Morphological Grayscale Reconstruction and ATLD for Recognition of Organic Pollutants in Drinking Water Based on Fluorescence Spectroscopy

Fei Shi,Pingjie Huang,Yitong Cao,Guangxin Zhang,Dibo Hou,Tingting Mao,Jie Yu

doi:10.3390/w11091859

Abstract

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.

Highlights

Drinking water is the kind of resource that affects all aspects of public life
Fromand the experimental results above, alternating trilinear decomposition (ATLD), which isgood a common fluorescence spectral extraction modeling algorithm method, can achieve detection effect when used feature in the extraction and modeling algorithm method, can achieve good detection effect when used in the detection of pollutants at high concentrations in drinking water
The feature-extraction method based on morphology grayscale reconstruction combined with ATLD was proposed in this paper

Summary

Introduction

Drinking water is the kind of resource that affects all aspects of public life. When its safety is threatened, it may pose public health risks that will lead to environmental and socio-economic losses [1].Even at low concentration and short exposure, organic pollutants can still cause acute poisoning.With the widespread use of organic compounds, water-pollution incidents keep increasing, and the influential range and degree become wilder and more serious [2]. Drinking water is the kind of resource that affects all aspects of public life. Even at low concentration and short exposure, organic pollutants can still cause acute poisoning. With the widespread use of organic compounds, water-pollution incidents keep increasing, and the influential range and degree become wilder and more serious [2]. Quickly alerting and effectively identifying possible water-pollution events in the water supply system are essential tasks. Many researchers have proposed many kinds of methods to detect water quality information because water quality has been increasingly paid attention by the world, and the detection technology becomes more urgently needed. Chemical analysis [3], gas chromatography (GC) [4], high-performance liquid chromatography (HPLC) [5,6], and gas chromatography-mass spectroscopy (GC/MS) [7] are common methods for water-quality detection, they are complex and time-consuming

Methods

Results

Conclusion