溶解有机碳
化学
底土
环境化学
浸出(土壤学)
碳纤维
有机质
矿化(土壤科学)
土壤碳
土壤有机质
土壤水分
总有机碳
热解
遗传算法
分析化学(期刊)
化学工程
质谱法
分解
动能
傅里叶变换红外光谱
降级(电信)
傅里叶变换离子回旋共振
动力学
碳循环
活性炭
土壤化学
无机化学
离子
生物地球化学循环
分子动力学
作者
Wenxia Wang,Rong Li,Qianting Ye,Peng Liao,Z. Y. Xiao,Shuling Chen,Zhenqing Shi
标识
DOI:10.1021/acs.est.6c05819
摘要
Soil dissolved organic matter (DOM) leaching critically regulates subsoil carbon stocks, yet how molecular heterogeneity governs the coupled release-diffusion kinetics remains elusive. Here, we employed a novel column system with in situ porewater samplers and Fourier transform ion cyclotron resonance mass spectrometry to resolve DOM molecular behaviors at unprecedented resolution. By establishing the compound-specific interfacial release preference index and apparent diffusive mass-transfer coefficient, coupled with interpretable machine learning algorithms, we revealed strong molecular-level selectivity in both processes: the O/C ratio and oxygen content predominantly controlled interphase release, while the aromaticity index and double bond equivalent governed intrapore diffusion. These findings challenge the simplification of bulk dissolved organic carbon in current soil carbon turnover models and provide estimated molecular parameters essential for mechanistically predicting subsoil carbon stability under changing climate conditions.
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