光谱诊断技术及其在农产品质量检测中的应用  

Application of Spectral Diagnoses Technology in Determination of Agricultural Products Quality

作　　者：刘燕德 程梦杰 郝勇 Liu Yande;Cheng Mengjie;Hao Yong(School of Mechanotronics ＆ Vehicle Engineering,East China Jiaotong University,Jiangxi Nanchang 330013)

机构地区：[1]华东交通大学机电与车辆工程学院,江西南昌330013

出　　处：《华东交通大学学报》2018年第4期1-7,共7页Journal of East China Jiaotong University

基　　金：国家自然科学基金(31760344);江西省科技支撑计划资助项目(20121BBF60054);南方山地果园智能化管理技术与装备协同创新中心项目(赣教高字[2014]60号);江西省优势科技创新团队(20153BCB24002);江西省自然科学基金项目(2015ZBAB201003)

摘　　要：农产品品质及其安全与消费者健康息息相关。农产品品质及安全指标的传统分析方法操作流程复杂且分析成本高。随着光谱和成像技术的快速发展,近红外光谱、拉曼光谱以及高光谱成像技术已广泛应用于农产品品质与安全的快速无损检测中。本文综述了光谱和成像技术在农产品品质与安全快速分析的最新研究进展,重点从水果、鸡蛋和辣椒内外部品质安全的近红外光谱检测、农药残留的拉曼光谱分析以及果树营养成分的高光谱成像检测三方面进行了综述。The quality and safety of agricultural products are closely related to the health of consumers. The traditional analysis methods for the quality and safety indexes of agricultural products have complex operational procedures and high analytical costs. With the rapid development of spectroscopy and imaging technology, nearinfrared spectroscopy, Raman spectroscopy, and hyperspectral imaging technology have been widely used in the rapid non-destructive detection of agricultural product quality and safety. In the paper, the recent advances were summarized for rapid analysis of quality and safety indexes of agricultural products by using spectroscopy and imaging technology. Three aspects of the study were selective analyzed including the application of near-infrared spectroscopy in the internal and external quality and safety detection for fruits, eggs and pepper, Raman spectroscopy in the detection of pesticide residues, and the application of hyperspectral imaging technology in the determination of nutrient contents of fruit trees.

关 键 词：近红外光谱 拉曼光谱 高光谱成像 品质与安全 

分 类 号：S129[农业科学—农业基础科学]