An Integrated Wireless Multi-Sensor System for Monitoring the Water Quality of Aquaculture.

Water temperature, pH, dissolved oxygen (DO), electrical conductivity (EC), and salinity levels are the critical cultivation factors for freshwater aquaculture. This paper proposes a novel wireless multi-sensor system by integrating the temperature, pH, DO, and EC sensors with an ESP 32 Wi-Fi module for monitoring the water quality of freshwater aquaculture, which acquires the sensing data and salinity information directly derived from the EC level. The information of water temperature, pH, DO, EC, and salinity levels was displayed in the ThingSpeak IoT platform and was visualized in a user-friendly manner by ThingView APP. Firstly, these sensors were integrated with an ESP32 Wi-Fi platform. The observations of sensors and the estimated salinity from the EC level were then transmitted by a Wi-Fi network to an on-site Wi-Fi access point (AP). The acquired information was further transmitted to the ThingSpeak IoT and displayed in the form of a web-based monitoring system which can be directly visualized by online browsing or the ThingView APP. Through the complete processes of pre-calibration, in situ measurement, and post-calibration, the results illustrate that the proposed wireless multi-sensor IoT system has sufficient accuracy, reliable confidence, and a good tolerance for monitoring the water quality of freshwater aquaculture.

Strategies and Experiences of the Small Laboratory to Cope with the Mass Nucleic Acid Test of SARS-CoV-2.

BACKGROUND: The COVID-19 outbreak, which began in late 2019, continues to ravage the globe and has become the greatest threat to human health. As nucleic acid test is the primary means of screening for COVID-19, this makes the laboratory the most important node in the epidemic prevention and control system. METHODS: As a small laboratory in the hospital, we can meet a large number of demands for nucleic acid test by optimizing staff process, strictly disinfecting experimental batches and changing experimental methods. RESULTS: Through the improvement of the above aspects, our daily maximum detection quantity has been increased from 256/day to 1,012/day. Besides, none of the medical staff has been infected. And there have been no nosocomial infections. CONCLUSIONS: Nucleic acid laboratories, especially small laboratories, should promptly adjust their strategies in the face of unexpected outbreaks and conduct risk assessment in accordance with laboratory activities.