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Published on: April 18, 2013
Potentiometric sensing array for monitoring aquatic systems
Nadezda Pankratova1, Gastón A Crespo, Majid Ghahraman Afshar
1University of Geneva, Department of Inorganic and Analytical Chemistry, Quai Ernest-Ansermet 30, CH-1211 Geneva, Switzerland.
This study introduces an automated sensing array for continuous freshwater monitoring. The system accurately measures key nutrients and carbon cycle species, offering high-resolution data for ecosystem analysis.
Area of Science:
- Environmental Science
- Analytical Chemistry
- Sensor Technology
Background:
- Aquatic environments require continuous monitoring due to their dynamic nature.
- Traditional sampling methods lack the spatial and temporal resolution needed for effective ecosystem management.
- Automated techniques are crucial for real-time data acquisition in aquatic systems.
Purpose of the Study:
- To develop and validate an autonomous potentiometric sensing array for continuous monitoring of freshwater ecosystems.
- To assess the array's capability in measuring nutrients and carbon cycle species with high resolution.
- To compare field data from the automated system with traditional laboratory analyses.
Main Methods:
- Development of a self-contained instrument integrating measurement, calibration, and fluidic control.
- Deployment of a potentiometric sensing array using polymeric membrane materials.
- Field validation on an automated platform in Lake Greifensee, Switzerland.
- Use of ion-selective electrodes (ISEs) for hydrogen ions, carbonate, calcium, nitrate, and ammonium.
Main Results:
- Demonstrated linear correlation between ISE-measured calcium and nitrate activities and laboratory concentrations.
- Calculated apparent single ion activity coefficients for calcium and nitrate.
- Achieved good correlation between ISE-measured pH and CTD probe measurements, indicating reliability.
- The automated system provided high spatial and temporal resolution data.
Conclusions:
- The developed potentiometric sensing array offers a reliable and autonomous solution for continuous monitoring of freshwater ecosystems.
- The system effectively measures key chemical species relevant to the carbon cycle.
- This technology enhances aquatic ecosystem monitoring by providing high-resolution data, complementing traditional methods.
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