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Modelling carbofuran biotransformation by: <i>Novosphingobium</i> sp. KN65.2 in the presence of coincidental carbon and indigenous microbes
Liu, L., Helbling, D. E., Kohler, H. P. E., & Smets, B. F. (2019). Modelling carbofuran biotransformation by: Novosphingobium sp. KN65.2 in the presence of coincidental carbon and indigenous microbes. Environmental Science: Water Research and Technology, 5(4), 798-807. https://doi.org/10.1039/c8ew00929e
Relative contribution of ammonia oxidizing bacteria and other members of nitrifying activated sludge communities to micropollutant biotransformation
Men, Y., Achermann, S., Helbling, D. E., Johnson, D. R., & Fenner, K. (2017). Relative contribution of ammonia oxidizing bacteria and other members of nitrifying activated sludge communities to micropollutant biotransformation. Water Research, 109, 217-226. https://doi.org/10.1016/j.watres.2016.11.048
Systematic exploration of biotransformation reactions of amine-containing micropollutants in activated sludge
Gulde, R., Meier, U., Schymanski, E. L., Kohler, H. P. E., Helbling, D. E., Derrer, S., … Fenner, K. (2016). Systematic exploration of biotransformation reactions of amine-containing micropollutants in activated sludge. Environmental Science and Technology, 50(6), 2908-2920. https://doi.org/10.1021/acs.est.5b05186
Biotransformation of two pharmaceuticals by the ammonia-oxidizing archaeon <I>Nitrososphaera gargensis</I>
Men, Y., Han, P., Helbling, D. E., Jehmlich, N., Herbold, C., Gulde, R., … Fenner, K. (2016). Biotransformation of two pharmaceuticals by the ammonia-oxidizing archaeon Nitrososphaera gargensis. Environmental Science and Technology, 50(9), 4682-4692. https://doi.org/10.1021/acs.est.5b06016
Biotransformation of amine-containing micropollutants in activated sludge: pH-dependency and biotransformation reactions
Gulde, R. K. (2015). Biotransformation of amine-containing micropollutants in activated sludge: pH-dependency and biotransformation reactions [Doctoral dissertation, ETH Zürich]. https://doi.org/10.3929/ethz-a-010602038
A framework for establishing predictive relationships between specific bacterial 16S rRNA sequence abundances and biotransformation rates
Helbling, D. E., Johnson, D. R., Lee, T. K., Scheidegger, A., & Fenner, K. (2015). A framework for establishing predictive relationships between specific bacterial 16S rRNA sequence abundances and biotransformation rates. Water Research, 70, 471-484. https://doi.org/10.1016/j.watres.2014.12.013
Association of biodiversity with the rates of micropollutant biotransformations among full-scale wastewater treatment plant communities
Johnson, D. R., Helbling, D. E., Lee, T. K., Park, J., Fenner, K., Kohler, H. P. E., & Ackermann, M. (2015). Association of biodiversity with the rates of micropollutant biotransformations among full-scale wastewater treatment plant communities. Applied and Environmental Microbiology, 81(2), 666-675. https://doi.org/10.1128/AEM.03286-14
Can meta-omics help to establish causality between contaminant biotransformations and genes or gene products?
Johnson, D. R., Helbling, D. E., Men, Y., & Fenner, K. (2015). Can meta-omics help to establish causality between contaminant biotransformations and genes or gene products? Environmental Science: Water Research and Technology, 1(3), 272-278. https://doi.org/10.1039/c5ew00016e
The functional and taxonomic richness of wastewater treatment plant microbial communities are associated with each other and with ambient nitrogen and carbon availability
Johnson, D. R., Lee, T. K., Park, J., Fenner, K., & Helbling, D. E. (2015). The functional and taxonomic richness of wastewater treatment plant microbial communities are associated with each other and with ambient nitrogen and carbon availability. Environmental Microbiology, 17(12), 4851-4860. https://doi.org/10.1111/1462-2920.12429
pH-dependent biotransformation of ionizable organic micropollutants in activated sludge
Gulde, R., Helbling, D. E., Scheidegger, A., & Fenner, K. (2014). pH-dependent biotransformation of ionizable organic micropollutants in activated sludge. Environmental Science and Technology, 48(23), 13760-13768. https://doi.org/10.1021/es5037139
Kinetics and yields of pesticide biodegradation at low substrate concentrations and under conditions restricting assimilable organic carbon
Helbling, D. E., Hammes, F., Egli, T., & Kohler, H. P. E. (2014). Kinetics and yields of pesticide biodegradation at low substrate concentrations and under conditions restricting assimilable organic carbon. Applied and Environmental Microbiology, 80(4), 1306-1313. https://doi.org/10.1128/AEM.03622-13
Emerging chemicals and the evolution of biodegradation capacities and pathways in bacteria
Kolvenbach, B. A., Helbling, D. E., Kohler, H. P. E., & Corvini, P. F. X. (2014). Emerging chemicals and the evolution of biodegradation capacities and pathways in bacteria. Current Opinion in Biotechnology, 27, 8-14. https://doi.org/10.1016/j.copbio.2013.08.017
A model framework to describe growth-linked biodegradation of trace-level pollutants in the presence of coincidental carbon substrates and microbes
Liu, L., Helbling, D. E., Kohler, H. P. E., & Smets, B. F. (2014). A model framework to describe growth-linked biodegradation of trace-level pollutants in the presence of coincidental carbon substrates and microbes. Environmental Science and Technology, 48(22), 13358-13366. https://doi.org/10.1021/es503491w
Systems toxicology approach to understand the kinetics of benzo(a)pyrene uptake, biotransformation, and dna adduct formation in a liver cell model
Madureira, D. J., Weiss, F. T., Van Midwoud, P., Helbling, D. E., Sturla, S. J., & Schirmer, K. (2014). Systems toxicology approach to understand the kinetics of benzo(a)pyrene uptake, biotransformation, and dna adduct formation in a liver cell model. Chemical Research in Toxicology, 27(3), 443-453. https://doi.org/10.1021/tx400446q
Genetic and metabolic analysis of the carbofuran catabolic pathway in <I>Novosphingobium</I> sp. KN65.2
Nguyen, T. P. O., Helbling, D. E., Bers, K., Fida, T. T., Wattiez, R., Kohler, H. P. E., … De Mot, R. (2014). Genetic and metabolic analysis of the carbofuran catabolic pathway in Novosphingobium sp. KN65.2. Applied Microbiology and Biotechnology, 98(19), 8235-8252. https://doi.org/10.1007/s00253-014-5858-5
Is biological treatment a viable alternative for micropollutant removal in drinking water treatment processes?
Benner, J., Helbling, D. E., Kohler, H. P. E., Wittebol, J., Kaiser, E., Prasse, C., … Boon, N. (2013). Is biological treatment a viable alternative for micropollutant removal in drinking water treatment processes? Water Research, 47(16), 5955-5976. https://doi.org/10.1016/j.watres.2013.07.015
Micropollutant biotransformation kinetics associate with WWTP process parameters and microbial community characteristics
Helbling, D. E., Johnson, D. R., Honti, M., & Fenner, K. (2012). Micropollutant biotransformation kinetics associate with WWTP process parameters and microbial community characteristics. Environmental Science and Technology, 46(19), 10579-10588. https://doi.org/10.1021/es3019012
The activity level of a microbial community function can be predicted from its metatranscriptome
Helbling, D. E., Ackermann, M., Fenner, K., Kohler, H. P. E., & Johnson, D. R. (2012). The activity level of a microbial community function can be predicted from its metatranscriptome. ISME Journal, 6(4), 902-904. https://doi.org/10.1038/ismej.2011.158
High-throughput identification of microbial transformation products of organic micropollutants
Helbling, D. E., Hollender, J., Kohler, H. P. E., Singer, H., & Fenner, K. (2010). High-throughput identification of microbial transformation products of organic micropollutants. Environmental Science and Technology, 44(17), 6621-6627. https://doi.org/10.1021/es100970m
Structure-based interpretation of biotransformation pathways of amide-containing compounds in sludge-seeded bioreactors
Helbling, D. E., Hollender, J., Kohler, H. P. E., & Fenner, K. (2010). Structure-based interpretation of biotransformation pathways of amide-containing compounds in sludge-seeded bioreactors. Environmental Science and Technology, 44(17), 6628-6635. https://doi.org/10.1021/es101035b