Suppr超能文献

利用近红外(NIR)光谱法对片剂中的微粉化药物和赋形剂进行在线定量:压片过程的实时监测。

In-line quantification of micronized drug and excipients in tablets by near infrared (NIR) spectroscopy: Real time monitoring of tabletting process.

机构信息

GEA-NUS Pharmaceutical Processing Research Laboratory, Department of Pharmacy, National University of Singapore, 18 Science Drive 4, Singapore 117543, Singapore.

出版信息

Int J Pharm. 2010 Aug 30;396(1-2):63-74. doi: 10.1016/j.ijpharm.2010.06.011. Epub 2010 Jun 15.

Abstract

The objectives of this study were to assess the utility of near infrared (NIR) spectroscopy for simultaneous in-line quantification of the contents of drug and excipients in tablets and to monitor the tabletting process in real time. Direct compression tablet formulations comprising micronized chlorpheniramine maleate, lactose, microcrystalline cellulose and magnesium stearate were used. A custom built NIR setup was used for in-line spectral acquisition (980-1900nm with 1nm resolution) during the tabletting process. Calibration models using dynamic spectral acquisition were prepared and validated using design of experiment approach. During tabletting, stratified sampling of tablets was also carried out to compare the NIR prediction results and subsequent UV analysis results for drug content. The results obtained with calibration and validation statistics confirmed the accuracy of models used to predict contents of tablet components. Stratified sampling results for drug content did not exhibit any significant statistical variation. However, in-line quantification enabled the content analysis of individual tablets in the production batch and detection of content uniformity problems towards the end of the tabletting process. Furthermore, it provided the assurance of in-process content uniformity monitoring of the individual excipients during the tabletting process.

摘要

本研究的目的是评估近红外(NIR)光谱法在同时在线定量片剂中药物和赋形剂含量方面的应用,并实时监测压片过程。使用包含马来酸氯苯那敏微粉化、乳糖、微晶纤维素和硬脂酸镁的直接压片配方。在压片过程中,使用定制的 NIR 装置进行在线光谱采集(980-1900nm,分辨率为 1nm)。使用实验设计方法制备并验证了使用动态光谱采集的校准模型。在压片过程中,还进行了分层取样,以比较 NIR 预测结果和随后的药物含量 UV 分析结果。校准和验证统计数据的结果证实了用于预测片剂成分含量的模型的准确性。药物含量的分层取样结果没有表现出任何显著的统计差异。然而,在线定量能够分析生产批次中各个片剂的含量,并在压片过程接近尾声时检测到含量均匀性问题。此外,它还能确保在压片过程中对各个赋形剂进行过程中含量均匀性监测。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验