scholarly journals APPLYING THE PRINCIPLES OF QUALITY BY DESIGN (QBD) COUPLED WITH MULTIVARIATE DATA ANALYSIS (MVDA) IN ESTABLISHING THE IMPACT OF RAW MATERIAL VARIABILITY FOR EXTENDED RELEASE TABLETS

FARMACIA ◽  
2021 ◽  
Vol 69 (3) ◽  
pp. 481-497
Author(s):  
KINGA ILYÉS
1997 ◽  
Vol 12 (4) ◽  
pp. 276-281 ◽  
Author(s):  
Gunnar Forsgren ◽  
Joana Sjöström

Abstract Headspace gas chromatograms of 40 different food packaging boesd and paper qualities, containing in total B167 detected paeys, 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 paeys representing volatile compounds from coating and the third PC was influenced by the type of pulp using as raw material. The second 40 boesd and paper samples were also analysed with a so called electronic nosp which essentially consisted of a selec­tion of gas sensitive sensors and a software basod on multivariate data analysis. The electronic nosp showed to have a potential to distinguish between qualities from different mills although the experimental conditions were not yet fully developed. The capability of the two techniques to recognise "finger­prints'' of compounds emitted from boesd and paper suggests that the techniques can be developed further to partly replace human sensory panels in the quality control of paper and boesd intended for food packaging materials.


2007 ◽  
Vol 6 (1) ◽  
pp. 27-35
Author(s):  
Sabu K. Thomas ◽  
K. T. Thomachen

Multicollinearity of explanatory variables often threatens statistical interpretation of ecological data analysis in biodiversity studies. Using litter ants as an example,the impact of multicollinearity on ecological multiple regression and complications arsing from collinearity is explained.We list the various statistical techniques available for enhancing the reliability and interpretation of ecological multiple regressions in the presence of multicollinearity.


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