Polypyrrole-MXene supported gold nanoparticles for the trace-level detection of nitrofurantoin

[Display omitted] •Nanosized Au nanoparticles decorated PPy-MXene were prepared by a simple technique.•The modified sensor exhibited excellent anti-interference, repeatability, and reproducibility.•Ultra-low detection limits and high sensitivities were obtained for the direct sensing of NFT.•The real-time applicability of the sensor was fruitfully applied for quantification of NFT from wastewater samples with satisfying recovery. High usage of nitrofurantoin (NFT) has resulted in unacceptable levels in water and foods with negative impacts on animals, humans, and surrounding ecosystems. The accurate and ultra-low sensing of NFT in waterways presents a significant societal challenge. To address this issue, gold nanoparticles (AuNPs) were integrated into polypyrrole (PPy) on Titanium carbide MXene (Ti3C2Tx) using a simple sonochemical route involving the in-situ, oxidant-free polymerization of pyrrole monomer in the presence of HAuCl4. The AuNP-PPy-MXene composite produced was used to modify a glassy carbon electrode (GCE) to construct an ultrasensitive electrochemical sensor for the direct and on-site sensing of NFT in complex samples. Electrochemical impedance spectroscopy (EIS) investigations showed Au-PPy-MXene-GCEs had a heterogeneous electron transfer rate constant (k°) of 1.03 × 10-2 cm s−1 and a lower charge-transfer resistance (Rct = 73 Ω) than Au-MXene, Au-PPy, and PPy-MXene GCEs. In addition, Au-PPy-MXene-GCE exhibited better electrocatalytic reduction performance at a higher cathodic signal intensity and a lower reduction overpotential of −0.38 V (vs Ag/AgCl) for NFT than Au-MXene, Au-PPy, and PPy-MXene GCEs. The fabricated sensor had a wide linear range from 6 to 172 nM (measured at −0.38 V vs Ag/AgCl), an ultra-low detection limit (LOD) of 0.26 nM (at S/N = 3), and an excellent sensitivity of 6.4121 μA nM−1 cm−2 for the electroreduction of NFT. Au-PPy-MXene-GCE also provided specific and accurate amperometric analysis for NFT in the presence of cationic, anionic, and other potentially interfering pesticides. The practicality of the sensor was tested to quantify NFT at trace levels in complex matrices (honey, pond water, and hospital wastewater samples), and achieved recoveries ranging between 97.6 % and 113.2 % and a relative standard deviation of