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便携式现场成像光谱仪的研制:用于鉴别日晒和硫磺熏蒸中药材的应用

Development of a Portable Field Imaging Spectrometer: Application for the Identification of Sun-Dried and Sulfur-Fumigated Chinese Herbals.

作者信息

Zhang Hongming, Wu Taixia, Zhang Lifu, Zhang Peng

机构信息

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China.

Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China

出版信息

Appl Spectrosc. 2016 May;70(5):879-87. doi: 10.1177/0003702816638293. Epub 2016 Mar 22.

Abstract

We fabricated a visible-near-infrared (Vis-NIR) portable field imaging spectrometer with a prism-grating-prism element and a scanning mirror. The developed Vis-NIR imaging spectrometer, consisting of an INFINITY 3-1 detector and a V10E spectrometer from Specim Corporation, is designed to measure the spectral range between 0.4 and 1 µm with spectral resolution of 2-4 nm. In recent years, sulfur fumigation has been abused during the processing of certain freshly harvested Chinese herbs. Fourier transform infrared spectroscopy, fiber optic NIR spectrometry, and liquid chromatography-mass spectrometry are typically used to analyze the chemical profiles of sulfur-fumigated and sun-dried Chinese herbs. Field imaging spectrometry is rarely used to identify sulfur-fumigated herbs. In this study, field imaging spectrometry, principal component analysis, and the partial least squares-discriminant analysis multivariate data analysis method are used to distinguish sun-dried and sulfur-fumigated Chinese medicinal herbs with a sensitivity of 96.4% and a specificity of 98.3% for RPA identification. These results suggest that hyperspectral imaging is a potential technique to control medicine quality for medical applications.

摘要

我们制造了一种带有棱镜-光栅-棱镜元件和扫描镜的可见-近红外(Vis-NIR)便携式现场成像光谱仪。所开发的Vis-NIR成像光谱仪由Specim公司的INFINITY 3-1探测器和V10E光谱仪组成,旨在测量0.4至1微米的光谱范围,光谱分辨率为2至4纳米。近年来,在某些新鲜采收的中药材加工过程中,硫磺熏蒸被滥用。傅里叶变换红外光谱法、光纤近红外光谱法和液相色谱-质谱法通常用于分析硫磺熏蒸和晒干的中药材的化学特征。现场成像光谱法很少用于识别硫磺熏蒸的药材。在本研究中,采用现场成像光谱法、主成分分析和偏最小二乘判别分析多元数据分析方法来区分晒干和硫磺熏蒸的中药材,对RPA识别的灵敏度为96.4%,特异性为98.3%。这些结果表明,高光谱成像技术是一种用于医疗应用中控制药品质量的潜在技术。

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