Evidence map›Paper›PMID 32443709›Full record

ArticleSensors (Basel, Switzerland)2020

Fecal Malodor Detection Using Low-Cost Electrochemical Sensors.

Siddharth Kawadiya, Claire Welling, Sonia Grego, Marc A Deshusses

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Siddharth KawadiyaDepartment of Civil and Environmental Engineering, Box 90287, Duke University, Durham, NC 27708, USA.ORCID 0000-0001-8961-2246
Claire WellingDuke University Center for WaSH-AID and Department of Electrical and Computer Engineering, Durham, NC 27701, USA.
Sonia GregoDuke University Center for WaSH-AID and Department of Electrical and Computer Engineering, Durham, NC 27701, USA.
Marc A DeshussesDepartment of Civil and Environmental Engineering, Box 90287, Duke University, Durham, NC 27708, USA.ORCID 0000-0003-0639-7865
Duke University · US

Funding

Bill and Melinda Gates Foundation OPP1173370
6 · The paper itself

Abstract

Technology innovation in sanitation is needed for the 4.2 billion people worldwide, lacking safely managed sanitation services. A major requirement for the adoption of these technologies is the management of malodor around toilet and treatment systems. There is an unmet need for a low-cost instrumented technology for detecting the onset of sanitation malodor and triggering corrective actions. This study combines sensory data with low-cost gas sensor data on malodor emanating from feces. The response of 10 commercial electrochemical gas sensors was collected alongside olfactometric measurements. Odor from fecal specimens at different relevant dilution as well as specimens with pleasant odors as a control were evaluated for a total of 64 responses. Several of the sensors responded positively to the fecal odor, with the formaldehyde, hydrogen sulfide, and ammonia sensors featuring the highest signal to noise ratio. A positive trend was observed between the sensors' responses and the concentration of the odorant and with odor intensity, but no clear correspondence with dilution to threshold (D/T) values was found. Selected sensors were responsive both above and below the intensity values used as the cutoff for offensive odor, suggesting the possibility of using those sensors to differentiate odor offensiveness based just on the magnitude of their response. The specificity of the sensors suggested that discrimination between the selected non-fecal and fecal odors was possible. This study demonstrates that some of the evaluated sensors could be used to assemble a low-cost malodor warning system.

Indexed as

AmmoniaElectrochemical TechniquesFecesHumansHydrogen SulfideOdorantsSanitationAmmoniaHydrogen Sulfideelectronic noselow-cost sensorsmalodorodor

Identifiers

PMID32443709
PMCPMC7287618
OpenAlexW3027453335

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.