Extracellular carbonic anhydrase concentration at the sea-surface microlayer and 1 m depth during METEOR cruise M117, Baltic Sea

We developed an effective fluorometric technique to quantify extracellular carbonic anhydrase (eCA) present in natural seawater samples. The technique includes the separation of eCA from cells to achieve low detection limits through high signal : noise ratios. eCA was efficiently extracted from cell membranes by treatment with 0.1 M phosphate buffer containing 2.5 M NaCl. The free eCA specifically forms a fluorescent complex with dansylamide, and the detection limit of the complex is below 0.1 nM. We applied the technique to samples from different culture solutions and natural seawater collected from the Baltic Sea. We observed eCA concentrations to be in the range of 0.10-0.67 nM in natural seawater. The data indicated that this technique is very sensitive, accurate, and feasible for routine and shipboard measurement of eCA from natural seawater. It is therefore an effective and rapid tool to investigate the carbon acquisition of phytoplankton both in mono culture as well natural communities.

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Cite this as

Mustaffa, Nur Ili Hamizah (2016). Dataset: Extracellular carbonic anhydrase concentration at the sea-surface microlayer and 1 m depth during METEOR cruise M117, Baltic Sea. https://doi.org/10.1594/PANGAEA.861762

DOI retrieved: 2016

Additional Info

Field Value
Imported on November 29, 2024
Last update November 29, 2024
License CC-BY-3.0
Source https://doi.org/10.1594/PANGAEA.861762
Author Mustaffa, Nur Ili Hamizah
Given Name Nur Ili Hamizah
Family Name Mustaffa
Source Creation 2016
Publication Year 2016
Resource Type text/tab-separated-values - filename: Mustaffa_2016
Subject Areas
Name: Chemistry

Name: LakesRivers

Name: Oceans

Related Identifiers
Title: Extracellular carbonic anhydrase: Method development and its application to natural seawater
Identifier: https://doi.org/10.1002/lom3.10182
Type: DOI
Relation: IsSupplementTo
Year: 2017
Source: Limnology and Oceanography-Methods
Authors: Mustaffa Nur Ili Hamizah .

Title: Original CA data file in Excel format
Identifier: https://store.pangaea.de/Publications/Mustaffa_2016/Mustaffa_CA_meteor.xlsx
Type: DOI
Relation: References