing of samples.

Improving quality of life in self-reported gastrointestinal disorders: An open trial of a food elimination diet guided by the ImmunoBloodprint food sensitivity test

Purpose: Irritable bowel syndrome (IBS) and gastrointestinal (GI) disorders are genuine health problems that have serious consequences on a patient’s quality of life (QoL). IBS is a functional disorder characterized by chronically recurring symptoms, including abdominal pain or discomfort, altered stool frequency and consistency, and abdominal bloating in the absence of structural or biochemical abnormalities. Studies have indicated that symptoms and disability related to IBS and GI disorders correlate with QoL measures. Additionally, those who respond to therapy have an improvement in QoL. Therefore, we explored an open trial of a food elimination diet guided by the ImmunoBloodprint food sensitivity test and its effect on QoL in patients self-reporting an unresolved GI disorder. Methods: Eighty-four subjects aged 18 and above participated in the study. Subjects eliminated all IgG-mediated reactive foods from their diet for 90 days. QoL was assessed with the Irritable Bowel Syndrome-36 (IBS-36) and the Medical Outcomes Study Short Form-36 (SF-36) at baseline and 30-, 60-, and 90-day follow-up. The data were analyzed with linear mixed models. Results: Subjects had statistically significant improvements in all indicators of QoL according to the IBS-36 and SF-36 from baseline to 90- day follow-up. Conclusions: Subjects with unresolved self-reported GI disorders were able to improve all indicators of QoL in response to eliminating IgG- reactive foods from the diet. Given the inconvenience of keeping track of foods and symptoms to eliminate intolerant foods, a food sensitivity test combined with an elimination diet may be an effective method for improving subjective markers of QoL and health.

Rapid testing methods for food contaminants and toxicants

Food safety is one of the major concerns in every country regardless of the economic and social development. The frequent occurrence of food scandals in the world has led the Chinese government to implement several strategies to fortify the food supply system to a high food safety standard. This relies heavily on laboratory testing services but conventional methods for detection of food contaminants and toxicants are limited by sophisticated sample preparation procedures, long analysis time, large instruments and professional personnel to meet the increasing demands. In this review, we have incorporated most of the current and potential rapid detection methods for many notorious food contaminants and toxicants including microbial agents, toxic ions, pesticides, veterinary drugs and preservatives, as well as detection of genetically modified food genes and adulterated edible oil. Development of rapid, accurate, easy-to-use and affordable testing methods could urge food handlers and the public to actively screen for food contaminants and toxicants instead of passively relying on monitoring by the government examination facility. This review also provides several recommendations including how to encourage the public to engage in the food safety management system and provide optimal education and financial assistance that may improve the current Chinese food safety control system.

Mode Innovation of School-Enterprise Cooperation on Food Safety Testing Laboratory Reform

In view of the difficulties about school-enterprise cooperation on food safety testing laboratory reform,the current training program,teaching methods and teaching forms are not suitable for the new platform.This paper provides new ideas and modes to solve these problems,such as integrating the resource elements between school and enterprise,establishing new platforms with the help of external force and innovating the cooperation modes to improve the laboratory,which can fully serve teaching,scientific research and enterprise production.

Measurement of the Potassium Content of Different Food Samples with High Purity Germanium Detectors

Measurements of the potassium content of samples of food, performed with High Purity Germanium detectors, are presented in this paper. The potassium content was measured by identifying the 1460 keV photons produced in the decay of the isotope 40K. Samples were selected, for which a high potassium content was expected. The measurements confirmed the expectations qualitatively, but not always quantitatively. Especially the expected dependence of the potassium content of chocolate on the listed percentage of cacao could not be confirmed.

Feasibility Study for Applying Spectral Imaging for Wheat Grain Authenticity Testing in Pasta

Authentication of pasta is currently determined using molecular biology-based techniques focusing on DNA as the target analyte. Whilst proven to be effective, these approaches can be criticised as being destructive, time consuming, and requiring specialist instrument training. Advances in the field of multispectral imaging (MSI) and hyperspectral imaging (HSI) have facilitated the development of compact imaging platforms with the capability to rapidly differentiate a range of materials (inclusive of grains and seeds) based on surface colour, texture and chemical composition. This preliminary investigation evaluated the applicability of spectral imaging for identification and quantitation of durum wheat grain samples in relation to pasta authenticity. MSI and HSI were capable of rapidly distinguishing between durum wheat and adulterant common wheat cultivars and assigning percentage adulteration levels characterised by low biases and good repeatability estimates. The results demonstrated the potential for spectral imaging based seed/grain adulteration testing to augment existing standard molecular approaches for food authenticity testing.

电化学技术在食品检测中的应用研究进展

电化学技术利用待测物质发生反应产生的电化学信号实现其检测,因其操作简单、成本低、精密度及灵敏度高等优点在食品检测分析中的应用备受关注,并取得了许多研究进展。本文从电化学检测方法、类型、基本原理和在食品检测领域的研究现状方面进行了综述和分析,并对其应用发展前景进行展望,为促进电化学技术在食品检测分析领域的应用提供参考,以满足食品快速检测分析的发展需求。

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。

A pilot study eliminating immunologically-reactive foods from the diet and its effect on symptomatology and quality of life in persons with chronic migraines and headaches

Purpose: Chronic migraines and headaches are significant public health problems, and their symptomatologies have been positively linked to diet. We explored if individuals suffering from chronic migraines/ headaches who required medication treatment had improvement in symptomatology and subjective ratings of QoL when following an immune-reactive food exclusion diet based on the results of the ImmunoBloodprint test, an IgG-mediated food sensitivity assay. Methods: Thirty-seven subjects, aged 18 and over, took part in the study. Subjects had to eliminate all reactive foods from their diet for 90 days. Migraine intensity and frequency were measured using the MTAQ, and QoL was assessed with the SF-36 survey at base- line and 30-, 60-, and 90-day follow-up. Results: Sub- jects who eliminated IgG-mediated reactive foods from their diet had reductions in migraine symptomatology and had improvements in nearly all indicators of QoL, according to the SF-36, from baseline to 90-day follow-up. Conclusions: Subjects were able to improve their migraine symptoms and QoL in response to eliminating IgG reactive foods from the diet. This test may represent a strategy to help mediate chronic migraine symptomatology without the use of medication.

食品检测中近红外光谱分析技术的应用研究

为了实现对食品成分、品质等方面的准确检测,为食品安全监管和质量控制提供有效的技术支持,引入近红外光谱分析技术,开展了该项技术在食品检测中的应用研究。通过样品制备、选择光谱采集设备、设置采集参数,采集食品近红外光谱,引入标准正态变量变换算法和自适应滤波算法,预处理采集的光谱数据,基于预处理后的数据,结合主成分分析法,构建食品成分特征与近红外光谱数据之间的数学模型,实现近红外光谱分析技术在食品检测的应用设计。实验结果表明,提出的研究应用后,食品成分检测结果与真实值更加接近,检测均方根误差较小,食品检测的准确性得到了显著提升。

2020—2023年山东省泰安市豆腐中重金属含量调查分析

目的:了解山东省泰安市豆腐中重金属含量,为预防控制重金属的急慢性中毒提供科学依据。方法:采用电感耦合等离子体质谱法检测2020—2023年山东省泰安市480份豆腐中6种元素含量,分析不同元素含量水平和趋势。结果:480份豆腐中均检出了一种或多种元素,但超标率相对较低,为8.54%(41/480)。不同年份、不同采样点之间各元素的超标率差异均无统计学意义(P>0.05)。不同种类豆腐之间各元素的超标率差异具有统计学意义(P<0.05),卤水豆腐和石膏豆腐超标率高于酸浆豆腐和内酯豆腐。不同元素的检出率和超标率有明显差别,铅和镉的检出率和超标率高于其他4种元素。结论:2020—2023年泰安市市售豆腐中,卤水豆腐和石膏豆腐中铅和镉的超标率较高。

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。

高职“食品理化检验技术”课程思政建设研究

“课程思政”作为一种新兴的教学理念成为近年来高校课程改革的热点。针对“食品理化检验技术”课程建设中存在的问题,结合课程特点和食品检测岗位职业素养需求,从提升专业课教师思政意识和育人能力、课程思政元素的挖掘与融入、课程思政教学融合信息技术及课程思政评价四个方面阐述“食品理化检验技术”课程思政的实施途径,以此发挥专业课堂教学协同育人的作用,实现价值塑造、知识传授和能力培养三者相融,落实立德树人的根本任务,为更多的职业院校开展同类课程教学改革提供建议和参考。

浅析食品微生物检验技术在食品安全中的应用

随着分子生物学、生物信息学和纳米技术等现代科技的发展,食品微生物检验技术正朝着更高的灵敏度、更快的检测速度迅速发展,大幅提高了食品安全监管的效率,为食品工业的可持续发展提供了技术支撑。基于此,本文分析了食品微生物检验技术在食品安全中的应用,以供参考。

食品检验检测中样品管理和控制存在的问题及对策

规范食品检验检测流程,加强样品管理和控制,不仅能够保证检测结果的准确性和可靠性,还有助于提高食品安全监管的效率和水平。食品安全问题一直是社会关注的焦点,食品检验检测作为食品安全监管的关键技术手段,其结果的准确性和可靠性至关重要。本文在分析样品选择、样品保存、检测设备及方法、样品污染和样品追溯性等问题的基础上,提出针对性的解决对策,旨在提高检验检测结果可信度,守护民众饮食安全。

食物过敏诊断过程中存在问题及对策

由于发病机制复杂、临床表现多样化,且缺乏特异性生物标志物,使得食物过敏的诊断极具挑战性。口服食物激发试验是确诊食物过敏的金标准。食物过敏的规范诊治需要临床医生理解过敏相关的基础知识,便于正确选择诊断方法并合理解释检查结果。

食品中菌落总数的测定分析

随着我国社会经济的持续发展,国民的物质生活水平显著提升,对食品安全的关注度也日益提高。在此背景下,相关职能部门越来越重视食品中微生物的检测,并将食品中菌落总数测定确立为一项强制性任务,以保障公众的食品安全。对此,文章首先阐述了菌落总数测定的定义和方法,然后分析了食品菌落总数测定中常见的问题,并探讨了主要的测定思路及质量控制措施,以期为保障食品中菌落总数测定工作的顺利开展提供有益参考。

机器学习与计算机视觉技术在食品质量评价中的研究进展

近年来,随着社会对食品质量和安全的关注度不断提高,计算机视觉技术在食品质量评价领域逐渐受到重视并开始广泛应用。通过学习技术,如人工神经网络、卷积神经网络和支持向量机等,研究人员能够利用大量的食品图像和相关数据进行训练,从而实现对食品质量的自动评估和监测。特别是深度学习技术的发展,使得计算机能够更加准确地识别食品的外观、形状、颜色等特征,进而对其进行分类、预测和质量检测。除了在食品质量评价中的常规应用,学习技术还被用于更复杂的任务,如食品缺陷检测、异物检测、新鲜度评估等。这些技术不仅可以提高食品生产和加工的效率,还能够减少人为因素带来的误差,从而确保食品质量和安全。然而,尽管学习技术在食品质量评价中的应用取得了显著进展,但仍然存在一些挑战需要克服。例如,食品图像数据集的获取和标注成本较高,数据质量和数量的不足可能会影响模型的性能和泛化能力。此外,模型的可解释性和透明性也是一个重要问题,尤其是在需要对食品质量评价结果做出解释或决策的情况下。因此,未来的研究需要继续探索如何提高数据集的质量和规模、优化模型的鲁棒性和可解释性,以及开发更加高效和可持续的食品质量评价系统。

机器学习在食品工业中的应用

食品的质量安全是人类健康、社会稳定与发展的一个重要方面。确保食品的质量和安全是一个复杂且涉及多方面的问题,必须考虑食品加工的所有阶段,从种植和收获到储藏、运输、消费。将机器学习应用于食品加工领域可以大幅提高工作效率,保障食品的质量与安全。本文系统总结机器学习与深度学习模型,并详细阐述机器学习在食品领域,诸如图像识别、分级、质量检测和食品产业链中的应用。为机器学习在食品加工中的应用提供理论参考,以拓展食品科研人员的研究思路。

食品接触用纸中铅含量测定的能力验证结果分析

为考核检测机构在食品接触材料领域中重金属含量测定的检测能力,促进参加实验室提高检测水平。设计实施了食品接触用纸中铅含量的测定能力验证项目,以食品接触用牛皮纸为样品,对参加实验室的测定结果进行稳健统计分析,采用Z比分数评价各参加实验室的测试结果。参加验证的36家实验室中,35家结果满意,满意率为97.2%,1家结果不满意。ICP-OES、GFAAS和ICP-MS这3种仪器测试结果之间无显著性差异。