2010
DOI: 10.1016/j.watres.2009.10.043
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Removal of virus to protozoan sized particles in point-of-use ceramic water filters

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Cited by 62 publications
(52 citation statements)
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“…Apparently, a threefold increase in flow rate e and thus shorter residence time in the ceramic element e does not have an effect on the removal of E. coli. This confirms that mechanical screening is the main mechanism for E. coli removal (Bielefeldt et al, 2010) as opposed to processes like adsorption and diffusion into dead-end pores. Also, the uniform LRV between the high flow filters suggests that (effective) pore sizes are not increased by increasing the rice husk content from 11 to 14 kg.…”
supporting
confidence: 69%
“…Apparently, a threefold increase in flow rate e and thus shorter residence time in the ceramic element e does not have an effect on the removal of E. coli. This confirms that mechanical screening is the main mechanism for E. coli removal (Bielefeldt et al, 2010) as opposed to processes like adsorption and diffusion into dead-end pores. Also, the uniform LRV between the high flow filters suggests that (effective) pore sizes are not increased by increasing the rice husk content from 11 to 14 kg.…”
supporting
confidence: 69%
“…It is indicated that less porous ceramic filters could remove microorganisms efficiently. The pore sizes of ceramic water filters determine the ability to remove particles and pathogens from water [14]. As indicated in Fig.…”
Section: Resultsmentioning
confidence: 99%
“…While other, non-climatic factors such as demography and behavior might also affect future incidence of diarrhea attributable to each of these pathogens, the differential response of different pathogen taxa to weather has implications for adaptation strategies. For example, water treatment technologies such as ceramic water filters, which are effective against bacteria (Brown & Sobsey, 2010) and cryptosporidium (Bielefeldt et al, 2010) but less so against viruses might be preferred over chlorination, which is ineffective against protozoan. Mechanistic systems-based approaches would allow researchers to predict the microbial effectiveness, filter prevalence and compliance rates needed to mitigate current (Mellor et al, 2014) and future disease transmission, incorporating meteorological as well as social and demographic data.…”
Section: Discussionmentioning
confidence: 99%