Evidence map›Paper›PMID 35479925›Full record

ArticleRSC advances2021

ZEUS (ZIF-based electrochemical ultrasensitive screening) device for isopentane analytics with focus on lung cancer diagnosis.

Ivneet Banga, Anirban Paul, Abha Umesh Sardesai, Sriram Muthukumar, Shalini Prasad

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 23 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

5 authors at 2 institutions in 1 country.

Ivneet BangaDepartment of Bioengineering, University of Texas at Dallas Richardson Texas 75080 USA ivneetkaur.banga@utdallas.edu anirban.paul@utdallas.edu abha.Sardesai@UTDallas.edu shalini.prasad@utdallas.edu.
Anirban PaulDepartment of Bioengineering, University of Texas at Dallas Richardson Texas 75080 USA ivneetkaur.banga@utdallas.edu anirban.paul@utdallas.edu abha.Sardesai@UTDallas.edu shalini.prasad@utdallas.edu.
Abha Umesh SardesaiDepartment of Bioengineering, University of Texas at Dallas Richardson Texas 75080 USA ivneetkaur.banga@utdallas.edu anirban.paul@utdallas.edu abha.Sardesai@UTDallas.edu shalini.prasad@utdallas.edu.
Sriram MuthukumarDepartment of Bioengineering, University of Texas at Dallas Richardson Texas 75080 USA ivneetkaur.banga@utdallas.edu anirban.paul@utdallas.edu abha.Sardesai@UTDallas.edu shalini.prasad@utdallas.edu.ORCID https://orcid.org/0000-0002-8761-7278
Shalini PrasadDepartment of Bioengineering, University of Texas at Dallas Richardson Texas 75080 USA ivneetkaur.banga@utdallas.edu anirban.paul@utdallas.edu abha.Sardesai@UTDallas.edu shalini.prasad@utdallas.edu.ORCID https://orcid.org/0000-0002-2404-3801
The University of Texas at Dallas · USNational Audubon Society · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breath analytics is currently being explored for the development of point-of-care devices in non-invasive disease detection. It is based on the measurement of volatile organic compounds (VOCs) and gases that are produced by the body because of the metabolic pathways. The levels of these metabolites vary due to alteration in the endogenous oxidative stress-related metabolic pathways and can be correlated to understand the underlying disease condition. The levels of exhaled hydrocarbons in human breath can be used to design a rapid, easy to use method for lung cancer detection. This work outlines the development of an electrochemical sensing platform that can be used for the non-invasive diagnosis of lung cancer by monitoring isopentane levels in breath. This electrochemical sensor platform involves the use of [BMIM]BF

Identifiers

PMID35479925
PMCPMC9033977
OpenAlexW3168994404

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.