Suppr超能文献

利用傅里叶变换红外光谱法检测榛子油掺假

Detection of hazelnut oil adulteration using FT-IR spectroscopy.

作者信息

Ozen Banu F, Mauer Lisa J

机构信息

Food Science Department, Purdue University, 1160 Food Science Building, West Lafayette, Indiana 47907, USA.

出版信息

J Agric Food Chem. 2002 Jul 3;50(14):3898-901. doi: 10.1021/jf0201834.

Abstract

Fourier transform infrared spectroscopy (FT-IR) was used to detect the adulteration of hazelnut oil with different types of oils and to detect the adulteration of extra-virgin olive oil with hazelnut oil. Spectra of hazelnut oil, seven other types of oils, extra-virgin olive oil, and the adulterated oils were collected with a FT-IR equipped with a ZnSe-ATR accessory and a MCTA detector. Discriminant analysis and partial least-squares analysis were used to analyze the data. Classification of hazelnut oil, olive oil, and the other types of oils was achieved successfully with FT-IR. The detection level for sunflower oil adulteration of hazelnut oil was 2%, and the correlation coefficient for the PLS model was 0.99. Adulteration of virgin olive oil with hazelnut oil could be detected only at levels of 25% and higher.

摘要

傅里叶变换红外光谱法(FT-IR)用于检测榛子油与不同类型油的掺假情况,以及检测特级初榨橄榄油与榛子油的掺假情况。使用配备ZnSe-ATR附件和MCTA探测器的傅里叶变换红外光谱仪收集榛子油、其他七种类型的油、特级初榨橄榄油以及掺假油的光谱。采用判别分析和偏最小二乘法分析数据。通过傅里叶变换红外光谱法成功实现了榛子油、橄榄油和其他类型油的分类。榛子油中向日葵油掺假的检测限为2%,偏最小二乘模型的相关系数为0.99。只有当榛子油掺假比例达到25%及以上时,才能检测出特级初榨橄榄油中存在榛子油掺假。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验