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（英文）

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

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 T^2、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。

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 （DEE J）. Based on near infrared （NIR） spectra of multiple samples, the genuine manufacturer of DEE J, 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 dis- criminate 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 DEE J, 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 DEE J, 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.