Full Text:   <2627>

Summary:  <1871>

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: 4865

Citations:  Bibtex RefMan EndNote GB/T7714


Wen-long Li


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Journal of Zhejiang University SCIENCE B 2016 Vol.17 No.5 P.382-390


Manufacturer identification and storage time determination of “Dong’e Ejiao” using near infrared spectroscopy and chemometrics

Author(s):  Wen-long Li, Hai-fan Han, Lu Zhang, Yan Zhang, Hai-bin Qu

Affiliation(s):  Pharmaceutical Informatics Institute, Zhejiang University, Hangzhou 310058, China; more

Corresponding email(s):   quhb@zju.edu.cn

Key Words:  Dong’, e Ejiao, Near infrared spectroscopy, Manufacturer identification, Storage time identification, Quality control

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.

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author="Wen-long Li, Hai-fan Han, Lu Zhang, Yan Zhang, Hai-bin Qu",
journal="Journal of Zhejiang University Science B",
publisher="Zhejiang University Press & Springer",

%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

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

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.


方法:收集有代表性的阿胶样品,其中包括来自不同厂家的阿胶、黄明胶、龟甲胶、鹿角胶样品188份和来自东阿阿胶股份有限公司2005~2012年间生产的阿胶,每年30批,共计240份东阿阿胶样品。采集样品光谱,采用Hotelling T2、DModX和相似度匹配值等统计量作为判断标准,进行东阿阿胶品牌的鉴定;采用偏最小二乘判别分析(PLS-DA)方法进行东阿阿胶存放年限的判别分析。


Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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