Evidence map›Paper›PMID 42796134›Full record

ArticleMicromachines2026

Plant Cell-on-Chip (PCOC): Exploring the Electrical Modulation Capability of Plant Cells.

Jiayu Li, Ruyu Zhou, Yuxiang Qin, Xiuyun Liu, Kewei Liu, Miao Yu, Xiang Ren

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

7 authors.

Jiayu LiDepartment of Microelectronics, Tianjin University, Tianjin 300072, China.
Ruyu ZhouDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA.ORCID 0000-0003-3586-0935
Yuxiang QinDepartment of Microelectronics, Tianjin University, Tianjin 300072, China.
Xiuyun LiuMedical School, Tianjin University, Tianjin 300072, China.
Kewei LiuThe Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Miao YuDepartment of Research and Development, Stedical Scientific, Carlsbad, CA 92010, USA.
Xiang RenDepartment of Microelectronics, Tianjin University, Tianjin 300072, China.ORCID 0000-0002-8882-6362

Funding

Autonomous Project of Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration 24HHNJSS00003Autonomous Project of Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration 24HHNJSS00005Autonomous Project of Haihe Laboratory of Brain-Computer Interaction and Human-Machine Integration 24HHNJSS00010National Key Research and Development Program of China 2025YFE0214400National Natural Science Foundation of China 81903058National Natural Science Foundation of China 82472098National Science Fund for Excellent Overseas Scholars 0401260011Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2024-JKCS-16Scientific Research Innovation Capability Support Project for Young Faculty ZYGXQNJSKYCXNLZCXM-H15Shenzhen Technology University JSZZ202301003the National Key Technologies Research and Development Program 2021YFF1200602Tianjin Natural Science Foundation Outstanding Youth Project 24JCJQJC00250Tianjin University 2024XJS-0054Tianjin University 2024XJS-0069
6 · The paper itself

Abstract

The intrinsic properties of plants offer numerous opportunities for scientific and technological advancement. Considerable efforts have been directed toward developing plant-on-chip platforms to investigate cellular responses to external stimuli, including chemical, mechanical, and electrical cues. In this study, we present a fluidic platform using polydimethylsiloxane (PDMS) and a printed circuit board (PCB), integrated with electrochemical impedance spectroscopy (EIS) detection. Various experimental conditions were examined, including ionic and pH stimulation, as well as membrane dimensions, with the onion inner membrane treated as a black-box system. The measurement results are presented as Nyquist plots, and a resistance model incorporating multifactorial influences is proposed. Impedance variations in plant cells serve as a basis for electrical modulation. To explore these properties, we converted acoustic signals into electrical inputs and recorded the outputs after being modulated by onion inner epidermal cells. A transfer function analysis was subsequently performed. Our results indicate that the plant cell-on-chip (PCOC) platform holds promise for further investigations into plant cell properties. The impedance results suggest that plant cells can respond to different external stimuli, enabling modulation of the electrical properties. These findings lay the groundwork for future studies on cellular electrical characteristics and the development of preliminary bioelectrical circuits.

Indexed as

electrochemical impedance spectroscopymicrofluidicsPlant Cell-on-Chip (PCOC)synthetic biology

Identifiers

PMID42796134
PMCPMC13609555

What OpenQuestion holds

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Registered trials

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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.