Matrix Effects in Quantitative Assessment of Pharmaceutical Tablets Using Transmission Raman and Near-Infrared (NIR) Spectroscopy

拉曼光谱 粒径 分析化学(期刊) 近红外光谱 光谱学 基质(化学分析) 材料科学 偏最小二乘回归 红外光谱学 粒子(生态学) 化学 色谱法 光学 有机化学 量子力学 统计 海洋学 数学 物理 地质学 物理化学
作者
Anders Sparén,Madeleine Hartman,Magnus Fransson,Jonas Johansson,Olof Svensson
出处
期刊:Applied Spectroscopy [SAGE Publishing]
卷期号:69 (5): 580-589 被引量:47
标识
DOI:10.1366/14-07645
摘要

Raman spectroscopy can be an alternative to near-infrared spectroscopy (NIR) for nondestructive quantitative analysis of solid pharmaceutical formulations. Compared with NIR spectra, Raman spectra have much better selectivity, but subsampling was always an issue for quantitative assessment. Raman spectroscopy in transmission mode has reduced this issue, since a large volume of the sample is measured in transmission mode. The sample matrix, such as particle size of the drug substance in a tablet, may affect the Raman signal. In this work, matrix effects in transmission NIR and Raman spectroscopy were systematically investigated for a solid pharmaceutical formulation. Tablets were manufactured according to an experimental design, varying the factors particle size of the drug substance (DS), particle size of the filler, compression force, and content of drug substance. All factors were varied at two levels plus a center point, except the drug substance content, which was varied at five levels. Six tablets from each experimental point were measured with transmission NIR and Raman spectroscopy, and their concentration of DS was determined for a third of those tablets. Principal component analysis of NIR and Raman spectra showed that the drug substance content and particle size, the particle size of the filler, and the compression force affected both NIR and Raman spectra. For quantitative assessment, orthogonal partial least squares regression was applied. All factors varied in the experimental design influenced the prediction of the DS content to some extent, both for NIR and Raman spectroscopy, the particle size of the filler having the largest effect. When all matrix variations were included in the multivariate calibrations, however, good predictions of all types of tablets were obtained, both for NIR and Raman spectroscopy. The prediction error using transmission Raman spectroscopy was about 30% lower than that obtained with transmission NIR spectroscopy.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
喜悦紫易完成签到,获得积分10
1秒前
syou_tiger发布了新的文献求助10
2秒前
3秒前
5秒前
星辰大海应助一一采纳,获得10
5秒前
6秒前
崔恒菁发布了新的文献求助10
6秒前
cytomix发布了新的文献求助10
8秒前
11秒前
12秒前
若一发布了新的文献求助30
13秒前
热情菲鹰完成签到,获得积分10
13秒前
14秒前
xueji完成签到,获得积分10
14秒前
14秒前
14秒前
战战兢兢完成签到,获得积分10
15秒前
17秒前
墨白发布了新的文献求助10
17秒前
苗条映菱发布了新的文献求助10
18秒前
标致冬日完成签到,获得积分10
18秒前
18秒前
一一完成签到,获得积分20
18秒前
动听中心发布了新的文献求助10
18秒前
kuny发布了新的文献求助10
19秒前
自行输入昵称完成签到,获得积分20
19秒前
皮皮团发布了新的文献求助10
20秒前
bkagyin应助落后绿旋采纳,获得10
20秒前
大个应助美满又蓝采纳,获得10
20秒前
kei发布了新的文献求助10
20秒前
科研通AI6.4应助美满又蓝采纳,获得10
20秒前
打打应助美满又蓝采纳,获得30
21秒前
科研通AI6.4应助美满又蓝采纳,获得10
21秒前
FashionBoy应助美满又蓝采纳,获得10
21秒前
23秒前
科研通AI6.2应助勿忘我采纳,获得10
24秒前
哒哒哒发布了新的文献求助10
25秒前
25秒前
FashionBoy应助As故采纳,获得10
25秒前
26秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Autoparametric Resonance in Mechanical Systems 1000
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7643421
求助须知:如何正确求助?哪些是违规求助? 9216521
关于积分的说明 19771930
捐赠科研通 7208833
什么是DOI,文献DOI怎么找? 3276668
关于科研通互助平台的介绍 2438241
邀请新用户注册赠送积分活动 2274414