Abstract
In this work, we have developed a novel electroanalytical methodology based on generation of third-order differential pulse voltammetric (DPV) data for simultaneous determination of ascorbic acid (AA) and uric acid (UA) in the presence of dopamine (DPA) as uncalibrated interference. To generate third-order DPV data, two instrumental parameters including pulse height and pulse time were changed. Each sample had a three-way data array containing six matrices recorded at six different pulse times and each matrix had six vectors recorded at six different pulse heights. By joining three-way data arrays, we could generate a four-way data array. After data pre-processing, a calibration model was built by augmented parallel factor analysis (APARAFAC) and multivariate curve resolution-alternating least squares (MCR-ALS) and their performance for simultaneous determination of AA and UA in the absence and presence of DPA as uncalibrated interference was examined by predicting concentrations of validation and test set, respectively. Our records confirmed successfulness of MCR-ALS in predicting concentrations of AA and UA in both validation and test sets and then, it was applied to the analysis of real samples. Fortunately, the results of MCR-ALS in analyzing real samples were acceptable which also confirmed development of a novel method.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: 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.