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Frederik Hammes

Researcher at Swiss Federal Institute of Aquatic Science and Technology

Publications -  119
Citations -  11423

Frederik Hammes is an academic researcher from Swiss Federal Institute of Aquatic Science and Technology. The author has contributed to research in topics: Water treatment & Water quality. The author has an hindex of 52, co-authored 116 publications receiving 9698 citations. Previous affiliations of Frederik Hammes include Ghent University.

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Flow-cytometric detection of changes in the physiological state of E. coli expressing a heterologous membrane protein during carbon-limited fedbatch cultivation.

TL;DR: This method enabled us to detect changes in the physiological state of single cells 2-4 h before other indications of partial cell damage, such as unbalanced growth, acetate accumulation and an increased CO(2) production rate, were observed, and shows promise with respect to the further development of an early-warning system to prevent sudden productivity decreases in processes with recombinant E. coli expressing heterologous membrane proteins.
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Flow-cytometric quantification of microbial cells on sand from water biofilters.

TL;DR: The rapidity and reproducibility of the method developed make its application ideal for routine quantification of microbial cell abundances on sand from water biofilters and thus useful in revealing the ecological patterns and quantifying the metabolic kinetics involved in such systems.
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Ugly ducklings-the dark side of plastic materials in contact with potable water.

TL;DR: The present study gives a detailed characterization of bath toy biofilms and a better understanding of determinants for biofilm formation and development in systems comprising plastic materials in contact with potable water.
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A comparative study of three different assimilable organic carbon (AOC) methods: results of a round-robin test

TL;DR: In this paper, a round-robin test was performed to evaluate the correlation between three established AOC methods, van der Kooij method, the Werner & Hambsch method and Eawag method, and good correlations were found between AOC concentrations measured with the various methods.
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Online analysis: Deeper insights into water quality dynamics in spring water.

TL;DR: A novel data analysis approach is developed, using self-organizing maps and non-linear projection methods, to approximate the TCC dynamics using the multivariate data sets of abiotic parameter time-series, thus providing a method that could be implemented in an online water quality management system for water suppliers.