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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
