Urease-Powered Micromotors with Spatially Selective Distribution of Enzymes for Capturing and Sensing Exosomes.

driving module enzymatic micromotors flow field functional module spatially distribution

Journal

ACS nano
ISSN: 1936-086X
Titre abrégé: ACS Nano
Pays: United States
ID NLM: 101313589

Informations de publication

Date de publication:
12 Dec 2023
Historique:
pubmed: 1 12 2023
medline: 1 12 2023
entrez: 1 12 2023
Statut: ppublish

Résumé

Enzyme-catalyzed micro/nanomotors (MNMs) exhibit tremendous potential for biological isolation and sensing, because of their biocompatibility, versatility, and ready access to biofuel. However, flow field generated by enzyme-catalyzed reactions might significantly hinder performance of surface-linked functional moieties, e.g., the binding interaction between MNMs and target cargos. Herein, we develop enzymatic micromotors with spatially selective distribution of urease to enable the independent operation of various modules and facilitate the capture and sensing of exosomes. When urease is modified into the motors' cavity, the flow field from enzyme catalysis has little effect on the exterior surface of the motors. The active motion and encapsulating urease internally result in enhancement of ∼35% and 18% in binding efficiency of target cargos, e.g., exosomes as an example here, compared to their static counterparts and moving micromotors with urease modified externally, respectively. Once exosomes are trapped, they can be transferred to a clean environment by the motors for Raman signal detection and/or identification using the surface Raman enhancement scattering (SERS) effect of coated gold nanoshell. The biocatalytic micromotors, achieving spatial separation between driving module and function module, offer considerable promise for future design of multifunctional MNMs in biomedicine and diagnostics.

Identifiants

pubmed: 38038995
doi: 10.1021/acsnano.3c10405
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

24343-24354

Auteurs

Xiaoxia Liu (X)

School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Guangdong, Shenzhen 518055, China.
Sauvage Laboratory for Smart Materials, Harbin Institute of Technology (Shenzhen), Guangdong, Shenzhen 518055, China.

Yong Wang (Y)

Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, China.

Yixin Peng (Y)

School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Guangdong, Shenzhen 518055, China.

Jinjin Shi (J)

School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou 450001, China.

Wenjun Chen (W)

School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Guangdong, Shenzhen 518055, China.
Sauvage Laboratory for Smart Materials, Harbin Institute of Technology (Shenzhen), Guangdong, Shenzhen 518055, China.

Wei Wang (W)

School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Guangdong, Shenzhen 518055, China.

Xing Ma (X)

School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Guangdong, Shenzhen 518055, China.
Sauvage Laboratory for Smart Materials, Harbin Institute of Technology (Shenzhen), Guangdong, Shenzhen 518055, China.

Classifications MeSH