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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: 3647

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Wen-long Li

http://orcid.org/0000-0002-7736-9055

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

http://doi.org/10.1631/jzus.B1500186


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",
volume="17",
number="5",
pages="382-390",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B1500186"
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%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.

基于近红外光谱技术的东阿阿胶生产厂家和存放时间鉴定方法研究

目的:对东阿阿胶的生产厂家和存放时间进行鉴定,为东阿阿胶的品牌保护和质量控制提供技术手段。
创新点:首次报道采用近红外光谱指纹图谱技术和相关的化学计量学方法对东阿阿胶进行质量控制。
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。
结论:所建立的方法可有效区分东阿阿胶与黄明胶、龟甲胶、鹿角胶、以及其他品牌的阿胶,可用于东阿阿胶的品牌保护;利用PLS-DA可对不同存放年限的东阿阿胶进行判别分析,结果令人满意。

关键词:东阿阿胶;近红外光谱;生产厂家鉴定;存放时间鉴定;质量控制

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

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