Cao Han, Pavitt Ania S, Hudson Jeffrey M, Tratnyek Paul G, Xu Wenqing
Department of Civil and Environmental Engineering, Villanova University, Villanova, Pennsylvania 19085, USA.
OHSU/PSU School of Public Health, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, OR 97239, USA.
Environ Sci Process Impacts. 2023 Apr 26;25(4):767-780. doi: 10.1039/d3em00009e.
Pyrogenic dissolved organic matter (pyDOM) is derived from black carbon, which is important in the global carbon cycle and other biogeochemical redox processes. The electron-exchange capacity (EEC) of pyDOM has been characterized in water using mediated chronoamperometry (MCA), which gives precise results under specific operational conditions, but the broader significance of these EECs is less clear. In this study, we described a novel but complementary electrochemical approach to quantify EECs of pyDOM without mediation using square-wave voltammetry (SWV) in dimethyl sulfoxide (DMSO). Using both the SWV and MCA methods, we determined EECs for 10 pyDOMs, 6 natural organic matter (NOM) samples, and 2 model quinones. The two methods gave similar EECs for model quinones, but SWV gave larger EECs than MCA for NOM and pyDOM (by several-fold and 1-2 orders of magnitude, respectively). The differences in the EECs obtained by SWV and MCA likely are due to multiple factors, including the potential range of electrons sampled, kinetics of electron transfer from (macro)molecular structures, and coupling of electron and proton transfer steps. Comparison of the results obtained by these two methods should provide new insights into important environmental processes such as carbon-cycling, wildfire recovery, and contaminant mitigation using carbon-based amendments.
热解溶解有机物(pyDOM)源自黑碳,其在全球碳循环和其他生物地球化学氧化还原过程中具有重要意义。pyDOM的电子交换容量(EEC)已通过介导计时电流法(MCA)在水中进行了表征,该方法在特定操作条件下能给出精确结果,但这些EEC的更广泛意义尚不清楚。在本研究中,我们描述了一种新颖但互补的电化学方法,即在二甲基亚砜(DMSO)中使用方波伏安法(SWV)来定量pyDOM的EEC,而无需介导。使用SWV和MCA两种方法,我们测定了10种pyDOM、6个天然有机物(NOM)样品和2种模型醌的EEC。两种方法对模型醌给出的EEC相似,但对于NOM和pyDOM,SWV给出的EEC比MCA更大(分别大几倍和1 - 2个数量级)。SWV和MCA获得的EEC差异可能是由于多种因素,包括所采样电子的电位范围、电子从(宏观)分子结构转移的动力学以及电子和质子转移步骤的耦合。这两种方法所得结果的比较应为碳循环、野火恢复以及使用碳基改良剂减轻污染物等重要环境过程提供新的见解。