Focusing near Infrared Spectroscopy on the Business Objectives of Modern Pharmaceutical Production

作者
T.G. Axon,Roland Brown,Stephen V. Hammond,Simon Maris,Fan Ting
出处
期刊:Journal of Near Infrared Spectroscopy [SAGE Publishing]
卷期号:6 (A): A13-A19 被引量:13
标识
DOI:10.1255/jnirs.161
摘要

The early use of near infrared (NIR) spectroscopy in the pharmaceutical industry was for raw material identification, later moving on to some conventional “calibrations” for various ingredients in a variety of sample types. The approach throughout this development process has always been “conventional” with one measurement by NIR directly replacing some other slower method, be it Mid-IR identification, or determinations by Karl Fischer, high performance liquid chromatography (HPLC)etc. A significant change in approach was demonstrated by Plugge and Van der Vlies 1 in 1993, where a qualitative system was used to provide “quantitative like” answers for potency of a drug substance. Following on from that key paper, there has been a realisation that the qualitative analysis ability of NIR, has the potential to be a powerful tool for process investigation, control and validation. The final step has been to develop “model free” approaches, that consider individual data sets as unique systems, and present the opportunity for NIR to escape the shackles of “calibration” in one form or another. The use of qualitative, or model free, approaches to NIR spectroscopy provides an effective tool for satisfying many of the demands of modern pharmaceutical production. “Straight through production,” “right first time,” “short cycle time” and “total quality management” philosophies can be realised. Eventually the prospect of parametric release may be materialised with a strong contribution from NIR spectroscopy. This paper will illustrate the above points with some real life examles.

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
bob完成签到,获得积分10
1秒前
1秒前
1秒前
X123完成签到,获得积分10
1秒前
1秒前
孙微祥发布了新的文献求助10
1秒前
yuxyu完成签到 ,获得积分10
1秒前
思源的应助被DavidWebb采纳,获得10
1秒前
1秒前
1秒前
2秒前
儒雅小蜜蜂完成签到 ,获得积分10
2秒前
汉堡国王完成签到,获得积分10
2秒前
隐形曼青的应助被liu采纳,获得10
2秒前
英吉利25发布了新的文献求助30
2秒前
justdoit发布了新的文献求助10
2秒前
poker发布了新的文献求助10
3秒前
Mars完成签到,获得积分10
3秒前
思源的应助被橙子采纳,获得10
3秒前
3秒前
七听发布了新的文献求助30
3秒前
七听发布了新的文献求助30
3秒前
七听发布了新的文献求助30
3秒前
七听发布了新的文献求助30
3秒前
3秒前
七听发布了新的文献求助30
4秒前
152455发布了新的文献求助10
4秒前
自信的发箍关注了科研通微信公众号
4秒前
小二郎的应助被冬天采纳,获得10
4秒前
粗暴的如花完成签到,获得积分20
4秒前
丘比特的应助被天真脸采纳,获得10
4秒前
健康的筮发布了新的文献求助10
4秒前
lvzhechen发布了新的文献求助10
5秒前
聪明雨灵发布了新的文献求助30
5秒前
天天发布了新的文献求助10
5秒前
5秒前
瑞仔发布了新的文献求助10
5秒前
pikelet发布了新的文献求助20
6秒前
李健的应助被周周周采纳,获得10
6秒前
6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
Les Mantodea De Guyane 2000
Energie-Contracting 1500
内視鏡下経鼻経蝶形骨洞手術術後SIADHに対する予防的水制限の安全性と有効性の検討 1000
Stochastic Models in Operations Research,Vol. 2 600
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8018457
求助须知:如何正确求助?哪些是违规求助? 9463592
关于积分的说明 21199726
捐赠科研通 7589277
什么是DOI,文献DOI怎么找? 3385966
关于科研通互助平台的介绍 2518478
邀请新用户注册赠送积分活动 2421119