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Establishment of long-term preservation for dimethyl sulfide by the solid-phase microextraction method.
Ai Sakamoto1, Takushi Niki, Yutaka W Watanabe
1Graduate School of Environmental Earth Science, Hokkaido University, Sapporo, Hokkaido, Japan. ai@ees.hokudai.ac.jp
Analytical Chemistry
|July 1, 2006
Summary
A new method using solid-phase microextraction (SPME) allows long-term preservation of dimethyl sulfide (DMS) in seawater. This simpler technique, validated by preserving DMS at -196°C for 20 days, shows potential for open ocean climate studies.
Area of Science:
- Marine chemistry
- Climate science
- Analytical chemistry
Background:
- Dimethyl sulfide (DMS) from marine life impacts climate radiative forcing.
- Traditional onboard ship analysis (purge and trap, P&T) for seawater DMS is complex, limiting spatiotemporal variability data.
- Solid-phase microextraction (SPME) offers a simpler alternative for DMS analysis.
Purpose of the Study:
- To assess the long-term preservation capability of DMS in seawater using SPME.
- To evaluate the influence of salinity on SPME measurements of DMS.
- To validate the SPME method for open ocean DMS surveys.
Main Methods:
- Long-term preservation of seawater samples containing DMS in liquid nitrogen (-196°C) for 20 days.
- Determination of DMS preservation rates.
- Estimation of the distribution coefficient to assess salinity effects on SPME.
- Comparison of DMS concentrations between preserved and unpreserved samples using SPME.
Main Results:
- A high preservation rate of 94.7 ± 4.4% for DMS was achieved over 20 days in liquid nitrogen.
- Salinity was found to have a minor influence on oceanic DMS measurements (0.1 nM/% sal).
- No significant differences were observed between preserved and unpreserved DMS samples (r = 0.99), validating the method.
Conclusions:
- SPME coupled with liquid nitrogen preservation is a viable method for long-term storage of DMS in seawater.
- The SPME method is suitable for open ocean surveys due to its simplicity and minimal salinity influence.
- This technique can improve the understanding of DMS spatiotemporal variability and its role in climate regulation.