Review of Dissolved Oxygen Detection Technology: From Laboratory Analysis to Online Intelligent Detection

  • Yaoguang Wei
    College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • Yisha Jiao
    College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • Dong An
    College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • Daoliang Li
    College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • Wenshu Li
    College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
  • Qiong Wei
    College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

書誌事項

公開日
2019-09-16
権利情報
  • https://creativecommons.org/licenses/by/4.0/
DOI
  • 10.3390/s19183995
公開者
MDPI AG

説明

<jats:p>Dissolved oxygen is an important index to evaluate water quality, and its concentration is of great significance in industrial production, environmental monitoring, aquaculture, food production, and other fields. As its change is a continuous dynamic process, the dissolved oxygen concentration needs to be accurately measured in real time. In this paper, the principles, main applications, advantages, and disadvantages of iodometric titration, electrochemical detection, and optical detection, which are commonly used dissolved oxygen detection methods, are systematically analyzed and summarized. The detection mechanisms and materials of electrochemical and optical detection methods are examined and reviewed. Because external environmental factors readily cause interferences in dissolved oxygen detection, the traditional detection methods cannot adequately meet the accuracy, real-time, stability, and other measurement requirements; thus, it is urgent to use intelligent methods to make up for these deficiencies. This paper studies the application of intelligent technology in intelligent signal transfer processing, digital signal processing, and the real-time dynamic adaptive compensation and correction of dissolved oxygen sensors. The combined application of optical detection technology, new fluorescence-sensitive materials, and intelligent technology is the focus of future research on dissolved oxygen sensors.</jats:p>

収録刊行物

  • Sensors

    Sensors 19 (18), 3995-, 2019-09-16

    MDPI AG

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