4.4 Article

Autonomous Ion-Sensitive Field Effect Transistor-Based Total Alkalinity and pH Measurements on a Barrier Reef of Kane'ohe Bay

期刊

ACS EARTH AND SPACE CHEMISTRY
卷 4, 期 3, 页码 355-362

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsearthspacechem.9b00274

关键词

total alkalinity; pH; high-frequency; calcification; autonomous; seawater

资金

  1. NSF OCE Award [1155122]
  2. National Oceanic and Atmospheric Administration, Project I/IR-27 - University of Hawai'i Sea Grant College Program, SOEST from NOAA Office of Sea Grant, Department of Commerce [NA18OAR4170076]
  3. Directorate For Geosciences
  4. Division Of Ocean Sciences [1155122] Funding Source: National Science Foundation

向作者/读者索取更多资源

Here, we present first of its kind high-frequency total alkalinity (A(T)) and pH data from a single solid-state autonomous sensor collected during a six-day deployment at a barrier reef in Kane'ohe Bay on the CRIMP-2 buoy. This dual parameter sensor is capable of rapid (<60 s), near-simultaneous measurement of the preferred seawater carbonate system parameters, pH, and A(T) without requiring any external reagents or moving parts inherent to the sensor. Its solid-state construction, low power consumption, and low titrated volume (nanoliters) requirement make this sensor ideal for in situ monitoring of the aqueous carbon dioxide system. Through signal-averaging, we estimate the pH-A(T) sensor is capable of achieving 2-10 mu mol kg(-1) precision in A(T) and 0.005 for pH. The CRIMP-2 site in Hawai'i provided an excellent means of validation of the prototype pH-A(T) sensor because of extensive observations routinely collected at this site and large daily fluctuations in A(T) (similar to 116 mu mol kg(-1)) driven primarily by high calcification during the day and occasional CaCO3 mineral dissolution at night. High-frequency sampling by the pH-A(T) sensor reveals details in the diurnal cycle that are nearly impossible to observe by discrete sampling. Greater temporal resolution of the aqueous carbon dioxide system is essential for differentiating various drivers of coral reef health and the response to external influences such as ocean warming and acidification.

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