4.5 Article

Voltammetric Determination of Phenylalanine Using Chemically Modified Screen-Printed Based Sensors

Journal

CHEMOSENSORS
Volume 8, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/chemosensors8040113

Keywords

phenylalanine; sensor; Prussian Blue; cyclic voltammetry; electrochemistry

Funding

  1. Dunarea de Jos University of Galati

Ask authors/readers for more resources

This paper describes the sensitive properties of screen-printed carbon electrodes (SPCE) modified by using three different electroactive chemical compounds: Meldola's Blue, Cobalt Phthalocyanine and Prussian Blue, respectively. It was demonstrated that the Prussian Blue (PB) modified SPCE presented electrochemical signals with the highest performances in terms of electrochemical process kinetics and sensitivity in all the solutions analyzed. PB-SPCE was demonstrated to detect Phe through the influence it exerts on the redox processes of PB. The PB-SPCE calibration have shown a linearity range of 0.33-14.5 mu M, a detection limit (LOD) of 1.23 x 10(-8) M and the standard deviation relative to 3%. The PB-SPCE sensor was used to determine Phe by means of calibration and standard addition techniques on pure samples, on simple pharmaceutical samples or on multicomponent pharmaceutical samples. Direct determination of the concentration of 4 x 10(-6)-5 x 10(-5) M Phe in KCl solution showed that the analytical recovery falls in the range of 99.75-100.28%, and relative standard deviations in the range of 2.28-3.02%. The sensors were successfully applied to determine the Phe in pharmaceuticals. The validation of the method was performed by using the FTIR, and by comparing the results obtained by PB-SPCE in the analysis of three pharmaceutical products of different concentrations with those indicated by the producer.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available