Evidence map›Paper›PMID 38965802›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

A Prototype of Graphene E-Nose for Exhaled Breath Detection and Label-Free Diagnosis of Helicobacter Pylori Infection.

Xuemei Liu, Qiaofen Chen, Shiyuan Xu, Jiaying Wu, Jingwen Zhao, Zhengfu He, Aiwu Pan, Jianmin Wu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

8 authors.

Xuemei LiuLab of Nanomedicine and Omic-based Diagnostics, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China.
Qiaofen ChenLab of Nanomedicine and Omic-based Diagnostics, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China.
Shiyuan XuLab of Nanomedicine and Omic-based Diagnostics, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China.
Jiaying WuLab of Nanomedicine and Omic-based Diagnostics, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China.
Jingwen ZhaoLab of Nanomedicine and Omic-based Diagnostics, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China.
Zhengfu HeDepartment of Thoracic Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, 310016, China.
Aiwu PanDepartment of Internal Medicine, The Second Affiliated Hospital of Zhejiang University, Hangzhou, 310003, China.
Jianmin WuLab of Nanomedicine and Omic-based Diagnostics, Institute of Analytical Chemistry, Department of Chemistry, Zhejiang University, Hangzhou, 310058, China.ORCID 0000-0002-0999-9194

Funding

Key Research and Development Program of Zhejiang Province 2021C03124National Natural Science Foundation of China 22274138National Natural Science Foundation of China 22374130Natural Science Foundation of Zhejiang Province LTGY23B050003
6 · The paper itself

Abstract

Helicobacter pylori (HP), a common microanaerobic bacteria that lives in the human mouth and stomach, is reported to infect ≈50% of the global population. The current diagnostic methods for HP are either invasive, time-consuming, or harmful. Therefore, a noninvasive and label-free HP diagnostic method needs to be developed urgently. Herein, reduced graphene oxide (rGO) is composited with different metal-based materials to construct a graphene-based electronic nose (e-nose), which exhibits excellent sensitivity and cross-reactive response to several gases in exhaled breath (EB). Principal component analysis (PCA) shows that four typical types of gases in EB can be well discriminated. Additionally, the potential of the e-nose in label-free detection of HP infection is demonstrated through the measurement and analysis of EB samples. Furthermore, a prototype of an e-nose device is designed and constructed for automatic EB detection and HP diagnosis. The accuracy of the prototype machine integrated with the graphene-based e-nose can reach 92% and 91% in the training and validation sets, respectively. These results demonstrate that the highly sensitive graphene-based e-nose has great potential for the label-free diagnosis of HP and may become a novel tool for non-invasive disease screening and diagnosis.

Indexed as

Breath TestsElectronic NoseGraphiteHelicobacter InfectionsHelicobacter pyloriExhalationHumansPrincipal Component Analysisgraphene oxideGraphitee‐nose prototypeexhaled breath diagnosisgas sensorsgraphene oxideHelicobacter pylori

Identifiers

PMID38965802
PMCPMC11425842

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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.