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Imaging fingerprinting of excitation emission matrices
Linköping University, Department of Physics, Chemistry and Biology, Applied Physics. Linköping University, Faculty of Science & Engineering.
University Roma Tor Vergata.
Linköping University, Department of Physics, Chemistry and Biology, Applied Physics. Linköping University, Faculty of Science & Engineering.
University Roma Tor Vergata.
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2009 (English)In: Analytica Chimica Acta, ISSN 0003-2670, E-ISSN 1873-4324, Vol. 635, no 2, 196-201 p.Article in journal (Refereed) Published
Abstract [en]

The spectral fingerprinting of the excitation emission matrix (EEM) of fluorescent substances is demonstrated using polychromatic light sources and tri-chromatic image detectors. A model of the measured fingerprints explaining their features and classification performance, based on the polychromatic excitation of the indicators is proposed.

Substantial amount of spectral information is retained in the fingerprints as corroborated by multivariate analysis and experimental conditions that favor such situation are identified.

In average, for five different substances, the model shows a fitting goodness measured by the Pearsons r coefficient and the root mean square deviation of 0.8541 and 0.0247 respectively, while principal component classification patterns satisfactorily compare with the EEM spectroscopy classification and respectively explain 96% and 93% of the information in the fist two principal components.

The measurements can be performed using regular computer screens as illumination and web cameras as detectors, which constitute ubiquitous and affordable platforms compatible with distributed evaluations, in contrast to regular instrumentation for EEM measurements.

Place, publisher, year, edition, pages
2009. Vol. 635, no 2, 196-201 p.
Keyword [en]
Chemical sensing, Optical sensing, Excitation emission matrix, Computer screen photo-assisted technique, Spectral fingerprinting
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:liu:diva-17292DOI: 10.1016/j.aca.2009.01.018OAI: oai:DiVA.org:liu-17292DiVA: diva2:208165
Available from: 2009-03-16 Created: 2009-03-16 Last updated: 2017-12-13
In thesis
1. Integrated Optical Solutions for Ubiquitous Sensing
Open this publication in new window or tab >>Integrated Optical Solutions for Ubiquitous Sensing
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Ubiquitous chemical sensing aims at exploiting consumer electronic devices as temporary chemical sensing platforms. These devices are a highly disseminated infrastructure, not presently being exploited for chemical sensing purposes. The goal of the ubiquitous chemical sensing field is to create the methodologies and adapted devices to profit from this unexploited resource.

DVD drives, flat bed scanners and computer screens used in combination with web cameras, and mobile phones have been demonstrated as measuring platforms, during the past 10 years.

In particular the combination of computer screens with web cameras, a technique called the computer screen photo-assisted technique (CSPT), is the most versatile approach to support multiple types of optical detection phenomena, and together with mobile phones are the most ubiquitous type of platforms.

The versatility of CSPT comes from the ease with which one can configure a spectrally controlled, 2D micro-positioned, linearly polarized, wide angle and internally modulated illumination with a programmable screen, just by controlling the displayed contents. Concurrently, the imaging devices in CSPT enable one to capture arbitrary assay layouts, the evaluation of which can then be numerically customized.

The full exploitation of the CSPT platform requires optically adapted sensing interfaces and specialized methods, in order to increase sensitivity and make use of all available information, for a thorough and complete chemical sensing analysis. In this thesis I have explored the foundations of CSPT sensing on integrated devices, developing methods and sensing’s interfaces that provide enhanced optical detection customized to the CSPT platform.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2010. 63 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1355
National Category
Natural Sciences
Identifiers
urn:nbn:se:liu:diva-63709 (URN)978-91-7393-269-1 (ISBN)
Public defence
2010-12-15, Plank, E-huset, Campus Valla, Linköpings universitet, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2010-12-30 Created: 2010-12-30 Last updated: 2011-01-03Bibliographically approved

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Ali Malik, MuhammadMacken, StephenLundström, IngemarFilippini, Daniel

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