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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

The Department also includes the iSchool Research Group, which performs leading research into socio-technical phenomena and topics such as information retrieval and information seeking behaviour.

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Detection of inflammation in vivo by surface-enhanced Raman scattering provides higher sensitivity than conventional fluorescence imaging

McQueenie, Ross and Stevenson, Ross and Benson, Robert and MacRitchie, Neil and McInnes, Iain and Maffia, Pasquale and Faulds, Karen and Graham, Duncan and Brewer, James and Garside, Paul (2012) Detection of inflammation in vivo by surface-enhanced Raman scattering provides higher sensitivity than conventional fluorescence imaging. Analytical Chemistry, 84 (14). pp. 5968-5975. ISSN 0003-2700

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Abstract

The detection of inflammatory changes is a key aim for the early diagnosis and treatment of several autoimmune, infectious, and metastatic diseases. While surface-enhanced Raman scattering (SERS) has the capability to provide noninvasive, in vivo imaging at sufficient depth to achieve this goal, this approach has not been exploited in the study of inflammation. SERS-active nanoparticles were coded with a unique Raman signal that was protected under a wide range of conditions and stimuli. To detect early-stage inflammation, gold nanoparticle clusters containing Raman-active molecules were conjugated to intercellular adhesion molecule 1- (ICAM-1-) specific monoclonal antibodies. SERS allowed noninvasive measurement of ICAM-1 expression in vivo with twice the sensitivity of two photon fluorescence. This is the first time SERS has been used for in vivo detection of inflammation and is a major advance in the ever-growing toolkit of approaches for use in noninvasive, next generation in vivo imaging.