2023
DOI: 10.1016/j.chemgeo.2023.121604
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Evaluation of heterocyte glycolipids with a hexose sugar moiety for tracing terrestrial organic matter in the South China Sea

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“…Thus, complementary molecular proxies for quantifying the input of terrestrial organic matter to aquatic settings are still needed. These proxies may cross-validate other available terrestrial proxies, such as the δ 13 C of organic car-bon (Lamb et al, 2006), heterocyst glycolipids (Kang et al, 2023), and long-chain diols (Lattaud et al, 2017). Recently, a machine-learning approach (the BIGMaC model) was proposed to infer the origins of environmental samples (e.g., soil, peat, marine, and lake settings) based on their GDGT distributions (Martínez-Sosa et al, 2023).…”
mentioning
confidence: 99%
“…Thus, complementary molecular proxies for quantifying the input of terrestrial organic matter to aquatic settings are still needed. These proxies may cross-validate other available terrestrial proxies, such as the δ 13 C of organic car-bon (Lamb et al, 2006), heterocyst glycolipids (Kang et al, 2023), and long-chain diols (Lattaud et al, 2017). Recently, a machine-learning approach (the BIGMaC model) was proposed to infer the origins of environmental samples (e.g., soil, peat, marine, and lake settings) based on their GDGT distributions (Martínez-Sosa et al, 2023).…”
mentioning
confidence: 99%