Faradaic Counter for Liposomes Loaded with Potassium, Sodium Ions, or Protonated Dopamine.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
13 07 2021
Historique:
pubmed: 2 7 2021
medline: 22 7 2021
entrez: 1 7 2021
Statut: ppublish

Résumé

Collisional electrochemistry between single particles and a biomimetic polarized micro-liquid/liquid interface has emerged as a novel and powerful analytical method for measurements of single particles. Using this platform, rapid detection of liposomes at the single particle level is reported herein. Individual potassium, sodium, or protonated dopamine-encapsulated (pristine or protein-decorated) liposomes collide and fuse with the polarized micro-liquid/liquid interface accompanying the release of ions, which are recorded as spike-like current transients of stochastic nature. The sizing and concentration of the liposomes can be readily estimated by quantifying the amount of encapsulated ions in individual liposomes via integrating each current spike versus time and the spike frequency, respectively. We call this type of nanosensing technology "Faradaic counter". The estimated liposome size distribution by this method is in line with the dynamic light scattering (DLS) measurements, implying that the quantized current spikes are indeed caused by the collisions of individual liposomes. The reported electrochemical sensing technology may become a viable alternative to DLS and other commercial nanoparticle analysis systems, for example, nanoparticle tracking analysis.

Identifiants

pubmed: 34196181
doi: 10.1021/acs.analchem.1c01336
doi:

Substances chimiques

Ions 0
Liposomes 0
Sodium 9NEZ333N27
Potassium RWP5GA015D
Dopamine VTD58H1Z2X

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

9495-9504

Auteurs

Linhan Huang (L)

School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China.

Jingcheng Zhang (J)

School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China.

Zhipeng Xiang (Z)

Key Laboratory on Fuel Cell Technology of Guangdong Province, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, China.

Di Wu (D)

School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China.

Xinjian Huang (X)

Institute of Intelligent Perception, Midea Corporate Research Center, Foshan 528311, China.

Xizhe Huang (X)

School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China.

Zhenxing Liang (Z)

Key Laboratory on Fuel Cell Technology of Guangdong Province, School of Chemistry and Chemical Engineering, South China University of Technology, Guangzhou 510641, China.

Zhen-Yu Tang (ZY)

School of Pharmaceutical Science (Shenzhen), Sun Yat-sen University, Guangzhou 510275, China.

Haiqiang Deng (H)

School of Chemical Engineering and Technology, Sun Yat-sen University, Zhuhai 519082, China.

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Classifications MeSH