Yu Huibin, Song Yonghui, Pan Hongwei, Peng Jianfeng, Gao Hongjie, Liu Ruixia
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Science, Beijing, 100012, People's Republic of China.
Department of Urban Water Environmental Research, Chinese Research Academy of Environmental Science, Beijing, 100012, People's Republic of China.
Environ Monit Assess. 2016 Oct;188(10):579. doi: 10.1007/s10661-016-5580-0. Epub 2016 Sep 22.
Synchronous fluorescence spectroscopy (SFS) combined with two-dimensional correlation and principle component analysis (PCA) can provide an excellent challenge to capture fluorescent components of dissolved organic matter (DOM) and reveal its spatial variations in an urban river. Water samples were collected from Baitapuhe River along human impact gradient, i.e., the rural, town, and urban regions. DOM in Baitapuhe River was composed of protein-like, microbial humic-like, fulvic-like, and humic-like fluorescent components. The protein-like was the dominant component, which consisted of tyrosine-like and tryptophan-like components. In the rural region, the variation of the microbial humic-like was higher than that of the protein-like according to the band changing order of 335 → 281 nm, and both components changed in the same direction. In the town region, the variation of the microbial humic-like was the highest followed by the protein-like and fulvic-like on the basis of the changing band order of 335 → 281 → 369 nm, and these components varied in the same trend too. In the urban region, the variation of the protein-like was the highest, followed by the microbial humic-like, fulvic-like, and humic-like based on the changing band order of 282 → 335 → 369 → 470 nm, and the protein-like variation was opposite to the other components. The SFS combined with PCA and two-dimensional correlation can be used as a powerful tool in investigating fluorescent components of DOM and revealing spatial variations of these fluorescent components.
同步荧光光谱法（SFS）结合二维相关分析和主成分分析（PCA），能够出色地识别溶解有机物（DOM）的荧光成分，并揭示其在城市河流中的空间变化。沿着人类影响梯度，即农村、城镇和城市区域，从白塔浦河采集了水样。白塔浦河中的DOM由类蛋白质、类微生物腐殖质、类富里酸和类腐殖质荧光成分组成。类蛋白质是主要成分，由类酪氨酸和类色氨酸成分组成。在农村地区，根据335→281nm的波段变化顺序，类微生物腐殖质的变化高于类蛋白质，且两种成分变化方向相同。在城镇地区，根据335→281→369nm的波段变化顺序，类微生物腐殖质的变化最大，其次是类蛋白质和类富里酸，这些成分也呈相同趋势变化。在城市地区，根据282→335→369→470nm的波段变化顺序，类蛋白质的变化最大，其次是类微生物腐殖质、类富里酸和类腐殖质，且类蛋白质的变化与其他成分相反。SFS结合PCA和二维相关分析可作为研究DOM荧光成分和揭示这些荧光成分空间变化的有力工具。
