Evidence map›Paper›PMID 40673717›Full record

ArticleEnvironmental science & technology2025

Tagging Emissions from Indoor Biomass Combustion with a Cost-Effective Sensor Array: From Design to Field Deployment in Rural Indian Households.

Nguyen Thanh Duc, Daniel Montecinos, Jay Prakash Kumar, Sayantan Sarkar, Roshan Wathore, Johannes Felix Amann, Julian Joppich, Sumedha Lawande, Rajesh Kumar Ranjan, Joyanto Routh

Abstract read
In one paragraph

Article in Environmental science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Nguyen Thanh DucDepartment of Thematic Studies-Environmental Change, Linköping University, Linköping 58183, Sweden.ORCID 0000-0001-6916-743X
Daniel MontecinosDepartment of Thematic Studies-Environmental Change, Linköping University, Linköping 58183, Sweden.
Jay Prakash KumarDepartment of Environmental Science, Central University of South Bihar, Gaya 824236, India.
Sayantan SarkarSchool of Civil and Environmental Engineering, Indian Institute of Technology, Mandi 175005, India.ORCID 0000-0003-1549-4042
Roshan WathoreAcademy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
Johannes Felix AmannLab for Measurement Technology, Saarland University, Campus A5 1, 66123 Saarbrücken, Germany.ORCID 0000-0001-7677-561X
Julian JoppichLab for Measurement Technology, Saarland University, Campus A5 1, 66123 Saarbrücken, Germany.
Sumedha LawandeSchool of Civil and Environmental Engineering, Indian Institute of Technology, Mandi 175005, India.
Rajesh Kumar RanjanDepartment of Environmental Science, Central University of South Bihar, Gaya 824236, India.
Joyanto RouthDepartment of Thematic Studies-Environmental Change, Linköping University, Linköping 58183, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we introduce an innovative method for monitoring emissions from indoor biomass combustion, a prevalent practice in rural households in the Indo-Gangetic Plains. Our approach utilizes a portable and cost-efficient sensor array with advanced data handling, employing commercially available sensors to measure CO

Indexed as

Air Pollution, IndoorBiomassEnvironmental MonitoringAir PollutantsCarbon DioxideCookingIndiaRural PopulationAir PollutantsCarbon Dioxidebiomass combustionBME688CO2 emissionscost-effectivesensor arrayVOC fingerprint

Identifiers

PMID40673717
PMCPMC12329721

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.