Evidence map›Paper›PMID 42774580›Full record

ArticleHardwareX2026

An open-source, modular optoelectrical sensor for on-chip flow characterization in droplet-based microfluidics.

Daniel Solano, José Isabel Gómez-Quiñones, Sergio Camacho-Leon

Abstract read
In one paragraph

Article in HardwareX, 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

3 authors.

Daniel SolanoTecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501 Sur, Col. Tecnologico, Monterrey, Nuevo Leon, 64700, Mexico.
José Isabel Gómez-QuiñonesTecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501 Sur, Col. Tecnologico, Monterrey, Nuevo Leon, 64700, Mexico.
Sergio Camacho-LeonTecnologico de Monterrey, School of Engineering and Sciences, Ave. Eugenio Garza Sada 2501 Sur, Col. Tecnologico, Monterrey, Nuevo Leon, 64700, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Droplet-based microfluidics has become a leading technology for Lab-on-Chip applications, from single-cell analysis and nanoparticle synthesis to clinical diagnostics. In these applications, accurate measurement of droplet length, volume, velocity, and monodispersity is critical for reliable operation. Despite recent advances, the routine characterization of these parameters still relies on high-speed cameras, microscopes, and off-chip post-processing, limiting portability, autonomy, and field deployment. To address these limitations, this work presents an open-source, cost-effective, embedded optoelectrical sensor platform built from off-the-shelf components. The platform performs multiparameter droplet characterization on-chip in two sequential firmware stages, with all signal conditioning and analysis executed on an Arduino-Zero microcontroller. The system integrates two custom PCB sensing modules: a light-dependent-resistor (LDR) array for droplet velocity, and a TSL2561 photodiode for length, volume, and monodispersity. Both are illuminated by a dedicated light-source PCB and housed in a 3D-printed alignment enclosure that hosts a replaceable PMMA flow-focusing chip. We provide complete documentation, including build instructions, embedded firmware, and example applications. The resulting modular, equipment-free architecture supports the development of Lab-on-PCB systems for rapid prototyping of autonomous, droplet-based microfluidic devices.

Indexed as

Droplet sensingEmbedded systemsFlow-focusingLab-on-PCBMonodispersity

Identifiers

PMID42774580
PMCPMC13594945

What Socratic holds

Textmetadata
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 Socratic graph.