Open AccessPast, Present and Future of Multivariate Calibration in Analytical Chemistry
Author(s) -
Héctor C. Goicoechea
Publication year - 2021
Publication title -
brjac brazilian journal of analytical chemistry
Language(s) - English
Resource type - Journals
eISSN - 2179-3433
pISSN - 2179-3425
DOI - 10.30744/brjac.2179-3425.point-of-view-hcgoicoechea
Subject(s) - chemometrics , multivariate statistics , calibration , computer science , analytical chemistry (journal) , chemistry , management science , biochemical engineering , mathematics , chromatography , engineering , statistics , machine learning
Booksh and Kowalski, in their outstanding report, stressed that analytical chemistry has its own theory, which we all know as chemometrics. The authors indicated that chemometrics “can be used to specify exactly what information can be extracted from the data produced by any analytical instrument or method”. In accordance with this argument, it can be stated that multivariate calibration (MVC) has historically been applied to analytical chemistry, becoming one of the most important tools of chemometrics.