Norfloxacin detection based on the peroxidase-like activity enhancement of gold nanoclusters

The use of nanomaterials as mimic enzymes provides a promising way to implement bio-molecule detection in living systems. However, to achieve highly efficient catalytic processes with gold nanocluster-based nanozymes is still challenging. In this study, a facile reduction method was utilized to synthesize gold nanoclusters with 1-methyl-d-tryptophan as the reducing and capping agent. The obtained gold nanoclusters exhibited a peroxidase-mimicking property in the redox reaction of 3,3 ',5,5 '-tetramethylbenzidine to blue oxidized 3,3 ',5,5 '-tetramethylbenzidine in the presence of H2O2. The addition of norfloxacin endowed the nanozymes with a 10-fold enhancement in catalytic efficiency due to the surface charge-controlled electron transfer modulation. The colorimetric sensing system presented a high selectivity toward norfloxacin. The good linear relationship of norfloxacin monitoring was gained in the range of 1.25 similar to 8.0 mu M (R-2 = 0.996), with a detection limit of 0.2 mu M. The practical application of the proposed protocol for the measurement of norfloxacin in capsules was realized. This demonstrates that on account of their significant catalytic efficiency enhancement, the gold nanocluster-based nanozymes hold great promise in realizing the selective detection of drugs.

Automated summary

This study successfully synthesized gold nanoclusters with peroxidase-mimicking property, and achieved a 10-fold enhancement in catalytic efficiency for norfloxacin through surface charge-controlled electron transfer modulation, demonstrating high selectivity for norfloxacin detection.