Abstract

A method is described whereby the wealth of information present in the Fourier transform infrared spectrum of a material may be extracted and used to estimate useful properties of the material. Factor analysis is used to condense the data, after which the use of multiple linear regression allows correlations to be established for a calibration set, from which properties of unknown samples can be estimated.

Statistical analysis of a database of absorption spectra of phytoplankton and pigment concentrations using self-organizing maps

Aymeric Chazottes, Annick Bricaud, Michel Crépon, and Sylvie Thiria
Appl. Opt. 45(31) 8102-8115 (2006)

Acidity measurement of iron ore powders using laser-induced breakdown spectroscopy with partial least squares regression

Z.Q. Hao, C.M. Li, M. Shen, X.Y. Yang, K.H. Li, L.B. Guo, X.Y. Li, Y.F. Lu, and X.Y. Zeng
Opt. Express 23(6) 7795-7801 (2015)

Accuracy improvement of quantitative analysis in VIS-NIR spectroscopy using the GKF-WTEF algorithm

Xingwei Hou, Mengqiu Zhang, Gang Li, Han Tian, Shuqiang Yang, Xin Feng, Ling Lin, and Zhigang Fu
Appl. Opt. 58(28) 7836-7843 (2019)

Correlation of limestone beds using laser-induced breakdown spectroscopy and chemometric analysis

Nancy J. McMillan, Carlos Montoya, and Warren H. Chesner
Appl. Opt. 51(7) B213-B222 (2012)

Effects of Spectralon absorption on reflectance spectra of typical planetary surface analog materials

Hao Zhang, Yazhou Yang, Weidong Jin, Chujian Liu, and Weibiao Hsu
Opt. Express 22(18) 21280-21291 (2014)