Determination of organic matter in soil using near-infrared spectroscopy and partial least squares regression
Determination of organic matter in soil using near-infrared spectroscopy and partial least squares regression
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DOI：
10.1081/css-120004302
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发表时间：
2002-01-01
影响因子：
1.8
通讯作者：
Cantarella, H
中科院分区：
文献类型：
--
作者：
Fidêncio, PH;Poppi, RJ;Cantarella, H
提出了一种利用近红外光谱和偏最小二乘回归进行数据建模的土壤有机质含量测定方法。该方法被应用于两种不同类型的土壤：棕壤和乌尔蒂松。一百个土壤样本，在不同的深度间隔收集。有机质含量在0.40~4.83 mg g(-1)之间。样品在酸性介质中，用重铬酸钾消解后，用标准Fe(II)溶液滴定过量的铬(VI)，得到测定用的参考数据。用偏最小二乘回归将消化管法测定的有机质含量与近红外光谱测定的有机质含量进行了相关性分析。预测的均方根误差为0.20mgg(-1)，并对12个土壤样品用消化管法和Walkley-Black法进行了比较，对有机质的测定结果没有差异。
An alternative approach for the determination of organic matter content in soil is proposed, using near infrared spectroscopy and partial least squares regression for data modeling. This method was applied to two different types of soils: Oxisol and Ultisol. One hundred soil samples, collected at different depth intervals. with organic matter content from 0.40 to 4.83 mg g(-1) were obtained from the Instituto Agronomico (Campinas-Brazil). For test the reference data were obtained by titration of the excess of Cr(VI) with standard Fe(II) solution, after sample digestion with potassium dichromate in an acid medium in digestion tubes. The organic matter contents determined by the so called digestion tube method were also correlated with those obtained by near infrared spectroscopy, using partial least squares regression. A root mean squares error of prediction equal to 0,20 mg g(-1) was obtained, The digestion tube method was also compared with the Walkley-Black method for twelve soil samples and no difference in results for the organic matter determination was found.