Evidence map›Paper›PMID 34253775›Full record

ArticleScientific reports2021

In-silico investigation towards the non-invasive optical detection of blood lactate.

Subhasri Chatterjee, Karthik Budidha, Meha Qassem, Panicos A Kyriacou

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2021. 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 39% 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, 4 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.

Subhasri Chatterjee *Research Centre for Biomedical Engineering, City, University of London, London, EC1V0HB, UK. subhasri.chatterjee.1@city.ac.uk.
Karthik Budidha *Research Centre for Biomedical Engineering, City, University of London, London, EC1V0HB, UK.
Meha QassemResearch Centre for Biomedical Engineering, City, University of London, London, EC1V0HB, UK.
Panicos A KyriacouResearch Centre for Biomedical Engineering, City, University of London, London, EC1V0HB, UK.
City, University of London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper uses Monte Carlo simulations to investigate the interaction of short-wave infrared (SWIR) light with vascular tissue as a step toward the development of a non-invasive optical sensor for measuring blood lactate in humans. The primary focus of this work was to determine the optimal source-detector separation, penetration depth of light at SWIR wavelengths in tissue, and the optimal light power required for reliable detection of lactate. The investigation also focused on determining the non-linear variations in absorbance of lactate at a few select SWIR wavelengths. SWIR photons only penetrated 1.3 mm and did not travel beyond the hypodermal fat layer. The maximum output power was only 2.51% of the input power, demonstrating the need for a highly sensitive detection system. Simulations optimized a source-detector separation of 1 mm at 1684 nm for accurate measurement of lactate in blood.

Indexed as

Adipose TissueAdultComputer SimulationFemaleHumansInfrared RaysLactic AcidMachine LearningMaleMonte Carlo MethodNonlinear DynamicsNormal DistributionOptics and PhotonicsProtein EngineeringSpectroscopy, Near-InfraredYoung AdultLactic Acid

Identifiers

PMID34253775
PMCPMC8275594
OpenAlexW3160974917

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.