A Multi-Sensor System for Sea Water Iodide Monitoring and Seafood Quality Assurance: Proof-of-Concept Study

Abstract

Iodine is a trace chemical element fundamental for a healthy human organism. Iodine deficiency affects about 2 billion people worldwide causing from mild to severe neurological impairment, especially in children. Nevertheless, an adequate nutritional intake is considered the best approach to prevent such disorders. Iodine is present in seawater and seafood, and its common forms in the diet are iodide and iodate; most iodide in seawater is caused by the biological reduction of the thermodynamically stable iodate species. On this basis, a multisensor instrument which is able to perform a multidimensional assessment, evaluating iodide content in seawater and seafood (via an electrochemical sensor) and discriminating when the seafood is fresh or defrosted quality (via a Quartz Micro balance (QMB)-based volatile and gas sensor), is strategic for seafood quality assurance. Moreover, an electronic interface has been opportunely designed and simulated for a low-power portable release of the device, which should be able to identify seafood over or under an iodide threshold previously selected. The electrochemical sensor has been successfully calibrated in the range 10–640 μg/L, obtaining a root mean square error in cross validation (RMSECV) of only 1.6 μg/L. Fresh and defrosted samples of cod, sea bream and blue whiting fish have been correctly discriminated. This proof-of-concept work has demonstrated the feasibility of the proposed application which must be replicated in a real scenario.

Calibration of Sentinel-2 Surface Reflectance for Water Quality Modelling in Binh Dinh’s Coastal Zone of Vietnam

“…To implement remedial procedures or keep track of public health, it is necessary to monitor the changing concentration of contaminants over time. Scientists have methods to assess and monitor seawater quality [15][16][17][18], but another method using biosensors has gained a lot of attention in recent years due to its effectiveness as an analytical instrument and its superior capabilities for monitoring pollution and public health. This testing is quick, easily implemented, inexpensive, onsite, and only needs a small instrument to monitor multiple pollutants at once.…”

Low-Cost Internet-of-Things Water-Quality Monitoring System for Rural Areas

“…It has been concluded that the most accurate quality indicators were provided by the artificial neural network machine-learning model and satellite data. Similarly, Zompanti et al [14] concentrated on monitoring the sea water iodide for assuring the quality of seafood. A multi-sensor approach was proposed to evaluate the seawater iodate level and thus to assess the quality of seafood.…”