Abstract
In this study, manganese(IV) oxide (MnO2) nanoparticle (np)-modified glassy carbon paste electrode is used for ascorbic acid (AA) detection in fruit juice samples. The experimental parameters like MnO2 np amount and pH were optimized by using modified full factorial design model. By means of this model, the number of experiments has been reduced. Under optimal conditions, the linear range for AA was obtained between 2.64 × 10−6 and −1.5 × 10−3 M. Limit of detection (LOD) (3 s/m) and relative standard deviation (RSD) were calculated as 8 × 10−7 M and 4.56 %, respectively. Developed sensor was applied to AA detection in fruit juice samples.
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Serdar Çevik declares that he has no conflict of interest. Ülkü Anık declares that she has no conflict of interest. Oğuz Akpolat declares that he has no conflict of interest.
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Çevik, S., Akpolat, O. & Anik, Ü. Ascorbic Acid Detection with MnO2-Modified GCPE. Food Anal. Methods 9, 500–504 (2016). https://doi.org/10.1007/s12161-015-0221-8
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DOI: https://doi.org/10.1007/s12161-015-0221-8