Copper oxide integrated perylene diimide self-assembled graphitic pencil for robust non-enzymatic dopamine detection |
| |
Authors: | Umay Amara Sara Riaz Khalid Mahmood Naeem Akhtar Muhammad Nasir Akhtar Hayat Muhammad Khalid Muhammad Yaqub Mian Hasnain Nawaz |
| |
Affiliation: | Institute of Chemical Sciences, Bahauddin Zakariya University, Multan 60800 Pakistan.; Interdisciplinary Research Centre in Biomedical Materials (IRCBM), COMSATS University Islamabad, Lahore Campus, 54000 Pakistan.; Department of Chemistry, COMSATS University Islamabad, Lahore Campus, 54000 Pakistan ; Department of Chemistry, Khwaja Fareed University of Engineering and Technology, Rahim Yar Khan 64200 Pakistan |
| |
Abstract: | Exploring a robust, extremely sensitive, cost-effective and reliable assay platform for the precise analysis of dopamine (DA) has become a big challenge predominantly at the clinical level. To participate in this quest, herein, we fabricated a perylene diimide (PDI) self-assembled graphitic surface of the graphitic pencil electrode (GPE) anchored copper oxide (CuO). The self-assembled N-rich PDI led to the fast movement of ions by decreasing the bandgap and improved the electron transport kinetics with more exposed catalytic active sites, thus resulting in the robust electrochemical sensing of DA. The designed sensor exhibited good sensitivity (4 μM−1 cm−2), high structural stability, repeatability and excellent reproducibility with an RSD value of 2.9%. Moreover, the developed system showed a wide linear range (5 μM to 500 μM) and reliable selectivity even in the presence of co-existing interferants, such as ascorbic acid and uric acid. The fabricated nanohybrid was eventually employed to analyze DA in spiked physiological fluids and provided satisfactory recoveries. The designed PDI-CuO based interface also showed a very low detection limit of 6 nM (S/N = 3), consequently confirming its suitability for clinical and biological applications.Exploring a robust, extremely sensitive, cost-effective and reliable assay platform for the precise analysis of dopamine (DA) has become a big challenge predominantly at the clinical level. |
| |
Keywords: | |
|
|