Year: 2025
Type: article
Abstract: High Resolution Image Download MS PowerPoint Slide Total alkalinity (TA) is one of the measurable parameters that characterize the oceanic carbonate system. A high temporal and spatial frequency in TA data can lead to better measurements, modeling, and understanding of the carbon cycle in aquatic systems, providing insights into problems from global climate change to ecosystem functioning. However, there are very few autonomous technologies for in situ TA measurements, and none with field demonstrations below 2 m depth. To meet this need in marine observing capabilities, we present a submersible sensor for autonomous in situ TA measurements to full ocean depths. This sensor uses lab-on-a-chip technology to sample seawater and perform single-point open-cell titration with an optical measurement. It can carry multiple calibration materials on board, allowing for routine recalibration and quality checks in the field. The sensor was characterized in the laboratory and in a pressure testing facility to 600 bar (equivalent to 6 km depth) and deployed in a shallow estuary, on a lander at 120 m depth, and on an autonomous underwater vehicle. With a demonstrated precision and accuracy regularly better than 5 μmol kg –1 in field deployments, this sensor has the potential to dramatically expand our ability to perform long-term autonomous measurements of the marine carbonate system.
Source: ACS Sensors
Institutions: National Oceanography Centre, University of Southampton
Language: English
Subfield: Bioengineering
Field: Chemical Engineering
Domain: Physical Sciences
SDG: Life below water
Open Access status: hybrid
Estimated APC paid: $4,500
Awards: Next generation multiplatform Ocean observing technologies for research infrastructures, G1617174313, G2091100600, Strategies for Environmental Monitoring of Marine Carbon Capture and Storage, G316067346, G3815856231, Carbonate Chemistry Autonomous Sensor System (CarCASS), Marine LTSS: Climate Linked Atlantic Sector Science, G4999274424, G7963144242, G8216955941, G990579219
OpenAlex ID: W4407399818
