Citation: | SHANG Wenyu, SUN Jingyi, XIE Manman, CEN Kuang, CAI Ze, ZHAN Nan, LING Yuan, SUN Qing. Py-GC/MS Analysis Method for Aliphatic Biomarker in Desert Lake Sediment and Its Application in Paleoclimatic Study[J]. Rock and Mineral Analysis, 2022, 41(5): 836-848. DOI: 10.15898/j.cnki.11-2131/td.202201120009 |
Methylene chain backbone compounds (MCCs) in lake sediments are sensitive to climate change, and changes in environmental conditions could promote the transformation of MCCs lipids between free and bound states, hence providing a series of biomarkers for paleoclimate reconstruction. In previous studies, free MCCs lipids were typically extracted by mixed solvents, bound MCCs lipids with chemical bonding or physical adsorption could not be obtained by organic solvent extraction, and the indicator information of the characteristics of bound components on paleoclimate change was missing.
To study the suitable analytical conditions for bound MCCs lipids, and establish proxy based on bound MCCs lipids to provide an effective tool for paleoclimate reconstruction of terrestrial ecosystems.
Optimized analytical method of pyrolysis gas chromatography-mass spectrometry (Py-GC/MS) was established and used to evaluate the bound MCCs in typical Desert Lake sediment.
Total of 71 bound MCCs compounds were identified and analyzed based on fine characterization of organic matter composition in the sediments of the Yiheshariwusu Lake in Inner Mongolia. Pyrolysis temperature was the main factor affecting the distribution characteristics of bound MCCs in sediment. Low pyrolysis energy under 450℃ led to insufficient resolution of bound MCCs. At 550℃ and 650℃, total bound
Proxy ACL25-31 of bound