A novel non-enzyme sensor based on a PDDA-RGO/Pt NPs nanocomposite for electrochemical detection of ascorbic acid

• Published in: International journal of electrochemical science Vol. 14; no. 12; pp. 10406 - 10418
• Main Authors: Chu, Guanglei, Wang, Guangxian, Yao, Yao, An, Xingshuang, Zhang, Yanyan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01-12-2019
• Subjects: Ascorbic acid detection; Non-enzymic sensor; Platinum nanoparticles; Poly dimethyl diallyl ammonium chloride; Reduced graphene oxide; Non-enzymic sensor; Poly dimethyl diallyl ammonium chloride; Platinum nanoparticles; Reduced graphene oxide; Ascorbic acid detection
• ISSN: 1452-3981; 1452-3981
• DOI: 10.20964/2019.12.47

Enzyme-based sensors exhibit some inevitable shortcomings based on short storage times, poor stability and high cost. In this paper, we used platinum nanoparticles (Pt NPs) instead of enzymes to catalyze the detection of ascorbic acid; thus, we developed a new non-enzymatic sensor electrocatalyst for ascorbic acid detection. Poly dimethyl diallyl ammonium chloride (PDDA)-modified graphene not only showed excellent conductivity and solubility but also increased the modification ability of the nanomaterials. Platinum nanoparticles show a strong catalytic effect on ascorbic acid. By binding both these materials together and modifying them on glassy carbon electrodes, a non-enzymatic sensor based on a PDDA-functionalized reduced graphene oxide-platinum nanoparticles nanocomposite was built. TEM, EDS and FT-IR were used for characterizing the morphology of the samples. The electrochemical properties of the PDDA-reduced graphene oxide-platinum nanoparticles (PDDA- RGO/Pt NPs) electrodes were studied by cyclic voltammetry. The results showed that the sensor could be used to detect AA with excellent electrocatalytic activity, a wide linear range of 0.001 mM-10 mM at 0 V, and a low detection limit of 0.0005 μM (S/N=3). The repeatability and stability of the sensor was also studied, and the sensor was found to exhibit excellent performance. From an interference study, it was found that interfering substances had little effect on the sensor, with a recovery rate between 96% and 104% found in actual sample detection. This method of sensor fabrication provided a potential platform for the detection of other biological substances.