2026-04-25T08:30:38Z https://www.eurjchem.com/index.php/eurjchem/oai

oai:ojs.www.eurjchem.com:article/2122 2022-04-02T04:44:19Z eurjchem:ART driver

Multivariate analysis of images in spectrophotometric methods: Quantification of soil organic matter Morais, Pedro Augusto de Oliveira Souza, Diego Mendesde Madari, Beata Emoke Scanner Digital images Soil organic matter Spectrophotometry Partial least squares Walkley-Black method Soil organic matter (SOM) is usually quantified by Walkley-Black titration method or using a spectrophotometric method. This study proposes an alternative method for quantification of SOM using digital image from scanner and mathematical algorithms to replace titration and spectrophotometry procedures. For this, after SOM oxidation by potassium dichromate, digital images were acquired. Posteriorly, extraction of RGB color histograms from images have occurred, followed by the use of multivariate calibration method: partial least squares (PLS). Six soil samples were analyzed. We used the Walkley-Black method as reference. SOM was estimated by images using the PLS tool. The new method, besides being a fast, low cost, and more operational alternative, presented statistically equal results in relation to the reference method, as assessed by the Student t-test and F-test at 95 % confidence. Atlanta Publishing House LLC 2021-12-31 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf https://www.eurjchem.com/index.php/eurjchem/article/view/2122 10.5155/eurjchem.12.4.377-381.2122 European Journal of Chemistry; Vol. 12 No. 4 (2021): December 2021; 377-381 2153-2257 2153-2249 eng https://www.eurjchem.com/index.php/eurjchem/article/view/2122/pdf_2122 Copyright (c) 2021 Authors