2024
DOI: 10.1016/j.eehl.2024.03.001
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Soil metabolomics: Deciphering underground metabolic webs in terrestrial ecosystems

Yang Song,
Shi Yao,
Xiaona Li
et al.
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Cited by 2 publications
(2 citation statements)
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“…LDI-FT-ICR-MS allowed for a direct view into the bandwidth of molecules that constitute SOM, and provided deeper insights into the molecular effects of long-term FYM addition. The technique may therefore complement existing targeted and non-targeted LC-MS approaches (Bahureksa et al, 2021;Brown et al, 2024;Song et al, 2024). Of special interest is the ability to study both soluble (e.g., as powder from dried extracts or via direct comparison with liquid-state FT-ICR-MS) and non-soluble compounds (soil particles, soil fractions, etc.…”
Section: Limitations Of the Approachmentioning
confidence: 99%
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“…LDI-FT-ICR-MS allowed for a direct view into the bandwidth of molecules that constitute SOM, and provided deeper insights into the molecular effects of long-term FYM addition. The technique may therefore complement existing targeted and non-targeted LC-MS approaches (Bahureksa et al, 2021;Brown et al, 2024;Song et al, 2024). Of special interest is the ability to study both soluble (e.g., as powder from dried extracts or via direct comparison with liquid-state FT-ICR-MS) and non-soluble compounds (soil particles, soil fractions, etc.…”
Section: Limitations Of the Approachmentioning
confidence: 99%
“…) or individual biomarker level (lignin phenols, amino sugars, etc.). Few have employed non-targeted metabolomics approaches having the potential to elucidating SOM formation, turnover, and stabilization on a molecular level (Li et al, 2023;Brown et al, 2024;Song et al, 2024). Tang et al (2023) used liquid chromatography coupled to time of flight tandem mass spectrometry (LC-MS) and found that extractable SOM (using organic solvents) responded to long-term FYM addition.…”
Section: Introductionmentioning
confidence: 99%