Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/32714
Title: | DRIFT spectroscopy and permutation importance algorithm in quantitative analysis of organic matter in soil model systems | Authors: | Jović, Branislav Panić, Marko |
Keywords: | FTIR spectroscopy, Soil organic matter, PCA, Feature permutation algorithm | Issue Date: | Sep-2023 | Project: | This work was supported by the Provincial Secretariat for Science and Technological Development, Autonomous Province of Vojvodina, project no. 142–451-2198/2022–01. | Conference: | 2nd International Conference on Chemo and Bioinformatics, September 28-29, 2023. Kragujevac, Serbia | Abstract: | In order to obtain useful MIR spectrochemical data of soil organic matter for the development of remote sensing methods, synthetically prepared soils with artificial precisely defined organic matter fractions, DRIFT spectroscopy and permutation importance algorithm were used in this paper. In terms of imitation of soil organic matter, sample model systems were prepared with precisely defined added values of added organic components. After MSC and SNV spectral treatments using PCA and LDA techniques and DRIFT spectra, the soil was classified according to the percentage of organic matter. Using the KDE+permutation importance algorithm, three significant MIR spectral regions were obtained for percentage grouping: 600- 1000cm-1 (skeletal vibrations of organic matter); 1750-2250cm-1 (Total reflectance+quartz overtones) and 3250-3950cm1 (Hydroxyl groups). In terms of the potential for quantitative analysis, the calculated wavelength ranges match well with the classical spectrochemical theoretical basis of analytical methodologies. Also, extracted useful spectrochemical data can be potentially used in the development of new remote-satellite detection methods (ASTER satellite in SWIR and MIR range). | URI: | https://open.uns.ac.rs/handle/123456789/32714 | DOI: | 10.46793/ICCBI23.104J |
Appears in Collections: | IBS Publikacije/Publications |
Files in This Item:
File | Size | Format | |
---|---|---|---|
M34-2023-DRIFT spectroscopy and permutation importance algorithm in quantitative analysis of organic matter in soil model systems.pdf | 507.31 kB | Adobe PDF | View/Open |
Page view(s)
20
checked on May 3, 2024
Download(s)
1
checked on May 3, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.