近红外光谱法鉴别药品有效成分的局限性

N. E. Kuz’mina, S. Moiseev, B. Romanov
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摘要

近红外光谱法(NIRS)是一种新的药典方法。它广泛应用于制药行业,用于医药产品各个生产阶段的质量控制(原料和成品的控制),以及检测不合格和假药。本研究的目的是评估在药品上市前质量控制中使用近红外光谱作为有效成分鉴定试验的可行性。材料和方法:327种固体和半固体剂型的药物样品在上市前实验室评估期间通过完善的药典鉴定方法进行检查后,通过近红外光谱进行了测试。将样品的近红外光谱与光谱库分类模型进行比较。结果:近红外光谱鉴别率为3.1%。结果表明,库分类模型只能用于识别特定制造商生产的药物,即用于确认药物身份。结论:近红外光谱法不适合作为药品上市前实验室评价阶段有效成分的鉴别方法。近红外光谱的主要限制是缺乏针对市场上所有药品的完整的文库分类模型,以及使用不同仪器获得的光谱文库数据的不可重复性。
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Limitations of NIR Spectrometry as an Identification Test for Active Ingredients in Medicinal Products
Near-infrared spectrometry (NIRS) is a new pharmacopoeial method. It is widely used in the pharmaceutical industry for quality control of medicinal products at various production stages (control of raw materials and finished products), and for detection of substandard and counterfeit drugs.The aim of the study was to assess the feasibility of using NIRS as an identification test for active ingredients during pre-marketing quality control of medicinal products.Materials and methods: 327 drugs samples represented as solid and semisolid dosage forms were tested by NIRS following their examination by well-established pharmacopoeial Identification methods during pre-marketing laboratory evaluation. The NIR spectra of the test samples were compared with the spectral library classification models.Results: NIRS confirmed the identity of 3.1% of the tested medicinal products. It was demonstrated that library classification models could be used for identification of only those medicines that were produced by a specific manufacturer, i.e. for confirmation of medicine identity.Conclusions: the NIRS method is unpractical as an Identification test for active ingredients in medicinal products during the pre-marketing laboratory evaluation stage. The main limitations of NIRS are lack of complete sets of library classification models for all medicinal products available in the market and non-reproducibility of spectral library data obtained with a different instrument.
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