化学计量学
背景(考古学)
统计的
校准
多元统计
计算机科学
生化工程
过程分析技术
工艺工程
数据挖掘
生物系统
机器学习
数学
工程类
统计
古生物学
生物
化学工程
生物过程
作者
Alessandra Biancolillo,Federico Marini
标识
DOI:10.3389/fchem.2018.00576
摘要
Spectroscopy is widely used to characterize pharmaceutical products or processes, especially due to its desirable characteristics of being rapid, cheap, non-invasive/non-destructive and applicable both off-line and in-/at-/on-line. Spectroscopic techniques produce profiles containing a high amount of information, which can profitably be exploited through the use of multivariate mathematic and statistic (chemometric) techniques. The present paper aims at providing a brief overview of the different chemometric approaches applicable in the context of spectroscopy-based pharmaceutical analysis, discussing both the unsupervised exploration of the collected data and the possibility of building predictive models for both quantitative (calibration) and qualitative (classification) responses.
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