Abstract
The differentiation of 25 automotive clear coats was evaluated using pyrolysis-gas chromatography/mass spectrometry (Py-GC/MS). The samples were selected from eight different groups of samples which slightly differ in their infrared spectra. Most of the samples could be differentiated by visual inspection of the pyrograms. As an objective mean for evaluation a new software based on the comparison of chromatograms was tested for automatic classification considering retention times as well as mass spectra. The database was formed by the triplicate results of the set of the 25 samples. Normally a replicate measurement of a sample yields the best fit by library search. In addition, for most groups classification with moderate fits are obtained for samples belonging to the same group. Some samples are completely rearranged forming a new group of similar samples containing five samples from three different IR groups and four samples of three other groups, respectively. Furthermore detailed visual recognition of individual pyrolysis products allows subgrouping. Therefore, most samples can be differentiated from each other by Py-GC/MS. The exception were three sample groups containing two samples each, which could not be differentiated from each other neither by library search nor by recognition of minor individual pyrolysis products.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
