Premium
Determination of hydroxy acids in cosmetics by chemometric experimental design and cyclodextrin‐modified capillary electrophoresis
Author(s) -
Liu PeiYu,
Lin YiHui,
Feng Chia Hsien,
Chen YenLing
Publication year - 2012
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.201200213
Subject(s) - chromatography , chemistry , chemometrics , central composite design , factorial experiment , fractional factorial design , capillary electrophoresis , analytical chemistry (journal) , design of experiments , plackett–burman design , methanol , calibration curve , correlation coefficient , response surface methodology , detection limit , mathematics , statistics , organic chemistry
A CD‐modified CE method was established for quantitative determination of seven hydroxy acids in cosmetic products. This method involved chemometric experimental design aspects, including fractional factorial design and central composite design. Chemometric experimental design was used to enhance the method's separation capability and to explore the interactions between parameters. Compared to the traditional investigation that uses multiple parameters, the method that used chemometric experimental design was less time‐consuming and lower in cost. In this study, the influences of three experimental variables (phosphate concentration, surfactant concentration, and methanol percentage) on the experimental response were investigated by applying a chromatographic resolution statistic function. The optimized conditions were as follows: a running buffer of 150 mM phosphate solution (pH 7) containing 0.5 mM CTAB , 3 mM γ‐ CD , and 25% methanol; 20 s sample injection at 0.5 psi; a separation voltage of −15 kV; temperature was set at 25°C; and UV detection at 200 nm. The seven hydroxy acids were well separated in less than 10 min. The LOD (S/N = 3) was 625 nM for both salicylic acid and mandelic acid. The correlation coefficient of the regression curve was greater than 0.998. The RSD and relative error values were all less than 9.21%. After optimization and validation, this simple and rapid analysis method was considered to be established and was successfully applied to several commercial cosmetic products.