Frederik Hammes

Frederik Hammes


Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 July 2010 in Water Research
Verified
Journal Article
Closed access
FHFrederik Hammes
Frederik Hammes
FGFelix Goldschmidt
Felix Goldschmidt
MVMarius Vital
Marius Vital
YWYingying Wang
Yingying Wang
TEThomas Egli
Thomas Egli

1 April 2017 in Water Research
Verified
Journal Article
Open access
SNS. Van Nevel
S. Van Nevel
SKS. Koetzsch
S. Koetzsch
CPC.R. Proctor
C.R. Proctor
MBM D Besmer
M D Besmer
EPE.I. Prest
E.I. Prest
FHFrederik Hammes
Frederik Hammes
Drinking water utilities and researchers continue to rely on the century-old heterotrophic plate counts (HPC) method for routine assessment of general microbiological water quality. Bacterial cell counting with flow cytometry (FCM) is one of a number of alternative methods that challenge this status quo and provide an opportunity for improved water quality monitoring. After more than a decade of application in drinking water research, FCM methodology is optimised and established for routine application, supported by a considerable amount of data from multiple full-scale studies. Bacterial cell concentrations obtained by FCM enable quantification of the entire bacterial community instead of the minute fraction of cultivable bacteria detected with HPC (typically < 1% of all bacteria). FCM measurements are reproducible with relative standard deviations below 3% and can be available within 15 min of samples arriving in the laboratory. High throughput sample processing and complete automation are feasible and FCM analysis is arguably less expensive than HPC when measuring more than 15 water samples per day, depending on the laboratory and selected staining procedure(s). Moreover, many studies have shown FCM total (TCC) and intact (ICC) cell concentrations to be reliable and robust process variables, responsive to changes in the bacterial abundance and relevant for characterising and monitoring drinking water treatment and distribution systems. The purpose of this critical review is to initiate a constructive discussion on whether FCM could replace HPC in routine water quality monitoring. We argue that FCM provides a faster, more descriptive and more representative quantification of bacterial abundance in drinking water.

1 October 2014 in Water Research
Verified
Journal Article
Closed access
KLKarin Lautenschlager
Karin Lautenschlager
CHChiachi Hwang
Chiachi Hwang
FLFangqiong Ling
Fangqiong Ling
WLWen-Tso Liu
Wen-Tso Liu
NBNico Boon
Nico Boon
FHFrederik Hammes
Frederik Hammes

1 June 2015 in Current Opinion in Biotechnology
Verified
Journal Article
Closed access
CPCaitlin R Proctor
Caitlin R Proctor
FHFrederik Hammes
Frederik Hammes

1 August 2013 in Journal of Microbiological Methods
Verified
Journal Article
Closed access
SNSam Van Nevel
Sam Van Nevel
SKStefan Koetzsch
Stefan Koetzsch
HWHans-Ulrich Weilenmann
Hans-Ulrich Weilenmann
NBNico Boon
Nico Boon
FHFrederik Hammes
Frederik Hammes

5 May 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
ANAlina Nescerecka
Alina Nescerecka
JRJanis Rubulis
Janis Rubulis
MVMarius Vital
Marius Vital
Talis JuhnaTalis Juhna
Talis Juhna
FHFrederik Hammes
Frederik Hammes
The purpose of a drinking water distribution system is to deliver drinking water to the consumer, preferably with the same quality as when it left the treatment plant. In this context, the maintenance of good microbiological quality is often referred to as biological stability, and the addition of sufficient chlorine residuals is regarded as one way to achieve this. The full-scale drinking water distribution system of Riga (Latvia) was investigated with respect to biological stability in chlorinated drinking water. Flow cytometric (FCM) intact cell concentrations, intracellular adenosine tri-phosphate (ATP), heterotrophic plate counts and residual chlorine measurements were performed to evaluate the drinking water quality and stability at 49 sampling points throughout the distribution network. Cell viability methods were compared and the importance of extracellular ATP measurements was examined as well. FCM intact cell concentrations varied from 5×103 cells mL−1 to 4.66×105 cells mL−1 in the network. While this parameter did not exceed 2.1×104 cells mL−1 in the effluent from any water treatment plant, 50% of all the network samples contained more than 1.06×105 cells mL−1. This indisputably demonstrates biological instability in this particular drinking water distribution system, which was ascribed to a loss of disinfectant residuals and concomitant bacterial growth. The study highlights the potential of using cultivation-independent methods for the assessment of chlorinated water samples. In addition, it underlines the complexity of full-scale drinking water distribution systems, and the resulting challenges to establish the causes of biological instability.