Application of Chemometric Methods in X-Ray Diffraction Data on Arabica Coffee Management Soils in Brazil

IF 4.1 Q2 CHEMISTRY, ANALYTICAL
Renata Vieira da Silva, Marcos Valério Vieira Lyrio, Roberta Quintino Frinhani, Lucas Louzada Pereira, Paulo Roberto Filgueiras, Marcos Antônio Ribeiro
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Abstract

Soil mineralogy, analysed by x-ray diffraction (XRD), is crucial to understanding its variability and influence on physical and chemical properties. However, soil analysis by XRD faces challenges, especially with large sample volumes and subjective interpretation. This study proposes a simplified methodology for sample preparation and soil analysis by XRD, which is associated with the principal component analysis (PCA). Two PCA models were built: one using semiquantitative percentages of minerals and another based on diffraction intensities. After analysing 90 samples from nine farms producing Coffea arabica, the results suggest greater efficiency in identifying clusters related to mineralogical composition, offering a fast and objective approach to soil characterization.

Abstract Image

化学计量学方法在巴西阿拉比卡咖啡经营土壤x射线衍射数据中的应用
通过x射线衍射(XRD)分析土壤矿物学,对于了解其变异性及其对物理和化学性质的影响至关重要。然而,用XRD进行土壤分析面临着挑战,特别是在样本量大和主观解释的情况下。本文提出了一种与主成分分析(PCA)相结合的简化的XRD样品制备和土壤分析方法。建立了两种主成分分析模型:一种基于矿物的半定量百分比,另一种基于衍射强度。在分析了来自9个种植阿拉比卡咖啡的农场的90个样本后,结果表明,在识别与矿物组成相关的簇方面效率更高,为土壤表征提供了一种快速客观的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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