Evidence map›Paper›PMID 39123839›Full record

ArticleSensors (Basel, Switzerland)2024

Thin-Film Transistor Digital Microfluidics Circuit Design with Capacitance-Based Droplet Sensing.

Shengzhe Jiang, Chang Li, Jiping Du, Dongping Wang, Hanbin Ma, Jun Yu, Arokia Nathan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Innovative Advances in Droplet Microfluidics.Research (Washington, D.C.) · 2025
    Review
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.

Shengzhe JiangSchool of Information Science and Engineering, Shandong University, Qingdao 266237, China.
Chang LiSchool of Information Science and Engineering, Shandong University, Qingdao 266237, China.
Jiping DuSchool of Information Science and Engineering, Shandong University, Qingdao 266237, China.
Dongping WangSchool of Information Science and Engineering, Shandong University, Qingdao 266237, China.
Hanbin MaCAS Key Laboratory of Bio-Medical Diagnostics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou 215163, China.
Jun YuSchool of Information Science and Engineering, Shandong University, Qingdao 266237, China.ORCID 0000-0001-7153-231X
Arokia NathanSchool of Information Science and Engineering, Shandong University, Qingdao 266237, China.

Funding

Natural Science Foundation of Shandong Province ZR2022QF145the Major Scientific and Technological Innovation Project in Shandong Province 2022CXGC010504
6 · The paper itself

Abstract

With the continuous expansion of pixel arrays in digital microfluidics (DMF) chips, precise droplet control has emerged as a critical issue requiring detailed consideration. This paper proposes a novel capacitance-based droplet sensing system for thin-film transistor DMF. The proposed circuit features a distinctive inner and outer dual-pixel electrode structure, integrating droplet driving and sensing functionalities. Discharge occurs exclusively at the inner electrode during droplet sensing, effectively addressing droplet perturbation in existing sensing circuits. The circuit employs a novel fan-shaped structure of thin-film transistors. Simulation results show that it can provide a 48 V pixel voltage and demonstrate a sensing voltage difference of over 10 V between deionized water and silicone oil, illustrating its proficiency in droplet driving and accurate sensing. The stability of threshold voltage drift and temperature was also verified for the circuit. The design is tailored for integration into active matrix electrowetting-on-dielectric (AM-EWOD) chips, offering a novel approach to achieve precise closed-loop control of droplets.

Indexed as

active matrixcapacitance sensingdigital microfluidicsdroplet position sensingthin-film transistor

Identifiers

PMID39123839
PMCPMC11314903

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.