Green Identification of the Source of Pharmaceuticals by Near-Infrared (NIR) Spectroscopy and Chemometrics

被引：0
作者：
Chen, Hui [1 ,2 ]
Tan, Cheng [3 ]
Cheng, Bin [1 ]
Lin, Zan [4 ]
Tan, Chao [1 ]
机构：
[1] Yibin Univ, Key Lab Proc Anal & Control Sichuan Univ, Yibin 644000, Sichuan, Peoples R China
[2] Yibin Univ, Hosp, Yibin, Sichuan, Peoples R China
[3] Aba Teachers Univ, Coll Resources & Environm, Wenchuan, Sichuan, Peoples R China
[4] Sichuan Prov Orthoped Hosp, Dept Knee Sports Injury, Chengdu, Sichuan, Peoples R China
来源：
ANALYTICAL LETTERS | 2025年
关键词：
Azithromycin; counterfeit drugs; near-infrared (NIR); spectroscopy; partial least squares (PLS); ReliefF; PORTABLE RAMAN; COUNTERFEIT; SPECTROMETRY; MEDICINES; QUALITY; DRUGS;
D O I：
10.1080/00032719.2025.2460572
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
The means of counterfeiting are becoming increasingly sophisticated, posing great challenges to detection technologies. A green method for differentiating the source of pharmaceuticals from different factories using portable near-infrared (NIR) spectroscopy and chemometrics is developed. A set of azithromycin tablets from different manufacturers are used in the experiments. The ReliefF-based algorithm and -partial least squares (PLS) are used for variable selection and modeling, respectively. Both full-spectrum and local models achieve 100% accuracy. It is more desirable to develop low-cost methods on a small wavelength range, which has been demonstrated to be a potential tool for drug quality supervision.
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页数：14
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