Through tissue imaging of a live breast cancer tumour model using handheld surface enhanced spatially offset resonance Raman spectroscopy (SESORRS)

Fay Nicolson, Lauren E. Jamieson, Samuel Mabbott, Konstantinos Plakas, Neil C. Shand, Michael R. Detty, Duncan Graham, Karen Faulds

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

In order to improve patient survival and reduce the amount of unnecessary and traumatic biopsies, non-invasive detection of cancerous tumours is of imperative and urgent need. Multicellular tumour spheroids (MTS) can be used as an ex vivo cancer tumour model, to model in vivo nanoparticle (NP) uptake by the enhanced permeability and retention (EPR) effect. Surface enhanced spatially offset Raman spectroscopy (SESORS) combines both surface enhanced Raman spectroscopy (SERS) and spatially offset Raman spectroscopy (SORS) to yield enhanced Raman signals at much greater sub-surface levels. By utilizing a reporter that has an electronic transition in resonance with the laser frequency, surface enhanced resonance Raman scattering (SERRS) yields even greater enhancement in Raman signal. Using a handheld SORS spectrometer with back scattering optics, we demonstrate the detection of live breast cancer 3D MTS containing SERRS active NPs through 15 mm of porcine tissue. False color 2D heat intensity maps were used to determine tumour model location. In addition, we demonstrate the tracking of SERRS-active NPs through porcine tissue to depths of up to 25 mm. This unprecedented performance is due to the use of red-shifted chalcogenpyrylium-based Raman reporters to demonstrate the novel technique of surface enhanced spatially offset resonance Raman spectroscopy (SESORRS) for the first time. Our results demonstrate a significant step forward in the ability to detect vibrational fingerprints from a tumour model at depth through tissue. Such an approach offers significant promise for the translation of NPs into clinical applications for non-invasive disease diagnostics based on this new chemical principle of measurement.

LanguageEnglish
Pages3788-3792
Number of pages5
JournalChemical Science
Volume9
Issue number15
Early online date26 Mar 2018
DOIs
Publication statusPublished - 21 Apr 2018

Fingerprint

Raman spectroscopy
Tumors
Tissue
Imaging techniques
Raman scattering
Biopsy
Spectrometers
Optics
Scattering
Nanoparticles
Color
Lasers

Keywords

  • cancerous tumours
  • multicellular tumour spheroids
  • Raman spectroscopy
  • SESORS
  • SERS

Cite this

Nicolson, Fay ; Jamieson, Lauren E. ; Mabbott, Samuel ; Plakas, Konstantinos ; Shand, Neil C. ; Detty, Michael R. ; Graham, Duncan ; Faulds, Karen. / Through tissue imaging of a live breast cancer tumour model using handheld surface enhanced spatially offset resonance Raman spectroscopy (SESORRS). In: Chemical Science. 2018 ; Vol. 9, No. 15. pp. 3788-3792.
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Through tissue imaging of a live breast cancer tumour model using handheld surface enhanced spatially offset resonance Raman spectroscopy (SESORRS). / Nicolson, Fay; Jamieson, Lauren E.; Mabbott, Samuel; Plakas, Konstantinos; Shand, Neil C.; Detty, Michael R.; Graham, Duncan; Faulds, Karen.

In: Chemical Science, Vol. 9, No. 15, 21.04.2018, p. 3788-3792.

Research output: Contribution to journalArticle

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AU - Nicolson, Fay

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