4.7 Article

Chemometrics in analytical chemistrypart II: modeling, validation, and applications

期刊

ANALYTICAL AND BIOANALYTICAL CHEMISTRY
卷 410, 期 26, 页码 6691-6704

出版社

SPRINGER HEIDELBERG
DOI: 10.1007/s00216-018-1283-4

关键词

Calibration; Discrimination; Validation; Prediction; Omics; Hyperspectral imaging

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The contribution of chemometrics to important stages throughout the entire analytical process such as experimental design, sampling, and explorative data analysis, including data pretreatment and fusion, was described in the first part of the tutorial Chemometrics in analytical chemistry. This is the second part of a tutorial article on chemometrics which is devoted to the supervised modeling of multivariate chemical data, i.e., to the building of calibration and discrimination models, their quantitative validation, and their successful applications in different scientific fields. This tutorial provides an overview of the popularity of chemometrics in analytical chemistry.

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