Laasonen Magali, Harmia-Pulkkinen Tuulikki, Simard Christine, Räsänen Markku, Vuorela Heikki
Department of Pharmacy, Division of Pharmacognosy, University of Helsinki, Finland.
Eur J Pharm Sci. 2004 Mar;21(4):493-500. doi: 10.1016/j.ejps.2003.11.011.
A near infrared (NIR) quantitative analysis method was developed for determining the thickness of PVC-based plastic sheets used as pharmaceutical packs. Samples that can be analyzed are transparent films made of polyvinyl chloride (PVC), PVC coated with polyvinylidene dichloride (PVDC) or PVC coated with Thermoelast (TE) and PVDC. The method, based on a partial least squares (PLS) algorithm, is used together with a previously developed NIR identification method to acquire simultaneously qualitative and quantitative information about the samples. Validation of the quantitative method was conducted according to the very recent European Agency for the Evaluation of Medicinal Products (EMEA) guidance on the use of NIR spectroscopy. Suggestions were made for a better statistical evaluation of the calibration model prior to validation. Validation consisted of the study of specificity, accuracy (mean recovery from the reference values was 99.56%), precision (repeatability and intermediate precision were <0.6%), linearity, quantification limit (41 microm), and robustness of the method. This demonstration of the applicability of NIR spectroscopy as a validated quality control tool for pharmaceutical packaging films will hopefully facilitate the acceptance of NIR spectroscopy in pharmaceutical laboratories.
开发了一种近红外(NIR)定量分析方法,用于测定用作药品包装的聚氯乙烯(PVC)基塑料片材的厚度。可分析的样品是由聚氯乙烯(PVC)制成的透明薄膜、涂有聚偏二氯乙烯(PVDC)的PVC或涂有热弹性体(TE)和PVDC的PVC。该方法基于偏最小二乘法(PLS)算法,与先前开发的NIR识别方法一起使用,以同时获取有关样品的定性和定量信息。根据欧洲药品评估局(EMEA)最近关于使用近红外光谱的指南对定量方法进行了验证。在验证之前,对校准模型的更好统计评估提出了建议。验证包括特异性、准确性(从参考值的平均回收率为99.56%)、精密度(重复性和中间精密度<0.6%)、线性、定量限(41微米)以及该方法的稳健性研究。近红外光谱作为药品包装薄膜经过验证的质量控制工具的适用性证明,有望促进近红外光谱在药品实验室中的接受。