Autonomous sensor for in situ measurements of total alkalinity in the ocean
Autonomous sensor for in situ measurements of total alkalinity in the ocean
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.
795-803
Schaap, Allison
b34985d6-2037-4fd9-957f-6c503ee39365
Papadimitriou, Stathys
a4b67182-8c5f-4062-b9ee-657ed9d5125f
Mawji, Edward
36970997-a479-4cc5-8120-82a2fe000202
Walk, John
17dfab03-5699-4f13-bf08-24c23ee11845
Hammermeister, Emily
279b2fc2-b4f5-4ae3-8974-d2dec5cd1452
Mowlem, Matthew
6f633ca2-298f-48ee-a025-ce52dd62124f
Loucaides, Socratis
5d0c31a4-269d-44a5-a858-13dc609ae072
28 February 2025
Schaap, Allison
b34985d6-2037-4fd9-957f-6c503ee39365
Papadimitriou, Stathys
a4b67182-8c5f-4062-b9ee-657ed9d5125f
Mawji, Edward
36970997-a479-4cc5-8120-82a2fe000202
Walk, John
17dfab03-5699-4f13-bf08-24c23ee11845
Hammermeister, Emily
279b2fc2-b4f5-4ae3-8974-d2dec5cd1452
Mowlem, Matthew
6f633ca2-298f-48ee-a025-ce52dd62124f
Loucaides, Socratis
5d0c31a4-269d-44a5-a858-13dc609ae072
Schaap, Allison, Papadimitriou, Stathys, Mawji, Edward, Walk, John, Hammermeister, Emily, Mowlem, Matthew and Loucaides, Socratis
(2025)
Autonomous sensor for in situ measurements of total alkalinity in the ocean.
ACS Sensors, 10 (2), .
(doi:10.1021/acssensors.4c02349).
Abstract
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.
Text
autonomous-sensor-for-in-situ-measurements-of-total-alkalinity-in-the-ocean
- Version of Record
More information
Accepted/In Press date: 6 January 2025
e-pub ahead of print date: 12 February 2025
Published date: 28 February 2025
Identifiers
Local EPrints ID: 511714
URI: http://eprints.soton.ac.uk/id/eprint/511714
ISSN: 2379-3694
PURE UUID: 46200343-f44b-491a-8f0f-2dd07068da00
Catalogue record
Date deposited: 28 May 2026 16:50
Last modified: 30 May 2026 02:17
Export record
Altmetrics
Contributors
Author:
Allison Schaap
Author:
Stathys Papadimitriou
Author:
Edward Mawji
Author:
John Walk
Author:
Emily Hammermeister
Author:
Matthew Mowlem
Author:
Socratis Loucaides
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics