Morphological Grayscale Reconstruction and ATLD for Recognition of Organic Pollutants in Drinking Water Based on Fluorescence Spectroscopy
Morphological Grayscale Reconstruction and ATLD for Recognition of Organic Pollutants in Drinking Water Based on Fluorescence Spectroscopy
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基于荧光光谱的形态灰度重建和ATLD识别饮用水中的有机污染物
DOI：
10.3390/w11091859
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发表时间：
2019-09
期刊：
影响因子：
3.4
通讯作者：
Zhang Guangxin
中科院分区：
文献类型：
--
作者：
Shi Fei;Mao Tingting;Cao Yitong;Yu Jie;Hou Dibo;Huang Pingjie;Zhang Guangxin
This paper proposes a morphological grayscale reconstruction method combined with an alternating trilinear decomposition (ATLD) and threshold method based on 3D fluorescence spectroscopy to detect pollutants present at low concentrations in drinking water. First, the morphological grayscale reconstruction method was used to locate the fluorescence peaks of pollutants by comparing the original and reconstructed spectra obtained through expansion. The signal in the characteristic spectral region was then enhanced using an amplification factor. Feature extraction was subsequently performed by ATLD, and the threshold method was used to qualitatively distinguish water quality. By comparing the proposed method with the direct use of the ATLD and threshold method—which is a commonly used feature-extraction method—this study found that the application of the morphological grayscale reconstruction method can extrude characteristics of 3D fluorescence spectra. Given the typical spectral characteristics of phenol, salicylic acid, and rhodamine B, they were selected as experimental organic pollutants. Results illustrated that the morphological grayscale reconstruction with ATLD improved the spectral signal-to-noise ratio of pollutants and can effectively identify organic pollutants, especially those present at low concentrations.
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影响因子：
3.8
作者：
D. Hou;Jian Zhang;Zheling Yang;Shu Liu;Pingjie Huang;Guangxin Zhang
通讯作者：
D. Hou;Jian Zhang;Zheling Yang;Shu Liu;Pingjie Huang;Guangxin Zhang
影响因子：
3.4
作者：
B. Pierożyński;G. Piotrowska
通讯作者：
B. Pierożyński;G. Piotrowska
影响因子：
6
作者：
F. Solsona
通讯作者：
F. Solsona
影响因子：
10.6
作者：
Vincent, Luc
通讯作者：
Vincent, Luc
影响因子：
12.8
作者：
Peleato, Nicolas M.;Legge, Raymond L.;Andrews, Robert C.
通讯作者：
Andrews, Robert C.