Evidence map›Paper›PMID 42006804›Full record

ArticleRSC advances2026

Self-powered piezoelectric microfluidic flow sensor for low-flow monitoring of metal-ion solutions.

Yunzheng Zhang, Tao Wang, Jun Zheng, Wenjin Luo, Zhangjun Lan, Binyou Xie, Shushu Chen, Xinming Xia, Liuhua Mu, Jie Jiang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RSC advances, 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

12 authors.

Yunzheng ZhangCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University Hangzhou 311300 China fanyan503@zafu.edu.cn.
Tao WangSchool of Physical Science and Technology, Ningbo University Ningbo 315211 China jiangjie1@nbu.edu.cn.
Jun ZhengCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University Hangzhou 311300 China fanyan503@zafu.edu.cn.
Wenjin LuoCollege of Physics Science and Technology, Yangzhou University Jiangsu 225009 China.
Zhangjun LanNoncommissioned Officer Academy of PAP Hangzhou 311400 China.
Binyou XieCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University Hangzhou 311300 China fanyan503@zafu.edu.cn.
Shushu ChenSchool of Physical Science and Technology, Ningbo University Ningbo 315211 China jiangjie1@nbu.edu.cn.
Xinming XiaCollege of Physics Science and Technology, Yangzhou University Jiangsu 225009 China.
Liuhua MuSchool of Physical Science and Technology, Ningbo University Ningbo 315211 China jiangjie1@nbu.edu.cn.
Jie JiangSchool of Physical Science and Technology, Ningbo University Ningbo 315211 China jiangjie1@nbu.edu.cn.ORCID https://orcid.org/0009-0002-0363-4386
Yan FanCollege of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University Hangzhou 311300 China fanyan503@zafu.edu.cn.
Liang ChenSchool of Physical Science and Technology, Ningbo University Ningbo 315211 China jiangjie1@nbu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microfluidic technology enables precise manipulation of fluids at the microscale, where accurate flow velocity measurement is crucial for controlling mass transport, ion migration, and electrochemical responses. However, existing pressure sensors mainly respond to high-frequency dynamics or require external excitation, which limits stable detection under low-frequency or low-flow conditions. Here, we present a self-powered piezoelectric microfluidic flow sensor that detects flow rates as low as ∼3 µL min

Identifiers

PMID42006804
PMCPMC13085997

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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.