2014
DOI: 10.1016/j.saa.2014.01.130
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A comparative study of novel spectrophotometric methods based on isosbestic points; application on a pharmaceutical ternary mixture

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Cited by 56 publications
(36 citation statements)
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“…This method was based on the same principle as the absorption factor method [34][35][36][37]. The method has mainly depended on the presence of an isoabsorptive point in the zero order absorption spectra of the drugs (λiso 267 nm) where the drugs have equal absorptivities at this point.…”
Section: Absorbance Subtraction Methods (As)mentioning
confidence: 99%
See 1 more Smart Citation
“…This method was based on the same principle as the absorption factor method [34][35][36][37]. The method has mainly depended on the presence of an isoabsorptive point in the zero order absorption spectra of the drugs (λiso 267 nm) where the drugs have equal absorptivities at this point.…”
Section: Absorbance Subtraction Methods (As)mentioning
confidence: 99%
“…In addition, the extension of the spectra of one component was another requirement [34,36]. The AM method has depended on the utilization of the normalized divisor to eliminate the effect of the choice of the divisor which greatly affects the results of manipulating ratio spectra techniques.…”
Section: Amplitude Modulation Methods (Am)mentioning
confidence: 99%
“…The concentration of each X and Y, separately, is calculated using the isobsorptive point unified regression equation (obtained by plotting the absorbance values of the zero order spectra of either X or Y at isobsorptive point (k iso ) against the corresponding concentrations X or Y respectively) [41][42][43].…”
Section: Absorbance Subtraction Methods (As)mentioning
confidence: 99%
“…Ternary mixtures suffer a higher degree of difficulty in spectrophotometric resolution than binary mixtures, due to the severe overlap usually noticed in their spectra. Many methods have been developed for resolution of the overlapped spectra of ternary mixtures using different spectrophotometric and chemometric techniques [1][2][3][4][5][6][7][8].…”
Section: Introductionmentioning
confidence: 99%