Abstract

ADVANCES IN CHEMOMETRIC TECHNIQUES AND THEIR APPLICATIONS: A REVIEW

Jissa K. Ninan*, Aneena George. M, Kavitha M. P., Varun Dev, K. Krishnakumar

ABSTRACT

Chemometrics is an approach for applying mathematical and statistical techniques to analytical data with the aim of maximise the amount of valuable information that can be extracted. It is a part of chemistry that analyses chemical data to provide the most pertinent chemical information and designs or chooses the best measurement techniques and experiments using formal logic, mathematics, statistics, and other techniques. Calibration, process modelling, pattern identification and classification, signal rectification and compression, statistical process control, and multivariate data collecting and analysis techniques are all applications of chemometrics. Chemometrics is used to answer both descriptive and predictive problems in the biological sciences. Among the often employed process analysers in the industry are visible spectroscopy, nuclear magnetic resonance (NMR) spectroscopy, mid-infrared (MIR) spectroscopy, near-infrared (NIR) spectroscopy, and Fourier transform infrared (FTIR) spectroscopy. Certain techniques are employed to make it easier to analyse and model the copious amounts of data that the aforementioned process analysers provide include principal component analysis (PCA), partial least squares (PLS) regression, and principal component regression (PCR). Tablet hardness, flow characteristics, quality control, identifying authenticity and quality, predicting drug content, standardisation and authentication and quality by design are some of the applications of Chemometrics.

Keywords: Chemometrics, Principal Component Analysis, Factor Analysis, Partial Least Squares, Artificial Neural Networks.