2016
DOI: 10.1080/22297928.2016.1232176
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Comparative Study of the Spectral Resolution Efficiency of the Recently Developed and Conventional Spectrophotometric Methods in the Analysis of Severely Overlapped Zero-Order Absorption Spectra with the Same Geometrical Features

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Cited by 2 publications
(1 citation statement)
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“…This technique is based on regaining the parent spectrum (PS) of severely overlapped spectra of analytes in the mixtures followed by concentration detection at their absorbance maxima with satisfactory accuracy and precision via recently introduced resolution tool called factorized spectrum (FS) used in quality control laboratories. Spectrophotometric analysis is widely used in determination of various pharmaceutical preparation owing to their well-known benefits such as user friendly, simplicity, cost effective, abatement of expensive reagents or complicated software [ [41] , [42] , [43] , [44] , [45] ]. The obtained results of the proposed methods using different extraction scheme along with those attained by the reported method were set side by side through a well-designed comparative study to assure the applicability and efficacy of the proposed methods.…”
Section: Introductionmentioning
confidence: 99%
“…This technique is based on regaining the parent spectrum (PS) of severely overlapped spectra of analytes in the mixtures followed by concentration detection at their absorbance maxima with satisfactory accuracy and precision via recently introduced resolution tool called factorized spectrum (FS) used in quality control laboratories. Spectrophotometric analysis is widely used in determination of various pharmaceutical preparation owing to their well-known benefits such as user friendly, simplicity, cost effective, abatement of expensive reagents or complicated software [ [41] , [42] , [43] , [44] , [45] ]. The obtained results of the proposed methods using different extraction scheme along with those attained by the reported method were set side by side through a well-designed comparative study to assure the applicability and efficacy of the proposed methods.…”
Section: Introductionmentioning
confidence: 99%