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Article: Novel sparse component analysis approach to free radical EPR spectra decomposition

TitleNovel sparse component analysis approach to free radical EPR spectra decomposition
Authors
KeywordsBlind source separation
EPR spectroscopy
Free radical
Quantitative spectroscopy analysis
Sparse component analysis
Issue Date2005
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/yjmre
Citation
Journal Of Magnetic Resonance, 2005, v. 175 n. 2, p. 242-255 How to Cite?
AbstractFree radicals play important roles in many physiological and pathological pathways in biological systems. These free radicals can be detected and quantified by their EPR spectra. The measured EPR spectra are often mixtures of pure spectra of several different free radicals and other chemicals. Blind source separation can be applied to estimate the pure spectra of interested free radicals. However, since the pure EPR spectra are often not independent of each other, the approach based on independent component analysis (ICA) cannot accurately extract the required spectra. In this paper, a novel sparse component analysis method for blind source separation, which exploits the sparsity of the EPR spectra, is presented to reliably extract the pure source spectra from their mixtures with high accuracy. This method has been applied to the analysis of EPR spectra of superoxide, hydroxyl, and nitric oxide free radicals, for both simulated data and real world ex vivo experiment. Compared to the traditional self-modeling method and our previous ICA-based blind source separation method, the proposed sparse component analysis approach gives much better results and can give perfect separation for mixtures of superoxide spectrum and hydroxyl spectrum in the ideal noise-free case. This method can also be used in other similar applications of quantitative spectroscopy analysis. © 2005 Elsevier Inc. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/73998
ISSN
2015 Impact Factor: 2.889
2015 SCImago Journal Rankings: 1.157
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChang, Cen_HK
dc.contributor.authorRen, Jen_HK
dc.contributor.authorFung, PCWen_HK
dc.contributor.authorHung, YSen_HK
dc.contributor.authorShen, JGen_HK
dc.contributor.authorChan, FHYen_HK
dc.date.accessioned2010-09-06T06:56:48Z-
dc.date.available2010-09-06T06:56:48Z-
dc.date.issued2005en_HK
dc.identifier.citationJournal Of Magnetic Resonance, 2005, v. 175 n. 2, p. 242-255en_HK
dc.identifier.issn1090-7807en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73998-
dc.description.abstractFree radicals play important roles in many physiological and pathological pathways in biological systems. These free radicals can be detected and quantified by their EPR spectra. The measured EPR spectra are often mixtures of pure spectra of several different free radicals and other chemicals. Blind source separation can be applied to estimate the pure spectra of interested free radicals. However, since the pure EPR spectra are often not independent of each other, the approach based on independent component analysis (ICA) cannot accurately extract the required spectra. In this paper, a novel sparse component analysis method for blind source separation, which exploits the sparsity of the EPR spectra, is presented to reliably extract the pure source spectra from their mixtures with high accuracy. This method has been applied to the analysis of EPR spectra of superoxide, hydroxyl, and nitric oxide free radicals, for both simulated data and real world ex vivo experiment. Compared to the traditional self-modeling method and our previous ICA-based blind source separation method, the proposed sparse component analysis approach gives much better results and can give perfect separation for mixtures of superoxide spectrum and hydroxyl spectrum in the ideal noise-free case. This method can also be used in other similar applications of quantitative spectroscopy analysis. © 2005 Elsevier Inc. All rights reserved.en_HK
dc.languageengen_HK
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/yjmreen_HK
dc.relation.ispartofJournal of Magnetic Resonanceen_HK
dc.subjectBlind source separationen_HK
dc.subjectEPR spectroscopyen_HK
dc.subjectFree radicalen_HK
dc.subjectQuantitative spectroscopy analysisen_HK
dc.subjectSparse component analysisen_HK
dc.subject.meshAlgorithmsen_HK
dc.subject.meshAnimalsen_HK
dc.subject.meshCyclic N-Oxidesen_HK
dc.subject.meshElectron Spin Resonance Spectroscopy - methodsen_HK
dc.subject.meshFree Radicals - chemistryen_HK
dc.subject.meshHydroxyl Radical - chemistryen_HK
dc.subject.meshKidney - chemistryen_HK
dc.subject.meshMaleen_HK
dc.subject.meshNitric Oxide - chemistryen_HK
dc.subject.meshRatsen_HK
dc.subject.meshRats, Sprague-Dawleyen_HK
dc.subject.meshSignal Processing, Computer-Assisteden_HK
dc.subject.meshSpin Trappingen_HK
dc.subject.meshSuperoxides - chemistryen_HK
dc.titleNovel sparse component analysis approach to free radical EPR spectra decompositionen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1090-7807&volume=175&spage=242&epage=255&date=2005&atitle=Novel+sparse+component+analysis+approach+to+free+radical+EPR+spectra+decompositionen_HK
dc.identifier.emailChang, C: cqchang@eee.hku.hken_HK
dc.identifier.emailHung, YS: yshung@hkucc.hku.hken_HK
dc.identifier.emailShen, JG: shenjg@hku.hken_HK
dc.identifier.authorityChang, C=rp00095en_HK
dc.identifier.authorityHung, YS=rp00220en_HK
dc.identifier.authorityShen, JG=rp00487en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.jmr.2005.04.010en_HK
dc.identifier.pmid15922638-
dc.identifier.scopuseid_2-s2.0-21244492467en_HK
dc.identifier.hkuros101329en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-21244492467&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume175en_HK
dc.identifier.issue2en_HK
dc.identifier.spage242en_HK
dc.identifier.epage255en_HK
dc.identifier.isiWOS:000231082900009-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridChang, C=7407033052en_HK
dc.identifier.scopusauthoridRen, J=7403083223en_HK
dc.identifier.scopusauthoridFung, PCW=7101613315en_HK
dc.identifier.scopusauthoridHung, YS=8091656200en_HK
dc.identifier.scopusauthoridShen, JG=7404929947en_HK
dc.identifier.scopusauthoridChan, FHY=7202586429en_HK

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