Surface-Enhanced Spatially Offset Raman Spectroscopy in Tissue

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 targe...

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Main Authors: Dayle Kotturi, Sureyya Paterson, Mike McShane
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Biosensors
Subjects:
Online Access:https://www.mdpi.com/2079-6374/14/2/81
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author Dayle Kotturi
Sureyya Paterson
Mike McShane
author_facet Dayle Kotturi
Sureyya Paterson
Mike McShane
author_sort Dayle Kotturi
collection DOAJ
description 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.
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spelling doaj.art-e418779bf0f8448ea8367dd2bb0991462024-02-23T15:09:31ZengMDPI AGBiosensors2079-63742024-02-011428110.3390/bios14020081Surface-Enhanced Spatially Offset Raman Spectroscopy in TissueDayle Kotturi0Sureyya Paterson1Mike McShane2Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USADepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USADepartment of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USAOne 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.https://www.mdpi.com/2079-6374/14/2/81surface-enhanced spatially offset Raman spectroscopySESORSimplantablebiocompatiblehydrogelMonte Carlo modeling
spellingShingle Dayle Kotturi
Sureyya Paterson
Mike McShane
Surface-Enhanced Spatially Offset Raman Spectroscopy in Tissue
Biosensors
surface-enhanced spatially offset Raman spectroscopy
SESORS
implantable
biocompatible
hydrogel
Monte Carlo modeling
title Surface-Enhanced Spatially Offset Raman Spectroscopy in Tissue
title_full Surface-Enhanced Spatially Offset Raman Spectroscopy in Tissue
title_fullStr Surface-Enhanced Spatially Offset Raman Spectroscopy in Tissue
title_full_unstemmed Surface-Enhanced Spatially Offset Raman Spectroscopy in Tissue
title_short Surface-Enhanced Spatially Offset Raman Spectroscopy in Tissue
title_sort surface enhanced spatially offset raman spectroscopy in tissue
topic surface-enhanced spatially offset Raman spectroscopy
SESORS
implantable
biocompatible
hydrogel
Monte Carlo modeling
url https://www.mdpi.com/2079-6374/14/2/81
work_keys_str_mv AT daylekotturi surfaceenhancedspatiallyoffsetramanspectroscopyintissue
AT sureyyapaterson surfaceenhancedspatiallyoffsetramanspectroscopyintissue
AT mikemcshane surfaceenhancedspatiallyoffsetramanspectroscopyintissue