Evidence map›Paper›PMID 41577741›Full record

ArticleScientific reports2026

Complementary metal-oxide-semiconductor (CMOS) time of evaporation measurement system for binary chemical monitoring.

Ebrahim Ghafar-Zadeh, Saghi Forouhi, Hamed Osouli Tabrizi, Abbas Panahi, Yasaman Tahernezhad, Azadeh Amrollahi Biyouki

Abstract read
In one paragraph

Article in Scientific reports, 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

6 authors.

Ebrahim Ghafar-ZadehBiologically Inspired Sensors and Actuators Laboratory (BioSA Lab), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada. egz@yorku.ca.
Saghi ForouhiDivision of Electronics and Computer Engineering (ELDA), Department of Electrical Engineering (ISY), Linköping University, 581 83, Linköping, Sweden. saghi.forouhi@liu.se.
Hamed Osouli TabriziBiologically Inspired Sensors and Actuators Laboratory (BioSA Lab), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.
Abbas PanahiBiologically Inspired Sensors and Actuators Laboratory (BioSA Lab), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.
Yasaman TahernezhadBiologically Inspired Sensors and Actuators Laboratory (BioSA Lab), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.
Azadeh Amrollahi BiyoukiBiologically Inspired Sensors and Actuators Laboratory (BioSA Lab), Department of Electrical Engineering and Computer Science, Lassonde School of Engineering, York University, Toronto, ON, M3J1P3, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate, real-time analysis of binary liquid mixtures is essential in chemical sensing, especially for miniaturized, low-cost applications. We present a complementary metal-oxide-semiconductor (CMOS)-based platform-ITEMS (Integrated Time-of-Evaporation Measurement System)-designed to monitor binary mixtures via high-resolution capacitive sensing of evaporation dynamics. ITEMS employs an integrated capacitive sensor to detect time-resolved dielectric changes during droplet evaporation under controlled temperatures. By extracting features such as intermediate evaporation time (Δt₂), total evaporation time (ToE), and capacitance variation (ΔCap), ITEMS provides multidimensional insights into solvent composition. We validated the system across ethanol-water, methanol-water, and methanol-ethanol mixtures, with concentrations from 0 to 100% and temperatures between 25 °C and 60 °C. Our analysis reveals that evaporation time and dielectric response exhibit nonlinear dependencies on solvent concentration, particularly at elevated temperatures. Comparative modeling using linear regression and LOESS confirms LOESS's superiority in capturing these trends, yielding lower Root Mean Square Error (RMSE) values across all datasets. The CMOS integration enables compact packaging, low sample volume requirements (< 1 μL), and direct digital interfacing via a microcontroller and graphical user interface (GUI). These results establish ITEMS as a robust, scalable platform for high-sensitivity, real-time chemical composition monitoring in environmental, biomedical, and industrial applications.

Indexed as

Binary liquid mixturesChemical analysisCMOS capacitive sensorDielectric sensingLOESS modelingPortable diagnosticsTime-of-evaporation

Identifiers

PMID41577741
PMCPMC12887047

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.