• 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
Glucose Sensors Based on Chitosan Capped ZnS Doped Mn Nanomaterials.pdf (2.540Mb)
Date
2023-01-27
Author
Tran, Thi Mai
Nguyen, Hai Son
Vu, Thi Kim Phan
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, it has difficulty activating and stabilizing the enzyme. 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 nanoparticles’ interface. Hence, it is a strong candidate for electrochemical glucose sensing applications. This letter reports the impedance biosensor based on ZnS-doped Mn-capped chitosan nanomaterials and microinterdigitated electrodes. The glucose sensors’ high sensitivity, accuracy, and stability are obtained in the range of 2 to 10 mM. In addition, an application of the Canny edge detection to enhance the limit of detection is demonstrated using experimental data.
URI
https://vinspace.edu.vn/handle/VIN/288
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