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近红外光谱分析技术在食用植物油分析检测中的应用
引用本文:严丽霞,张青青,缪文彬,沈晓芳.近红外光谱分析技术在食用植物油分析检测中的应用[J].食品安全质量检测技术,2017,8(5):1521-1526.
作者姓名:严丽霞  张青青  缪文彬  沈晓芳
作者单位:江南大学食品学院,江南大学食品学院,上海出入境检验检疫局,江南大学食品学院
基金项目:江苏省重点研发计划项目(BE2016635)
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。

关 键 词:近红外光谱技术  食用植物油  建模分析
收稿时间:2017/2/6 0:00:00
修稿时间:2017/5/9 0:00:00

Research progress on analysis of edible vegetable oils using near-infrared spectroscopy
YAN Li-Xi,ZHANG Qing-Qing,MIAO Wen-Bin and SHEN Xiao-Fang.Research progress on analysis of edible vegetable oils using near-infrared spectroscopy[J].Food Safety and Quality Detection Technology,2017,8(5):1521-1526.
Authors:YAN Li-Xi  ZHANG Qing-Qing  MIAO Wen-Bin and SHEN Xiao-Fang
Affiliation:School of Food Science and Technology, Jiangnan University,School of Food Science and Technology, Jiangnan University,Shanghai Entry-Exit Inspection and Quarantine Bureau and School of Food Science and Technology, Jiangnan University
Abstract:The detection of the quality of edible vegetable oil and the differentiation of adulteration are very important for safety assurance and consumer interests. The traditional analysis methods were 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, and on-line and multicomponent detection at the same time, currently has rapidly grow as a kind of new method applied in analysis in food quality field with great application prospect. This paper summarizes the NIR research and application progress in the field of edible vegetable oil in recent years, mainly including species and its adulteration judgement, quality analysis as well as its typical properties detection in heating process. The detection principle, influence factors and accuracy in edible vegetable oil detection by NIR were analyzed, meanwhile some limitations of the technology and obstacles to wider acceptance were analyzed and summarized, further study directions and some suggestions were also proposed.
Keywords:near-infrared  spectroscopy  edible  vegetable oil  modeling  analysis
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