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荧光激发-发射矩阵区域积分法用于量化溶解有机物的光谱。

Fluorescence excitation-emission matrix regional integration to quantify spectra for dissolved organic matter.

作者信息

Chen Wen, Westerhoff Paul, Leenheer Jerry A, Booksh Karl

机构信息

PBS4J INC. 7310 N. 16th St. Ste 310, Phoenix, AZ 85020, USA.

出版信息

Environ Sci Technol. 2003 Dec 15;37(24):5701-10. doi: 10.1021/es034354c.

DOI:10.1021/es034354c
PMID:14717183
Abstract

Excitation-emission matrix (EEM) fluorescence spectroscopy has been widely used to characterize dissolved organic matter (DOM) in water and soil. However, interpreting the > 10,000 wavelength-dependent fluorescence intensity data points represented in EEMs has posed a significant challenge. Fluorescence regional integration, a quantitative technique that integrates the volume beneath an EEM, was developed to analyze EEMs. EEMs were delineated into five excitation-emission regions based on fluorescence of model compounds, DOM fractions, and marine waters or freshwaters. Volumetric integration under the EEM within each region, normalized to the projected excitation-emission area within that region and dissolved organic carbon concentration, resulted in a normalized region-specific EEM volume (phi(i,n)). Solid-state carbon nuclear magnetic resonance (13C NMR), Fourier transform infrared (FTIR) analysis, ultraviolet-visible absorption spectra, and EEMs were obtained for standard Suwannee River fulvic acid and 15 hydrophobic or hydrophilic acid, neutral, and base DOM fractions plus nonfractionated DOM from wastewater effluents and rivers in the southwestern United States. DOM fractions fluoresced in one or more EEM regions. The highest cumulative EEM volume (phi(T,n) = sigma phi(i,n)) was observed for hydrophobic neutral DOM fractions, followed by lower phi(T,n) values for hydrophobic acid, base, and hydrophilic acid DOM fractions, respectively. An extracted wastewater biomass DOM sample contained aromatic protein- and humic-like material and was characteristic of bacterial-soluble microbial products. Aromatic carbon and the presence of specific aromatic compounds (as indicated by solid-state 13C NMR and FTIR data) resulted in EEMs that aided in differentiating wastewater effluent DOM from drinking water DOM.

摘要

激发-发射矩阵(EEM)荧光光谱法已被广泛用于表征水和土壤中的溶解有机物(DOM)。然而,解释EEM中所呈现的超过10000个波长依赖性荧光强度数据点构成了一项重大挑战。荧光区域积分是一种对EEM下方体积进行积分的定量技术,它被开发用于分析EEM。基于模型化合物、DOM组分以及海水或淡水的荧光,EEM被划分为五个激发-发射区域。对每个区域内EEM下方的体积进行积分,并将其归一化为该区域内的投影激发-发射面积以及溶解有机碳浓度,得到一个归一化的区域特定EEM体积(phi(i,n))。对标准的苏万尼河富里酸以及15种疏水性或亲水性的酸、中性和碱性DOM组分,加上美国西南部废水排放物和河流中的未分级DOM,获取了固态碳核磁共振(13C NMR)、傅里叶变换红外(FTIR)分析、紫外-可见吸收光谱以及EEM。DOM组分在一个或多个EEM区域中发出荧光。疏水中性DOM组分的累积EEM体积最高(phi(T,n) = sigma phi(i,n)),其次是疏水酸性、碱性和亲水酸性DOM组分的phi(T,n)值较低。一个提取的废水生物质DOM样品含有芳香族蛋白质类和腐殖质类物质,具有细菌可溶性微生物产物的特征。芳香碳以及特定芳香化合物的存在(如固态13C NMR和FTIR数据所示)导致EEM有助于区分废水排放DOM和饮用水DOM。

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