Evidence map›Paper›PMID 42615642›Full record

ArticleACS chemical neuroscience2026

Flexible Multimodal Neural Probe with Integrated Three-Electrode Aptameric Sensing for In Vivo Monitoring of Dopamine Dynamics and Neural Activity.

Szu-Ying Li, Yun-Ting Kuo, Sheng-Huang Lin, Shun-An Kan, Bo-Wei Chen, Ssu-Ju Li, Ching-Wen Chang, Han-Lin Wang, Yu-Chun Lo, You-Yin Chen

Abstract read
In one paragraph

Article in ACS chemical neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Szu-Ying LiDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, No.155, Sec.2, Linong St., Taipei City112304, Taiwan.
Yun-Ting KuoDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, No.155, Sec.2, Linong St., Taipei City112304, Taiwan.
Sheng-Huang LinDepartment of Neurology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, No. 707, Sec. 3, Zhongyang Rd., Hualien City97002, Taiwan.
Shun-An KanDepartment of Education, Taipei Veterans General Hospital, No.201, Sec. 2, Shipai Rd., Taipei City11217, Taiwan.
Bo-Wei ChenDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, No.155, Sec.2, Linong St., Taipei City112304, Taiwan.
Ssu-Ju LiDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, No.155, Sec.2, Linong St., Taipei City112304, Taiwan.ORCID 0000-0001-9686-058X
Ching-Wen ChangDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, No.155, Sec.2, Linong St., Taipei City112304, Taiwan.
Han-Lin WangDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, No.155, Sec.2, Linong St., Taipei City112304, Taiwan.
Yu-Chun LoPh.D. Program in Medical Neuroscience, College of Medical Science and Technology, Taipei Medical University, 12F., Education & Research Building, Shuang-Ho Campus, No. 301, Yuantong Rd., New Taipei City23564, Taiwan.
You-Yin ChenDepartment of Biomedical Engineering, National Yang Ming Chiao Tung University, No.155, Sec.2, Linong St., Taipei City112304, Taiwan.ORCID 0000-0003-4869-3857

Funding

National Science and Technology Council NSTC-113-2221-E-A49-015-MY2National Science and Technology Council NSTC-114-2321-B-A49-014National Science and Technology Council NSTC-114-2622-8-A49-008-TE2National Science and Technology Council NSTC-114-2622-E-A49-023National Science and Technology Council NSTC-115-2622-8-A49-008-TE2
6 · The paper itself

Abstract

Neural function emerges from the interplay between electrical activity and neurochemical signaling, yet most implantable neural interfaces primarily record electrophysiological signals and lack molecular specificity for neurotransmitter monitoring. Here, we developed a flexible multimodal neural probe integrating an on-chip three-electrode electrochemical aptamer sensor with electrophysiological recording sites for combined monitoring of extracellular dopamine (DA) dynamics and neuronal activity. Fabrication of the electrochemical interface was systematically optimized by controlling gold nanostructure (AuNS) electrodeposition from 0.50 to 0.70 V. Electrodeposition at 0.65 V provided the best balance between increased electrochemically active surface area (ECSA), surface morphology, fabrication reproducibility, and electrical isolation, yielding an approximately 4.7-fold ECSA enhancement with a probe-to-probe coefficient of variation (CV%) of 2.02%. A methylene blue-labeled DA aptamer was assembled onto the AuNS working electrodes for sequence-specific molecular recognition, while integrated Ag/AgCl reference and nanostructured platinum counter electrodes completed the on-chip sensing system. Electrochemical impedance analysis further demonstrated reproducible interfacial characteristics following stepwise functionalization. The electrophysiological electrodes exhibited a mean impedance of 366.02 ± 18.63 kΩ at 1 kHz with an interprobe CV% of 5.09%. Square-wave voltammetry frequency was experimentally optimized from 10 to 200 Hz, with 100 Hz providing the best balance between analytical response, background current, and reproducibility. Under optimized conditions, the sensor demonstrated sequence-specific DA recognition, selectivity against electroactive interferents, and an experimentally determined detection limit of 10 fM. Two absolute linear response regions were identified at 0.5-10 pM (R2 = 0.9945) and 0.5-10 nM (R2 = 0.9949), while the broader detectable concentration range extended from 10 fM to 1 μM. Flow-injection and brain-phantom experiments demonstrated reversible DA sensing. In acute rat caudate-putamen experiments, intravenous nomifensine induced DA-associated electrochemical responses accompanied by increased neuronal firing and γ/high-γ local field potential activity, supporting this platform for acute multimodal neurochemical and electrophysiological interrogation in vivo.

Indexed as

Aptamers, NucleotideBiosensing TechniquesDopamineNeuronsAnimalsElectrochemical TechniquesElectrodesGoldLocal Field Potential MeasurementMaleRatsRats, Sprague-DawleyAptamers, NucleotideDopamineGolddopamine sensingelectrochemical aptamer sensorflexible microelectrode arrayintegrated three-electrode neural probein vivo neurochemistrymultimodal neurochemical and electrophysiological recording

Identifiers

PMID42615642
PMCPMC13495676

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.