Dissolved oxygen (DO) in water is a key parameter, which represents the purification capacity of water and also creates conditions for the survival of aquatic organisms. Among the existing DO detection methods, most of them adopt on-site sampling and laboratory detection, or arrange sensor network for fixed-point detection, or adopt buoy method for detection. These detection methods are either not precise or accurate enough, or it is difficult to reflect the water quality in real time. It is difficult to meet the current high requirements for water quality testing. This paper proposes the idea of using bionic robotic fish carrying water quality sensor system to realize multi-parameter detection of water quality, which not only gives full play to the advantages of optical sensor detection in accuracy and accuracy, but also gives full play to the good adaptability of fish in water. In this study, a fluorescence dissolved oxygen sensor was used to detect DO in situ. The automatic location of pollution source can be realized on this basis. This research can provide an idea for the detection and research of submarine archaeology and deep-sea mineral exploration, especially underwater in-situ detection.
High-sensitivity and rapid detection of heavy metal elements in water is in great demand. Traditional laboratory analysis methods limited to long cycles, complex processing, and risk of secondary pollution, which made it impossible to achieve on-site detection. Laser-induced breakdown spectroscopy (LIBS) has the characteristics of rapid and minimal damage and has been applied to the detection of solids, liquids and even gases. However, it is difficult to directly detect with LIBS due to the low content of heavy metals in water and the matrix effect of samples. We propose a rapid detection method of heavy metal elements in water by laser-induced breakdown spectroscopy combined with sample morphology constrained positioning. Using Pb as a representative element, analyze the enhancement effect and mechanism of the above sample processing method on the LIBS signal, and establish a calibration curve with a concentration range of 100-1000 ug/L. The correlation coefficient R2 is 0.97, and the detection limit reaches 86.6 ug/L., which meets the requirements of surface water quality testing. The study combined with portable LIBS equipment can provide a low-cost and rapid screening method for heavy metal pollution in surface water.
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