Literature DB >> 10851806

Monte Carlo modeling for implantable fluorescent analyte sensors.

M J McShane1, S Rastegar, M Pishko, G L Coté.   

Abstract

A Monte Carlo simulation of photon propagation through human skin and interaction with a subcutaneous fluorescent sensing layer is presented. The algorithm will facilitate design of an optical probe for an implantable fluorescent sensor, which holds potential for monitoring many parameters of biomedical interest. Results are analyzed with respect to output light intensity as a function of radial distance from source, angle of exit for escaping photons, and sensor fluorescence (SF) relative to tissue autofluorescence (AF). A sensitivity study was performed to elucidate the effects on the output due to changes in optical properties, thickness of tissue layers, thickness of the sensor layer, and both tissue and sensor quantum yields. The optical properties as well as the thickness of the stratum corneum, epidermis, (tissue layers through which photons must pass to reach the sensor) and the papillary dermis (tissue distal to sensor) are highly influential. The spatial emission profile of the SF is broad compared that of the tissue fluorescence and the ratio of sensor to tissue fluorescence increases with distance from the source. The angular distribution of escaping photons is more concentrated around the normal for SF than for tissue AF. The information gained from these simulations will be helpful in designing appropriate optics for collection of the signal of interest.

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Year:  2000        PMID: 10851806     DOI: 10.1109/10.841334

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  10 in total

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

Authors:  Ruiqi Long; Mike McShane
Journal:  J Biomed Opt       Date:  2010 Mar-Apr       Impact factor: 3.170

2.  Enzymatic fluorescent microsphere glucose sensors:evaluation of response under dynamic conditions.

Authors:  J Quincy Brown; Rohit Srivastava; Huiguang Zhu; Michael J McShane
Journal:  Diabetes Technol Ther       Date:  2006-06       Impact factor: 6.118

3.  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

4.  "Smart tattoo" glucose biosensors and effect of coencapsulated anti-inflammatory agents.

Authors:  Rohit Srivastava; Rahul Dev Jayant; Ayesha Chaudhary; Michael J McShane
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

5.  Glucose sensors based on microcapsules containing an orange/red competitive binding resonance energy transfer assay.

Authors:  Swetha Chinnayelka; Michael J McShane
Journal:  Diabetes Technol Ther       Date:  2006-06       Impact factor: 6.118

6.  Glucose response of near-infrared alginate-based microsphere sensors under dynamic reversible conditions.

Authors:  Ayesha Chaudhary; Harri Harma; Pekka Hanninen; Michael J McShane; Rohit Srivastava
Journal:  Diabetes Technol Ther       Date:  2011-05-13       Impact factor: 6.118

7.  Sensitivity analysis of near-infrared functional lymphatic imaging.

Authors:  Michael Weiler; Timothy Kassis; J Brandon Dixon
Journal:  J Biomed Opt       Date:  2012-06       Impact factor: 3.170

8.  Microscale enzymatic optical biosensors using mass transport limiting nanofilms. 1. Fabrication and characterization using glucose as a model analyte.

Authors:  Erich W Stein; Patrick S Grant; Huiguang Zhu; Michael J McShane
Journal:  Anal Chem       Date:  2007-02-15       Impact factor: 6.986

9.  Dissolved core alginate microspheres as "smart-tattoo" glucose sensors.

Authors:  Ayesha Chaudhary; Monica Raina; Michael J McShane; Rohit Srivastava
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

10.  Resonance energy transfer nanobiosensors based on affinity binding between apo-enzyme and its substrate.

Authors:  Swetha Chinnayelka; Michael J McShane
Journal:  Biomacromolecules       Date:  2004 Sep-Oct       Impact factor: 6.988

  10 in total

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