The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Raman spectroscopy for medical diagnostics — From in-vitro biofluid assays to in-vivo cancer detection
Open accessAbstract
Raman spectroscopy is an optical technique based on inelastic scattering of light by vibrating molecules and can provide chemical fingerprints of cells, tissues or biofluids. The high chemical specificity, minimal or lack of sample preparation and the ability to use advanced optical technologies in the visible or near-infrared spectral range (lasers, microscopes, fibre-optics) have recently led to an increase in medical diagnostic applications of Raman spectroscopy. The key hypothesis underpinning this field is that molecular changes in cells, tissues or biofluids, that are either the cause or the effect of diseases, can be detected and quantified by Raman spectroscopy. Furthermore, multivariate calibration and classification models based on Raman spectra can be developed on large "training" datasets and used subsequently on samples from new patients to obtain quantitative and objective diagnosis. Historically, spontaneous Raman spectroscopy has been known as a low signal technique requiring relatively long acquisition times. Nevertheless, new strategies have been developed recently to overcome these issues: non-linear optical effects and metallic nanoparticles can be used to enhance the Raman signals, optimised fibre-optic Raman probes can be used for real-time in-vivo single-point measurements, while multimodal integration with other optical techniques can guide the Raman measurements to increase the acquisition speed and spatial accuracy of diagnosis. These recent efforts have advanced Raman spectroscopy to the point where the diagnostic accuracy and speed are compatible with clinical use. This paper reviews the main Raman spectroscopy techniques used in medical diagnostics and provides an overview of various applications.
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Cites
Raman spectra of pyridine adsorbed at a silver electrode
Fleischmann, M., Hendra, P. J., & McQuillan, A. J. (1974) · Chemical Physics Letters · doi:10.1016/0009-2614(74)85388-1 · Cited by 7,172
Surface raman spectroelectrochemistry
Jeanmaire, D. L., & Van Duyne, R. P. (1977) · Journal of Electroanalytical Chemistry and Interfacial Electrochemistry · doi:10.1016/s0022-0728(77)80224-6 · Cited by 4,738
Chemical imaging of tissue in vivo with video-rate coherent anti-Stokes Raman scattering microscopy
Evans, C. L., Potma, E. O., Puoris'haag, M., Côté, D., Lin, C. P., & Xie, X. S. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0508282102 · Cited by 957
Toward a Glucose Biosensor Based on Surface-Enhanced Raman Scattering
Shafer-Peltier, K. E., Haynes, C. L., Glucksberg, M. R., & Van Duyne, R. P. (2003) · Journal of the American Chemical Society · doi:10.1021/ja028255v · Cited by 653
Surface enhanced spatially offset Raman spectroscopic (SESORS) imaging – the next dimension
Stone, N., Kerssens, M., Lloyd, G. R., Faulds, K., Graham, D., & Matousek, P. (2011) · Chemical Science · doi:10.1039/c0sc00570c · Cited by 183
Self-citationStone, N., Faulds, K., Graham, D., & Matousek, P. (2010) · Analytical Chemistry · doi:10.1021/ac100039c · Cited by 140
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Cited by
Guo, S., Popp, J., & Bocklitz, T. (2021) · Nature Protocols · doi:10.1038/s41596-021-00620-3 · Cited by 361
Hyperspectral unmixing for Raman spectroscopy via physics-constrained autoencoders
Georgiev, D., Fernández-Galiana, Á., Vilms Pedersen, S., Papadopoulos, G., Xie, R., Stevens, M. M., & Barahona, M. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2407439121 · Cited by 50
“…RS has become an important analytical tool in a myriad of scientific domains, from chemistry [11, 12], biology [13, 14, 15, 16], and medicine [17, 18, 19, 20, 21, 22, 23], to materials science [24, 25], pharmacology [26, 27, 28], environmental science [29, 30, 31], food quality control [32,…”
BackgroundSurface enhanced deep Raman detection of cancer tumour through 71 mm of heterogeneous tissue
Dey, P., Vaideanu, A., Mosca, S., Salimi, M., Gardner, B., Palombo, F., Uchegbu, I., Baumberg, J., Schatzlein, A., Matousek, P., et al. (2022) · Nanotheranostics · doi:10.7150/ntno.71510 · Cited by 34
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Metadata
- Authors
- Kong, K., Kendall, C., Stone, N., & Notingher, I.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 89
- Pages
- 121-134
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W1968871412
- Cited by
- 653
- References
- 6
- FWCI
- 5.34
- Type
- journal article
- Language
- en
- Open access
- hybrid
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