FTIR spectroscopy is a measurement technique used to obtain an infrared spectrum of absorption of a solid (or a liquid or a gas), for the characterization of specific chemical components of materials. When repeated measures are taken on samples of materials, the result is a collection of spectra representing a set of samples from continous functions (signals) defined in the domain of the frequencies. An unifying approach to the study of a collection of FTIR spectra is proposed to deal with the presence of random shifts in the peaks, the identification of representative spectra and finally the characterization of the observed differences: in the functional data framework, the performance of a new proposal for alignment of curves and their assignment to clusters of shapes with an intrinsic order is presented and discussed.

Francesca Di Salvo, E.P. (2020). FDA dimension reduction techniques and components separation in Fourier-transform infrared spectroscopy. In Pollice A, Salvati N, Schirripa Spagnolo F (a cura di), BOOK OF SHORT PAPER SIS 2020 (pp. 840-845). Pearson.

FDA dimension reduction techniques and components separation in Fourier-transform infrared spectroscopy

Francesca Di Salvo
Methodology
;
Elena Piacenza
Data Curation
;
Delia Francesca Chillura Martino
Data Curation
2020-01-01

Abstract

FTIR spectroscopy is a measurement technique used to obtain an infrared spectrum of absorption of a solid (or a liquid or a gas), for the characterization of specific chemical components of materials. When repeated measures are taken on samples of materials, the result is a collection of spectra representing a set of samples from continous functions (signals) defined in the domain of the frequencies. An unifying approach to the study of a collection of FTIR spectra is proposed to deal with the presence of random shifts in the peaks, the identification of representative spectra and finally the characterization of the observed differences: in the functional data framework, the performance of a new proposal for alignment of curves and their assignment to clusters of shapes with an intrinsic order is presented and discussed.
2020
Settore SECS-S/01 - Statistica
9788891910776
Francesca Di Salvo, E.P. (2020). FDA dimension reduction techniques and components separation in Fourier-transform infrared spectroscopy. In Pollice A, Salvati N, Schirripa Spagnolo F (a cura di), BOOK OF SHORT PAPER SIS 2020 (pp. 840-845). Pearson.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/514112
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