The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The Role of Multivariant Analysis on the Interpretation of FTIR and Raman Spectra
|
|
Author(s): Sefa Celik (Istanbul University, Turkey), Ali Tugrul Albayrak (Istanbul University-Cerrahpasa, Turkey), Sevim Akyuz (Istanbul Kultur University, Turkey)and Aysen E. Ozel (Istanbul University, Turkey)
Copyright: 2020
Pages: 26
Source title:
Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications
Source Author(s)/Editor(s): Eugenia Gabriela Carrillo-Cedillo (Universidad Autónoma de Baja California, Mexico), José Antonio Rodríguez-Avila (Universidad Autónoma del Estado de Hidalgo, Mexico), Karina Cecilia Arredondo-Soto (Universidad Autónoma de Baja California, Mexico)and José Manuel Cornejo-Bravo (Universidad Autónoma de Baja California, Mexico)
DOI: 10.4018/978-1-7998-1518-1.ch005
Purchase
|
Abstract
FTIR and Raman spectroscopy are complementary spectroscopic techniques that play an important role in the analysis of molecular structure and the determination of characteristic vibrational bands. Vibrational spectroscopy has a wide range of applications including mainly in physics and biology. Its applications have gained tremendous speed in the field of biological macromolecules and biological systems, such as tissue, blood, and cells. However, the vibrational spectra obtained from the biological systems contain a large number of data and information that make the interpretation difficult. To facilitate the analysis, multivariant analysis comprising the reduction of the dimension of spectrum data and classification of them by eliminating redundancy data, which are obtained from the spectra and does not have any role, becomes critical. In this chapter, the applications of Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and their combination PCA-LDA, which are widely used among multivariant techniques on biological systems will be disclosed.
Related Content
|
Daniel A. Beysens, Yves Garrabos, Bernard Zappoli.
© 2021.
31 pages.
|
|
Sakir Amiroudine.
© 2021.
23 pages.
|
|
Lin Chen.
© 2021.
57 pages.
|
|
Victor Emelyanov, Alexander Gorbunov, Andrey Lednev.
© 2021.
49 pages.
|
|
Nitesh Kumar, Dipankar Narayan Basu, Lin Chen.
© 2021.
22 pages.
|
|
Kazuhiro Matsuda, Masanori Inui.
© 2021.
35 pages.
|
|
Lin Chen.
© 2021.
51 pages.
|
|
|