Paul Stoddart

Prof. Paul Stoddart

orcid

Research Focus & Metrics

Academic Career Length

37Years (1990-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 November 2008 in Current Microbiology
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NMNatasa Mitik-Dineva
Natasa Mitik-Dineva
JWJames Wang
James Wang
Truong Vi KhanhTruong Vi Khanh
Truong Vi Khanh
PSPaul Stoddart
Paul Stoddart
FMFrancois Malherbe
Francois Malherbe
EIElena Ivanova
Elena Ivanova


26 April 2013 in Chemical Society Reviews
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Journal Article
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ACAdam F. Chrimes
Adam F. Chrimes
KKKhashayar Khoshmanesh
Khashayar Khoshmanesh
PSPaul Stoddart
Paul Stoddart
AMArnan Mitchell
Arnan Mitchell
KKKourosh Kalantar-Zadeh
Kourosh Kalantar-Zadeh
Raman microscopy systems are becoming increasingly widespread and accessible for characterising chemical species. Microfluidic systems are also progressively finding their way into real world applications. Therefore, it is anticipated that the integration of Raman systems with microfluidics will become increasingly attractive and practical. This review aims to provide an overview of Raman microscopy-microfluidics integrated systems for researchers who are actively interested in utilising these tools. The fundamental principles and application strengths of Raman microscopy are discussed in the context of microfluidics. Various configurations of microfluidics that incorporate Raman microscopy methods are presented, with applications highlighted. Data analysis methods are discussed, with a focus on assisting the interpretation of Raman-microfluidics data from complex samples. Finally, possible future directions of Raman-microfluidic systems are presented.

15 April 2008 in Biotechnology Journal
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Journal Article
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NMNatasa Mitik‐Dineva
Natasa Mitik‐Dineva
JWJames Wang
James Wang
RMRadu C. Mocanasu
Radu C. Mocanasu
PSPaul Stoddart
Paul Stoddart
RCRussell Crawford
Russell Crawford
EIElena Ivanova
Elena Ivanova

5 May 2014 in Advanced Healthcare Materials
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JYJiawey Yong
Jiawey Yong
KNKarina Needham
Karina Needham
WBWilliam G. A. Brown
William G. A. Brown
BNBryony Nayagam
Bryony Nayagam
SMSally McArthur
Sally McArthur
PSPaul Stoddart
Paul Stoddart

2 September 2013 in Journal of Raman Spectroscopy
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Journal Article
Open access
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PCP. J. Cadusch
P. J. Cadusch
MHMya Myintzu Hlaing
Mya Myintzu Hlaing
Scott WadeScott Wade
Scott Wade
SMSally McArthur
Sally McArthur
PSPaul Stoddart
Paul Stoddart
Raman spectroscopy has attracted interest as a non‐invasive optical technique to study the composition and structure of a wide range of materials at the microscopic level. The intrinsic fluorescence background can be orders of magnitude stronger than the Raman scattering, and so, background removal is one of the foremost challenges for quantitative analysis of Raman spectra in many samples. A range of methods anchored in instrumental and computational programming approaches have been proposed for removing fluorescence background signals. An enhanced adaptive weighting scheme for automated fluorescence removal is reported, applicable to both polynomial fitting and penalized least squares approaches. Analysis of the background fitting results for ensembles of simulated spectra suggests that the method is robust and reliable and can significantly improve the background fit over the range of signal, shot noise and background parameters tested, while reducing the subjective nature of the process. The method was also illustrated by application to experimental data generated from aqueous solutions of bulk protein fibrinogen mixed with dextran. Copyright © 2013 John Wiley & Sons, Ltd.