Flow cytometric bacterial cell counts challenge conventional heterotrophic plate counts for routine microbiological drinking water monitoring

S Van Nevel, S Koetzsch, CR Proctor, MD Besmer… - Water Research, 2017 - Elsevier
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 …

Flow cytometry applications in water treatment, distribution, and reuse: A review

HR Safford, HN Bischel - Water research, 2019 - Elsevier
Ensuring safe and effective water treatment, distribution, and reuse requires robust methods
for characterizing and monitoring waterborne microbes. Methods widely used today can be …

Predominance of Cand. Patescibacteria in Groundwater Is Caused by Their Preferential Mobilization From Soils and Flourishing Under Oligotrophic Conditions

M Herrmann, CE Wegner, M Taubert… - Frontiers in …, 2019 - frontiersin.org
Despite the widely observed predominance of Cand. Patescibacteria in subsurface
communities, their input source and ecophysiology are poorly understood. Here we study …

Identifying the underlying causes of biological instability in a full-scale drinking water supply system

A Nescerecka, T Juhna, F Hammes - Water research, 2018 - Elsevier
Abstract Changes in bacterial concentration and composition in drinking water during
distribution are often attributed to biological (in) stability. Here we assessed temporal …

[HTML][HTML] Aquifer recharge viewed through the lens of microbial community ecology: Initial disturbance response, and impacts of species sorting versus mass effects on …

L Fillinger, K Hug, C Griebler - Water research, 2021 - Elsevier
Riverbank filtration has gained increasing importance for balancing rising groundwater
demands and securing drinking water supplies. While microbial communities are the pillar of …

[HTML][HTML] The value of human data annotation for machine learning based anomaly detection in environmental systems

S Russo, MD Besmer, F Blumensaat, D Bouffard… - Water Research, 2021 - Elsevier
Anomaly detection is the process of identifying unexpected data samples in datasets.
Automated anomaly detection is either performed using supervised machine learning …

Rapid detection methods for bacterial pathogens in ambient waters at the point of sample collection: a brief review

J Li, Y Zhu, X Wu, MR Hoffmann - Clinical Infectious Diseases, 2020 - academic.oup.com
The world is currently facing a serious health burden of waterborne diseases, including
diarrhea, gastrointestinal diseases, and systemic illnesses. The control of these infectious …

Online microbial fingerprinting for quality management of drinking water: Full-scale event detection

J Favere, B Buysschaert, N Boon, B De Gusseme - Water Research, 2020 - Elsevier
Microbial regrowth during drinking water distribution can result in a variety of problems such
as a deviating taste and odor, and may even pose a risk to public health. Frequent …

Potential of flow cytometric approaches for rapid microbial detection and characterization in the food industry—A review

E Zand, A Froehling, C Schoenher… - Foods, 2021 - mdpi.com
As microbial contamination is persistent within the food and bioindustries and foodborne
infections are still a significant cause of death, the detection, monitoring, and …

Population heterogeneity in microbial bioprocesses: origin, analysis, mechanisms, and future perspectives

AL Heins, D Weuster-Botz - Bioprocess and biosystems engineering, 2018 - Springer
Population heterogeneity is omnipresent in all bioprocesses even in homogenous
environments. Its origin, however, is only so well understood that potential strategies like bet …