Methyl and ethyl chloroformate derivatizations for compound-specific stable isotope analysis of fatty acids-II
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- Aoyagi Kanji
- Department of Chemistry, Tokyo Metropolitan University
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- Yamanaka Atsuko
- Department of Chemistry, Tokyo Metropolitan University
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- Goto Akiko S.
- Institute of Science and Engineering, Kanazawa University
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- Fujino Tatsuya
- Department of Chemistry, Tokyo Metropolitan University
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- Korenaga Takashi
- Faculty of Risk and Crisis Management, Chiba Institute of Science
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- Chikaraishi Yoshito
- Institute of Biogeosciences, Japan Agency for Marine-Earth Science and Technology
Bibliographic Information
- Other Title
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- Methyl and ethyl chloroformate derivatizations for compound-specific stable isotope analysis of fatty acids (2)
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Description
Methyl (MCF) and ethyl chloroformate (ECF) derivatizations are potentially useful for rapid and simple esterification (i.e., at room temperature for 5 min) prior to compound-specific stable isotope analysis (CSIA) of fatty acids. In this study, we have used acetonitrile as an organic solvent in the esterification process to improve the yields of derivatives, and we evaluated whether the improved esterification is suitable for carbon and hydrogen CSIA. Six saturated (14:0, 16:0, 18:0, 20:0, 22:0, and 24:0) and three unsaturated (18:1 n-9, 18:2 n-6, and 18:3 n-3) fatty acids were used in this study. The yields of derivatives are 67-107% for MCF and 84-89% for ECF derivatizations, which are approximately twice the yields obtained in MCF and ECF derivatizations that did not use acetonitrile. The accuracy of the CSIA is <±0.4‰ (1σ) for carbon and <± 11‰ (1σ) for hydrogen, with no significant differences in these uncertainties observed for saturated and unsaturated fatty acids. Thus, MCF and ECF derivatizations using acetonitrile are suitable for the CSIA of fatty acids.
Journal
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- Researches in Organic Geochemistry
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Researches in Organic Geochemistry 28 (0), 27-30, 2012
The Japanese Association of Organic Geochemists
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Details 詳細情報について
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- CRID
- 1390282680389323776
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- NII Article ID
- 110009593003
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- NII Book ID
- AA11889471
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- ISSN
- 21897891
- 13449915
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- NDL BIB ID
- 024297470
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed