红外与拉曼光谱技术对食用油掺伪检测研究进展
Advancements in Adulteration Detection of Edible Oils via Infrared Spectroscopy and Raman Spectroscopy Techniques:A Comprehensive Review
郭佳 1李开开1
作者信息
- 1. 中国人民公安大学侦查学院,北京 102600
- 折叠
摘要
食用油是人们日常饮食中的必需品,因种类、产地和营养成分等因素不同而价格差异悬殊.不法商家为追求经济利益,将廉价食用油以次充好掺入优质食用油中,损害了消费者合法权益,因此研究食用油掺伪的快速检测方法至关重要.近些年,光谱技术以其简便、快速、无损、低成本等优点成为食用油掺伪的重要检测技术.文章基于近红外、中红外光谱法和拉曼光谱法的基本原理、优缺点以及互补关系,综述了近年来红外和拉曼光谱技术在橄榄油、山茶油等食用油掺伪检测中的研究进展,总结了几种光谱技术在食用油掺伪检测方面存在的问题,并对未来的检测发展方向进行了展望.
Abstract
Edible oil plays a crucial role in people's daily food consumption,and its prices are subject to signifi-cant variations attributed to factors such as variety,origin,and nutritional composition.However,some unscrupulous businesses prioritize economic gain over consumer welfare and engage in adulteration practices by blending inexpen-sive oils with genuine ones,deceptively marketing them as high-quality products.This disrupts the market order and poses risks to consumer rights.It is crucial to research and develop rapid detection methods for identifying adul-teration in edible oils.In recent years,spectroscopy technology has emerged as a valuable technique for detecting a-dulteration due to its advantages of simplicity,speed,non-destructiveness and low cost.In this review,a compre-hensive analysis of the basic principles,respective advantages and disadvantages,and complementary nature of near-infrared spectroscopy,mid-infrared spectroscopy and Raman spectroscopy was presented.Additionally,an o-verview of the research progress made in the past years in the detection of adulteration in edible oils,such as olive oil and camellia oil,etc.was provided using infrared spectroscopy and Raman spectroscopy.Drawing upon the preced-ing analysis,in this comprehensive review,the challenges encountered in the detection of adulteration in edible oils were critically examined using various spectroscopic techniques.Furthermore,a forward-looking perspective on the future directions of detection was offered.
关键词
食用油/掺伪检测/近红外光谱/中红外光谱/拉曼光谱/化学计量学Key words
edible oils/adulteration detection/near-infrared spectroscopy/mid-infrared spectroscopy/Raman spectroscopy/chemometrics引用本文复制引用
基金项目
中国人民公安大学刑事科学技术双一流创新研究专项(2023SYL06)
出版年
2024
NETL
NSTL
万方数据