2020
DOI: 10.1016/j.saa.2020.118313
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D-optimal design as a useful tool response surface methodology for the optimization of signals from synchronous fluorescence prior to simultaneous determination of avanafil and tadalafil

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Cited by 14 publications
(11 citation statements)
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“…Data results presented in Table 3 were in accordance with those produced by applying other reported methods for comparison. [ 13,37 ] Comparative statistical testing of the data results by Student’s t ‐test and the variance ratio F ‐test assured that there was no statistically significant difference between the adopted and other reported methods. The standard addition method was used to confirm the validity of the adopted method and indicated no matrix interference, as presented in Table 4.…”
Section: Methods Validation[51]mentioning
confidence: 98%
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“…Data results presented in Table 3 were in accordance with those produced by applying other reported methods for comparison. [ 13,37 ] Comparative statistical testing of the data results by Student’s t ‐test and the variance ratio F ‐test assured that there was no statistically significant difference between the adopted and other reported methods. The standard addition method was used to confirm the validity of the adopted method and indicated no matrix interference, as presented in Table 4.…”
Section: Methods Validation[51]mentioning
confidence: 98%
“…After adding a single dose of citalopram 40 mg, the maximum concentration (C max ) in plasma was 48.6 ng ml −1 at 2.4 h due to the rapid absorption of citalopram. [ 52 ] The C max for tadalafil was 378 μg ml −1 at 2 h after a single dose of tadalafil of 20 mg. [ 37 ] The high sensitivity of the adopted spectrofluorimetric method was successfully used to assay citalopram and tadalafil in spiked human plasma. Citalopram and tadalafil could be discriminated from other endogenous compounds without any interference.…”
Section: Methods Validation[51]mentioning
confidence: 99%
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“…In a review paper, Hibbert [11] described the use of several DoE processes applied to chromatographic separation and highlighted the most used in optimization and validation studies such as: (1) Factorial design [12][13][14]; (2) Plackett-Burman (PB) design [15][16][17]; (3) Central Composite design (CCD) [18][19][20]; (4) Box-Behnken design (BBD) [21][22][23]; (5) Doehlert design (DD) [24][25][26] and (6) Mixture design [27][28][29]. Other types of DoE have been used and often cited in the literature, as examples Mixed-level fractional factorial design [30][31][32]; Definitive Screening design (DSD) [33][34][35] and D-optimal design [36][37][38].…”
Section: Introductionmentioning
confidence: 99%