Conditions affecting oxide quantification in unknown tropical soils via handheld X-ray fluorescence spectrometer

Santana, Monna Lysa Teixeira; Ribeiro, Bruno Teixeira; Silva, Sérgio Henrique Godinho; Pôggere, Giovana Clarice; Guilherme, Luiz Roberto Guimarães; Curi, Nilton

doi:10.1071/sr18099

Cited by 13 publications

(4 citation statements)

References 15 publications

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“…In a preliminary study, only Fe 2 O 3 and TiO 2 yielded adequate fit values for linear regressions (Silva et al, 2018). Santana et al (2018) found adequate results for predicting SAD Fe 2 O 3 and TIO 2 for Brazilian soils. In this study, this trend was confirmed in addition to an adequate adjustment for P 2 O 5 contents, which has not been previously reported.…”

Section: Simple Linear Regression Modeling and Predictionsmentioning

confidence: 83%

“…Again, as SAD quantifies mainly the elemental content of the clay fraction (Resende et al, 1987), portions of Si and Al detected by pXRF were not quantified by SAD, hindering an adequate fit of linear regressions between these values. Another factor that may have influenced the adjustment of these prediction models is the low recovery values obtained for Si and Al, probably due to factors that influence the pXRF analysis, such as particle size, moisture, sample weight, sample preparation, data collection, and instrument alignment (Weindorf et al, 2014;Silva et al, 2018;Santana et al, 2018;Ribeiro et al, 2018;Peinado et al, 2010), although the samples of this study were analyzed in similar conditions regarding these influencing factors. In fact, this may be a constraint to the pXRF analysis if such factors are not taken into account.…”

Section: Simple Linear Regression Modeling and Predictionsmentioning

confidence: 99%

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Modeling and prediction of sulfuric acid digestion analyses data from PXRF spectrometry in tropical soils

Silva

Pôggere

et al. 2020

Sci. agric. (Piracicaba, Braz.)

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Sulfuric acid digestion analyses (SAD) provide useful information to environmental studies, in terms of the geochemical balance of nutrients, parent material uniformity, nutrient reserves for perennial crops, and mineralogical composition of the soil clay fraction. Yet, these analyses are costly, time consuming, and generate chemical waste. This work aimed at predicting SAD results from portable X-ray fluorescence (pXRF) spectrometry, which is proposed as a "green chemistry" alternative to the current SAD method. Soil samples developed from different parent materials were analyzed for soil texture and SAD, and scanned with pXRF. The SAD results were predicted from pXRF elemental analyses through simple linear regressions, stepwise multiple linear regressions, and random forest algorithm, with and without incorporation of soil texture data. The modeling was developed with 70 % of the data, while the remaining 30 % was used for validation through calculation of R 2 , adjusted R 2 , root mean square error, and mean error. Simple linear regression can accurately predict SAD results of Fe 2 O 3 (R 2 0.89), TiO 2 (R 2 0.96) , and P 2 O 5 (R 2 0.89). Stepwise regressions provided accurate predictions for Al 2 O 3 (R 2 0.87) and Ki-molar weathering index (SiO 2 /Al 2 O 3) (R 2 0.74) by incorporating soil texture data, as well as for SiO 2 (R 2 0.61). Random forest also provided adequate predictions, especially for Fe 2 O 3 (R 2 0.95), and improved results of Kr-molar weathering index (SiO 2 /(Al 2 O 3 + Fe 2 O 3)) (R 2 0.66), by incorporation of soil texture data. Our findings showed that the SAD results could be accurately predicted from pXRF data, decreasing costs, time and the production of laboratory waste.

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Section: Simple Linear Regression Modeling and Predictionsmentioning

confidence: 83%

Section: Simple Linear Regression Modeling and Predictionsmentioning

confidence: 99%

Modeling and prediction of sulfuric acid digestion analyses data from PXRF spectrometry in tropical soils

Silva

Pôggere

et al. 2020

Sci. agric. (Piracicaba, Braz.)

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“…The pXRF analysis is fast, non-destructive, environmentally friendly, allowing the determination of several elements simultaneously (e.g., from Mg to U) in-situ or ex-situ within the order of seconds. The Soil Science has been greatly benefited from pXRF analysis (Ribeiro et al, 2017;Ribeiro et al, 2018;Santana et al, 2018;Silva et al, 2018;Mancini et al, 2019, Weindorf et al, 2014Stockmann et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Elemental concentration via portable x-ray fluorescence spectrometry: Assessing the impact of water content

et al. 2019

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Portable X-ray fluorescence (pXRF) analysis can be considered one of the main recent advances for chemical characterization of earth materials. The water content of the samples can affect the pXRF performance. As a novelty, we aimed to establish relationships (linear regression) between the effect of water content on pXRF results and atomic number (Z) of the elements. Three certified reference materials (CRM) were investigated: OREAS 100a, OREAS 101a, and OREAS 101b. These materials were saturated (0.68 g g-1) with distilled water and left to air-dry naturally. During the drying, the elemental concentrations (C) were determined at different water contents using a pXRF spectrometer. For each water content, the ratio Cwet/Cdry was determined and plotted against the water content. The attenuation coefficient (σ) was also determined. High σ values mean more influence of water content upon measurement element concentration. The obtained recovery rates allowed a qualitative determination. The concentration for the most elements reduced linearly with increasing water content. A predictable behavior of the water content on pXRF results as function of atomic number was not found. Elements identified by Lα spectral line with highest Z were more impacted by water content than elements identified by Kα line with lowest Z. Ti, Cr and Fe was not significantly influenced by water content, and Sr was the most impacted. Our findings contribute to decision-making before characterization earth materials via pXRF, obliging the use of dry samples for determination of impacted elements or by using moisture-corrected data.

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“…The rapid determination of SiO2, Al2O3, and Fe2O3 allow for the development of easy, in-field weathering indices supporting the soil classification and soil-related studies (Stockmann et al, 2016). Santana et al (2018) found that pXRF satisfactorily assessed the Fe2O3 content in several Brazilian soil samples compared to sulfuric acid digestion.…”

Section: Descriptive Statistics Of Pxrf Datamentioning

confidence: 75%

Diagnóstico da fertilidade do solo e do nível tecnológico de propriedades rurais no Triângulo Mineiro e Alto Paranaíba

Lima¹

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sua colaboração na caracterização de solos tropicais via fluorescência de raios-X portátil, pela minuciosa revisão e submissão do manuscrito referente ao capítulo 4 desta tese. À equipe do Laboratório de Solos, LABAS, Angélica Borges pela amizade, auxílio e boas conversas. Ao Manuel, Marinho, Gilda e Jéssica, pela ajuda e orientação. Ao Prof. Dr. Jair Rocha Prado pela sua relevante contribuição na realização e revisão das análises estatísticas. Aos professores Dr. Gilberto Corrêa, Dr. Hamilton Seron e Dra. Denise Santana por todos ensinamentos transmitidos ao longo do curso e, também, aos demais professores do corpo docente do Programa de Pós-Graduação em Agronomia da UFU. Ao Prof. Dr. Hildeu Ferreira da Assunção por todas oportunidades concedidas, pelos ensinamentos, amizade e confiança. Devo muito do que conquistei a você. Minha gratidão! Aos agricultores que aceitaram participar desta pesquisa e que gentilmente abriram as portas de suas propriedades para a nossa equipe. Aos alunos de graduação João Vitor, Danilo, Athos Gabriel, André, Bruno Ozzy, Vinícius, Diogo e Pamela. O auxílio de vocês foi fundamental para a realização deste trabalho. Obrigada pelo grande apoio durante o trabalho de campo. À Profa. Adriane de Andrade Silva que também colaborou com a primeira etapa de amostragem de solo deste trabalho. Muito obrigada! Aos colegas de pós-graduação Camila Carvalho, Thiago Prudente, Raphael Passaglia, Mara Lúcia, Gabriela (Gabi), Camila Borges e Atalita, com quem pude compartilhar muitos momentos de trabalho, estudo, troca de conhecimentos e boas conversas. Aos meus pais, Eleno Duarte de Lima (in memoriam) e Delvina de Melo Pereira Lima meus afetuosos agradecimentos. Devo tudo o que sou e minhas conquistas a vocês que sempre incentivaram meus estudos, pois acreditavam no poder transformador da educação. Obrigada por todo amor, carinho e dedicação! Ao Bruno, meu namorado, meus sinceros agradecimentos pelas sugestões, orientações e ensinamentos, que foram essenciais para a concretização deste trabalho. Agradeço, também, por compreender meu "stress", minha ausência e as minhas dificuldades. Obrigada pelo companheirismo, amor e pelos momentos felizes que compartilhamos nesses últimos anos. Amo você! Às minhas irmãs Polyana e Danyla, que, mesmo à distância, se fazem presentes. Agradeço imensamente pelo apoio, conselhos, amor e amizade. Às minhas queridas e amadas sobrinhas Helena, Letícia e Heloísa: vocês trazem alegria para nossas vidas. Não poderia deixar de incluir o Alessandro R. Assis, meu cunhado favorito. Vocês são meu porto seguro! Aos amigos de Monte Carmelo Andressa, Renata, Ricardo Mirela, Luana Pena, Daniela, Nayra e Everson que integram a minha família Carmelitana. Agradeço pela amizade, companhia e pelo convívio divertido e prazeroso. Às minhas amigas Camila Carvalho, Sandra, Mariza Assunção e Marisa Sousa pela amizade, carinho e por estarem sempre me apoiando e torcendo por mim. A todos que, direta ou indiretamente, contribuíram para a realização deste trabalho.

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Conditions affecting oxide quantification in unknown tropical soils via handheld X-ray fluorescence spectrometer

Cited by 13 publications

References 15 publications

Modeling and prediction of sulfuric acid digestion analyses data from PXRF spectrometry in tropical soils

Modeling and prediction of sulfuric acid digestion analyses data from PXRF spectrometry in tropical soils

Elemental concentration via portable x-ray fluorescence spectrometry: Assessing the impact of water content

Diagnóstico da fertilidade do solo e do nível tecnológico de propriedades rurais no Triângulo Mineiro e Alto Paranaíba

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