Automatic in situ sensor based on K2S2O8 oxidation method for total phosphorus detection in marine water
Phosphorus is a key indicator for water quality management due to its role in eutrophication. The variety of phosphorus-containing substances necessitates highly sensitive detection of total phosphorus, particularly through automated methods, to ensure water safety. This study involved the independent development of a sensor featuring an automated in situ detection technique. Utilizing potassium persulfate high-temperature oxidation and phosphorus molybdenum blue spectrophotometry, total phosphorus was monitored in situ via sequential injection technology. Additionally, the detection process and reaction conditions of the sensor were optimized, and a temperature compensation algorithm and turbidity correction were applied to mitigate environmental factors. Under optimal conditions, the sensor demonstrated a detection limit of 1.9 µg/L with a range of 6.5–1000 µg/L in seawater, and 1.2 µg/L with a range of 4.1–2000 µg/L in freshwater. The digestion efficiency for five representative phosphorus-containing substances was found to range from 87.3% ± 1.7% to 103.1% ± 0.6%. Notably, the sensor was deployed for in situ operation at a marine experimental station and online at a river monitoring station. With its integration, low power consumption, and high precision, the sensor enabled long-term unattended monitoring, delivering accurate, stable, and reliable results.
Authors
- Nan Gao (ORCID: https://orcid.org/0000-0002-1895-9397)
- Shougang Chen (ORCID: https://orcid.org/0000-0002-0059-5708)
- Yang Gao (ORCID: https://orcid.org/0000-0001-6444-6544)
- Yan Zou
- Yanmin Zhang (ORCID: https://orcid.org/0009-0004-8093-0095)
- Yang Wang (ORCID: https://orcid.org/0000-0002-6855-7097)
- Xiangfeng Kong (ORCID: https://orcid.org/0000-0001-7978-890X)
- Yan Liu (ORCID: https://orcid.org/0000-0001-6739-8234)
- Shuwei Zhang (ORCID: https://orcid.org/0009-0002-9003-5620)
Institutions
- Qilu University of Technology (CN)
- Institute of Oceanographic Instrumentation (CN)
- Shandong Academy of Sciences (CN)
- Laoshan Laboratory
- Ocean University of China (CN)
Publication Details
- Journal
- Frontiers in Marine Science
- Published
- 2024-11-19
- DOI
- https://doi.org/10.3389/fmars.2024.1492115
- Citations
- 5
- Primary Topic
- Water Quality Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.47
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province
- Shandong Academy of Sciences
- Qilu University of Technology