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.
Nitrate is widely distributed in various water environments, and its potential toxicity poses a great threat to human health and environment. It is of great significance to realize rapid detection of nitrate in water. Raman spectroscopy, as a molecular spectrum, has been widely used in the detection of ionic concentration in liquid samples. However, fluorescence background interference and spectral peak overlap are still a challenge for the detection of trace targets in practical applications. In this study, we proposed a rapid detection method for nitrate at low concentration in drinking water based on Raman spectra combined with adsorption materials., The difference between characteristic spectrum of nitrate adsorption at low concentration and background spectrum of adsorption material was emphatically analyzed after verifying the effectiveness of nitrate adsorbent. The peak decomposition method of nitrate characteristic spectrum was established to achieve highly sensitive detection of nitrate concentration of 5-10 mg/L. The calibration curve of NO3 - -N concentration in 5-100 mg/L was established according to the normalized spectral intensity. The correlation coefficient R2 of the established regression model reached 0.98. The root mean square error (RMSE) was 3.56 mg/L. This study provides a rapid detection method for nitrate in water, which can provide a low-cost assessment method for daily household drinking water quality and water quality purification combined with portable Raman spectrometer. At the same time, this method is also expected to achieve fast on-site detection for early warning response of surface water pollution.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.