Department of Civil and Environmental Engineering, University of Delaware, Newark, Delaware 19716, United States.
Department of Chemical Engineering, Manhattan College, Riverdale, New York 10471, United States.
Environ Sci Technol. 2024 Oct 8;58(40):17674-17684. doi: 10.1021/acs.est.4c06514. Epub 2024 Sep 26.
The electron accepting capacity (EAC) of soil plays a pivotal role in the biogeochemical cycling of nutrients and transformation of redox-labile contaminants. Prior EAC studies of soils and soil constituents utilized different methods, reductants, and mediators, making cross-study comparison difficult. This study was conducted to quantify and compare the EACs of two soil constituents (hematite and Leonardite humic acid) and 12 soils of diverse composition, using chemical redox titration (CRT) with dithionite as the reductant and mediated electrochemical reduction (MER) with diquat as the mediator. The EACs of hematite and humic acid measured by CRT (EAC) and MER (EAC) are similar and close to the theoretical/reported values. For soils, EAC and EAC increased with iron and organic carbon (TOC) contents, suggesting iron and carbon were the main contributors to soil EAC. EAC > EAC for all soils, and their difference (ΔEAC = EAC EAC) increased with TOC, presumably due to the longer contact time in CRT and thus more complete reduction of carbonaceous redox moieties. We propose an equation that relates EAC to EAC (ΔEAC = 1796 + 32) and another that predicts EAC from dithionite-reducible Fe and TOC (EAC = 2705 μmol e/g C × + 17907 μmol e/g Fe × ). Our results suggest that at least 10-15% of soil organic carbon contributed to EAC.
土壤的电子接受容量 (EAC) 在养分的生物地球化学循环和氧化还原敏感污染物的转化中起着关键作用。先前对土壤和土壤成分的 EAC 研究使用了不同的方法、还原剂和介体,使得跨研究比较变得困难。本研究旨在使用二硫代硫酸盐作为还原剂的化学氧化还原滴定 (CRT) 和二氯喹啉作为介体的介导电化学还原 (MER) 来量化和比较两种土壤成分(赤铁矿和莱奥纳德特腐殖酸)和 12 种组成多样的土壤的 EAC。通过 CRT(EAC)和 MER(EAC)测量的赤铁矿和腐殖酸的 EAC 相似且接近理论/报道值。对于土壤,EAC 和 EAC 随铁和有机碳 (TOC) 含量的增加而增加,表明铁和碳是土壤 EAC 的主要贡献者。所有土壤的 EAC > EAC,它们之间的差异(ΔEAC = EAC EAC)随 TOC 增加而增加,可能是由于 CRT 中的接触时间更长,从而导致更多的碳质氧化还原部分被完全还原。我们提出了一个将 EAC 与 EAC 相关联的方程(ΔEAC = 1796 + 32),以及另一个从二硫代硫酸盐可还原铁和 TOC 预测 EAC 的方程(EAC = 2705 μmol e/g C × + 17907 μmol e/g Fe × )。我们的结果表明,至少有 10-15%的土壤有机碳有助于 EAC。