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Assessment of the effects of environmental factors on humification processes by derivative infrared spectroscopy and discriminant analysis

机译:通过导数红外光谱和判别分析评估环境因素对腐殖化过程的影响

摘要

The potential of infrared spectroscopy to establish differences in terms of the environmental factors on the humification processes has been assessed on Mediterranean forest soils from Central Spain developed under sclerophyllic and gymnosperm vegetation. Humic acids were isolated from 21 soil samples differing in terms of vegetation (pine, holm oak, oak), geological substrate (granite, limestone), soil type (Humic Dystrudepts, Humic Dystroxerepts, Humic Haploxerepts, Calcic Argixerolls), soil horizon (O, A1, A2), humus type (calcic mull, mesotrophic-acid mull, moder), physiographic unit (hillside, moorland, ramp), altitudinal step, epipedon (mollic or umbric) and moisture regimen (udic or xeric), which were used as environmental classification factors. Quantitative peak intensity data were obtained from the second derivative infrared spectra of the humic acids. Discriminant analysis with automatic variable backward selection was used to identify the infrared bands showing more systematic changes in their intensities depending on the above classification factors. The diagnostic infrared bands chosen were at 1720, 1260 and 1330cm-1, corresponding mainly to carboxyl and lignin-derived O-containing functional groups. The bands at 2920 and 1510cm-1, corresponding to aliphatic and aromatic structures of the carbon backbone, respectively, were not significantly responsive to the environmental variability in the studied samples. The results showed how, in the scenario under study, taking advantage of the relative intensities of specific peaks from the second derivative infrared spectra, it is possible to discriminate different soil Suborders and humus types, as well as between several physiographic and bioclimatic features. © 2010 Elsevier B.V.
机译:已经对来自西班牙中部在硬叶植物和裸子植物植被下发育的地中海森林土壤评估了红外光谱技术在增湿过程中确定环境因素方面差异的潜力。从21种土壤样品中分离出腐殖酸,这些样品在植被(松树,圣栎,石灰石),地质基质(花岗岩,石灰石),土壤类型(腐殖质,腐殖质,腐殖质,钙化Argixerolls),土壤层位(O)方面有所不同,A1,A2),腐殖质类型(钙质,中营养酸质,现代),生理单位(山坡,高地,坡地),高度阶跃,脚踏子(分子或伞形)和水分养护法(泛酸或干燥),用作环境分类因素。从腐殖酸的二阶导数红外光谱获得定量峰强度数据。判别分析和自动可变的后向选择用于识别红外波段,这些波段根据上述分类因素显示出强度上更系统的变化。选择的诊断红外波段在1720、1260和1330cm-1,主要对应于羧基和木质素衍生的含O官能团。在2920和1510cm-1处的谱带分别对应于碳骨架的脂族和芳族结构,对研究样品的环境变异性没有明显的响应。结果表明,在所研究的场景中,如何利用二阶导数红外光谱中特定峰的相对强度,可以区分不同的土壤亚纲和腐殖质类型,以及几种生理和生物气候特征。 ©2010 Elsevier B.V.

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