Evidence map›Paper›PMID 42399250›Full record

ArticleNature communications2026

Sub-parts-per-billion CO

Shujing Ruan, Guangzhen Gao, Jianing Zhang, Haotian Wang, Dongxing Cheng, Jun Guo, Chuanyong Ren, Weidong Chen, Deyuan Shen, Tingdong Cai

Abstract read
In one paragraph

Article in Nature communications, 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

10 authors.

Shujing Ruan *College of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China.ORCID http://orcid.org/0009-0001-7395-5946
Guangzhen Gao *College of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China.
Jianing Zhang *College of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China.
Haotian WangCollege of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China. wanghaotian@jsnu.edu.cn.ORCID http://orcid.org/0000-0001-8426-5783
Dongxing ChengCollege of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China.
Jun GuoCollege of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China.
Chuanyong RenCollege of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China.
Weidong ChenLaboratoire de Physicochimie de l'Atmosphère, Université du Littoral Côte d'Opale 189A, 59140, Dunkerque, France.ORCID http://orcid.org/0000-0001-6141-1039
Deyuan ShenCollege of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China.
Tingdong CaiCollege of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China. caitingdong@126.com.ORCID http://orcid.org/0000-0001-5722-5276

Funding

Basic Research Program of Jiangsu Province BK20251926National Natural Science Foundation of China (National Science Foundation of China) 42275136National Natural Science Foundation of China (National Science Foundation of China) 62275110National Natural Science Foundation of China (National Science Foundation of China) 62305136
6 · The paper itself

Abstract

Whispering gallery mode microcavities provide strong light-matter interactions owing to their ultrahigh optical confinement, but the small gas refractive index change limits their ability to sense trace gases. Here we show that gas absorption can be detected using a dissipative sensing mechanism in a non-functionalized whispering gallery mode microcavity. Instead of tracking resonance frequency shifts used in conventional dispersive sensing, our method converts optical absorption into variations in resonance depth through thermally induced dissipation. Quantitative carbon dioxide detection was achieved over a concentration range of 1.5 to 400 parts per million with a correlation coefficients exceeding 0.99. The sensor reached a detection limit of 168 parts per trillion at an integration time of 400 seconds and an accuracy of approximately 0.4%. Continuous monitoring further demonstrated stable operation under ambient conditions. These results establish dissipative microcavity sensing as a promising approach for compact, low-cost, and highly sensitive trace gas detection.

Identifiers

PMID42399250
PMCPMC13473595

What OpenQuestion holds

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Registered trials

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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.