Evidence map›Paper›PMID 40862936›Full record

ArticleBiosensors2025

A Microfluidic Chip-Based Integrated Device Combining Aerosol Sampling and LAMP-CRISPR Detection for Airborne Virus Surveillance.

Anlan Zhang, Yuqing Chang, Wen Li, Yuanbao Zhang, Yuqian Wang, Haohan Xie, Tao Zuo, Yu Zhang, Jiyu Xi, Xin Wu and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2025. 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. Review
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

12 authors.

Anlan ZhangSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Yuqing ChangBeijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China.
Wen LiSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Yuanbao ZhangBeijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China.
Yuqian WangBeijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China.
Haohan XieBeijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China.
Tao ZuoBeijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China.
Yu ZhangSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Jiyu XiSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Xin WuSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Zewen WeiSchool of Medical Technology, Beijing Institute of Technology, Beijing 100081, China.
Rui ChenBeijing Key Laboratory of Occupational Safety and Health, Institute of Urban Safety and Environmental Science, Beijing Academy of Science and Technology, Beijing 100054, China.ORCID 0000-0002-6488-6133

Funding

Beijing Academy of Science and Technology Financial Program 25CB001-11Beijing Natural Science Foundation 7254467Frontier Interdisciplinary Innovation Project of Beijing Institute of Technology 2023CX11011National High Technology Research and Development Program of China 2022YFC2403301National Natural Science Foundation of China 62074016, 82371075 and U2468225
6 · The paper itself

Abstract

Detecting airborne viruses using an integrated aerosol sampling detection device is of great significance in epidemic prevention and control. Most of the applicable aerosol samplers have a flow rate of less than 1000 L/min, which is insufficient for application in large public spaces. Recent research, on the other hand, has revealed the advantages of microfluidic chip-based LAMP-CRISPR in airborne virus detection; however, this promising detection method has yet to be integrated with an aerosol sampler. Herein, we present an aerosol sampling and microfluidic chip-based detection (ASMD) device that couples a high-flow-rate aerosol sampling (HFAS) system with a microfluidic LAMP-CRISPR detection (MLCD) chip for surveilling airborne viruses, as represented by SARS-CoV-2. The HFAS system achieved a 6912 L/min flow rate while retaining a satisfactory collection efficiency, and achieved an enrichment ratio of 1.93 × 10

Indexed as

Air MicrobiologyLab-On-A-Chip DevicesNucleic Acid Amplification TechniquesSARS-CoV-2AerosolsCOVID-19Environmental MonitoringHumansMolecular Diagnostic TechniquesAerosolsairborne virusbioaerosolCRISPR/Cas12aintegrated deviceloop-mediated isothermal amplificationmicrofluidic chip

Identifiers

PMID40862936
PMCPMC12384654

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.