Literature DB >> 20459285

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

Ruiqi Long1, Mike McShane.   

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.

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Year:  2010        PMID: 20459285      PMCID: PMC2874051          DOI: 10.1117/1.3374180

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  27 in total

1.  Monte Carlo modeling for implantable fluorescent analyte sensors.

Authors:  M J McShane; S Rastegar; M Pishko; G L Coté
Journal:  IEEE Trans Biomed Eng       Date:  2000-05       Impact factor: 4.538

2.  Potential for glucose monitoring with nanoengineered fluorescent biosensors.

Authors:  Michael J McShane
Journal:  Diabetes Technol Ther       Date:  2002       Impact factor: 6.118

3.  Fluorescence resonance energy transfer-based near-infrared fluorescence sensor for glucose monitoring.

Authors:  Ralph Ballerstadt; Ashok Gowda; Roger McNichols
Journal:  Diabetes Technol Ther       Date:  2004-04       Impact factor: 6.118

4.  Glucose-sensitive nanoassemblies comprising affinity-binding complexes trapped in fuzzy microshells.

Authors:  Swetha Chinnayelka; Michael J McShane
Journal:  J Fluoresc       Date:  2004-09       Impact factor: 2.217

5.  A fluorescence-based glucose biosensor using concanavalin A and dextran encapsulated in a poly(ethylene glycol) hydrogel.

Authors:  R J Russell; M V Pishko; C C Gefrides; M J McShane; G L Coté
Journal:  Anal Chem       Date:  1999-08-01       Impact factor: 6.986

6.  Morphological model of human colon tissue fluorescence.

Authors:  G I Zonios; R M Cothren; J T Arendt; J Wu; J Van Dam; J M Crawford; R Manoharan; M S Feld
Journal:  IEEE Trans Biomed Eng       Date:  1996-02       Impact factor: 4.538

7.  Modelling light distributions of homogeneous versus discrete absorbers in light irradiated turbid media.

Authors:  W Verkruysse; G W Lucassen; J F de Boer; D J Smithies; J S Nelson; M J van Gemert
Journal:  Phys Med Biol       Date:  1997-01       Impact factor: 3.609

8.  Skin optics.

Authors:  M J van Gemert; S L Jacques; H J Sterenborg; W M Star
Journal:  IEEE Trans Biomed Eng       Date:  1989-12       Impact factor: 4.538

Review 9.  Noninvasive and minimally-invasive optical monitoring technologies.

Authors:  G L Coté
Journal:  J Nutr       Date:  2001-05       Impact factor: 4.798

10.  Enhancing the longevity of microparticle-based glucose sensors towards 1 month continuous operation.

Authors:  Saurabh Singh; Mike McShane
Journal:  Biosens Bioelectron       Date:  2009-10-12       Impact factor: 10.618

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