An origami-based colorimetric sensor for detection of hydrogen peroxide and glucose using sericin capped silver nanoparticles

• Published in: Scientific reports Vol. 13; no. 1; p. 7064
• Main Authors: Mirzaei, Younes, Gholami, Ali, Sheini, Azarmidokht, Bordbar, Mohammad Mahdi
• Format: Journal Article
• Language: English
• Published: England Nature Publishing Group 01.05.2023; Nature Publishing Group UK; Nature Portfolio
• Subjects: Biological samples; Colorimetry; Colorimetry - methods; Disease detection; Environmental protection; Glucose; Glucose - analysis; Glucose oxidase; Hydrogen peroxide; Hydrogen Peroxide - chemistry; Image processing; Industrial wastewater; Limit of Detection; Metal Nanoparticles - chemistry; Monitoring methods; Nanoparticles; Quality control; Saliva; Sensors; Sericins; Silver; Silver - chemistry; Wastewater
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-023-34299-1

The hydrogen peroxide (H O ) measurement is considered highly important in industrial wastewater quality assessment, environmental protection, and disease detection. Here, a simple high-performance paper-based sensor is proposed for rapid and in situ detection of H O . To this end, 3,3',5,5'-tetramethylbenzidine is embedded in the sensor to act as a color indicator, whose reaction with hydrogen peroxide is catalyzed by a silver nanozyme modified by sericin. The result of the reaction clarified by the appearance of blue color in the sensor detection zone is received by a portable scanner, while also calculating its intensity by image analysis software. This method is sensitive to hydrogen peroxide in the concentration range of 0.5‒240 mg/dL, providing a detection limit of 0.15 mg/dL. The ability of the sensor to determine glucose is also evaluated by adding a layer containing glucose oxidase enzyme to the sensor structure. A desirable response is obtained in the range of 1.0‒160 mg/dL, together with a detection limit of 0.37 mg/dL. Accordingly, the proposed sensor shows satisfactory results compared to clinical methods for monitoring the amount of glucose in biological samples such as serum and saliva.