分光光度法中图像的多变量分析:土壤有机质定量

P. A. Morais, Diego Mendes de Souza, B. Madari
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引用次数: 0

摘要

土壤有机质(SOM)的定量通常采用Walkley-Black滴定法或分光光度法。本研究提出了一种定量SOM的替代方法,使用扫描仪的数字图像和数学算法来取代滴定法和分光光度法。为此,SOM经重铬酸钾氧化后,获得数字图像。随后,从图像中提取RGB颜色直方图,然后使用多元校准方法:偏最小二乘(PLS)。对6个土壤样品进行了分析。我们参考了Walkley-Black方法。利用PLS工具对图像进行SOM估计。新方法除了是一种快速、低成本、更具可操作性的替代方法外,与参考方法相比,其统计结果是相同的,经学生t检验和f检验,置信度为95%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multivariate analysis of images in spectrophotometric methods: Quantification of soil organic matter
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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