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采用透射近红外光谱法定量分析低剂量制剂中的药物含量。

Quantitation of drug content in a low dosage formulation by transmission near infrared spectroscopy.

作者信息

Meza Carlos Peroza, Santos María A, Romañach Rodolfo J

机构信息

University of Puerto Rico - Mayagüez Campus, Department of Chemistry, PO Box 9019, Mayagüez, PR 00681-9019.

出版信息

AAPS PharmSciTech. 2006 Mar 24;7(1):E29. doi: 10.1208/pt070129.

Abstract

A transmission near infrared (NIR) spectroscopic method has been developed for the nondestructive determination of drug content in tablets with less than 1% weight of active ingredient per weight of formulation (m/m) drug content. Tablets were manufactured with drug concentrations of approximately 0.5%, 0.7%, and 1.0% (m/m) and ranging in drug content from 0.71 to 2.51 mg per tablet. Transmission NIR spectra were obtained for 110 tablets that constituted the training set for the calibration model developed with partial least squares regression. The reference method for the calibration model was a validated UV spectrophotometric method. Several data preprocessing methods were used to reduce the effect of scattering on the NIR spectra and base the calibration model on spectral changes related to the drug concentration changes. The final calibration model included the spectral range from 11 216 to 8662 cm(-1), the standard normal variate (SNV), and first derivative spectral pretreatments. This model was used to predict an independent set of 48 tablets with a root mean standard error of prediction (RMSEP) of 0.14 mg, and a bias of only -0.05 mg per tablet. The study showed that transmission NIR spectroscopy is a viable alternative for nondestructive testing of low drug content tablets, available for the analysis of large numbers of tablets during process development and as a tool to detect drug agglomeration and evaluate process improvement efforts.

摘要

已开发出一种透射近红外(NIR)光谱法,用于无损测定片剂中的药物含量,制剂中活性成分的重量百分比(m/m)药物含量低于1%。制备的片剂药物浓度约为0.5%、0.7%和1.0%(m/m),每片药物含量在0.71至2.51毫克之间。对110片片剂获取了透射近红外光谱,这些片剂构成了用偏最小二乘回归开发的校准模型的训练集。校准模型的参考方法是经过验证的紫外分光光度法。使用了几种数据预处理方法来减少散射对近红外光谱的影响,并使校准模型基于与药物浓度变化相关的光谱变化。最终的校准模型包括11216至8662 cm(-1)的光谱范围、标准正态变量(SNV)和一阶导数光谱预处理。该模型用于预测一组48片独立片剂,预测的均方根标准误差(RMSEP)为0.14毫克,每片的偏差仅为-0.05毫克。研究表明,透射近红外光谱法是低药物含量片剂无损检测的可行替代方法,可用于在工艺开发过程中分析大量片剂,并作为检测药物团聚和评估工艺改进效果的工具。

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