2007
DOI: 10.1016/j.aca.2007.03.065
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A study of physicochemical and biopharmaceutical properties of Amoxicillin tablets using full factorial design and PCA biplot

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Cited by 11 publications
(6 citation statements)
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“…It is understood that these variables influence each other in the preference of the panellists because of the high correlation coefficient, such as 0.998, between the sourness-swallowing character, 0.983 between saltinesstaste, and 0.994 between general acceptance and acidity. e biplot diagram is commonly used for graphing row and column elements using a single display in PCA [44]. It shows row and column factors from the correspondence analysis of two-way contingency tables and determines interaction in two-way analysis of variance tables.…”
Section: Results Of Sensory and Pca Analysismentioning
confidence: 99%
“…It is understood that these variables influence each other in the preference of the panellists because of the high correlation coefficient, such as 0.998, between the sourness-swallowing character, 0.983 between saltinesstaste, and 0.994 between general acceptance and acidity. e biplot diagram is commonly used for graphing row and column elements using a single display in PCA [44]. It shows row and column factors from the correspondence analysis of two-way contingency tables and determines interaction in two-way analysis of variance tables.…”
Section: Results Of Sensory and Pca Analysismentioning
confidence: 99%
“…MVDA is used for identifying patterns and relationships between several variables simultaneously (Eriksson, 2006). It predicts the effect of changing one variable to other variables and is applied for data analysis, data mining, classification (e.g., cluster analysis or outlier detection), regression analysis and predictive modeling, frequently used in pharmaceutical and biopharmaceutical processes (Eriksson, 2006;Pasqualoto et al, 2007;Rathore et al, 2011). Both tools, DoE and MVDA, are statistical-based, process understanding and optimization tools that build and describe knowledge around a specific application, which ultimately supports the development of confidence and enhanced understanding, as well as robustness of a process.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, a PCA biplot [ 35 ] was applied to explore and visualize the different parameters and the most relevant responses.…”
Section: Methodsmentioning
confidence: 99%