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  • (-) Organizational Unit = Environmental Microbiology UMIK
  • (-) Publication Year = 2006 - 2018
  • (-) Keywords ≠ bioaugmentation
  • (-) Keywords = drinking water
Search Results 1 - 20 of 31
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Short-term organic carbon migration from polymeric materials in contact with chlorinated drinking water
Mao, G., Wang, Y., & Hammes, F. (2018). Short-term organic carbon migration from polymeric materials in contact with chlorinated drinking water. Science of the Total Environment, 613-614, 1220-1227. https://doi.org/10.1016/j.scitotenv.2017.09.166
Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry data
Props, R., Rubbens, P., Besmer, M., Buysschaert, B., Sigrist, J., Weilenmann, H., … Hammes, F. (2018). Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry data. Water Research, 145, 73-82. https://doi.org/10.1016/j.watres.2018.08.013
Evaluating monitoring strategies to detect precipitation-induced microbial contamination events in karstic springs used for drinking water
Besmer, M. D., Hammes, F., Sigrist, J. A., & Ort, C. (2017). Evaluating monitoring strategies to detect precipitation-induced microbial contamination events in karstic springs used for drinking water. Frontiers in Microbiology, 8, 2229 (12 pp.). https://doi.org/10.3389/fmicb.2017.02229
Laboratory-scale simulation and real-time tracking of a microbial contamination event and subsequent shock-chlorination in drinking water
Besmer, M. D., Sigrist, J. A., Props, R., Buysschaert, B., Mao, G., Boon, N., & Hammes, F. (2017). Laboratory-scale simulation and real-time tracking of a microbial contamination event and subsequent shock-chlorination in drinking water. Frontiers in Microbiology, 8, 1900 (11 pp.). https://doi.org/10.3389/fmicb.2017.01900
Online analysis: deeper insights into water quality dynamics in spring water
Page, R. M., Besmer, M. D., Epting, J., Sigrist, J. A., Hammes, F., & Huggenberger, P. (2017). Online analysis: deeper insights into water quality dynamics in spring water. Science of the Total Environment, 599-600, 227-236. https://doi.org/10.1016/j.scitotenv.2017.04.204
Behavior and stability of adenosine triphosphate (ATP) during chlorine disinfection
Nescerecka, A., Juhna, T., & Hammes, F. (2016). Behavior and stability of adenosine triphosphate (ATP) during chlorine disinfection. Water Research, 101, 490-497. https://doi.org/10.1016/j.watres.2016.05.087
A systematic approach for the assessment of bacterial growth-controlling factors linked to biological stability of drinking water in distribution systems
Prest, E. I., Hammes, F., Kötzsch, S., van Loosdrecht, M. C. M., & Vrouwenvelder, J. S. (2016). A systematic approach for the assessment of bacterial growth-controlling factors linked to biological stability of drinking water in distribution systems. Water Science and Technology: Water Supply, 16(4), 865-880. https://doi.org/10.2166/ws.2016.001
Bacterial growth in batch-operated membrane filtration systems for drinking water treatment
Mimoso, J., Pronk, W., Morgenroth, E., & Hammes, F. (2015). Bacterial growth in batch-operated membrane filtration systems for drinking water treatment. Separation and Purification Technology, 156, 165-174. https://doi.org/10.1016/j.seppur.2015.09.070
The feasibility of automated online flow cytometry for <I>in-situ</I> monitoring of microbial dynamics in aquatic ecosystems
Besmer, M. D., Weissbrodt, D. G., Kratochvil, B. E., Sigrist, J. A., Weyland, M. S., & Hammes, F. (2014). The feasibility of automated online flow cytometry for in-situ monitoring of microbial dynamics in aquatic ecosystems. Frontiers in Microbiology, 5, 265 (12 pp.). https://doi.org/10.3389/fmicb.2014.00265
Solar water disinfection by a Parabolic Trough Concentrator (PTC): flow-cytometric analysis of bacterial inactivation
Bigoni, R., Kötzsch, S., Sorlini, S., & Egli, T. (2014). Solar water disinfection by a Parabolic Trough Concentrator (PTC): flow-cytometric analysis of bacterial inactivation. Journal of Cleaner Production, 67, 62-71. https://doi.org/10.1016/j.jclepro.2013.12.014
Abundance and composition of indigenous bacterial communities in a multi-step biofiltration-based drinking water treatment plant
Lautenschlager, K., Hwang, C., Ling, F., Liu, W. T., Boon, N., Köster, O., … Hammes, F. (2014). Abundance and composition of indigenous bacterial communities in a multi-step biofiltration-based drinking water treatment plant. Water Research, 62, 40-52. https://doi.org/10.1016/j.watres.2014.05.035
Microbiological tap water profile of a medium-sized building and effect of water stagnation
Lipphaus, P., Hammes, F., Kötzsch, S., Green, J., Gillespie, S., & Nocker, A. (2014). Microbiological tap water profile of a medium-sized building and effect of water stagnation. Environmental Technology, 35(5), 620-628. https://doi.org/10.1080/09593330.2013.839748
Monitoring microbiological changes in drinking water systems using a fast and reproducible flow cytometric method
Prest, E. I., Hammes, F., Kötzsch, S., van Loosdrecht, M. C. M., & Vrouwenvelder, J. S. (2013). Monitoring microbiological changes in drinking water systems using a fast and reproducible flow cytometric method. Water Research, 47(19), 7131-7142. https://doi.org/10.1016/j.watres.2013.07.051
A comparative study of three different assimilable organic carbon (AOC) methods: results of a round-robin test
Ross, P. S., Hammes, F., Dignum, M., Magic-Knezev, A., Hambsch, B., & Rietveld, L. C. (2013). A comparative study of three different assimilable organic carbon (AOC) methods: results of a round-robin test. Water Science and Technology: Water Supply, 13(4), 1024-1033. https://doi.org/10.2166/ws.2013.079
A new method to assess the influence of migration from polymeric materials on the biostability of drinking water
Bucheli-Witschel, M., Kötzsch, S., Darr, S., Widler, R., & Egli, T. (2012). A new method to assess the influence of migration from polymeric materials on the biostability of drinking water. Water Research, 46(13), 4246-4260. https://doi.org/10.1016/j.watres.2012.05.008
Cryptosporidium spp. in drinking water. Samples from rural sites in Switzerland
Füchslin, H. P., Kötzsch, S., & Egli, T. (2012). Cryptosporidium spp. in drinking water. Samples from rural sites in Switzerland. Swiss Medical Weekly, 142, 1-8. https://doi.org/10.4414/smw.2012.13683
Development and laboratory-scale testing of a fully automated online flow cytometer for drinking water analysis
Hammes, F., Broger, T., Weilenmann, H. U., Vital, M., Helbing, J., Bosshart, U., … Sonnleitner, B. (2012). Development and laboratory-scale testing of a fully automated online flow cytometer for drinking water analysis. Cytometry Part A, 81A(6), 508-516. https://doi.org/10.1002/cyto.a.22048
Flow cytometry and adenosine tri-phosphate analysis: alternative possibilities to evaluate major bacteriological changes in drinking water treatment and distribution systems
Vital, M., Dignum, M., Magic-Knezev, A., Ross, P., Rietveld, L., & Hammes, F. (2012). Flow cytometry and adenosine tri-phosphate analysis: alternative possibilities to evaluate major bacteriological changes in drinking water treatment and distribution systems. Water Research, 46(15), 4665-4676. https://doi.org/10.1016/j.watres.2012.06.010
Nutrient gradients in a granular activated carbon biofilter drives bacterial community organization and dynamics
Boon, N., Pycke, B. F. G., Marzorati, M., & Hammes, F. (2011). Nutrient gradients in a granular activated carbon biofilter drives bacterial community organization and dynamics. Water Research, 45(19), 6355-6361. https://doi.org/10.1016/j.watres.2011.09.016
Kinetics of membrane damage to high (HNA) and low (LNA) nucleic acid bacterial clusters in drinking water by ozone, chlorine, chlorine dioxide, monochloramine, ferrate(VI), and permanganate
Ramseier, M. K., von Gunten, U., Freihofer, P., & Hammes, F. (2011). Kinetics of membrane damage to high (HNA) and low (LNA) nucleic acid bacterial clusters in drinking water by ozone, chlorine, chlorine dioxide, monochloramine, ferrate(VI), and permanganate. Water Research, 45(3), 1490-1500. https://doi.org/10.1016/j.watres.2010.11.016