CLC number: R917
On-line Access: 2016-05-04
Received: 2015-08-03
Revision Accepted: 2015-12-27
Crosschecked: 2016-04-15
Cited: 3
Clicked: 5114
Wen-long Li, Hai-fan Han, Lu Zhang, Yan Zhang, Hai-bin Qu. Manufacturer identification and storage time determination of “Dong’e Ejiao” using near infrared spectroscopy and chemometrics[J]. Journal of Zhejiang University Science B, 2016, 17(5): 382-390.
@article{title="Manufacturer identification and storage time determination of “Dong’e Ejiao” using near infrared spectroscopy and chemometrics",
author="Wen-long Li, Hai-fan Han, Lu Zhang, Yan Zhang, Hai-bin Qu",
journal="Journal of Zhejiang University Science B",
volume="17",
number="5",
pages="382-390",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B1500186"
}
%0 Journal Article
%T Manufacturer identification and storage time determination of “Dong’e Ejiao” using near infrared spectroscopy and chemometrics
%A Wen-long Li
%A Hai-fan Han
%A Lu Zhang
%A Yan Zhang
%A Hai-bin Qu
%J Journal of Zhejiang University SCIENCE B
%V 17
%N 5
%P 382-390
%@ 1673-1581
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.B1500186
TY - JOUR
T1 - Manufacturer identification and storage time determination of “Dong’e Ejiao” using near infrared spectroscopy and chemometrics
A1 - Wen-long Li
A1 - Hai-fan Han
A1 - Lu Zhang
A1 - Yan Zhang
A1 - Hai-bin Qu
J0 - Journal of Zhejiang University Science B
VL - 17
IS - 5
SP - 382
EP - 390
%@ 1673-1581
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.B1500186
Abstract: We have developed a set of chemometric methods to address two critical issues in quality control of a precious traditional Chinese medicine (TCM), dong’;e Ejiao (DEEJ). Based on near infrared (NIR) spectra of multiple samples, the genuine manufacturer of DEEJ, e.g. dong’;e Ejiao Co., Ltd., was accurately identified among 21 suppliers by the fingerprint method using Hotelling T2, distance to Model X (DModX), and similarity match value (SMV) as discriminate criteria. Soft independent modeling of the class analogy algorithm led to a misjudgment ratio of 6.2%, suggesting that the fingerprint method is more suitable for manufacturer identification. For another important feature related to clinical efficacy of DEEJ, storage time, the partial least squares-discriminant analysis (PLS-DA) method was applied with a satisfactory misjudgment ratio (15.6%) and individual prediction error around 1 year. Our results demonstrate that NIR spectra comprehensively reflect the essential quality information of DEEJ, and with the aid of proper chemometric algorithms, it is able to identify genuine manufacturer and determine accurate storage time. The overall results indicate the promising potential of NIR spectroscopy as an effective quality control tool for DEEJ and other precious TCM products.
The manuscript describes methods to evaluate two critical issues including manufacturer identification and storage time in quality control of Dong'e E-Jiao (DEEJ). This approach provides convenient methods for identifying the manufacturer and storage time. Moreover, it also has great potential to promote the traditional Chinese medicine quality control in the future. The manuscript has new approach and original content which should be interesting to the readership. The subject is quite important, has practical implication and paper is interesting.
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