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Understanding and predicting trace element (TE) mobility and biogeochemistry in the environment is essential in order to monitor, develop, and apply appropriate management decisions for polluted sites. This especially applies in the case of toxic TEs such as arsenic (As) and mercury (Hg). The fate and speciation of these TEs in soil or aquifers are closely related to physico-chemical conditions, such as Eh and pH, but also to microbial activities that can play either a direct role on speciation or an indirect role on mobility.
Indeed, some bacteria can directly oxidize As(III) to As(V) or reduce As(V) to As(III). This affects As toxicity, since As(III) is the most toxic form of As, and mobility, since As(III) is more mobile than As(V), which can readily adsorb to iron (oxy)hydroxides or organic matter1,2. Likewise, bacteria are strongly involved in mercury cycling, either through its methylation, mainly by sulfate and iron reducing bacteria3,4, forming the neurotoxin monomethyl mercury (readily bioaccumulated in the food chain), or through its reduction to volatile elementary Hg (Hg°)5.
Both As and Hg fates are also strongly linked to soil or aquifer composition, since compounds such as organic matter or iron (oxy)hydroxides can influence their sequestration and bioavailability. As(V) adsorbs well to iron (oxy)hydroxides6, whereas Hg has a very high affinity for organic matter (OM; mainly for thiol groups) but also for colloidal iron or manganese (oxy)hydroxides in OM depleted environments7,8,9,10,11.
Bacterial activities can then influence the fate of TEs adsorbed to (oxy)hydroxides or organic matter through the reduction of iron (oxy)hydroxides or the mineralization of organic matter. Direct iron reduction by bacteria is the dominant pathway for iron reduction in sulfur depleted zones12,13, Fe(III) being used as a terminal electron acceptor, whereas indirectly, Fe(III) can be reduced to Fe(II) by sulfide formed by a bacterial sulfate reduction14. Moreover, the presence of sulfate can also modify Hg and As speciation through the formation of complexes such as thio-arsenates15 with As or metacinnabar with Hg.
Thus, a better understanding of the impact of iron and sulfate cycling on the fate of TE, such as Hg and As, could help us to better manage contaminated sites and maintain soil and water quality. Data could also contribute to reinforcing existing metal-mobility models. Microbial Fe(III)-reduction16,17,18 can cause the desorption of TE. Theoretically, the indirect reduction of iron (oxy)hydroxides by sulfide produced by the microbial reduction of sulfate could also impact TE mobility. However, the extent and kinetics of these reactions are generally studied in batch homogenous systems or batch microcosms16,18,19,20. The drawback of batch experiments is the lack of dissociation of the occurring phenomena; indeed, activity is based on and limited by the resources present in the batch and only gives a final result of the shifts in speciation and adsorption. Using a column approach enables the renewal of inflowing media and the monitoring of the fate of TE over time and space. These conditions are more realistic when compared to an aquifer, where real phenomena are closely linked to continuous percolation conditions. Moreover, heterogeneous iron (oxy)hydroxide occurrence in aquifer sediments is common21,23, and the spatial changes in the mineralogical and chemical composition of the solid phases certainly drives microbial activities.
To elucidate the influence of these heterogeneities on geo-microbial phenomena and the fate of iron-associated TE, we developed a laboratory, a continuously-fed column representing a simplified model aquifer. The column is filled to create an iron-depleted zone at the column entrance and an iron-rich zone at the top. Regular sampling ports enable us to study each zone individually as well as interface-associated phenomena. An example of the application of this experimental device for the study of Hg fate and speciation is already available24. Here we give a detailed description of the experimental setup and a second example of its application focused on the behavior of As in contaminated aquifers.