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追踪大型灌区土壤中溶解有机物的荧光成分

Tracking fluorescent components of dissolved organic matter from soils in large-scale irrigated area.

作者信息

Pan Hongwei, Yu Huibin, Song Yonghui, Zhu Lin, Liu Ruixia, Du Erdeng

机构信息

School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou, 450045, China.

State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing, 100012, China.

出版信息

Environ Sci Pollut Res Int. 2017 Mar;24(7):6563-6571. doi: 10.1007/s11356-017-8378-x. Epub 2017 Jan 10.

Abstract

Combination of fluorescence excitation-emission matrix spectroscopy with parallel factor analysis (PARAFAC) and principal component analysis (PCA) was engaged to track fluorescent components of dissolved organic matter (DOM) extracted from soils, to seek potential factors, and to reveal their correlations with physico-chemical properties of soils. Soil samples at different depths were collected in Hetao irrigated area of Inner Mongolia, China. Five fluorescent components (C1 to C5) were identified by PARAFAC modeling of DOM extracted from the soil samples. C1 was referred as fulvic-like fluorescent component, by which DOM was dominated in the whole soil samples. C2 was associated with salinity and agriculture, which was similar to marine humic-like fluorescent component. C3 was assigned as traditional humic-like fluorescent component. The three components were of the terrestrial origin. C4 was involved in tryptophan-like fluorescent component, which was autochthonous productions of biological degradation. C5 might be a polycyclic aromatic hydrocarbon contaminant, which could be relative to anthropogenic sources of pesticides. The C1, C2, and C3 were the potential factors of characterizing DOM fractions using PCA on fluorescent components and physico-chemical parameters. Moreover, DOM might restrained by exchangeable sodium percentage, and its formation and decomposition might be influenced by soil moisture.

摘要

将荧光激发-发射矩阵光谱与平行因子分析(PARAFAC)和主成分分析(PCA)相结合,用于追踪从土壤中提取的溶解有机物(DOM)的荧光成分,寻找潜在因素,并揭示它们与土壤理化性质的相关性。在中国内蒙古河套灌区采集了不同深度的土壤样本。通过对土壤样本中提取的DOM进行PARAFAC建模,识别出了五种荧光成分(C1至C5)。C1被称为类富里酸荧光成分,在整个土壤样本中DOM以其为主。C2与盐分和农业活动有关,类似于海洋类腐殖质荧光成分。C3被归为传统类腐殖质荧光成分。这三种成分都来源于陆地。C4涉及类色氨酸荧光成分,是生物降解的自生产物。C5可能是一种多环芳烃污染物,可能与农药的人为来源有关。C1、C2和C3是利用PCA对荧光成分和理化参数进行分析来表征DOM组分的潜在因素。此外,DOM可能受到交换性钠百分比的限制,其形成和分解可能受到土壤湿度的影响。

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