Pharmaceutical Technology: Controlled Drug Release, Volume 2
Pharmaceutical Technology: Controlled Drug Release, Volume 2
Pharmaceutical Technology: Controlled Drug Release, Volume 2
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66 MATRIX FORMULATIONS [CH. 5<br />
Table 6—Slope comparisons between processes (p values)<br />
Significance: NS, none; ***, high; **, regular; *, poor.<br />
Table 7—Variability between trials and between tablets (p values)<br />
Significance: **, regular; ***, high.<br />
Principal Component Analysis (PCA)<br />
The objective of PCA is to obtain a small number of linear combinations (the principal<br />
components) representative of the entire system [3,9–11]. The summarized information is<br />
evaluated by the percentage of the total variance justified by the component.<br />
In our study, we only retained two components, obtained by the analysis on each tablet of the<br />
optimized formulations:<br />
Principal component Proportion of variance (%) Cumulative proportion (%)<br />
1 53.9 53.9<br />
2 32.2 86.1<br />
The plot of the two components (Fig. 4) reveals the following points.