用于视紫红质表面官能团定量的快速高分辨率 pKa 光谱滴定法

IF 2.9 Q2 SOIL SCIENCE Soil Systems Pub Date : 2024-06-12 DOI:10.3390/soilsystems8020063
Natal’ya V. Matveeva, Andrei V. Garmash, Mikhail A. Shishkin, A. Dymov, O. Rogova, D. S. Volkov, M. Proskurnin
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引用次数: 0

摘要

提出了一种快速、同时具有高分辨率的电位滴定法,用于识别和量化原生土壤颗粒表面不同强度的原生溶解基团。该方法通过滴定数据处理实现多组分光谱(pKa 光谱滴定法)。由于分辨率高,与现有方法相比,酸度常数评估的误差(3-5%)更小;由于滴定速度快,土壤水解的影响最小。研究了酸性 Retisols(荚膜土壤)的土壤剖面--云杉树冠下和树冠间空间。这些土壤具有相似的体积特性和成因,但生长在不同的植物覆盖下,它们的 pKa 光谱特征分别为 4-5、5.5-6.5、6.5-8.5、7.5-8.5 和 9-10,总基团浓度也各不相同。发现并量化了同一土壤剖面和两种 Retisols 之间酸性和碱性基团分布(羧基、无定形铝硅酸盐、碳酸盐种类、氨基、可溶性(多)酚类化合物、磷脂)以及铝和铁复合化合物的差异。利用主成分分析法,将 pKa 分光滴定法发现的酸度常数和基团浓度与传统的土壤成分指标(总有机碳、草酸盐可溶性铁和铝以及磷)进行了比较。主要相关因素包括:草酸盐可溶性铝的浓度与 pKa 值为 5.0-6.5 和 8.5 的基团之间的相关性;草酸盐可溶性铁的浓度与 pKa 值为 9.0-10.0 的基团之间的相关性;P2O5 的浓度与 pKa 值为 4.0-6.0 和 6.5-8.5 的基团之间的相关性。该方法提供了一组主要酸度值,无需土壤样本的先验信息,可用于筛选和识别类似土壤。
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Fast High-Resolution pKa Spectrotitrimetry for Quantification of Surface Functional Groups of Retisols
Potentiometric titration in a fast and simultaneously high-resolution modality was proposed for the identification and quantification of protolytic groups of variable strength at the surface of primary soil particles. The method is implemented by titrimetric data processing as multicomponent spectra (pKa spectrotitrimetry). Due to the high resolution, the error of acidity-constant assessment (3–5%) is lower, compared to existing approaches; due to the fast titration, the effect of soil hydrolysis is minimized. The soil profiles for acidic Retisols (podzolic soils)—under a spruce crown and in the intercrown space—were studied. These soils, which have similar bulk properties and genesis but developed under different plant covers, were distinguished by pKa spectral features at 4–5; 5.5–6.5; 6.5–8.5; 7.5–8.5; and 9–10, as well as total group concentrations. Differences in acidic and basic-group distribution (carboxyl groups, amorphous aluminosilicates, carbonate species, amino groups, soluble (poly)phenolic compounds, phospholipids) and Al and Fe complex compounds within the same soil profiles and between two Retisols were found and quantified. The acidity constants and group concentrations found by pKa spectrotitrimetry were compared with conventional soil-composition indicators (total organic carbon, oxalate-soluble Fe and Al, and phosphorus), using principal component analysis. The main correlations are between the concentrations of oxalate-soluble Al and groups with pKa values of 5.0–6.5 and 8.5; oxalate-soluble Fe and pKa values of 9.0–10.0; and P2O5 and pKa values of 4.0–6.0 and 6.5–8.5. The method provides a set of major acidity values without a priori information on a soil sample and can be used for screening and identifying similar soils.
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来源期刊
Soil Systems
Soil Systems Earth and Planetary Sciences-Earth-Surface Processes
CiteScore
5.30
自引率
5.70%
发文量
80
审稿时长
11 weeks
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