Evidence map›Paper›PMID 41716541›Full record

ArticleNanoscale advances2026

Predictive mixed-gas detection using rGO/In

Tanya Sood, Saikat Chattopadhyay, P Poornesh

Abstract read
In one paragraph

Article in Nanoscale advances, 2026. 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

3 authors.

Tanya SoodManipal Institute of Technology, Manipal Academy of Higher Education Manipal India poornesh.p@manipal.edu poorneshp@gmail.com.ORCID https://orcid.org/0009-0003-0125-7940
Saikat ChattopadhyayDepartment of Physics, School of Basic Sciences, Manipal University Jaipur Jaipur 303007 India.ORCID https://orcid.org/0000-0002-8029-8040
P PoorneshManipal Institute of Technology, Manipal Academy of Higher Education Manipal India poornesh.p@manipal.edu poorneshp@gmail.com.ORCID https://orcid.org/0000-0002-3608-6294

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selectivity towards specific analytes and detection at sub-ppm levels remain significant challenges for chemiresistive gas sensors. Hybrid materials, like reduced graphene oxide (rGO) combined with metal oxides, possess higher sensitivity at ultralow concentrations. In this work, rGO/In

Identifiers

PMID41716541
PMCPMC12915307

What OpenQuestion holds

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Registered trials

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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.