Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 6691-6704 |
| Number of pages | 14 |
| Journal | Analytical and Bioanalytical Chemistry |
| Volume | 410 |
| Issue number | 26 |
| Early online date | 2 Aug 2018 |
| DOIs | |
| Publication status | Published - 1 Oct 2018 |
Keywords
- Calibration
- Discrimination
- Hyperspectral imaging
- Omics
- Prediction
- Validation
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