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Protocols for sample preparation and compound-specific stable-isotope analyses (δ 2 H, δ 13 C) of fatty acids in biological and environmental samples.
- Source :
-
MethodsX [MethodsX] 2023 Jul 08; Vol. 11, pp. 102283. Date of Electronic Publication: 2023 Jul 08 (Print Publication: 2023). - Publication Year :
- 2023
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Abstract
- Compound-specific stable-isotope analysis (CSIA) of fatty acids is a powerful tool to better understand the trophic transfer of fatty acids and their biochemical fate in and across ecosystems, including tracing animal migration and understanding physiological processes. The non-exchangeable nature of C-H bonds in acyl chains, hydrogen ( δ <superscript>2</superscript> H) and carbon ( δ <superscript>13</superscript> C) stable-isotope values of fatty acids (FA) provide independent information about the origins of fatty acids. Several technical obstacles must be overcome to ensure accurate and reproducible measurements of FA-CSIA can be made. This protocol describes the sample preparation process for successful stable-isotope analyses of fatty acids obtained from environmental and biological samples. Numerous techniques for the preanalytical processing of fatty acid samples are available, and these often have minimal impact on δ values. Here, we provide an in-depth guide detailing our well-established laboratory protocols, ranging from the initial sample preparation, lipid extraction, and transmethylation to the instrumental arrangement, data collection, and analysis.•Protocol from obtaining a sample to standardized fatty acid specific δ <superscript>2</superscript> H and δ <superscript>13</superscript> C values.•Separate GC analysis procedures for C and H are recommended for optimal performance.<br />Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (© 2023 The Author(s).)
Details
- Language :
- English
- ISSN :
- 2215-0161
- Volume :
- 11
- Database :
- MEDLINE
- Journal :
- MethodsX
- Publication Type :
- Academic Journal
- Accession number :
- 38098777
- Full Text :
- https://doi.org/10.1016/j.mex.2023.102283