• English
    • Tiếng Việt
  • English 
    • English
    • Tiếng Việt
  • Login
View Item 
  •   VinSpace Home
  • The College of Engineering and Computer Science
  • Tran Thi Mai, PhD
  • View Item
  •   VinSpace Home
  • The College of Engineering and Computer Science
  • Tran Thi Mai, PhD
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Glucose sensors based on chitosan capped ZnS doped Mn nanomaterials

Thumbnail
View/Open
index.pdf (2.526Mb)
Date
2023-02
Author
Nguyen, Hai Son
Vu, Thi Kim Phan
Tran, Thi Mai
Metadata
Show full item record
Abstract
A typical glucose sensor is a glucose oxidase (GOx) enzyme-based sensor due to its high sensitivity and selectivity. However, activating and stabilizing the enzyme presents challenges. To enhance the stability of GOx-based sensors, chitosan is added to ZnS-doped Mn nanoparticles. Chitosan stabilizes the ZnS-doped Mn particles and can induce charge processes such as creation, transfer, and separation at the polymer interface and the nanoparticles' interface. Thus, it is a strong candidate for electrochemical glucose sensing applications. This letter reports on an impedance biosensor based on ZnS-doped Mn-capped chitosan nanomaterials and microinterdigitated electrodes. The glucose sensors demonstrated high sensitivity, accuracy, and stability in the concentration range of 2 to 10 mM. Additionally, the application of Canny edge detection was employed to enhance the limit of detection, as demonstrated using experimental data.
URI
https://vinspace.edu.vn/handle/VIN/458
Collections
  • Tran Thi Mai, PhD [10]

Contact Us | Send Feedback
 

 

Browse

All of VinSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister

Contact Us | Send Feedback