Design of an Intelligent Sensor System Based on Fluorescence Analysis

Abstract

Abstract In response to the current problems of serious pollution of typical organic substances in groundwater systems at petrochemical production sites, high cost of detection equipment, non-portability, low accuracy, and poor stability, a smart sensor for benzene and PAHs was proposed based on the fluorescence analysis method. The relationship curve between concentration and absorbance was derived using Lambert’s law from the different wavelengths and peaks of the absorbed light of different substances and was used to detect the concentration of organic substances. The experimental results showed that the online organic detection sensor based on fluorescence analysis had good stability for the detection of benzene and benzo(b)fluoranthene in groundwater systems at petrochemical production sites and could detect organic concentrations accurately and efficiently, providing data support for environmental protection and wastewater treatment. The method was low cost, simple in structure, high in detection accuracy, and good in interference immunity to meet analytical testing requirements.