Functional‐Nanochannel‐Based Artificial Postsynaptic Membrane for Neural Signal Transduction

Abstract Biological‐machine interface (BMI) devices represent a significant step toward adaptive and cognitive technologies. However, current BMI devices emphasize the analysis of electrophysiology and often overlook the chemical information of neurotransmitters in the process of signaling between neurons. To bridge this gap, a light‐gated artificial postsynaptic membrane (APM) is introduced, capable of reading dopamine (DA) released from rat pheochromocytoma cells and regulate neural signal transmission. Like the biological postsynaptic membrane, the APM is a porous membrane functionalized by DA‐specific aptamers and azobenzene (Azo) molecules in different regions. Azo molecules act as a light‐responsive trigger that controls DA release, while DA‐specific aptamers capture DA, which converts its concentration information into an ionic current signal. By light‐enhanced responses to DA exocytosis from rat pheochromocytoma (PC12) cells, the APM confirms its ability to communicate with biological systems, which lays the foundation for developing biological‐machine interaction systems with more advanced functionalities.

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Publication Details

Journal
Advanced Functional Materials
Published
2024-08-09
DOI
https://doi.org/10.1002/adfm.202410597
Citations
8
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.67

Funders

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article

Functional‐Nanochannel‐Based Artificial Postsynaptic Membrane for Neural Signal Transduction

Kai Xiao, Minghui Wu, Senyao Wang, Tingting Mei et al.
8 citations
Advanced Functional Materials
Advanced Memory and Neural Computing
1.67
article

Functional‐Nanochannel‐Based Artificial Postsynaptic Membrane for Neural Signal Transduction

Kai Xiao, Minghui Wu, Senyao Wang, Tingting Mei, Yitian Wu, Wenyuan Zhang, Wenchao Liu, Chen Lü, Guoheng Xu
article en
8 citations

Abstract

Abstract Biological‐machine interface (BMI) devices represent a significant step toward adaptive and cognitive technologies. However, current BMI devices emphasize the analysis of electrophysiology and often overlook the chemical information of neurotransmitters in the process of signaling between neurons. To bridge this gap, a light‐gated artificial postsynaptic membrane (APM) is introduced, capable of reading dopamine (DA) released from rat pheochromocytoma cells and regulate neural signal transmission. Like the biological postsynaptic membrane, the APM is a porous membrane functionalized by DA‐specific aptamers and azobenzene (Azo) molecules in different regions. Azo molecules act as a light‐responsive trigger that controls DA release, while DA‐specific aptamers capture DA, which converts its concentration information into an ionic current signal. By light‐enhanced responses to DA exocytosis from rat pheochromocytoma (PC12) cells, the APM confirms its ability to communicate with biological systems, which lays the foundation for developing biological‐machine interaction systems with more advanced functionalities.

Advanced Functional MaterialsVol. 34(52)
Shenzhen Polytechnic University (CN), Southern University of Science and Technology (CN), Technical University of Munich (DE)
National Natural Science Foundation of China
Openalex Percentile: Top 16%
Advanced Memory and Neural Computing
1.67
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Functional‐Nanochannel‐Based Artificial Postsynaptic Membrane for Neural Signal Transduction — Kai Xiao, Minghui Wu, et al. · Advanced Functional Materials (2024) | TGRS Research Map | TGRS