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An expert system for the interpretation of pyrolysis mass spectra of condensation polymers

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dc.contributor.author Georgakopoulos, CG en
dc.contributor.author Statheropoulos, MC en
dc.contributor.author Montaudo, G en
dc.date.accessioned 2014-03-01T01:13:34Z
dc.date.available 2014-03-01T01:13:34Z
dc.date.issued 1998 en
dc.identifier.issn 0003-2670 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/12572
dc.subject Factor Model en
dc.subject Information Presentation en
dc.subject Knowledge Base en
dc.subject Mass Spectrometer en
dc.subject Mass Spectrometry en
dc.subject Programming Language en
dc.subject Spectrum en
dc.subject User Interaction en
dc.subject Electron Impact en
dc.subject Expert System en
dc.subject Mass Spectra en
dc.subject.classification Chemistry, Analytical en
dc.subject.other imide en
dc.subject.other polyamide en
dc.subject.other polycarbonate en
dc.subject.other polyester en
dc.subject.other polyether derivative en
dc.subject.other polymer en
dc.subject.other polyphosphagene en
dc.subject.other polysiloxane en
dc.subject.other polysulfone en
dc.subject.other polyurethan en
dc.subject.other schiff base en
dc.subject.other sulfide en
dc.subject.other unclassified drug en
dc.subject.other urea derivative en
dc.subject.other algorithm en
dc.subject.other article en
dc.subject.other computer program en
dc.subject.other desorption en
dc.subject.other expert system en
dc.subject.other ionization en
dc.subject.other mass spectrometry en
dc.subject.other polymerization en
dc.subject.other priority journal en
dc.subject.other pyrolysis en
dc.title An expert system for the interpretation of pyrolysis mass spectra of condensation polymers en
heal.type journalArticle en
heal.identifier.primary 10.1016/S0003-2670(97)00632-6 en
heal.identifier.secondary http://dx.doi.org/10.1016/S0003-2670(97)00632-6 en
heal.language English en
heal.publicationDate 1998 en
heal.abstract The PROLOG programming language was used for the construction of the Expert System (ES) HEPHESTUS used in the interpretation of pyrolysis mass spectra of condensation polymers, such as polyamides, polycarbonates, polyethers, polyesters, polyureas, polyurethanes, polyimides, polysulphides, polysulfones, polyschiff bases, polysiloxanes and polyphosphagenes. The ES can be applied to Pyrolysis Mass Spectrometry (PyMS) spectra of polymers using Electron Impact, Chemical Ionisation or Desorption Chemical Ionisation modes. The sample is introduced and pyrolysed directly in the source of the mass spectrometer. The ES knowledge base is organised in a tree form, based on polymer structures. The inference mechanism uses empirical algorithms and the autocorrelation algorithm to determine important information present in the unknown polymer spectrum. Possible solutions are proposed using the Certainty Factor model and based on the rules of the knowledge base. The autocorrelation algorithm, used to determine the repeating unit, gave 57.3% of successes and 42.7% not best choices. Among the not best choices the 23.3% were failures. For the same purpose, the empirical algorithm gave 68.5% successes and 31.5% not best choices (among them 35.7% were failures). User interaction improves the ES's performance to propose the correct polymer (94.4% of the trials were the best choices). (C) 1998 Elsevier Science B.V. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Analytica Chimica Acta en
dc.identifier.doi 10.1016/S0003-2670(97)00632-6 en
dc.identifier.isi ISI:000072448200021 en
dc.identifier.volume 359 en
dc.identifier.issue 1-2 en
dc.identifier.spage 213 en
dc.identifier.epage 225 en


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