Abstract

To obtain fundamental knowledge on the development of micro analyses for constituents in water, the discrimination of three varieties of commercial natural mineral water, ultra pure water and deionised water, was attempted using near infrared (NIR) spectroscopy. Both the original NIR spectra and their second derivatives were almost identical to each other for these five types of water and it was difficult to discriminate between their spectra visually. However, the use of discriminant analysis enabled the five kinds of waters to be distinguished. Principal component analysis for the second derivative spectra revealed that the independent variables of the discriminant analysis were identical with the wavelength regions affected by ionic hydration. For the discrimination of water, the original spectra were more suitable than the second derivative spectra because the baseline variation of the original spectra had the useful information for the analysis.

© 1995 NIR Publications

Comparison of principal component analysis and biochemical component analysis in Raman spectroscopy for the discrimination of apoptosis and necrosis in K562 leukemia cells

Yi Hong Ong, Mayasari Lim, and Quan Liu
Opt. Express 20(20) 22158-22171 (2012)

Optical system for tablet variety discrimination using visible/near-infrared spectroscopy

Yongni Shao, Yong He, and Xingyue Hu
Appl. Opt. 46(34) 8379-8384 (2007)

Femtosecond laser induced breakdown spectroscopy based standoff detection of explosives and discrimination using principal component analysis

Abdul Kalam Shaik, Nageswara Rao Epuru, Hamad Syed, Chandu Byram, and Venugopal Rao Soma
Opt. Express 26(7) 8069-8083 (2018)

Laser-induced breakdown spectroscopy-based geochemical fingerprinting for the rapid analysis and discrimination of minerals: the example of garnet

Daniel C. Alvey, Kenneth Morton, Russell S. Harmon, Jennifer L. Gottfried, Jeremiah J. Remus, Leslie M. Collins, and Michael A. Wise
Appl. Opt. 49(13) C168-C180 (2010)

Comparison of principal component analysis and biochemical component analysis in Raman spectroscopy for the discrimination of apoptosis and necrosis in K562 leukemia cells: errata

Yi Hong Ong, Mayasari Lim, and Quan Liu
Opt. Express 20(22) 25041-25043 (2012)