Journal article
Surface enhanced deep Raman detection of cancer tumour through 71 mm of heterogeneous tissue
- Abstract:
- Detection of solid tumours through tissue- from depths relevant to humans- has been a significant challenge for biomedical Raman spectroscopy. The combined use of surface enhanced Raman scattering (SERS) imaging agents with deep Raman spectroscopy (DRS), i.e., surface enhanced deep Raman spectroscopy (SEDRS), offer prospects for overcoming such obstacles. In this study, we investigated the maximum detection depth through which the retrieval of SERS signal of a passively targeted biphenyl-4-thiol tagged gold nanoparticle (NP) imaging agent, injected subcutaneously into a mouse bearing breast cancer tumour, was possible. A compact 830 nm set-up with a hand-held probe and the flexibility of switching between offset, transmission and conventional Raman modalities was developed for this study. In vivo injection of the above SERS NP primary dose allowed surface tumour detection, whereas additional post mortem NP booster dose was required for detection of deeply seated tumours through heterogeneous animal tissue (comprising of proteins, fat, bone, organs, blood, and skin). The highest detection depth of 71 mm was probed using transmission, translating into a ~40% increase in detection depth compared to earlier reports. Such improvements in detection depth along with the inherent Raman chemical sensitivity brings SEDRS one step closer to future clinical cancer imaging technology.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, 1.7MB, Terms of use)
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- Publisher copy:
- 10.7150/ntno.71510
Authors
- Publisher:
- Ivysprings
- Journal:
- Nanotheranostics More from this journal
- Volume:
- 6
- Issue:
- 3
- Pages:
- 337-349
- Publication date:
- 2022-01-01
- Acceptance date:
- 2022-02-22
- DOI:
- EISSN:
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2206-7418
- Language:
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English
- Keywords:
- Pubs id:
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1264476
- Local pid:
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pubs:1264476
- Deposit date:
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2022-06-22
Terms of use
- Copyright holder:
- Dey et al.
- Copyright date:
- 2022
- Rights statement:
- ©2022 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/).
- Licence:
- CC Attribution (CC BY)
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