AI summary

82% confidence

This paper describes a sequential reductive/oxidative bioelectrochemical system (BES) for PCE dechlorination across two separate chambers, operated under three feeding regimes (mineral medium, synthetic groundwater, real groundwater). The reductive cathode achieved 95–97% PCE removal at rates of 99 µeq/Ld (MM) to 0.51 µeq/Ld (RG), while the oxidative anode removed >90% of VC and cis-DCE. Microbiome composition shifted dramatically with feeding: MM favored Sulfuricurvum (54.6%), SG enriched it further (93.1%), and RG diversified the community with Methylocystis and Mycobacterium. D. mccartyi abundance ranged 8.78E+06–2.35E+07 copies/L, with tceA as the dominant reductive dehalogenase gene (up to 2.46E+07 copies/L in MM). etnC and etnE genes for VC oxidation increased 100-fold under RG (2.36E+08 and 2.38E+08 copies/L respectively).

Key insights

  • Trade-off Cathode potential shift from −550 mV to −450 mV vs. SHE reduced RD rate from 99 to 68 µeq/Ld (31% decrease) when switching from MM to SG, indicating potential-dependent competition with sulfate reduction (3.2 meq/Ld).

    So what. Operators must account for competing electron sinks (sulfate, nitrate, iron) when setting cathode potential; lower potentials may suppress dechlorination in sulfate-rich groundwater.

  • Mechanism Real groundwater feeding caused a 100-fold increase in etnC and etnE genes (2.24E+06 to 2.36E+08 copies/L etnC; 6.86E+06 to 2.38E+08 copies/L etnE) despite lower chlorinated ethylene concentrations (0.2 µM PCE vs. 100 µM in MM), suggesting iron(III) reduction (945 meq/Ld) or natural organic matter drives ethenotroph enrichment.

    So what. In aged, iron-rich contaminated sites, expect strong ethenotroph populations even at low contaminant levels; design oxidative chambers to exploit this for polishing.

  • Performance Shorter HRT (1.8 days for RG vs. 5.1 days for MM) combined with galvanostatic control (+15 mA) in the oxidative reactor achieved 92% VC removal under RG, matching the +1.4 V potentiostatic control in MM, indicating current density may be a more robust operating parameter than potential in complex matrices.

    So what. For field deployment in variable groundwater, use galvanostatic control and shorter HRT to maintain VC removal despite compositional changes.

  • Threshold tceA gene copies dropped 132-fold from MM (2.46E+07) to SG (1.87E+05) despite similar PCE removal efficiency (97% vs. 95%), while vcrA and bvcA remained relatively stable, indicating tceA expression is suppressed by nitrate/sulfate availability even when dechlorination proceeds.

    So what. Do not use tceA gene abundance alone as a performance indicator in nitrate-containing groundwater; couple with functional assays or product quantification.

  • Mechanism Mycobacterium (ethenotroph) abundance in the oxidative reactor was 1.3% under MM but enriched to 1.4% under RG, correlating with 92% VC removal in both cases, suggesting VC removal is not limited by ethenotroph abundance but by cathode-supplied substrate or anode potential.

    So what. Ensure adequate VC supply from the reductive chamber and maintain anode potential/current; microbial community composition alone does not predict oxidative performance.

Contradictions1

Tensions the paper itself points to. Each side quotes the passage it comes from.

  • Within the paper tceA gene abundance does not correlate with PCE removal efficiency across feeding regimes

    One side

    MM: tceA 2.46E+07 copies/L, PCE removal 97%

    “tceA was found as the most abundant reductive dehalogenase gene in all the conditions explored (up to 2.46 E + 07 gene copies/L in MM)”
    Other side

    SG: tceA 1.87E+05 copies/L (132-fold lower), PCE removal 95% (only 2% lower)

    “the utilization of RG in the reactor yielded a low RD rate (0.51 ± 0.04 µeq/Ld) mostly due to the complexity of RG in terms of chemical composition”

    Authors’ reading. Authors attribute the tceA suppression in SG to competition from sulfate/nitrate reduction (3.2 meq/Ld sulfate reduction vs. 0.3 meq/Ld nitrate reduction), which diverts electrons away from dechlorination but does not prevent it. The system maintains high PCE removal because the cathode potential (−450 mV vs. SHE) still drives dechlorination, albeit at a lower rate (68 vs. 99 µeq/Ld). This is not a true contradiction but a trade-off: competing reactions suppress tceA expression without eliminating dechlorination.

Opportunity areas6

Specific gaps in this paper, with an experiment that would close each.

  • High No systematic variation of cathode potential between −550 and −450 mV vs. SHE in the presence of nitrate/sulfate to identify the threshold potential at which dechlorination is outcompeted by sulfate/nitrate reduction

    RD rate dropped 31% (99 to 68 µeq/Ld) when potential shifted from −550 to −450 mV and sulfate/nitrate were introduced, but the paper does not isolate the effect of potential alone. A potential sweep under constant SG composition would reveal the operating window.

    Try. Vary cathode potential from −600 to −350 mV vs. SHE in SG (30 mg NO3−/L, 200 mg SO42−/L); measure RD rate, sulfate reduction rate, nitrate reduction rate, and tceA abundance at each potential.

  • High No measurement of N2O or nitrite accumulation during nitrate reduction in the SG feeding condition

    Nitrate reduction was quantified at 0.3 meq/Ld in SG, but no speciation of products (NO2−, N2O, N2) was reported. Incomplete denitrification could produce N2O, a potent greenhouse gas, or accumulate toxic NO2−.

    Try. Measure NO3−, NO2−, N2O, and N2 in the reductive reactor outlet during SG feeding using ion chromatography and gas chromatography; vary cathode potential and HRT to optimize complete denitrification to N2.

  • Medium No direct measurement of cathode potential or current density in the reductive reactor during RG feeding; only applied potential (−450 mV vs. SHE) is reported

    RG contains 31 mg/L Fe total and 20 mg/L Fe3+, which may form a biofilm or precipitate on the electrode, changing the actual potential experienced by the biofilm. Iron(III) reduction dominated (945 meq/Ld), suggesting the electrode surface chemistry differs from MM/SG conditions.

    Try. Measure electrode impedance and surface potential using electrochemical impedance spectroscopy (EIS) during RG feeding; correlate with biofilm composition and iron(III) reduction rate.

  • Medium No variation of HRT in the oxidative reactor to determine the minimum residence time for VC removal under different feeding regimes

    HRT was 5.1 d (MM), 3.7 d (SG), and 1.8 d (RG), but these were not systematically varied. The 1.8 d HRT in RG achieved 92% VC removal, suggesting further reduction may be possible, which would improve throughput.

    Try. Reduce HRT from 1.8 to 0.9 d in RG feeding while maintaining galvanostatic control at +15 mA; measure VC and cis-DCE removal efficiency and etnC/etnE gene abundance.

  • Medium No measurement of dissolved oxygen (DO) in the oxidative reactor outlet or control of aeration to optimize ethenotroph activity

    etnC and etnE genes encode aerobic VC oxidation enzymes, but the paper does not report DO levels or aeration strategy. RG feeding achieved 100-fold higher etnC/etnE abundance, possibly due to higher DO from natural organic matter oxidation or electrode-driven oxygen production.

    Try. Measure DO in the oxidative reactor outlet under MM, SG, and RG feeding; vary aeration rate (0–5 L/min) and measure VC removal efficiency and etnC/etnE abundance.

  • Low No measurement of catholyte pH in the reductive reactor, which affects electrode potential and microbial metabolism

    pH is critical for electrode kinetics and denitrification (optimal pH 6.5–8.5), but only the applied potential is reported. MM contains 2.5 g/L NaHCO3 (buffering), while SG and RG may have different pH profiles.

    Try. Monitor pH in the reductive reactor outlet during MM, SG, and RG feeding; correlate with RD rate, sulfate reduction rate, and D. mccartyi abundance.

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Abstract

Chlorinated solvents still represent an environmental concern that requires sustainable and innovative bioremediation strategies. This study describes the microbiome composition of a novel bioelectrochemical system (BES) based on sequential reductive/oxidative dechlorination for complete perchloroethylene (PCE) removal occurring in two separate but sequential chambers. The BES has been tested under various feeding compositions [i.e., anaerobic mineral medium (MM), synthetic groundwater (SG), and real groundwater (RG)] differing in presence of sulfate, nitrate, and iron (III). In addition, the main biomarkers of the dechlorination process have been monitored in the system under various conditions. Among them, Dehalococcoides mccartyi 16S rRNA and reductive dehalogenase genes ( tceA , bvcA , and vcrA ) involved in anaerobic dechlorination have been quantified. The etnE and etnC genes involved in aerobic dechlorination have also been quantified. The feeding composition affected the microbiome, in particular when the BES was fed with RG. Sulfuricurvum , enriched in the reductive compartment, operated with MM and SG, suggesting complex interactions in the sulfur cycle mostly including sulfur oxidation occurring at the anodic counter electrode (MM) or coupled to nitrate reduction (SG). Moreover, the known Mycobacterium responsible for natural attenuation of VC by aerobic degradation was found abundant in the oxidative compartment fed with RG, which was in line with the high VC removal observed (92 ± 2%). D. mccartyi was observed in all the tested conditions ranging from 8.78E + 06 (with RG) to 2.35E + 07 (with MM) 16S rRNA gene copies/L. tceA was found as the most abundant reductive dehalogenase gene in all the conditions explored (up to 2.46 E + 07 gene copies/L in MM). The microbiome dynamics and the occurrence of biomarkers of dechlorination, along with the kinetic performance of the system under various feeding conditions, suggested promising implications for the scale-up of the BES, which couples reductive with oxidative dechlorination to ensure the complete removal of highly chlorinated ethylene and mobile low-chlorinated by-products.

Keywords

Reductive dechlorinationDehalogenaseEnvironmental chemistrySulfurBioremediationEnrichment culture

Identifiers

Journal
Frontiers in Microbiology
Year
2022
Extraction

Reported parameters

53 extracted values

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No 3D model is mapped to this paper yet. Parameter ranges above still place reported values on the literature distribution.