Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan, 644000, China; Hospital, Yibin University, Yibin, Sichuan, 644000, China.
Key Lab of Process Analysis and Control of Sichuan Universities, Yibin University, Yibin, Sichuan, 644000, China; Sichuan Provincial Orthopedic Hospital, Chengdu, Sichuan, 610041, China.
Anal Biochem. 2020 Feb 1;590:113514. doi: 10.1016/j.ab.2019.113514. Epub 2019 Nov 28.
Nowadays, counterfeit medicines have become very popular due to the extension of the Internet. Broad-spectrum antibiotics with similar effect, but different prices, provide a gold opportunity for illegal traders to counterfeit. It is found that some genuine packaging of expensive brand drugs are recycled and then used to refill other kinds of cheap antibiotic tablets. It is of great importance to establish an effective antibiotic authentication method to check whether a product with a specific claim on its label is compatible with that declaration. In the present work, the feasibility of near-infrared (NIR) spectroscopy coupled with class-modeling for antibiotics authentication, i.e., counterfeiting between different antibiotics, is investigated. A total of 591 antibiotics samples of nine classes of different dosage forms were collected. Principal component analysis (PCA) was used for exploratory analysis. An effective model-independent filter method, i.e., relief, was used for feature selection and a novel class-modeling algorithm was used to construct authentication models. Three kinds of antibiotics were used as the target classes for experiments. The results confirmed that such a scheme is feasible and can be used in the screening of fake drug.
如今，由于互联网的普及，假药变得非常猖獗。具有相似疗效但价格不同的广谱抗生素为不法商人提供了造假的黄金机会。研究发现，一些昂贵品牌药物的正品包装被回收，然后用于填充其他种类的廉价抗生素片剂。建立一种有效的抗生素鉴定方法来检查标签上有特定声称的产品是否与该声明相符非常重要。在本工作中，研究了近红外（NIR）光谱结合分类建模用于抗生素鉴定的可行性，即不同抗生素之间的假冒。共收集了 591 种 9 类不同剂型的抗生素样品。主成分分析（PCA）用于探索性分析。采用有效的模型独立滤波器方法（Relief）进行特征选择，并采用新颖的分类建模算法构建鉴定模型。以三种抗生素作为实验的目标类别。结果证实了该方案的可行性，并可用于假药的筛选。
