Multivariate analysis of images in spectrophotometric methods: Quantification of soil organic matter

Pedro Augusto de Oliveira Morais; Diego Mendesde Souza; Beata Emoke Madari

doi:10.5155/eurjchem.12.4.377-381.2122

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Published: Dec 31, 2021

DOI: https://doi.org/10.5155/eurjchem.12.4.377-381.2122

Keywords:

Scanner, Digital images, Soil organic matter, Spectrophotometry, Partial least squares, Walkley-Black method

Section

Research Article

Issue

Vol. 12 No. 4 (2021): December 2021

Dates

Received 2021-05-05
Accepted 2021-06-23
Published 2021-12-31

Pedro Augusto de Oliveira Morais

Brazilian Agricultural Research Corporation (EMBRAPA Arroz e Feijão), Santo Antônio de Goiás, GO 75375-000, Brazil

https://orcid.org/0000-0002-6032-3886

Diego Mendesde Souza

Instituto de Criminalística, Polícia Civil do Distrito Federal, 70610-907, Brasília, DF, Brazil

https://orcid.org/0000-0002-3634-971X

Beata Emoke Madari

Brazilian Agricultural Research Corporation (EMBRAPA Arroz e Feijão), Santo Antônio de Goiás, GO 75375-000, Brazil

https://orcid.org/0000-0002-6242-6619

Abstract

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.

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Morais, P. A. de O.; Souza, D. M.; Madari, B. E. Multivariate Analysis of Images in Spectrophotometric Methods: Quantification of Soil Organic Matter. Eur. J. Chem. 2021, 12, 377-381.

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Supporting Agencies

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil

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