شماره ركورد كنفرانس :
5319
عنوان مقاله :
Spectrophotometric determination of Dexamethasone using dispersive liquid-liquid microextraction combined with chemometrics
پديدآورندگان :
Sefid-Sefidehkhan Yasaman 2Department of Chemistry, University of Mohaghegh Ardabili, Ardabil, Iran##Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran , Rahimpour Elaheh Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran , Khoshkam Maryam khoshkam@uma.ac.ir Department of Chemistry, University of Mohaghegh Ardabili, Ardabil, Iran , Amiri Mandana Department of Chemistry, University of Mohaghegh Ardabili, Ardabil, Iran , Jouyban Abolghasem Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran
تعداد صفحه :
1
كليدواژه :
Dexamethasone , Dispersive liquid , liquid microextraction , ASCA , RSM , Central composite design , Spectrophotometry.
سال انتشار :
1400
عنوان كنفرانس :
هشتمين سمينار دوسالانه كمومتريكس ايران
زبان مدرك :
انگليسي
چكيده فارسي :
Optimization techniques are aimed to improve the performance of a system, process, or product for maximizing its benefits. Several variables in an analysis approach can influence the quality of the system analyzed and hence the amplitude of the responses obtained (1). Analytical methods are therefore required to be optimized. This is assessed by analyzing their variables, the assumable levels and responses yielded by changes in the experimental conditions of the system (2). RSM is a set of statistically useful approaches for designing experiments, simulation, and analyzing the effects of independent factors on response. It can be used to weigh the relative importance of numerous influencing factors. RSM is fundamental goal is to select the optimal operational circumstances for desirable responses (3). ASCA (ANOVA simultaneous component analysis) is a user-friendly method for extracting more data from a multivariate dataset from a specific experiment than previous methods (4). The major goal of this study was to apply chemometrics methods such as ASCA, RSM, and CCD (central composite design) to identify key parameters in Dexamethasone microextraction. So, the pre-concentration and determination of dexamethasone concentration are proposed in this work using dispersive liquid-liquid microextraction (DLLME) and spectrophotometry, in combination with chemometrics approaches. The extraction and dispersive solvents for the one-variable-at-a-time procedure were chloroform and acetonitrile. The volume of extraction and dispersion solvents, the amount of salt, and the incubation time were all optimized using the CCD. For more study, ASCA (a multivariate statistical tool) was used for studying affecting factors on microextraction and their interaction, then compared with results obtained from the central composite design method and RSM to achived the optimum condition to br determined the trace amount of dexamethasone. Under the optimum conditions, a linear calibration curve with a detection limit of 0.092 ppm in the 0.1-10 ppm range.
كشور :
ايران
لينک به اين مدرک :
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