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采用 HPLC、GC/MS、NIRS 和化学计量学相结合的综合方法对西红花进行地理鉴别和商业分类。

An integrated approach combining HPLC, GC/MS, NIRS, and chemometrics for the geographical discrimination and commercial categorization of saffron.

机构信息

Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, PR China; College of Pharmacy, Jiangsu University, Zhenjiang 212013, PR China.

Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, PR China.

出版信息

Food Chem. 2018 Jul 1;253:284-292. doi: 10.1016/j.foodchem.2018.01.140. Epub 2018 Feb 2.

DOI:10.1016/j.foodchem.2018.01.140
PMID:29502833
Abstract

In the present study, an integrated approach combining HPLC/DAD, GC/MS, near infrared (NIR) spectroscopy, and chemometrics was used to geographically discriminate saffron samples from Iran and China. Chinese and Iranian samples can be well-separated based on HPLC data analysed by a principal component analysis and an orthogonal partial least squares discriminant analysis. Picrocrocin and two types of crocins were found to be the discriminating variables, and the Chinese samples had higher contents of safranal and picrocrocin but lower cis-crocin 3Gg, kaempferol-3-O-sophoroside and isophorone. Furthermore, an NIR method was successfully established to rapidly distinguish the Chinese and Iranian samples. The relationship between an ISO standard and the contents of the chemical indices was also studied. The results indicated that the ISO standard should be revised, especially for analysing safranal.

摘要

在本研究中,采用了一种结合高效液相色谱/二极管阵列检测(HPLC/DAD)、气相色谱/质谱联用(GC/MS)、近红外(NIR)光谱和化学计量学的综合方法,对来自伊朗和中国的藏红花样品进行了地理区分。基于主成分分析和正交偏最小二乘判别分析对 HPLC 数据进行分析,可以将中国和伊朗的样品很好地区分开来。发现吡咯里西啶和两种类型的藏红花素是具有区分性的变量,中国样品中含有较高的西红花醛和西红花苦素,但较低的顺式藏红花素 3Gg、山奈酚-3-O-槐糖苷和异佛尔酮。此外,还成功建立了一种近红外方法来快速区分中国和伊朗的样品。还研究了 ISO 标准与化学指标含量之间的关系。结果表明,ISO 标准应该进行修订,特别是在分析西红花醛方面。

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