口岸食品有害生物毒素非人工实时监控分选技术和设备研发
项目来源
国（略）研（略）(（略）D（略）
项目主持人
王（略）
项目受资助机构
中（略）大（略）
项目编号
2（略）Y（略）6（略）0（略）
立项年度
2（略）
立项时间
未（略）
研究期限
未（略） （略）
项目级别
国（略）
受资助金额
3（略）0（略）
学科
食（略）关（略）研（略）
学科代码
未（略）
基金类别
“食（略）关（略）研（略）”重点专项
关键词
高（略）像（略）霉（略） （略）米（略）;（略）检（略） （略）数（略）方（略） （略）e（略）e（略）a（略）m（略）s（略）m（略）t（略）n（略）m（略）e（略）r（略）s（略）r（略）-（略）e（略）t（略）i（略）;（略）l（略）a（略）t（略）a（略）a（略）y（略） （略）h（略）
参与者
王（略）鹿瑶
参与机构
未（略）
项目标书摘要：光谱（略）素早期预测预警以便（略）非破坏在线批量检测（略）生和进入食物链，最（略）产业粮食加工和生物（略）究对象，首先在洁净（略）霉毒素的接种，采用（略）对不同浓度的黄曲霉（略）测，检测准确率在8（略）达到10 ppb。（略）玉米注射接种黄曲霉（略）粒的毒素含量，判别（略）上。基于对玉米上霉（略）污染玉米籽粒的判别（略）表面的物理化变化和（略）的关联关系，继而为（略）纹提取和光谱在线扫（略）口岸风险食品分选方（略）成分辨识的跨越。
Applicati（略）: Spectra（略） technolo（略）eve early（略） and earl（略）f fungi/t（略）vent pote（略）ems.Onlin（略）ting of p（略）el with n（略）ve method（略）toxin gen（略） entry in（略） chain fr（略）ce of raw（略）and ensur（略）y of food（略） and biol（略）ucts of C（略） and its （略）industrie（略）y.Taking （略）ls as the（略）bject,the（略）n of afla（略） differen（略）tions on （略） were car（略）rstly,and（略）mination （略）on were c（略） NIR tech（略）hyperspec（略）logy.The （略）ccuracy i（略）,and the （略）ccuracy c（略） PPB.Seco（略）owing cor（略）lated wit（略） in the f（略）e toxin c（略）he maize （略）er harves（略）red,with （略）ion accur（略）ore than （略）n the dis（略） study of（略）aize,mold（略）nels and （略）minated m（略）s,the cor（略）tween the（略）hanges an（略） differen（略）ctral cha（略）s of the （略）urface of（略） was cons（略）lays a fo（略）r the res（略）evelopmen（略）rting and（略） equipmen（略）ng the fi（略）xtraction（略）cal toxin（略）stics and（略）ctral sca（略）alize the（略） port ris（略）
项目受资助省
北（略）
1.口岸食品有害生物毒素非人工实时监控分选技术和设备研发中期报告(Scientific and technological report on non-artificial real-time monitoring and sorting technology and equipment research of harmful biological toxins in port food)
- 关键词：
- 高光谱技术、生物毒素、多路复用技术、高通量在线分选、Hyperspectral imaging techniques、mycotoxin、multiplexing technology、high-throughput online sorting
- 王伟鹿瑶；
- 《中国农业大学；》
- 2020年
- 报告
针对口岸大宗进口食品原料中生物毒素的客观存在性和严重危害性，国内一直期望将近红外光谱用于提升常规光电色选机但举步不前，对从进口大宗粮食原料中高速剔除零散的含生物毒素籽粒更无能为力。本研究采用高光谱成像技术(HSI)已完成玉米、小麦、花生等谷物籽粒中的黄曲霉毒素B1及呕吐毒素特征指纹信息的获取(健康及含毒籽粒判别模型准确率在89%以上),融合多面转镜动态扫描技术与多路复用技术，正在搭建谷物籽粒的实时在线获取设备关键件、集成高通量快速在线分选设备。基于窝眼轮式喂料装置实现每个待检测籽粒的单层均布及定位，多面转镜动态扫描融合激光诱导荧光技术实现运动皮带上逐个谷物籽粒的荧光光谱激发，随后，多路复用联合多通道光谱仪实时采集各通道被激发籽粒的荧光信号，配合高速控制器及高频电磁阀技术，最终实现大宗粮食原料中离散分布的具有严重危害籽粒的定位、高速剔除和高通量在线分选。 In view of the objective existence and serious harm of biotoxins in bulk imported raw materials at ports,China has been expecting to use near-infrared spectroscopy to improve conventional photoelectric color sorters,but it has not moved forward.It is even more incapable of high-speed removal of scattered biotoxin-containing grains.In this study,we employed hyperspectral imaging techniques(HSI)to obtain the characteristic fingerprint information of aflatoxin B1 and vomitoxin in corn,wheat,peanuts and other cereal grains,whose accuracy of the healthy and toxic grain discrimination model was above 89%.Combining the dynamic scanning technology of the multi-sided rotating mirror and the multiplexing technology,the key components of real-time online acquisition equipment for cereal grains are being built,and the high-throughput fast online sorting equipment is also being integrated.The single-layer uniform distribution and positioning of each grain to be detected is realized based on the socket wheel feeding device,and the dynamic scanning of the multi-faceted rotating mirror fusion laser induced fluorescence technology realizes the fluorescence spectrum excitation of each grain on the moving belt.Subsequently,the multiplexing combined multi-channel spectrometer collects the fluorescence signals of the excited grains in each channel in real time,and cooperates with the high-speed controller and high-frequency solenoid valve technology to finally realize the positioning,high-speed removal,and high-throughput online sorting of the discretely distributed grains in the food material.
...2.Detection of mycotoxins and toxigenic fungi in cereal grains using vibrational spectroscopic techniques: a review
- 关键词：
- vibrational spectroscopy; toxic secondary metabolites; infraredspectroscopy; Raman spectroscopy; hyperspectral imaging;NEAR-INFRARED SPECTROSCOPY; HYPERSPECTRAL IMAGING TECHNIQUE; ENHANCEDRAMAN-SPECTROSCOPY; FUSARIUM HEAD BLIGHT; AFLATOXIN B-1 AFB(1);MIDINFRARED SPECTROSCOPY; FUMONISIN CONTAMINATION; QUALITY EVALUATION;NIR SPECTROSCOPY; RAPID EVALUATION
Nutrition-rich cereal grains and oil seeds are the major sources of food and feed for human and livestock, respectively. Infected by fungi and contaminated with mycotoxins are serious problems worldwide for cereals and oil seeds before and after harvest. The growth and development activities of fungi consume seed nutrients and destroy seed structures, leading to dramatic declines of crop yield and quality. In addition, the toxic secondary metabolites produced by these fungi pose a well-known threat to both human and animals. The existence of fungi and mycotoxins has been a redoubtable problem worldwide for decades but tends to be a severe food safety issue in developing countries and regions, such as China and Africa. Detection of fungal infection at an early stage and of mycotoxin contaminants, even at a small amount, is of great significance to prevent harmful toxins from entering the food supply chains worldwide. This review focuses on the recent advancements in utilising infrared spectroscopy, Raman spectroscopy, and hyperspectral imaging to detect fungal infections and mycotoxin contaminants in cereals and oil seeds worldwide, with an emphasis on recent progress in China. Brief introduction of principles, and corresponding shortcomings, as well as latest advances of each technique, are also being presented herein.
...3.Detection of mycotoxins and toxigenic fungi in cereal grains using vibrational spectroscopic techniques: a review
- 关键词：
- vibrational spectroscopy; toxic secondary metabolites; infraredspectroscopy; Raman spectroscopy; hyperspectral imaging;NEAR-INFRARED SPECTROSCOPY; HYPERSPECTRAL IMAGING TECHNIQUE; ENHANCEDRAMAN-SPECTROSCOPY; FUSARIUM HEAD BLIGHT; AFLATOXIN B-1 AFB(1);MIDINFRARED SPECTROSCOPY; FUMONISIN CONTAMINATION; QUALITY EVALUATION;NIR SPECTROSCOPY; RAPID EVALUATION
Nutrition-rich cereal grains and oil seeds are the major sources of food and feed for human and livestock, respectively. Infected by fungi and contaminated with mycotoxins are serious problems worldwide for cereals and oil seeds before and after harvest. The growth and development activities of fungi consume seed nutrients and destroy seed structures, leading to dramatic declines of crop yield and quality. In addition, the toxic secondary metabolites produced by these fungi pose a well-known threat to both human and animals. The existence of fungi and mycotoxins has been a redoubtable problem worldwide for decades but tends to be a severe food safety issue in developing countries and regions, such as China and Africa. Detection of fungal infection at an early stage and of mycotoxin contaminants, even at a small amount, is of great significance to prevent harmful toxins from entering the food supply chains worldwide. This review focuses on the recent advancements in utilising infrared spectroscopy, Raman spectroscopy, and hyperspectral imaging to detect fungal infections and mycotoxin contaminants in cereals and oil seeds worldwide, with an emphasis on recent progress in China. Brief introduction of principles, and corresponding shortcomings, as well as latest advances of each technique, are also being presented herein.
...4.口岸食品有害生物毒素非人工实时监控分选技术和设备研发年度报告(Report on the research and development of the screening technology and equipment of the port food harmful biological toxin without manual real-time monitoring)
- 关键词：
- 高光谱图像、霉菌毒素、玉米籽粒、实时检测、多变量数据分析方法、Hyperspectral images、mycotoxin、maize kernels、real-time detection、multivariate data analysis methods
- 王伟鹿瑶；
- 《中国农业大学；》
- 2019年
- 报告
光谱检测技术可实现霉菌/毒素早期预测预警以便防患于未然，原料颗粒级非破坏在线批量检测可从原料源头避免毒素产生和进入食物链，最终确保我国粮食及其下游产业粮食加工和生物制品等安全。以玉米为研究对象，首先在洁净玉米上进行不同浓度黄曲霉毒素的接种，采用近红外技术及高光谱技术对不同浓度的黄曲霉毒素玉米颗粒进行判别检测，检测准确率在88%以上，检测精度能够达到10 ppb。其次，在田间对生长中的玉米注射接种黄曲霉毒素，测其收获后玉米籽粒的毒素含量，判别准确率能够达到80%以上。基于对玉米上霉菌、霉变玉米籽粒及毒素污染玉米籽粒的判别研究，构建了对象内部及表面的物理化变化和分子差异与光谱特征之间的关联关系，继而为研发集成生物毒素特征指纹提取和光谱在线扫描的分选查验设备，实现口岸风险食品分选方式从表观属性识别到内在成分辨识的跨越。 Spectral detection technology can achieve early prediction and early warning of fungi/toxin to prevent potential problems.Online batch testing of particle level with nondestructive method can avoid toxin generation and entry into the food chain from the source of raw materials,and ensure the safety of food processing and biological products of China's food and its downstream industries ultimately.Taking maize kernels as the research object,the inoculation of aflatoxins with different concentrations on clean maize were carried out firstly,and the discrimination and detection were conducted by NIR technology and hyperspectral technology.The detection accuracy is above 88%,and the detection accuracy can reach 10 PPB.Secondly,the growing corn was inoculated with aflatoxin in the field,and the toxin content in the maize kernels after harvest was measured,with discrimination accuracy reach more than 80%.Based on the discriminating study of fungi on maize,moldy maize kernels and toxin-contaminated maize kernels,the correlation between the physical changes and molecular differences and spectral characteristics of the inner and surface of the object was constructed.It lays a foundation for the research and development of the sorting and inspection equipment,integrating the fingerprint extraction of biological toxin characteristics and online spectral scanning to realize the sorting of port risk food.
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