Evidence map›Paper›PMID 38392000›Full record

ArticleBiosensors2024

Surface-Enhanced Spatially Offset Raman Spectroscopy in Tissue.

Dayle Kotturi, Sureyya Paterson, Mike McShane

Abstract read
In one paragraph

Article in Biosensors, 2024. 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.

Dayle KotturiDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Sureyya PatersonDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.
Mike McShaneDepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0001-6838-3982

Funding

Enabling Continuous in vivo Metabolic Monitoring with Microencapsulated SERS AssaysR21EB028973 · NIBIB · TEXAS ENGINEERING EXPERIMENT STATION · PI MCSHANE, MIKE · 2020 to 2021
$398k
NIBIB NIH HHS R21 EB028973NIH HHS R21EB028973
6 · The paper itself

Abstract

One aim of personalized medicine is to use continuous or on-demand monitoring of metabolites to adjust prescription dosages in real time. Surface-enhanced spatially offset Raman spectroscopy (SESORS) is an optical technique capable of detecting surface-enhanced Raman spectroscopy (SERS)-active targets under a barrier, which may enable frequent metabolite monitoring. Here we investigate how the intensity of the signal from SERS-active material varies spatially through tissue, both experimentally and in a computational model. Implant-sized, SERS-active hydrogel was placed under different thicknesses of contiguous tissue. Emission spectra were collected at the air-tissue boundary over a range of offsets from the excitation site. New features were added to the Monte Carlo light-tissue interaction model to modify the optical properties after inelastic scattering and to calculate the distribution of photons as they exit the model. The Raman signals were detectable through all barrier thicknesses, with strongest emission for the case of 0 mm offset between the excitation and detector. A steep decline in the signal intensities occurred for offsets greater than 2 mm. These results did not match published SORS work (where targets were much larger than an implant). However, the model and experimental results agree in showing the greatest intensities at 0 mm offset and a steep gradient in the intensities with increasing offset. Also, the model showed an increase in the number of photons when the new, longer wavelengths were used following the Stokes shift for scattering and the graphical display of the exiting photons was helpful in the determination and confirmation of the optimal offset.

Indexed as

PhotonsSpectrum Analysis, RamanHydrogelsNerve Tissue ProteinsHydrogelsNerve Tissue Proteinsbiocompatiblehydrogelimplantablelight-tissue interactionMonte Carlo modelingSESORSsurface-enhanced spatially offset Raman spectroscopytissue optics

Identifiers

PMID38392000
PMCPMC10886963

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.