A new electrochemical biosensor for hydrogen peroxide using silver nanoparticles

(Nanowerk News) Researchers succeeded in the production of a new type of sensitive hydrogen peroxide biosensor with appropriate level of detection and high level of repeatability.
In this research ("A new electrochemical biosensor for hydrogen peroxide using HRP/AgNPs/cysteamine/p-ABSA/GCE self-assembly modified electrode"), the layer-by-layer self-assembly technology was used to produce the biosensor by laying emphasis on the electrocatalytic properties of silver nanoparticles in order to minimize human error in the similar works. Therefore, an electrochemical method was used in this research.
All layering stages are carried out automatically in the procedure of biosensor production. Therefore, in addition to its very high limit of detection (approximately 10 nanomolar for the concentration of hydrogen peroxide), the production of biosensor yields homogenous responses due to the elimination of human errors every time the sensor is produced through self-assembly method. Moreover, the produced sensor has relatively higher level of stability in comparison with other existing sensors.
The biosensor response is at the range of 1.2-9.8 micromolar at optimized conditions.
The concentration range of this compound is linear in the majority of real samples. The limit of detection is calculated to be around 10 nanomolar through this method. The effect of temperature and pH on the type of biosensor response was studied as well. The response of the produced biosensor to hydrogen peroxide in the presence of seven types of interrupting electroactive species was investigated. Results showed that the presence of such materials did not affect the measurement, which implies to the selectivity of the biosensor.tach a fluorescent marker to the modified site, or a molecular “eye” that can be used to attach the rare hydroxymethylcytosine-containing DNA fragments to “hooks” that allow the fragments to be enriched over unmodified fragments, enabling rapid sequence analysis.
Source: INIC
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