Molecular spectroscopy as an analytical tool for the detection of oral cancer

Oral cancer is the eighth most common cancers worldwide which represents a significant disease burden, therefore, the development of early detection of cancer using non-invasive method is needed. Due to large information contained in molecular spectroscopy, the chemometrics or multivariate data analysis is used to treat large data sets obtained from the spectra. Some spectroscopic techniques including infrared and Raman spectroscopy combined with classification chemometrics such as principal component analysis, hierarchal cluster analysis and linear-, partial least square-discriminant analysis is very effective and efficient for classification and discrimination of healthy individuals and patients with oral cancers. © IOP Publishing Ltd 2023.