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使用 Arduino 开发用于监测神经母细胞瘤细胞中多巴胺能反应的生物电生物传感器的概念验证

Proof-of-Concept Development of a Bioelectric Biosensor Using Arduino for Monitoring Dopaminergic Response in Neuroblastoma Cells.

作者信息

Pappa Magdalene, Kintzios Spyridon

机构信息

Laboratory of Cell Technology, Department of Biotechnology, Agricultural University of Athens, Iera Odos 75, 11855 Athens, Greece.

出版信息

Micromachines (Basel). 2025 Aug 19;16(8):951. doi: 10.3390/mi16080951.

DOI:10.3390/mi16080951
PMID:40872458
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12388106/
Abstract

This study presents the proof-of-concept design and preliminary implementation of a bioelectric biosensor based on an Arduino platform for real-time monitoring of gel-immobilized N2a neuroblastoma cells using dopamine as a model neurotransmitter. The sensor operates on the principle of bioelectric recognition assay (BERA), and uses a two-electrode set-up as a simple, cost-efficient way to capture electrophysiological responses following dopamine exposure, while at the same time mimicking the in vivo cellular environment. Cellular ohmic resistance was assessed under increasing dopamine concentrations and temperatures (24 °C and 37 °C). The results showed that temperature significantly affected cell responses to increasing dopamine concentrations, possibly because of differences in dopamine diffusion in gel, which may in turn have affected membrane polarization and overall cell electric resistance. Pending further testing against a wider range of dopamine concentrations along with various dopamine agonists/antagonists, as well as optimization in terms of specificity, selectivity, and sensitivity, the biosensor could be applied in bioscreening and neuropharmacological studies in a user-friendly, scalable way.

摘要

本研究展示了一种基于Arduino平台的生物电生物传感器的概念验证设计及初步实现,该传感器以多巴胺作为模型神经递质,用于实时监测凝胶固定的N2a神经母细胞瘤细胞。该传感器基于生物电识别分析(BERA)原理运行,采用双电极设置,作为一种简单、经济高效的方式来捕获多巴胺暴露后的电生理反应,同时模拟体内细胞环境。在多巴胺浓度增加以及温度为24℃和37℃的条件下评估细胞欧姆电阻。结果表明,温度显著影响细胞对多巴胺浓度增加的反应,这可能是由于多巴胺在凝胶中的扩散差异所致,进而可能影响膜极化和整体细胞电阻。在针对更广泛的多巴胺浓度以及各种多巴胺激动剂/拮抗剂进行进一步测试,并在特异性、选择性和灵敏度方面进行优化之前,该生物传感器可通过用户友好、可扩展的方式应用于生物筛选和神经药理学研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/385df6b07961/micromachines-16-00951-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/43293fa7c20e/micromachines-16-00951-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/8d8deb61da73/micromachines-16-00951-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/f35e3d310966/micromachines-16-00951-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/39c77701fc27/micromachines-16-00951-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/b0c3d41ea6ca/micromachines-16-00951-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/385df6b07961/micromachines-16-00951-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/43293fa7c20e/micromachines-16-00951-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/8d8deb61da73/micromachines-16-00951-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/f35e3d310966/micromachines-16-00951-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/39c77701fc27/micromachines-16-00951-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/b0c3d41ea6ca/micromachines-16-00951-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3434/12388106/385df6b07961/micromachines-16-00951-g006.jpg

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