Title
Classification of virgin and virgin-recycled fiber blend hygienic tissue paper by multivariate analysis
Authors
LI-PING XIN XIN-SHENG CHAI HUI-CHAO HU CHUN-XIA CHEN and RUN-QUAN CHEN

Received October 9, 2014
Published Volume 50 Issue 2 February
Keywords tissue paper, virgin fiber, recycled fiber, multivariate analysis

Abstract
This paper presents an application of multivariate analysis for classing virgin and non-virgin tissue paper products. The brightness, fluorescent whiteness, fiber fibrillation and effective residual ink concentration of commercial tissue paper products were measured according to ISO standard methods. Based on these parameters, the multivariate analysis techniques, i.e., principal component analysis (PCA) performed on the preliminary study of the data set structure, soft independent modeling of class analogy (SIMCA), and partial least square discriminant analysis (PLS-DA), were used to develop classification models. The results showed that the PLS-DA model provided better classification in the applications.
The present method is simple and accurate. It is suitable for use in quality control testing of tissue papers during the manufacturing, as well as in the analysis of point-of-sale samples from commercial markets.