Evidence map›Paper›PMID 35350181›Full record

ArticleFrontiers in bioengineering and biotechnology2022

Online Accurate Detection of Breath Acetone Using Metal Oxide Semiconductor Gas Sensor and Diffusive Gas Separation.

Hao Dong, Libin Qian, Yaoxuan Cui, Xubin Zheng, Chen Cheng, Qingpeng Cao, Feng Xu, Jin Wang, Xing Chen, Di Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. 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
0.8field-weighted citation impact, top 33% of its field
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, 10 citations in OpenAlex.

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

10 authors at 2 institutions in 1 country.

Hao DongIntelligent Perception Research Institute, Zhejiang Lab, Hangzhou, China.
Libin QianIntelligent Perception Research Institute, Zhejiang Lab, Hangzhou, China.
Yaoxuan CuiIntelligent Perception Research Institute, Zhejiang Lab, Hangzhou, China.
Xubin ZhengIntelligent Perception Research Institute, Zhejiang Lab, Hangzhou, China.
Chen ChengIntelligent Perception Research Institute, Zhejiang Lab, Hangzhou, China.
Qingpeng CaoIntelligent Perception Research Institute, Zhejiang Lab, Hangzhou, China.
Feng XuIntelligent Perception Research Institute, Zhejiang Lab, Hangzhou, China.
Jin WangIntelligent Perception Research Institute, Zhejiang Lab, Hangzhou, China.
Xing ChenKey Laboratory for Biomedical Engineering of Education Ministry of China, Zhejiang University, Hangzhou, China.
Di WangIntelligent Perception Research Institute, Zhejiang Lab, Hangzhou, China.
Zhejiang Lab · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breath acetone (BrAce) level is an indicator of lipid oxidation rate, which is crucial for evaluating the status of ketoacidosis, ketogenic diet, and fat burning during exercise. Despite its usefulness, detecting BrAce accurately is challenging because exhaled breath contains an enormous variety of compounds. Although many sensors and devices have been developed for BrAce measurement, most of them were tested with only synthetic or spiked breath samples, and few can detect low concentration BrAce in an online manner, which is critical for extending application areas and the wide acceptance of the technology. Here, we show that online detection of BrAce can be achieved using a metal oxide semiconductor acetone sensor. The high accuracy measurement of low concentration BrAce was enabled by separating major interference gases utilizing their large diffusion coefficients, and the accuracy is further improved by the correction of humidity effect. We anticipate that the approach can push BrAce measurement closer to being useful for various applications.

Indexed as

acetonebreath analysisdiffusive gas separationketogenic dietMOS sensor

Identifiers

PMID35350181
PMCPMC8958005
OpenAlexW4220748821

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.