Microbial responses to combined oxidation and catalysis treatment of 1,4-dioxane and co-contaminants in groundwater and soil

Yu, Miao; Johnson, Nicholas W.; Heck, Kimberly N.; Guo, Sujin; Powell, Camilah D.; Phan, Thien; Gedalanga, Phillip B.; Adamson, David T.; Newell, Charles J.; Wong, Michael S.; Mahendra, Shaily

doi:10.1007/s11783-018-1071-6

Cited by 13 publications

(3 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Principal coordinates analysis (PCoA) was conducted to compare similarities among samples based on phylogenetic information (Unifrac distances) and a Silva-OTU table, 11 with "phyloseq" package in R. 41 The linear discriminant analysis (LDA) effect size (LEfSe) method was used to determine the taxa that were most likely to explain differences of microbial communities among groups (contaminant conditions or treatment processes), by using a prebuilt python script with nonparametric factorial Kruskal−Wallis sum-rank test and (unpaired) Wilcoxon rank-sum test, 42 and the determining taxon was defined as the representative biomarker of the specific group. 43 2.4. Predictive Features and Correlation Network.…”

Section: Microcosm Construction and Sample Analysismentioning

confidence: 99%

Investigating Biodegradation of 1,4-Dioxane by Groundwater and Soil Microbiomes: Insights into Microbial Ecology and Process Prediction

Miao,

Zhou,

Zheng

et al. 2023

ACS EST Water

Self Cite

View full text Add to dashboard Cite

Although microorganisms play significant roles in bioremediation, their contributions to long-term site characteristics during and after active treatment need to be fully elucidated. This study described microbial ecology dynamics in 1,4-dioxane- and chlorinated solvents-contaminated groundwater in laboratory microcosms. Bioaugmented Pseudonocardia dioxanivorans CB1190 improved 1,4-dioxane removal, with increased carbohydrate and amino acid metabolism, but was eventually outcompeted by native microbes. The original microbiomes were perturbed and divergent but tended to be similar over time. Dechlorinating bacteria co-existed in the same niche, whereas CB1190 had more negative interactions in the shared niche. Multiple regression and classification machine learning models were built by using microbial taxa to predict the degradation process; the ensemble regression model provided most accurate prediction of 1,4-dioxane concentrations (R 2 = 0.81 ± 0.17). Among the classification models, the support vector machine performed the best in differentiating the contamination levels (accuracy at 0.67 ± 0.07, kappa at 0.56 ± 0.10). The ensemble model predicted the 1,4-dioxane concentrations and relative duration of contamination with independent microbial datasets from a field study, and the results aligned with the geographic and hydrological information from monitoring wells. This study introduces the application of machine learning in microbiome-based diagnostics for groundwater remediation and evaluation, providing valuable methods for future research and practice.

show abstract

Section: Microcosm Construction and Sample Analysismentioning

confidence: 99%

Investigating Biodegradation of 1,4-Dioxane by Groundwater and Soil Microbiomes: Insights into Microbial Ecology and Process Prediction

Miao,

Zhou,

Zheng

et al. 2023

ACS EST Water

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the environment, 1,4-dioxane has shown remarkable recalcitrance to natural biological and chemical attenuation processes, and its removal by traditional water treatment approaches has proven to be a challenge. Generally, strong oxidants are needed to activate the diether ring. − Several studies have demonstrated that advanced oxidation processes (AOPs) such as H 2 O 2 , plasma, UV, peroxymonosulfate, and ozone treatment are effective in generating reactive oxygen species (ROS) to degrade 1,4-dioxane. − Electrochemical oxidation has emerged as a promising technology to remove persistent organic pollutants − because it is cost-competitive with other AOPs and can be implemented for in situ groundwater treatment by using mesh electrodes. , Indirect oxidation through generated ROS such as ·OH and direct electron transfer were shown as the main degradation mechanism of this technology . However, in spite of the effectiveness of the electrochemical oxidation processes, high capital costs and considerable energy consumption have thus far deferred field-scale applications.…”

Section: Introductionmentioning

confidence: 99%

Bioelectrochemical Treatment of 1,4-Dioxane in the Presence of Chlorinated Solvents: Design, Process, and Sustainability Considerations

Pica

Johnson

et al. 2021

ACS Sustainable Chem. Eng.

Self Cite

View full text Add to dashboard Cite

1,4-Dioxane is one of the most frequently detected organic water contaminants and often co-occurs with chlorinated volatile organic compounds due to its use as solvent stabilizer. Its recalcitrance challenges natural attenuation processes and conventional water treatment technologies. Here, we examined the bioelectrochemical oxidation of 1,4-dioxane using dimensionally stable mesh electrodes in flow-through reactors coupled with bioaugmentation by Pseudonocardia dioxanivorans CB1190. 1,4-Dioxane influent concentrations were rapidly reduced from 100000 μg/L by more than 4 orders of magnitude to below our detection limit of 3 μg/L. The application of an electric potential was associated with a higher abundance of P. dioxanivorans CB1190 in both sessile and planktonic states. The presence of 5 mg/L 1,1-dichloroethene, the strongest known chlorinated solvent inhibitor of 1,4-dioxane biodegradation, reduced 1,4-dioxane degradation rates by factors of 2–4 inspite of >99% electrochemical removal. In comparison with direct electrochemical 1,4-dioxane oxidation, the coupling with biological oxidation reduced energy consumption, material usage, and, consequently, overall treatment costs by about 1 order of magnitude while generating lower amounts of disinfection byproducts. Our results establish that bioelectrochemical treatment is a synergistic, sustainable technology for water contaminated with 1,4-dioxane and chlorinated co-contaminants to meet strict regulatory thresholds.

show abstract

“…A newer approach to treat recalcitrant environmental contaminants is combining physical or chemical treatments with biological processes to create synergies that increase the overall removal efficiency and sustainability relative to the individual processes. Several successful examples of this have combined chemical oxidation, , electrochemical oxidation, and adsorption , with biodegradation for 1,4-dioxane treatment. Although abiotic adsorption is in many cases an effective removal method for recalcitrant environmental contaminants, it does have some drawbacks as previously discussed, namely, the capacity of the adsorbent.…”

Section: Introductionmentioning

confidence: 99%

Mechanisms of 1,4-Dioxane Biodegradation and Adsorption by Bio-Zeolite in the Presence of Chlorinated Solvents: Experimental and Molecular Dynamics Simulation Studies

Liu

Chen

Zhong

et al. 2019

Environ. Sci. Technol.

Self Cite

View full text Add to dashboard Cite

The use of bioaugmented zeolite (bio-zeolite) can be an effective technology for irreversibly removing recalcitrant organic pollutants in aqueous mixtures. Removal of 1,4-dioxane by a bio-zeolite (Pseudonocardia dioxanivorans CB1190-bioaugmented ZSM-5) in the presence of several chlorinated volatile organic compounds (CVOCs) was superior to removal by adsorption using abiotic zeolite. Mixtures containing 1,1-dichloroethene (1,1-DCE) were an exception, which completely inhibited the bio-zeolite system. Specific adsorption characteristics were studied using adsorption isotherms in single-solute and bisolute systems accompanied by Polanyi theory-based Dubinin−Astakhov (DA) modeling. Adsorption behavior was examined using characteristic energy (E a/H ) from modified DA models and molecular dynamics simulations. While the tight-fit of 1,4-dioxane in the hydrophobic channels of ZSM-5 appears to drive 1,4dioxane adsorption, the greater hydrophobicity of trichloroethene and cis-1,2-dichloroethene cause them have a greater affinity over 1,4-dioxane for adsorption sites on the zeolite. 1,4-Dioxane was desorbed and displaced by CVOCs except 1,1-DCE because of its low E a/H value, explaining why bio-zeolite only biodegraded 1,4-dioxane in 1,1-DCE-free CVOC mixtures. Understanding the adsorption mechanisms of solutes in complex mixtures is crucial for the implementation of sorption-based treatment technologies for the removal of complex contaminant mixtures from aquatic environments.

show abstract

Microbial responses to combined oxidation and catalysis treatment of 1,4-dioxane and co-contaminants in groundwater and soil

Cited by 13 publications

References 58 publications

Investigating Biodegradation of 1,4-Dioxane by Groundwater and Soil Microbiomes: Insights into Microbial Ecology and Process Prediction

Investigating Biodegradation of 1,4-Dioxane by Groundwater and Soil Microbiomes: Insights into Microbial Ecology and Process Prediction

Bioelectrochemical Treatment of 1,4-Dioxane in the Presence of Chlorinated Solvents: Design, Process, and Sustainability Considerations

Mechanisms of 1,4-Dioxane Biodegradation and Adsorption by Bio-Zeolite in the Presence of Chlorinated Solvents: Experimental and Molecular Dynamics Simulation Studies

Contact Info

Product

Resources

About