Rational incorporation of strontium pyrophosphate/hexagonal boron nitride composite for trace level electrochemical sensing of dopamine

In this work, we explores the electrochemical detection of dopamine (DA) in biological spiked samples by strontium pyrophosphate/hexagonal boron nitride (SrP/h-BN) composite. The systematic combination of multiple active sites in SrP/h-BN and their synergistic catalytic action results in excellent physicochemical features that can be leveraged for successful dopamine detection. The inherent advantages of fabricated nanocomposite modified electrode, such as low resistance charge transfer (R-ct = 279.65 +/- 0.0012 Omega.cm(2)), with an oxidation potential E-pa = +0.22 V (vs Ag/AgCl), low detection limit (0.3 nM), wide linear range (1 nM - 150 mu M and 170-337 mu M) and high sensitivity (19.6 +/- 0.015 mu A mu M-1 cm(2)) along with acceptable selectivity (in the presence of 10 interfering compound), are demonstrated by the fundamental advantages of the sonochemical synthetic process in terms of uniform size distribution, improved phase purity, optimum reaction time, and mass transfer effects. Furthermore, the suggested SrP/h-BN nanocomposite has a good recovery range for precise and quantitative DA measurement in human urine (99.6 % +/- 0.005) and BSA (99.8 % +/- 0.003) samples which demonstrate its real-time applicability.

Automated summary

In this study, we investigated the electrochemical detection of dopamine in biological samples using a strontium pyrophosphate/hexagonal boron nitride composite. The combination of multiple active sites in the composite resulted in excellent physicochemical features, allowing for successful dopamine detection. The fabricated nanocomposite modified electrode demonstrated low resistance charge transfer, low detection limit, wide linear range, high sensitivity, and acceptable selectivity. The suggested nanocomposite also showed good recovery range for precise and quantitative dopamine measurement in human urine and BSA samples, demonstrating its real-time applicability.