Evidence map›Paper›PMID 20459285›Full record

ArticleJournal of biomedical optics

Three-dimensional, multiwavelength Monte Carlo simulations of dermally implantable luminescent sensors.

Ruiqi Long, Mike McShane

Abstract read
In one paragraph

Article in Journal of biomedical optics. 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
–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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Ruiqi LongTexas A&M University, Biomedical Engineering, College Station, Texas 77843-3120, USA.
Mike McShane

Funding

Fluorescent Glucose Sensors from Polyion MicroshellsR01EB000739 · NIBIB · TEXAS ENGINEERING EXPERIMENT STATION · PI MCSHANE, MIKE · 2002 to 2006
$1.3M
NIBIB NIH HHS R01 EB000739
6 · The paper itself

Abstract

Dermally implanted luminescent sensors have been proposed for monitoring of tissue biochemistry, which has the potential to improve treatments for conditions such as diabetes and kidney failure. Effective in vivo monitoring via noninvasive transdermal measurement of emission from injected microparticles requires a matched optoelectronic system for excitation and collection of luminescence. We applied Monte Carlo modeling to predict the characteristics of output luminescence from microparticles in skin to facilitate hardware design. Three-dimensional, multiwavelength Monte Carlo simulations were used to determine the spatial and spectral distribution of the escaping luminescence for different implantation depths, excitation light source properties, particle characteristics, and particle packing density. Results indicate that the ratio of output emission to input excitation power ranged 10(-3) to 10(-6) for sensors at the upper and lower dermal boundaries, respectively, and 95% of the escaping emission photons induced by a 10-mm-diam excitation beam were confined within an 18-mm circle. Tightly packed sensor configurations yielded higher output intensity with fewer particles, even after luminophore concentration effects were removed. Most importantly, for the visible wavelengths studied, the ability to measure spectral changes in emission due to glucose changes was not significantly affected by absorption and scattering of tissue, which supports the potential to accurately track changes in luminescence of sensor implants that respond to the biochemistry of the skin.

Indexed as

Biosensing TechniquesModels, BiologicalProstheses and ImplantsSkin Physiological PhenomenaTransducersAnimalsComputer-Aided DesignComputer SimulationEquipment DesignEquipment Failure AnalysisHumansModels, StatisticalMonitoring, AmbulatoryMonte Carlo MethodReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID20459285
PMCPMC2874051

What OpenQuestion holds

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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.