| Autor: |
Reddy, T. Vasudeva, Geetha, H., Torres-Cruz, Fred, Dixit, Chandra Kumar, Saxena, Jyoti, Patil, Pandurang Y. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2603 Issue 1, p1-7, 7p |
| Abstrakt: |
In this work, we have accounted a silver nano-cluster for colorimetric glucose biosensors. The characterization of silver nano-cluster was accomplished using SEM, UV-spectra and Raman spectra. The silver nano-cluster has successfully catalysis the process of oxidation using TMB, 3,3′,5,5′-tetramethylbenzidine in the existence of hydrogen peroxidase and this has demonstrated an outstanding peroxidase like activity. The UV absorption spectra expose a peak at 651 nm and the silver nano-cluster's peroxidase activity was validated. The colorimetric sensing mechanism was recognized by electron transfer process. Silver nano-cluster and glucose oxidase is the base for colorimetric bio-sensor and it has illustrated excellent sensitivity and selectivity for the recognition of glucose. The synthesized glucose biosensor showed a good linearity for glucose in a range of 0.020 to 80.0 µM with a detection limit of 40.0 nM. The peroxidase mimic has been successfully validated for analysing different concentration of glucose samples. The machine learning approach has supported the effective monitoring of glucose at low concentration. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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