2021
DOI: 10.4274/tjps.galenos.2020.89725
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Development and Validation of an HPLC Method Using an Experimental Design for Analysis of Amlodipine Besylate and Enalapril Maleate in a Fixed-dose Combination

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Cited by 13 publications
(4 citation statements)
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“…The independent variables include buffer ratio, injection volume, ow rate and buffer pH [16][17][18]. Additionally, OFAT analysis was conducted to identify the independent factors that substantially affected the technique outcomes once a working range for each variable was de ned [19,20].…”
Section: Selection Of Critical Independent Variablesmentioning
confidence: 99%
“…The independent variables include buffer ratio, injection volume, ow rate and buffer pH [16][17][18]. Additionally, OFAT analysis was conducted to identify the independent factors that substantially affected the technique outcomes once a working range for each variable was de ned [19,20].…”
Section: Selection Of Critical Independent Variablesmentioning
confidence: 99%
“…It works by relaxing blood arteries, allowing blood to flow more freely and allowing the heart to pump blood more efficiently. A review of the literature reveals that several UV, [6][7][8][9][10][11][12][13] HPTLC, [14][15][16] HPLC, 13,16,[17][18][19][20][21][22][23][24][25][26][27] and UPLC 28 techniques have been described for the ADP and ELP alone or in combination with other medicines. To the best of our knowledge, no UHPLC method for determining stability has been published for ADP and ELP combination dose form.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, unlike OFAT, which assumes that factors act independently, DOE models can reveal potential interactions between these factors, enhancing the depth of process understanding. The optimization is conducted by employing response surface methodology with desirability function based on different designs such as Box-Behnken design (BBD) and central composite design (CCD) [28][29][30]. The BBD is a secondorder response surface design proposed for optimizing processes and studying the relationship between multiple independent factors and three-level responses.…”
Section: Introductionmentioning
confidence: 99%
“…The BBD requires fewer experimental runs compared to CCD, which makes it less resource-intensive and quicker to implement. It achieves this by omitting extreme factor combinations and focusing on factor settings closer to the center of the design space [30,31]. Many studies have been reported on using BBD to optimize chromatographic conditions [27,29].…”
Section: Introductionmentioning
confidence: 99%