Evidence map›Paper›PMID 40769376›Full record

ArticleJournal of advanced research2026

Intelligent microfluidic device for multiplex detection and prompt warning of upper and lower respiratory tract infections.

Shijue Gao, Lei Wang, Meng Zhao, Yujie Xiang, Xi Yang, Yanwen Xiong, Jialei Bai, Tie Han, Zifan Yang, Hongyi Li and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of advanced research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Shijue GaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Lei WangDaxing Research Institute, University of Science and Technology Beijing, Beijing 100083, China.
Meng ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Yujie XiangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Xi YangNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Yanwen XiongNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Jialei BaiMilitary Medical Sciences Academy, Tianjin 300050, China.
Tie HanMilitary Medical Sciences Academy, Tianjin 300050, China.
Zifan YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Hongyi LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Xiaona LyuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Linqing ZhaoDepartment of Virology, Capital Institute of Pediatrics, Beijing 100020, China.
Yu SunDepartment of Virology, Capital Institute of Pediatrics, Beijing 100020, China.
Xiyang WuDepartment of Food Science and Engineering, Jinan University, Guangzhou 510632, China.
Xinxin ShenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China. Electronic address: x616815@126.com.
Xuejun MaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, NHC Key Laboratory of Medical Virology and Viral Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China. Electronic address: maxj@ivdc.chinacdc.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe increasing incidence and co-infection rates of multiple respiratory diseases have emphasized the necessity for efficient and reliable multiplex diagnostic methods for respiratory pathogens.

objectiveThis study aims to develop a multiplex diagnostic tool for monitoring and early warning of respiratory infections.

methodsA portable, centrifugal and highly integrated microfluidic device based on real-time recombinase-aided amplification (RAA) assays capable of specifically identifying 15 common respiratory pathogens was developed. Its point-of-care application was validated using simulated swabs and sputum spiked with 15 pathogens. A total of 427 collected samples were employed to assess its clinical performance, in parallel with traditional extraction kits and RT-qPCR/qPCR assays. Additionally, the feasibility of its connected monitoring and early warning platform was validated across 22 scenarios in 8 cities of mainland China.

resultsThis device successfully facilitated sample-to-answer diagnostics by automating nucleic acid extraction, real-time RAA, fluorescence detection and wireless data transmission. Compared with conventional methods, this device has obvious advantages in the turnaround time (30 min for swabs and 60 min for sputum) and the detectable targets/types in a single test. The lowest detection limits of this device were 0.1 TCID

conclusionThis device provides an intelligent, portable, rapid, and sensitive platform for early diagnosis of multiple pathogens, particularly in resource-limited settings.

Indexed as

Lab-On-A-Chip DevicesRespiratory Tract InfectionsChinaHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPoint-of-Care SystemsSputumMicrofluidic chipMultiplexed detectionNucleic acid extractionRecombinase-aided amplificationRespiratory pathogens

Identifiers

PMID40769376
PMCPMC13131397

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.