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物理因素对近红外光谱校准模型准确性的影响。

Influence of physical factors on the accuracy of calibration models for NIR spectroscopy.

机构信息

Departament de Química, Edifici Cn, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain.

出版信息

J Pharm Biomed Anal. 2010 May 1;52(1):59-65. doi: 10.1016/j.jpba.2009.12.009. Epub 2009 Dec 30.

Abstract

The quality of pharmaceutical drugs is strongly influenced by a number of physical and chemical factors that require careful control during the production process in order to ensure that the end-product will meet the specifications. Near infrared spectroscopy has proved effective for monitoring changes in such factors and is currently the most widely used technique for controlling drug manufacturing processes. In this work, the authors determined an active pharmaceutical ingredient (API) throughout its production process. The influence of particle size, galenic form, compaction pressure and coating thickness on NIR spectra was evaluated with a view to developing effective methodologies for constructing simple, accurate calibration methods affording API quantization at different stages of a drug production process. All calibration models were constructed from data for laboratory samples alone and NIR calibration models for determining the API determination by using product weights as reference values. The proposed models were validated by application to samples obtained at three stages of a drug manufacturing process and comparison of the predicted values with HPLC reference values. The RSEP values thus obtained never exceeded 1.5%.

摘要

药物的质量受到许多物理和化学因素的强烈影响,这些因素在生产过程中需要仔细控制,以确保最终产品符合规格。近红外光谱已被证明可有效监测这些因素的变化,目前是控制药物制造过程最广泛使用的技术。在这项工作中,作者在整个生产过程中确定了一种活性药物成分 (API)。研究了粒径、赋形剂形式、压缩压力和涂层厚度对近红外光谱的影响,以期开发出有效的方法,构建简单、准确的校准方法,在药物生产过程的不同阶段对 API 进行定量。所有的校准模型都是仅使用实验室样品的数据构建的,并且使用产品重量作为参考值来确定 API 测定的近红外校准模型。通过将预测值与 HPLC 参考值进行比较,应用于药物制造过程的三个阶段获得的样品对所提出的模型进行了验证。因此,获得的 RSEP 值从未超过 1.5%。

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