化学计量学
软件可移植性
过程分析技术
生化工程
计算机科学
领域(数学)
数据科学
工艺工程
工程类
生物过程
机器学习
数学
化学工程
程序设计语言
纯数学
作者
Xuesong Huo,Pu Chen,Jingyan Li,Yupeng Xu,Dan Liu,Xiaoli Chu
标识
DOI:10.1080/05704928.2023.2204946
摘要
In recent years, spectral analysis methods have developed rapidly. A key feature is the use of chemometric methods to process spectral data for performing qualitative and quantitative analysis of complex mixtures. The coupling of chemometric methods to spectroscopic techniques led to distinct advantages in speed, cost, efficiency, automation, and portability compared to the traditional methods in agriculture, food, pharmaceutical, petroleum, chemical, environmental, and medical fields. This paper comments on the review papers published during the past three years (2020–2022) on the topic of the combination of spectral and chemometric methods. The development status, existing challenges, and the future direction of this field is discussed.
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