Related Experiment Video
Updated: Sep 9, 2025

09:01
An Ultra-clean Multilayer Apparatus for Collecting Size Fractionated Marine Plankton and Suspended Particles
Published on: April 19, 2018
8.9K
Investigating chemical composition at the sea-air interface: A subsampling approach for marine surface microlayer
Aviya Ziner1, Irina Kuzmenkov1, Yael Dubowski1
1Faculty of Civil and Environmental Engineering, Technion Israel institute of the Technology, Israel.
The Science of the Total Environment
|September 4, 2025
Summary
This study introduces a new method for sampling the marine surface microlayer (SML), improving the analysis of its chemical composition. The novel approach offers efficient and reliable characterization of volatile and semi-volatile organic compounds in the SML.
Area of Science:
- Environmental Chemistry
- Oceanography
- Analytical Chemistry
Background:
- The marine surface microlayer (SML) is a critical interface regulating ocean-atmosphere exchange.
- Understanding SML chemical composition is vital due to its global impact.
- Traditional SML sampling methods are limited, requiring calm conditions and collecting thick water layers.
Purpose of the Study:
- To develop and evaluate an alternative method for SML sampling and chemical analysis.
- To enable semi-quantitative analysis of volatile and semi-volatile organic compounds (VOCs and SVOCs) in the SML.
- To overcome limitations of existing in-situ sampling techniques.
Main Methods:
- Water subsampling combined with a polycellulose-ester membrane filter for SML collection.
- Extraction of adsorbed compounds from the filter.
- Analysis using solid-phase microextraction (SPME) and gas chromatography-mass spectrometry (GC-MS).
Main Results:
- The proposed method allows for semi-quantitative analysis of VOCs and SVOCs in the SML.
- Evaluated factors include sorption affinity, solute competition, and dissolved concentration vs. adsorbed load correlation.
- Demonstrated high efficiency and applicability in various sea conditions.
Conclusions:
- The developed methodology provides a more efficient and robust approach for SML chemical analysis.
- Offers lower data noise compared to traditional methods.
- Facilitates improved characterization of the SML's organic compound profile.

