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Issue 1, 2011
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Quantification of ellagic acid in cosmetic products by using a partially preanodized screen-printed carbon electrode coupled with flow injection analysis

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Abstract

A partially preanodized screen-printed carbon electrode (PSPCE*) coupled with flow injection analysis (FIA) was developed to raise the selectivity of ellagic acid (EA). To confirm the effectiveness of partial preanodization, two pretreated screen-printed carbon electrodes were electrochemically compared. One was a PSPCE* fabricated by potential cycling (−1.0 – +1.0 V vs.Ag/AgCl) to make the electrode surface partially preanodized and the other was a SPCE* fabricated by a high treatment potential (+2.0 V vs.Ag/AgCl). Cyclic voltammograms showed that the catalytic current of EA was observed at both the PSPCE* and SPCE*. No catalytic current of ascorbic acid 2-glucoside (AA2G) and magnesium ascorbyl phosphate (MAP) was observed at the PSPCE*. The PSPCE* selectively detected EA. The factors, which influence the EA response current, have previously been discussed. At the detection limit (0.012 ppm, S/N = 3), the linear calibration plot (R2 = 0.998) was attained for 0.1–50 ppm of EA solutions. A relative standard deviation of 4.37 and 3.90% was conducted for consecutive injections (n = 10) of 1 and 50 ppm EA, respectively. Finally, a practical application of the proposed method was demonstrated by the quantitative analysis of EA in skin whitening creams, and good recovery was obtained.

Graphical abstract: Quantification of ellagic acid in cosmetic products by using a partially preanodized screen-printed carbon electrode coupled with flow injection analysis

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Publication details

The article was received on 30 Sep 2010, accepted on 28 Oct 2010 and first published on 26 Nov 2010


Article type: Paper
DOI: 10.1039/C0AY00592D
Citation: Anal. Methods, 2011,3, 205-209

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    Quantification of ellagic acid in cosmetic products by using a partially preanodized screen-printed carbon electrode coupled with flow injection analysis

    P. Chen, Y. Ji, C. Luo, Y. Chen and Y. Shih, Anal. Methods, 2011, 3, 205
    DOI: 10.1039/C0AY00592D

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