Chemometric analysis in Raman spectroscopy from experimental design to machine learning–based modeling

Volume: 16, Issue: 12, Pages: 5426 - 5459
Published: Nov 5, 2021
Abstract
Raman spectroscopy is increasingly being used in biology, forensics, diagnostics, pharmaceutics and food science applications. This growth is triggered not only by improvements in the computational and experimental setups but also by the development of chemometric techniques. Chemometric techniques are the analytical processes used to detect and extract information from subtle differences in Raman spectra obtained from related samples. This...
Paper Details
Title
Chemometric analysis in Raman spectroscopy from experimental design to machine learning–based modeling
Published Date
Nov 5, 2021
Volume
16
Issue
12
Pages
5426 - 5459
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