Literature DB >> 21125106

Non-invasive analysis of turbid samples using deep Raman spectroscopy.

Kevin Buckley1, Pavel Matousek.   

Abstract

Raman spectroscopy has recently seen major advances in the area of deep non-invasive characterisation of diffusely scattering samples; this progress is underpinned by the emergence of spatially offset Raman spectroscopy and associated renaissance of transmission Raman spectroscopy permitting the characterisation of diffusely scattering samples at depths not accessible by conventional Raman spectroscopy. Examples of emerging research activities include non-invasive diagnosis of bone disease and cancer, rapid quality control of pharmaceutical formulations and security screening of explosives and counterfeit drugs through unopened translucent bottles. This article reviews this field focusing on recent developments with high societal relevance.

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Year:  2010        PMID: 21125106     DOI: 10.1039/c0an00723d

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  4 in total

1.  Comparative Study of Sample Carriers for the Identification of Volatile Compounds in Biological Fluids Using Raman Spectroscopy.

Authors:  Panagiota Papaspyridakou; Michail Lykouras; Christos Kontoyannis; Malvina Orkoula
Journal:  Molecules       Date:  2022-05-20       Impact factor: 4.927

2.  Overconstrained library-based fitting method reveals age- and disease-related differences in transcutaneous Raman spectra of murine bones.

Authors:  Jason R Maher; Jason A Inzana; Hani A Awad; Andrew J Berger
Journal:  J Biomed Opt       Date:  2013-07       Impact factor: 3.170

3.  Evidence from Raman spectroscopy of a putative link between inherent bone matrix chemistry and degenerative joint disease.

Authors:  Jemma G Kerns; Panagiotis D Gikas; Kevin Buckley; Adam Shepperd; Helen L Birch; Ian McCarthy; Jonathan Miles; Timothy W R Briggs; Richard Keen; Anthony W Parker; Pavel Matousek; Allen E Goodship
Journal:  Arthritis Rheumatol       Date:  2014-05       Impact factor: 10.995

4.  Analytical Capability of Defocused µ-SORS in the Chemical Interrogation of Thin Turbid Painted Layers.

Authors:  Claudia Conti; Marco Realini; Alessandra Botteon; Chiara Colombo; Sarah Noll; Stephen R Elliott; Pavel Matousek
Journal:  Appl Spectrosc       Date:  2016-01       Impact factor: 2.388

  4 in total

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