Progress of Complex System Process Analysis Based on Modern Spectroscopy Combined With Chemometrics

IF 2.1 4区 化学 Q1 SOCIAL WORK
Maogang Li, Qi Cai, Tianlong Zhang, Hongsheng Tang, Hua Li
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引用次数: 0

Abstract

In recent years, the role of analytical chemistry has undergone a gradual transformation, evolving from a mere participant to a pivotal decision-maker in process optimisation. This shift can be attributed to the advent of sophisticated analytical instrumentation, which has ushered in a new era of analytical capabilities. This article presents a review of the developments in the application of intelligent analysis techniques, including infrared (IR) spectroscopy, Raman spectroscopy, and laser-induced breakdown spectroscopy (LIBS), in the processing of complex systems over the past decade. The review provides an introduction to the fundamental principles of these analytical techniques and examines the evolution of their instrumentation to accommodate online process monitoring. The analysis of spectral data in complex system processes represents a fundamental aspect of the attainment of on-site quality monitoring, process optimisation and control. Accordingly, the review provides a comprehensive overview of the methodologies employed in process chemometrics, encompassing spectral preprocessing, feature selection, modelling techniques, and optimisation strategies for model performance. Furthermore, this article presents a summary of three intelligent spectral analysis tools, namely infrared spectroscopy, Raman spectroscopy, and LIBS, which are widely employed in process simulation, monitoring, optimisation, and control across multiple disciplines, including the environment, energy, biology, and food. The objective of this review is to provide a valuable reference point and guidance for the further promotion and utilisation of spectral intelligent analysis instruments, with the aim of promoting their in-depth application and development in a greater number of fields.

现代光谱学与化学计量学相结合的复杂系统过程分析研究进展
近年来,分析化学的作用经历了一个渐进的转变,从一个纯粹的参与者演变为过程优化的关键决策者。这种转变可以归因于复杂分析仪器的出现,它开创了分析能力的新时代。本文综述了近十年来红外光谱、拉曼光谱、激光诱导击穿光谱等智能分析技术在复杂系统分析中的应用进展。该综述介绍了这些分析技术的基本原理,并研究了其仪器的演变,以适应在线过程监测。复杂系统过程中光谱数据的分析是实现现场质量监测、过程优化和控制的一个基本方面。因此,该综述提供了过程化学计量学中使用的方法的全面概述,包括光谱预处理,特征选择,建模技术和模型性能的优化策略。此外,本文还介绍了三种智能光谱分析工具,即红外光谱、拉曼光谱和LIBS,它们广泛应用于环境、能源、生物和食品等多个学科的过程模拟、监测、优化和控制。本文综述的目的是为光谱智能分析仪器的进一步推广和利用提供有价值的参考和指导,以促进其在更多领域的深入应用和发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Chemometrics
Journal of Chemometrics 化学-分析化学
CiteScore
5.20
自引率
8.30%
发文量
78
审稿时长
2 months
期刊介绍: The Journal of Chemometrics is devoted to the rapid publication of original scientific papers, reviews and short communications on fundamental and applied aspects of chemometrics. It also provides a forum for the exchange of information on meetings and other news relevant to the growing community of scientists who are interested in chemometrics and its applications. Short, critical review papers are a particularly important feature of the journal, in view of the multidisciplinary readership at which it is aimed.
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