Simultaneous Kinetic-Spectrofluorometric Determination of Levodopa and Carbidopa Using Partial Least-Squares Regression
نویسندگان
چکیده
منابع مشابه
Simultaneous kinetic-spectrofluorometric determination of levodopa and carbidopa using partial least-squares regression.
A simple and sensitive methodology for the simultaneous determination of levodopa and carbidopa in pharmaceutical samples is described. The method combines the advantages of fluorescence with partial least-squares (PLS) analysis, and requires no previous separation steps. The developed method is based on the oxidation of levodopa and carbidopa by cerium(IV) in a sulfuric acid medium and monitor...
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Three chemometric methods; partial least squares regression (PLS), principal component regression (PCR) and least-squares support vector machines (LS-SVM) were applied for simultaneous determination of carbidopa and levodopa in synthetic mixtures and real samples. The simultaneous determination of these drugs is a difficult problem due to spectral interferences. The proposed methods were used f...
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A rapid, sensitive and versatile kinetic method is presented for the simultaneous spectrophotometric determination of iodide and iodate by partial least-squares regression (PLS) using original and derivate data named as absorbance and rate data. The method is based on the catalytic effect of the cited anions on the reaction rate between Ce(IV) and As(III) in 2 mol l?1 sulfuric acid medium. The ...
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متن کاملspectrophotometric simultaneous kinetic determination of iodide and iodate using partial least-squares calibration method in a single kinetic run
a rapid, sensitive and versatile kinetic method is presented for the simultaneous spectrophotometric determination of iodide and iodate by partial least-squares regression (pls) using original and derivate data named as absorbance and rate data. the method is based on the catalytic effect of the cited anions on the reaction rate between ce(iv) and as(iii) in 2 mol l?1 sulfuric acid medium. the ...
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ژورنال
عنوان ژورنال: Analytical Sciences
سال: 2009
ISSN: 0910-6340,1348-2246
DOI: 10.2116/analsci.25.633