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Singular Structural Features on Humic Fractions in Solution: Statistical Analysis of Diverse Analytical Techniques Spectra

机译:溶液中腐殖质分数的奇异结构特征:多种分析技术光谱的统计分析

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An adequate knowledge of the chemical and structural features that characterize the main fractions of humic substances in solution is of great interest to better understand a number of processes occurring in nature. Qualitative analysis of the spectra derived from diverse analytical techniques is frequently complicated, however, partially due to the quantity and complexity of the data. In this context, multivariate statistical analysis has proven to be a useful tool to integrate and interpret all this information. In this study, we applied Pareto analysis to the spectrum data derived from the application of diverse analytical techniques to several samples of humic substances. The humic substances considered in the study belong to the following groups: gray humic acid (GHA), brown humic acid (BHA), and fulvic acid (FA). The analytical techniques applied were ultraviolet-visible light, synchronous fluorescence, and Fourier transform infrared spectroscopies, C-13 nuclear magnetic resonance spectrometry, and pyrolysis gas chromatography-mass spectrometry. The results show the efficiency of Pareto analysis at discriminating between the different groups of humic substances. This discrimination corresponded to specific spectral regions for each group, which corresponded to singular structural features. Thus, GHA presented a marked aliphatic character and low functionality. The BHA group presented high structural homogeneity characterized by a high aromatic character, including significant ring condensation and complexity, and significant functionality. The FA group was very disperse, with high diversity in functional arrangements of simpler organic molecules, low condensed aromatic rings, and a very high concentration of O-containing functional groups that might be involved in metal intermolecular bridges. A discriminant analysis of data derived from the Pareto analysis confirmed the validity of these singular structural features as representative of each humic substance group.
机译:充分了解表征溶液中腐殖质主要成分的化学和结构特征,对于更好地了解自然界发生的许多过程非常重要。从多种分析技术得出的光谱的定性分析通常很复杂,但是部分原因是数据的数量和复杂性。在这种情况下,多元统计分析已被证明是整合和解释所有这些信息的有用工具。在这项研究中,我们将帕累托分析应用于光谱数据,该光谱数据是通过对多种腐殖质样品应用多种分析技术得出的。研究中考虑的腐殖质属于以下几类:灰色腐殖酸(GHA),棕色腐殖酸(BHA)和黄腐酸(FA)。应用的分析技术为紫外可见光,同步荧光和傅立叶变换红外光谱,C-13核磁共振光谱和热解气相色谱-质谱。结果显示了帕累托分析在区分腐殖质不同组别方面的效率。该区分对应于每个组的特定光谱区域,其对应于单个结构特征。因此,GHA表现出明显的脂族特性和低功能性。 BHA基团表现出高结构均质性,其特征在于高芳族特征,包括显着的环缩合和复杂性以及显着的功能性。 FA基团非常分散,在更简单的有机分子,低稠合的芳族环以及非常高浓度的可能与金属分子间桥结合的O官能团的功能排列中具有很高的多样性。从帕累托分析得出的数据的判别分析证实了这些奇异结构特征作为每个腐殖质组代表的有效性。

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