Evidence map›Paper›PMID 41556447›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

A Sensitive Thermoelectric Respiratory Sensor Using a Hollow-Square Structure of Cubic Silicon Carbide-Based Heterojunction.

Thi Lap Tran, Duy Van Nguyen, The Lai Khanh, Thien Hoang, Toan Trong Tran, Pingan Song, Nam-Trung Nguyen, Dzung Viet Dao, John Bell, Ravinesh C Deo and 1 more

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

11 authors.

Thi Lap TranSchool of Engineering, University of Southern Queensland, Springfield Central, Queensland, Australia.
Duy Van NguyenSchool of Engineering, University of Southern Queensland, Springfield Central, Queensland, Australia.
The Lai KhanhSchool of Engineering, University of Southern Queensland, Springfield Central, Queensland, Australia.
Thien HoangSchool of Engineering, University of Southern Queensland, Springfield Central, Queensland, Australia.
Toan Trong TranSchool of Electrical and Data Engineering, University of Technology Sydney, Ultimo, New South Wales, Australia.
Pingan SongSchool of Engineering, University of Southern Queensland, Springfield Central, Queensland, Australia.
Nam-Trung NguyenQueensland Quantum and Advanced Technologies Research Institute, Griffith University, Brisbane, Queensland, Australia.
Dzung Viet DaoSchool of Engineering and Built Environment, Griffith University, Gold Coast, Queensland, Australia.
John BellCentre for Future Materials, University of Southern Queensland, Springfield Central, Queensland, Australia.
Ravinesh C DeoSchool of Mathematics, Physics and Computing, University of Southern Queensland, Springfield Central, Queensland, Australia.
Toan DinhSchool of Engineering, University of Southern Queensland, Springfield Central, Queensland, Australia.ORCID https://orcid.org/0000-0002-7489-9640

Funding

Australian Research Council DP220101252Australian Research Council DP240102230Queensland Department of Environment, Science and Innovation under the Quantum 2032 Challenge Program Q2032010
6 · The paper itself

Abstract

Respiratory rates play a crucial role in health assessment and rehabilitation. However, current respiratory monitoring devices often rely on metal- or polymer-based sensors, and skin-mounted electronics, face challenges such as low sensitivity, limited durability/stability, and substantial power demands in complex respiratory environments. Herein, we introduce innovations in design and fabrication of a hollow-square cubic silicon carbide (3C-SiC)-based self-powered sensor, which operates via the Seebeck effect in 3C-SiC/Si heterojunction, for respiratory rate monitoring. Through manipulating thermal transport, this design significantly enhances airflow sensing performance, yielding a thermal voltage output approximately 3.5 times higher than that of conventional solid structures. The sensor exhibits remarkable repeatability and durability, maintaining stable voltage responses across 1000 airflow testing cycles. Moreover, elevated temperatures drive a transition from conventional Seebeck effect in a single semiconductor layer to heterojunction-driven effects, resulting in a higher thermal voltage and enabling further sensor optimization under high-temperature environments. By integrating this hollow-square 3C-SiC sensor into a functional mask, the sensor enables real-time monitoring respiratory rate of workers in hot environments. An integrated alarm system provides alerts to the users in response to sudden changes in their respiratory rates, offering a reliable and practical tool for continuous health surveillance of workers in high-temperature environments.

Indexed as

3C‐SiCheterojunctionhollow‐square structuretemperature gradientthermal resistance

Identifiers

PMID41556447
PMCPMC12994552

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.