4.5 Article

Fast quantitative analysis of n-alkanes, PAHs and alkenones in sediments

期刊

ORGANIC GEOCHEMISTRY
卷 171, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.orggeochem.2022.104471

关键词

Selective Pressurized Liquid Extraction; Biomarkers; GC-MS; PAH; Alkenones; Paleoclimate; Alkanes

资金

  1. European Research Council [834934]
  2. Spanish Research Ministry (Maria de Maeztu award) [MDM-2015-0552]
  3. European Union [891230]
  4. Marie Curie Actions (MSCA) [891230] Funding Source: Marie Curie Actions (MSCA)
  5. European Research Council (ERC) [834934] Funding Source: European Research Council (ERC)

向作者/读者索取更多资源

The study of different classes of organic biomarkers is crucial for understanding global Earth dynamics. However, traditional multiproxy analysis methods are time-consuming and labor-intensive. In this study, a fast analytical method using a pressure liquid extraction system is developed, which allows for quantification of organic biomarkers and provides reproducible results with high recoveries.
The study of different organic biomarker classes is essential to elucidate global Earth dynamics since different biogeochemical processes play a role in regulating environmental and climatic conditions. However, multiproxy analysis generally consists of labor-intensive and time-consuming methodologies, which hamper the study of a large number of samples. Here, we develop and validate a fast analytical method to quantify different classes of organic biomarkers (PAHs, n-alkanes and alkenones) in sediments. This new method sequentally extracts and fractionates the target compounds using a pressure liquid extraction (PLE) system, which allows us to selectively obtain the analytes by reducing the time of analysis, sample handling and solvent usage. We show that our method provides reproducible results and high recoveries (> 70%), and can be applied to a wide range of sedimentary environments, such as oceanic basins, continental slope and shelf, and lakes. Moreover, the method provides reproducible estimates of paleoclimatic indices, such as the carbon preference index (CPI), the average chain length (ACL) and the UK37K'-derived sea-surface temperature (SST). Therefore, this new method enables fast quantitative multiproxy analysis of oceanic, coastal and lake sediments.

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