Evidence map›Paper›PMID 39997015›Full record

ArticleBiosensors2025

Equivalent Circuit Modeling and Analysis for Microfluidic Electrical Impedance Monitoring of Single-Cell Growth.

Yingying Wang, Haoran Wu, Yulu Geng, Zhao Zhang, Jiaming Fu, Jia Ouyang, Zhen Zhu

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Yingying WangSchool of Integrated Circuits, Southeast University, Wuxi Campus, Zhuangyuan Road 5, Wuxi 214000, China.
Haoran WuSchool of Integrated Circuits, Southeast University, Wuxi Campus, Zhuangyuan Road 5, Wuxi 214000, China.
Yulu GengSchool of Integrated Circuits, Southeast University, Wuxi Campus, Zhuangyuan Road 5, Wuxi 214000, China.
Zhao ZhangSchool of Integrated Circuits, Southeast University, Wuxi Campus, Zhuangyuan Road 5, Wuxi 214000, China.ORCID 0000-0002-9029-4967
Jiaming FuCollege of Chemical Engineering, Nanjing Forestry University, Longpan Road 159, Nanjing 210037, China.
Jia OuyangCollege of Chemical Engineering, Nanjing Forestry University, Longpan Road 159, Nanjing 210037, China.
Zhen ZhuSchool of Integrated Circuits, Southeast University, Wuxi Campus, Zhuangyuan Road 5, Wuxi 214000, China.ORCID 0000-0001-8984-6798

Funding

Fundamental Research Funds for Central Universities N/ANational Key R&D Program of China 2021YFF0701000National Natural Science Foundation of China 62474036Natural Science Foundation of Jiangsu Province BK20241752
6 · The paper itself

Abstract

Microfluidics has significantly advanced the field of single-cell analysis, particularly in studies related to cell growth, division, and heterogeneity. Electrical impedance spectroscopy (EIS), a label-free and non-invasive biosensing technique, has been integrated into microfluidic devices for high-throughput and long-term monitoring of single budding yeast cells. Accurate interpretation of EIS measurements of cell growth dynamics necessitates the establishment of theoretical equivalent circuit models for the single-cell sensing system. Here, we report on the development of equivalent circuit models of an in situ EIS sensing system to elucidate cell growth. Firstly, finite element modeling and simulation of an EIS measurement of cell growth in the EIS sensing unit were performed, guiding the fittings of electrical components for an established equivalent circuit model (ECM). From the ECM, we extracted an equivalent volume fraction applicable to various cell and sensing unit geometries to describe the geometry-dependent sensing characteristics corresponding to the electrical response in the model. Then, EIS measurements of an immobilized cell in a microfluidic device were conducted via peripheral circuits. A lumped parameter model for the entire EIS measurement system was established, with electrical components determined by fitting to experimental data. The rationality of the proposed theoretical model was validated through the long-term impedance variation induced by cell growth in experiments, demonstrating its feasibility in linking EIS data with the bio-physics underlying the experimental phenomenon.

Indexed as

Biosensing TechniquesMicrofluidicsSingle-Cell AnalysisDielectric SpectroscopyElectric ImpedanceSaccharomyces cerevisiaeelectrical impedance spectroscopyequivalent circuit modelmicroelectrode arraySaccharomyces cerevisiae

Identifiers

PMID39997015
PMCPMC11853229

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.