Enzyme Immobilization by Inkjet Printing on Reagentless Biosensors for Electrochemical Phosphate Detection.

enzyme immobilization inkjet printing phosphate detection reagentless biosensor screen-printed electrode

Journal

Biosensors
ISSN: 2079-6374
Titre abrégé: Biosensors (Basel)
Pays: Switzerland
ID NLM: 101609191

Informations de publication

Date de publication:
30 Mar 2024
Historique:
received: 16 01 2024
revised: 23 03 2024
accepted: 26 03 2024
medline: 26 4 2024
pubmed: 26 4 2024
entrez: 26 4 2024
Statut: epublish

Résumé

Enzyme-based biosensors commonly utilize the drop-casting method for their surface modification. However, the drawbacks of this technique, such as low reproducibility, coffee ring effects, and challenges in mass production, hinder its application. To overcome these limitations, we propose a novel surface functionalization strategy of enzyme crosslinking via inkjet printing for reagentless enzyme-based biosensors. This method includes printing three functional layers onto a screen-printed electrode: the enzyme layer, crosslinking layer, and protective layer. Nanomaterials and substrates are preloaded together during our inkjet printing. Inkjet-printed electrodes feature a uniform enzyme deposition, ensuring high reproducibility and superior electrochemical performance compared to traditional drop-casted ones. The resultant biosensors display high sensitivity, as well as a broad linear response in the physiological range of the serum phosphate. This enzyme crosslinking method has the potential to extend into various enzyme-based biosensors through altering functional layer components.

Identifiants

pubmed: 38667161
pii: bios14040168
doi: 10.3390/bios14040168
pii:
doi:

Substances chimiques

Enzymes, Immobilized 0
Phosphates 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Shenzhen Science and Technology Program
ID : JCYJ20210324123202008
Organisme : Shenzhen Science and Technology Program
ID : JCYJ20210324115412035
Organisme : Shenzhen Science and Technology Program
ID : JCYJ20210324122803009
Organisme : Shenzhen Science and Technology Program
ID : ZDSYS20210813095534001
Organisme : Basic and Applied Basic Research Program of Guangdong Province
ID : 2021A1515110880
Organisme : Basic and Applied Basic Research Program of Guangdong Province
ID : 2023A1515012752

Auteurs

Dongxing Zhang (D)

Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Yesun Industry Zone, Guanlan Street, Shenzhen 518110, China.

Yang Bai (Y)

Department of Biomedical Engineering, Western University, 1151 Richmond Street, London, ON N6A 3K7, Canada.

Haoran Niu (H)

Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Yesun Industry Zone, Guanlan Street, Shenzhen 518110, China.

Lingyun Chen (L)

Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Yesun Industry Zone, Guanlan Street, Shenzhen 518110, China.

Junfeng Xiao (J)

Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Yesun Industry Zone, Guanlan Street, Shenzhen 518110, China.

Qiuquan Guo (Q)

Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Yesun Industry Zone, Guanlan Street, Shenzhen 518110, China.

Peipei Jia (P)

Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Yesun Industry Zone, Guanlan Street, Shenzhen 518110, China.

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Classifications MeSH