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

KARAKUŞ S., Baytemir G., Tasaltin N.

APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING, vol.128, no.5, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 128 Issue: 5
  • Publication Date: 2022
  • Doi Number: 10.1007/s00339-022-05529-6
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aerospace Database, Chemical Abstracts Core, Chimica, Communication Abstracts, Compendex, INSPEC, Metadex
  • Keywords: Silver nanoparticle, Electrochemical, Biosensor, Colorimetric, GREEN SYNTHESIS, SENSOR, H2O2, FOOD, NANOCOMPOSITES, BIOSYNTHESIS, EXTRACT, HG2+
  • Istanbul University Affiliated: No


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.