Advances in Tropical Soil Characterization via Portable X-Ray Fluorescence Spectrometry

Elen A.SILVA; David C.WEINDORF; Sérgio H.G.SILVA; Bruno T.RIBEIRO; Giovana C.POGGERE; Teotonio S.CARVALHO; Mariana G.M.GON(C)ALVES; Luiz R.G.GUILHERME; Nilton CURI

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Advances in Tropical Soil Characterization via Portable X-Ray Fluorescence Spectrometry

机译：便携式X射线荧光光谱法表征热带土壤的研究进展

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Portable X-ray fluorescence (pXRF) spectrometers can be used to determine the elemental composition easily,rapidly,and without using chemical reagents,which is very important for tropical regions due to the lack of detailed soil characterization data.Moreover,pXRF data can be used to predict the results of more expensive,time-consuming,and conventional laboratory analyses.This study sought to determine the elemental composition of various soil profiles using pXRF.Two operational modes (Trace Mode and General Mode) and two scanning time (30 and 60 s) were assessed to determine their effects on the correlation of pXRF dataset with respect to conventional inductively coupled plasma (ICP)-optical emission spectrometry analysis.This relationship has been reported in previous studies,however,few studies were performed on tropical soils,which are unique.Furthermore,such relationships establish the viability of developing prediction models directly from pXRF data.Linear regression was applied to develop calibration models for the prediction of ICP analysis results and exchangeable and available elemental contents based on pXRF data.High coefficients of determination (R2) were obtained for Ca (0.87),Cu (0.90),Fe (0.95),Mn (0.85),Cr (0.95),V (0.72),and Ni (0.90),with adequate validation.Statistically significant results were not found for Al,K,Zn,Ti,and Zr.The models predicting the exchangeable Ca based on the total Ca from pXRF reached an R2 of up to 0.85.Operational modes influenced the pXRF results.Our results illustrate that pXRF holds great promise for tropical soil characterization and the development of prediction models,justifying the need for larger-scale studies in tropical countries worldwide.

机译：便携式X射线荧光（pXRF）光谱仪可轻松，快速，无需使用化学试剂即可确定元素组成，由于缺乏详细的土壤表征数据，这对热带地区非常重要。用于预测更昂贵，耗时和常规实验室分析的结果。本研究试图使用pXRF确定各种土壤剖面的元素组成。两种操作模式（跟踪模式和常规模式）和两种扫描时间（30和评估了60 s），以确定它们对pXRF数据集与常规电感耦合等离子体（ICP）-光发射光谱分析法相关性的影响。这种关系在以前的研究中已有报道，但是，在热带土壤上进行的研究很少，而且，这些关系直接建立了从pXRF数据开发预测模型的可行性。应用了线性回归建立基于pXRF数据预测ICP分析结果以及可交换和可用元素含量的校准模型.Ca（0.87），Cu（0.90），Fe（0.95），Mn（0.85）的测定系数（R2）高），Cr（0.95），V（0.72）和Ni（0.90），并进行了充分验证.Al，K，Zn，Ti和Zr的统计结果均无统计学意义。基于总含量预测可交换Ca的模型来自pXRF的Ca的R2高达0.85。操作模式影响了pXRF结果。我们的结果表明，pXRF对热带土壤的表征和预测模型的发展具有广阔的前景，从而有理由在全球范围内对热带国家进行大规模研究。

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《土壤圈（英文版）》 |2019年第4期|468-482|共15页
作者
Elen A.SILVA; David C.WEINDORF; Sérgio H.G.SILVA; Bruno T.RIBEIRO; Giovana C.POGGERE; Teotonio S.CARVALHO; Mariana G.M.GON(C)ALVES; Luiz R.G.GUILHERME; Nilton CURI;
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作者单位

Department of Soil Science, Federal University of Lavras, Lavras 37200-000 ,Brazil;

Department of Plant and Soil Science, Texas Tech University, Texas 79409-2122 ,USA;

Department of Soil Science, Federal University of Lavras, Lavras 37200-000 ,Brazil;

Department of Soil Science, Federal University of Lavras, Lavras 37200-000 ,Brazil;

Department of Soil Science, Federal University of Lavras, Lavras 37200-000 ,Brazil;

Department of Soil Science, Federal University of Lavras, Lavras 37200-000 ,Brazil;

Department of Soil Science, Federal University of Lavras, Lavras 37200-000 ,Brazil;

Department of Soil Science, Federal University of Lavras, Lavras 37200-000 ,Brazil;

Department of Soil Science, Federal University of Lavras, Lavras 37200-000 ,Brazil;

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Advances in Tropical Soil Characterization via Portable X-Ray Fluorescence Spectrometry

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