Design and Applications of Mesoporous Silica Nanoparticle loaded Copper as a Colorimetric Sensor for glutathione detection

Abstract

Abstract In recent years, the development of nanomaterials-based peroxidase mimics as enzyme sensors have been attracting considerable interest due to their outstanding features, including potent stability and cost-effectiveness toward natural enzymes. In this work, mesoporous silica nanoparticles-functionalized by copper (Cu-MSN) was prepared as a new artificial enzyme for the first time through the sol-gel procedure. A comprehensive investigation of the catalytic activity of Cu-MSN was done through the oxidation of chromogenic peroxidase substrates,3,3′,5,5′- tetramethylbenzidine (TMB) and (2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) diammonium salt (ABTS), in the presence of H2O2. The results indicate that the peroxidase-like activity of the as-prepared sample is significantly higher than other nanoparticles. Additionally, for the study, a facile and rapid sensing method based on the enzyme-like activity of Cu-MSN to detect H2O2 and glutathione (GSH) was developed to examine the potency of the proposed biosensor. Preliminary analysis revealed that the limit of detection (LOD) of H2O2 and GSH is 0.2 and 0.0126 μM, in the range of 0.9-100 and 0.042-1 μM, respectively. These findings support the claims for the efficiency of the sensor in detection fields. Also, human serum was utilized as the real sample to obtain additional evidence.