Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/8936
Title: | Cluster and principal component analysis in the assessment of fountain solution quality | Authors: | Kiurski J. Oros I. Ralević, Nebojša Kovačević, Ivana Adamović, Savka Krstić J. Ĉomić Lj. L. |
Issue Date: | 7-May-2013 | Journal: | Carpathian Journal of Earth and Environmental Sciences | Abstract: | This study includes the analysis of 23 physico-chemical parameters of spent fountain solutions from 8 printing facilities (PFs) of Novi Sad, Serbia. Spent fountain solution samples were collected once per one hour during 8-hr working shift from sheet-fed and web-fed offset printing presses and analyzed using the standard procedures. Multivariate statistical methods, such as cluster analysis (CA) and principal component analysis (PCA), were applied for the interpretation of the physico-chemical dataset of the fountain solution samples. Based on the dataset, CA showed three groups of similarity between the fountain solution samples and the physico-chemical parameters. Cluster 1 (PF 1, 3, 5 and 8) and cluster 2 (PF 6 and 7) correspond to less polluted printing facilities in comparison to cluster 3 (PF 2 and 4). Three principal components (PCs) were identified as responsible for the data structure explaining 86.82% of the total variance of the dataset. The results obtained from this study could be very useful for the offset printing companies since they provide a complete quality overview of spent fountain solutions through the analysis of physico-chemical parameters and indicate the main sources of quality variation during the printing. | URI: | https://open.uns.ac.rs/handle/123456789/8936 | ISSN: | 18424090 |
Appears in Collections: | FTN Publikacije/Publications |
Show full item record
SCOPUSTM
Citations
3
checked on Feb 22, 2020
Page view(s)
23
Last Week
7
7
Last month
1
1
checked on May 10, 2024
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.