Pre-processing Applied to Instrumental Data in Analytical Chemistry: A Brief Review of the Methods and Examples

化学计量学 规范化(社会学) 数据处理 仪表(计算机编程) 平滑的 计算机科学 领域(数学) 校准 分析技术 过程分析技术 化学 生化工程 工艺工程 机器学习 数学 工程类 统计 在制品 社会学 操作系统 计算机视觉 有机化学 运营管理 人类学 纯数学
作者
Buddhi Dayananda,Stephanie Owen,Adam Kolobaric,James Chapman,Daniel Cozzolino
出处
期刊:Critical Reviews in Analytical Chemistry [Taylor & Francis]
卷期号:54 (8): 2745-2753 被引量:15
标识
DOI:10.1080/10408347.2023.2199864
摘要

The field of analytical chemistry has been significantly advanced by the availability of state-of-the-art instrumentation, allowing for the development of novel applications in this field. However, in many cases, the direct interpretation of the recorded data is often not straightforward, hence some level of pre-processing is required (e.g., baseline correction, derivatives, normalization, smoothing). These techniques have become a critical first step for the successful analysis of the data recorded, and it is recommended to use them before the application of chemometrics (e.g., classification, calibration development). The aim of this paper is to provide with an overview of the most used pre-processing methods applied to instrumental analytical methods (e.g., spectroscopy, chromatography). Examples of their application in near infrared and UV-VIS spectroscopy as well as in gas chromatography will be also discussed. Overall, this paper provides with a comprehensive understanding of pre-processing techniques in analytical chemistry, highlighting their importance during the analysis and interpretation of data, as well as during the development of accurate and reliable chemometric models.
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