近红外光谱分析技术在食用植物油分析检测中的应用

Research progress on analysis of edible vegetable oils using near-infrared spectroscopy

中文关键词:  近红外光谱技术  食用植物油  建模分析

英文关键词:near-infrared spectroscopy, edible vegetable oil, modeling analysis

中文摘要:

      食用植物油的品质检测和掺伪鉴别对于保障其食用安全性以及消费者利益具有重要意义。传统的分析方法由于操作繁琐、耗时较长, 因此不能满足大量样品的实时快速检测要求。近红外光谱分析技术由于可以实现快速、无损、在线和多组分同时检测, 目前已快速发展成为一种应用于食品分析领域的新方法, 具有较大的应用前景。本文主要综述了近年来近红外光谱技术在食用植物油领域的研究及应用进展, 包括在食用植物油品种定性鉴别、掺伪检测、品质检测及其在煎炸等热加工过程中的理化指标检测等多个方面的研究, 对近红外光谱技术在食用植物油检测中的检测原理、影响因素、准确度等进行了综合分析, 同时对目前近红外光谱技术在食品领域应用存在的问题进行了分析总结, 并对今后进一步研究提出了展望。

英文摘要:

      Detection of the quality of edible vegetable oils and differentiation of adulteration are very important for safety assurance and consumer interests. The traditional analysis methods are complicated and time-consuming, therefore they are not suitable for the requirement of real-time and rapid detection of a large number of samples. Near infrared spectroscopy (NIR), which can achieve a rapid, nondestructive, on-line and multicomponent detection at the same time, currently has rapidly grown as a kind of new method applied in analysis in food quality field with great application prospects. This paper summarized the NIR research and application progresses in the field of edible vegetable oils in recent years, mainly including species identification, adulteration judgment, quality analysis as well as typical properties detection in heating process. The detection principles, influencing factors and accuracy in edible vegetable oils detection by NIR were analyzed, meanwhile some limitations of the technology and obstacles to wider acceptance were analyzed and summarized, and further study directions and some suggestions were also proposed.