Evidence map›Paper›PMID 41590282›Full record

ArticleBiosensors2026

Toothbrush-Driven Handheld Droplet Generator for Digital LAMP and Rapid CFU Assays.

Xiaochen Lai, Yong Zhu, Mingpeng Yang, Xicheng Wang

Abstract read
In one paragraph

Article in Biosensors, 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

4 authors.

Xiaochen LaiSchool of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Yong ZhuSchool of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Mingpeng YangSchool of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.ORCID 0000-0001-8181-0248
Xicheng WangSchool of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Droplet microfluidics enables high-throughput, compartmentalized reactions using minimal reagent volumes, but most implementations rely on precision-fabricated chips and external pumping systems that limit portability and accessibility. Here, we present a handheld vibrational droplet generator that repurposes a consumer electric toothbrush and a modified disposable pipette tip to produce nearly monodisperse water-in-oil droplets without microfluidic channels or syringe pumps. The device is powered by the toothbrush's built-in motor and controlled by a simple 3D-printed adapter and adjustable counterweight that tune the vibration amplitude transmitted to the pipette tip. By varying the aperture of the pipette tip, droplets with diameters from ~100-300 µm were generated at rates of ~100 droplets s

Indexed as

ToothbrushingAnimalsMicrofluidicsMolecular Diagnostic TechniquesNucleic Acid Amplification Techniquesdigital assayhandheld droplet generatorsample dispersion

Identifiers

PMID41590282
PMCPMC12838574

What OpenQuestion holds

Textmetadata
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.