Evidence map›Paper›PMID 36310114›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

On-Site Quantification and Infection Risk Assessment of Airborne SARS-CoV-2 Virus Via a Nanoplasmonic Bioaerosol Sensing System in Healthcare Settings.

Guangyu Qiu, Martin Spillmann, Jiukai Tang, Yi-Bo Zhao, Yile Tao, Xiaole Zhang, Heike Geschwindner, Lanja Saleh, Walter Zingg, Jing Wang

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 23 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Guangyu QiuInstitute of Environmental Engineering, ETH Zürich, Zürich, 8093, Switzerland.
Martin SpillmannInstitute of Environmental Engineering, ETH Zürich, Zürich, 8093, Switzerland.
Jiukai TangInstitute of Environmental Engineering, ETH Zürich, Zürich, 8093, Switzerland.
Yi-Bo ZhaoInstitute of Environmental Engineering, ETH Zürich, Zürich, 8093, Switzerland.
Yile TaoInstitute of Environmental Engineering, ETH Zürich, Zürich, 8093, Switzerland.
Xiaole ZhangInstitute of Environmental Engineering, ETH Zürich, Zürich, 8093, Switzerland.
Heike GeschwindnerNursing Research and Science, Senior Health Centres of the City of Zurich, Zurich, Switzerland.
Lanja SalehInstitute of Clinical Chemistry, University Hospital Zurich, University of Zurich, Zurich, 8091, Switzerland.
Walter ZinggClinic for Infectious Diseases and Hospital Hygiene, University Hospital of Zurich, Zurich, 8091, Switzerland.
Jing WangInstitute of Environmental Engineering, ETH Zürich, Zürich, 8093, Switzerland.ORCID 0000-0003-2078-137X
ETH Zurich · CHDepartment of Health Canton of Zurich · CHShanghai Jiao Tong University · CNUniversity Hospital of Zurich · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

On-site quantification and early-stage infection risk assessment of airborne severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with high spatiotemporal resolution is a promising approach for mitigating the spread of coronavirus disease 2019 (COVID-19) pandemic and informing life-saving decisions. Here, a condensation (hygroscopic growth)-assisted bioaerosol collection and plasmonic photothermal sensing (CAPS) system for on-site quantitative risk analysis of SARS-CoV-2 virus-laden aerosols is presented. The CAPS system provided rapid thermoplasmonic biosensing results after an aerosol-to-hydrosol sampling process in COVID-19-related environments including a hospital and a nursing home. The detection limit reached 0.25 copies/µL in the complex aerosol background without further purification. More importantly, the CAPS system enabled direct measurement of the SARS-CoV-2 virus exposures with high spatiotemporal resolution. Measurement and feedback of the results to healthcare workers and patients via a QR-code are completed within two hours. Based on a dose-responseµ model, it is used the plasmonic biosensing signal to calculate probabilities of SARS-CoV-2 infection risk and estimate maximum exposure durations to an acceptable risk threshold in different environmental settings.

Indexed as

COVID-19SARS-CoV-2HumansPandemicsRespiratory Aerosols and DropletsRisk Assessmentairborne transmissionbioaerosolsbiosensorscoronavirusCOVID-19plasmonicsrisk assessment

Identifiers

PMID36310114
PMCPMC9762303
OpenAlexW4307676110

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.