Evidence map›Paper›PMID 33365315›Full record

ArticleFrontiers in environmental science2017

Controlling Bacterial Pathogens in Water for Reuse: Treatment Technologies for Water Recirculation in the Blue Diversion Autarky Toilet.

Mi T Nguyen, Lukas Allemann, Christopher Ziemba, Odile Larive, Eberhard Morgenroth, Timothy R Julian

Open access · goldAbstract read
In one paragraph

Article in Frontiers in environmental science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Mi T NguyenEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Lukas AllemannEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Christopher ZiembaEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Odile LariveEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Eberhard MorgenrothEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Timothy R JulianEawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Swiss Federal Institute of Aquatic Science and Technology · CHETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Blue Diversion AUTARKY Toilet is a urine-diverting toilet with on-site treatment. The toilet is being developed to provide a safe and affordable sanitation technology for people who lack access to sewer-based sanitation. Water used for personal hygiene, hand washing, and flushing to rinse urine- and feces-collection bowls is treated, stored, and recycled for reuse to reduce reliance on external water supplies. The system provides an opportunity to investigate hygiene of water for reuse following treatment. Treatment in the toilet includes a Biologically Activated Membrane Bioreactor (BAMBi) followed by a secondary treatment technology. To identify effective secondary treatment, three options, including granular activated carbon (GAC) only, GAC+chlorine (sodium hypochlorite), and GAC+electrolysis are considered based on the bacterial inactivation and growth inhibition efficiency. Four different hygiene-relevant bacteria are tested:

Indexed as

biologically active membrane bioreactorbiostabilityinactivationpathogenregrowthwater for reuse

Identifiers

PMID33365315
PMCPMC7705130
OpenAlexW2778247575

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.