Near infrared spectroscopy as a tool for the rapid analysis of the Honeysuckle extracts
被引:25
作者:
Li, Wenlong
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机构:
Zhejiang Univ, Pharmaceut Informat Inst, Hangzhou 310058, Zhejiang, Peoples R ChinaZhejiang Univ, Pharmaceut Informat Inst, Hangzhou 310058, Zhejiang, Peoples R China
Li, Wenlong
[1
]
Wang, Yuefei
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机构:
Tianjin Univ Tradit Chinese Med, State Key Lab Modern Chinese Med, Tianjin 300193, Peoples R ChinaZhejiang Univ, Pharmaceut Informat Inst, Hangzhou 310058, Zhejiang, Peoples R China
Wang, Yuefei
[2
]
Qu, Haibin
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h-index: 0
机构:
Zhejiang Univ, Pharmaceut Informat Inst, Hangzhou 310058, Zhejiang, Peoples R ChinaZhejiang Univ, Pharmaceut Informat Inst, Hangzhou 310058, Zhejiang, Peoples R China
Qu, Haibin
[1
]
机构:
[1] Zhejiang Univ, Pharmaceut Informat Inst, Hangzhou 310058, Zhejiang, Peoples R China
[2] Tianjin Univ Tradit Chinese Med, State Key Lab Modern Chinese Med, Tianjin 300193, Peoples R China
Near infrared spectroscopy;
Organic acids;
Honeysuckle extract;
Partial least squares regression;
PERFORMANCE LIQUID-CHROMATOGRAPHY;
JOHNS-WORT EXTRACTS;
NIR SPECTROSCOPY;
QUANTIFICATION;
D O I:
10.1016/j.vibspec.2012.07.005
中图分类号:
O65 [分析化学];
学科分类号:
070302 ;
081704 ;
摘要:
There is a lack of methods to analyze large numbers of traditional Chinese medicine (TCM) samples quickly and efficiently. Here we present a near infrared (NIR) spectroscopy-based method for the rapid analysis of Honeysuckle extracts. NIR spectra of 124 Honeysuckle extract samples produced within a four-year period were collected in the diffuse reflection mode and pretreated with multiplicative scatter correction (MSC). smoothing and derivative. Using partial least squares regression (PLSR), including PLS1 and PLS2, we established and validated the calibration models of six organic acids. Our results showed that both accuracy and precision of the NIR spectroscopy-based method meet the requirements of a traditional Chinese medicine (TCM) factory. This new method has the potential to save time, efforts and cost associated with the analysis of large quantities of unknown samples and will be particularly kapplicable to TCM factories for cost reduction. (C) 2012 Elsevier B.V. All rights reserved.