Digital colorimetric and non-enzymatic biosensor with nanoarchitectonics of Lepidium meyenii-silver nanoparticles and cotton fabric: real-time monitoring of milk freshness

Abstract

With advances in nanotechnology research, there is a growing interest in fabricating sensitive digital colorimetric biosensors with their excellent performance and selectivity for the detection of target analytes in sensor applications. Herein, a novel Lepidium meyenii polyphenol extract (PPE)/silver nanoparticles (Ag NPs) coated cotton fabric as a biosensor was developed as a sensitive smartphone-integrated colorimetric and non-enzymatic biosensor for real-time monitoring of milk freshness. The PPE-Ag NPs were characterized using different techniques such as SEM, HRTEM, FTIR, and AFM techniques. Furthermore, HRTEM images of the prepared PPE-Ag NPs were powered using an artificial intelligence (AI) approach. The novel digital colorimetric PPE-Ag NPs coated cotton fabric biosensor exhibited an ultra-sensitive detection for H2O2 with a high coefficient correlation (R-2 = 0.987) and low limit of detection (LOD) of 3.84 mu M in a wide concentration range of 0.5-5000 mu M in the presence of interfering biomolecules such as ascorbic acid, urea, glucose, and lactose. The electrochemical response of the biosensor was proportional to the H2O2 concentration in a range of 40-800 mu M with a low LOD of 33.52 nM. Consequently, the experimental results showed that it is a promising biosensor for the determination of H2O2 in intelligent food applications.