Automated online and real-time monitoring of environmental risk

Abstract

Currently the environment degradation due to human activities created the need of monitoring the industrial waste waters, rivers and oceans for fast, on site and real-time pollutants detection. The present works intends to optimize a heavy metals detection system based on different Ion Selective Electrodes (ISE) implanted in a Sequential Injection Analysis (SIA) equipment for self-preparation of chemical patterns, calibration and sample analysis in a single equipment. The goal is to calibrate, optimize and automate different ISE implanted in a single unit, usually described as an Electronic Tongue (ET) in the literature, due to its comparison with biological tongue functionality. In this work the setup of the ISEs within an automated system, the calibration of the electrodes and the determination of metals was achieved successfully. Also, the improvement of quality signal is achieved by identifying the noise sources. The study of an online monitoring system is investigated. The Secure File Transfer Protocols (SFTP) are considered as a suitable option for online monitoring and real time analysis with the Risk Assessment Data Base (RAdb), developed by the Norwegian Institute for Water Research (NIVA).