Evidence map›Paper›PMID 39255261›Full record

ArticlePloS one2024

Two-dimensional Graphene/MoS2 vertical heterostructure for detection of hemoglobin concentration in blood samples.

Manoj Kumar, Purnendu Shekhar Pandey, Vivek Kumar Srivastava, M Sudhakara Reddy, Anita Gehlot, Yadvendra Singh, Gyanendra Kumar Singh, Balkeshwar Singh

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

8 authors.

Manoj KumarMLR Institute of Technology, Hyderabad, India.
Purnendu Shekhar PandeyDepartment of Electronics and Communication Engineering, GL Bajaj Institute of Technology and Management, Greater Noida, U.P., India.
Vivek Kumar SrivastavaElectrical Engineering Department, GLA University, Mathura, India.
M Sudhakara ReddyDepartment of Physics & Electronics, JAIN (Deemed to be University), Bangalore, Karnataka, India.
Anita GehlotUttaranchal Institute of Technology, Uttaranchal University, Dehradun, India.
Yadvendra SinghUttaranchal Institute of Technology, Uttaranchal University, Dehradun, India.
Gyanendra Kumar SinghLaxmi Chand Institute of Technology, Bilaspur, India.ORCID 0000-0003-3765-9071
Balkeshwar SinghDepartment of Mechanical Engineering, Program of Manufacturing Engineering, Adama Science and Technology University, Adama, Ethiopia.ORCID 0000-0003-3376-6857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study demonstrates the use of computational methods to simulate the molecular dynamics involved in hemoglobin concentration sensing, utilizing Material Studio and the TCAD Silvaco device simulator. A non-invasive and flexible Graphene/MoS2 heterostructure has been proposed for sensing hemoglobin concentration in blood samples. The findings reveal a notable shift in the wavelength-dependent refractive index and extinction coefficient, as well as significant changes in the absorption coefficient and reflectivity of the Graphene/MoS2 heterostructure in response to different hemoglobin concentrations, specifically within an approximate range of 0.3 μm to 1 μm. Moreover, the spectral response of the heterostructure demonstrates that at a particular wavelength of approximately 600 nm, a maximum response is obtained. This wavelength can be considered optimal for detecting various levels of hemoglobin using this heterostructure. The anticipated outcome is a comprehensive understanding of the fundamental principles, ultimately resulting in the development of an exceptionally sensitive platform for detecting hemoglobin concentration.

Indexed as

DisulfidesGraphiteHemoglobinsMolybdenumBiosensing TechniquesHumansMolecular Dynamics SimulationDisulfidesGraphiteHemoglobinsMolybdenummolybdenum disulfide

Identifiers

PMID39255261
PMCPMC11386459

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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.