Identification of carton board qualities using gas chromatography or gas sensitive sensors in combination with multivariate data analysis
1997 (English)In: Nordic Pulp and Paper Research Journal, Vol. 12, no 4, 276-281 p.Article in journal (Refereed) Published
Headspace gas chromatograms of 40 different food packaging board and paper qualities, containing in total 8167 detected peaks, were processed with principal component analysis. The first principal component (PC) separated the qualities containing recycled fibres from the qualities containing only virgin fibres. The second PC was strongly influenced by peaks representing volatile compounds from coating and the third PC was influemced by the type of pulp used as raw material.
The same 40 board and paper samples were also analysed with also called electronic nose which essentially consists of a selection of gas sensitive sensors and a software based on multivariate data analysis. The electronic nose showed to have a potential to distinguish between qualities from different mills although the experimental condition were not fully developed.
The capability of the two techniques to recognise "fingerprints" of compounds emitted from board and paper suggests that the techniques can be developedfurther to partly replace human sensory panels in the quality control of paper and board intended for food packaging materials.
Place, publisher, year, edition, pages
1997. Vol. 12, no 4, 276-281 p.
Electronic nose, Headspace gas chromatography, Multivariate data analysis, Packaging board, Sensors
IdentifiersURN: urn:nbn:se:liu:diva-17331DOI: 10.3183/NPPRJ-1997-12-04-p276-281OAI: oai:DiVA.org:liu-17331DiVA: diva2:208675