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Odour analysis of paperboard, the correlation between human senses and electronic sensors using multivariate analysis
Author(s) -
Willing BrittInger Ljungberg,
Brundin Anders,
Lundström Ingemar
Publication year - 1998
Publication title -
packaging technology and science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 50
eISSN - 1099-1522
pISSN - 0894-3214
DOI - 10.1002/(sici)1099-1522(199803/04)11:2<59::aid-pts418>3.0.co;2-n
Subject(s) - paperboard , electronic nose , partial least squares regression , measure (data warehouse) , multivariate statistics , regression analysis , computer science , engineering , statistics , mathematics , artificial intelligence , data mining , mechanical engineering
Today's methods for measuring odours from paperboard intended for packaging materials are often time consuming, so producers of packaging materials need to find a quick reliable method that can describe not only the volatile compounds, but also the odour from the packaging. Odour analysis and an ‘electronic nose’ have been used to measure the volatile compounds from paperboard. The results from the measurements have been statistically evaluated by partial least squares regression (PLS). The signals from some electronic sensors correlated well with a selected number of descriptors while some sensors have no descriptors that fit. © 1998 John Wiley & Sons, Ltd.