Evidence map›Paper›PMID 37222069›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Direct Quantitation of SARS-CoV-2 Virus in Urban Ambient Air via a Continuous-Flow Electrochemical Bioassay.

Fuze Jiang, Bei Liu, Yang Yue, Yile Tao, Zhen Xiao, Meng Li, Zheng Ji, Jiukai Tang, Guangyu Qiu, Martin Spillmann and 3 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

13 authors at 4 institutions in 2 countries.

Fuze JiangInstitute of Environmental Engineering, ETH Zürich, Zürich, CH-8093, Switzerland.
Bei LiuInstitute of Environmental Engineering, ETH Zürich, Zürich, CH-8093, Switzerland.
Yang YueInstitute of Environmental Engineering, ETH Zürich, Zürich, CH-8093, Switzerland.
Yile TaoInstitute of Environmental Engineering, ETH Zürich, Zürich, CH-8093, Switzerland.
Zhen XiaoInstitute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.
Meng LiZurich Instruments AG, Zürich, CH-8005, Switzerland.
Zheng JiInstitute of Environmental Engineering, ETH Zürich, Zürich, CH-8093, Switzerland.
Jiukai TangInstitute of Environmental Engineering, ETH Zürich, Zürich, CH-8093, Switzerland.
Guangyu QiuInstitute of Environmental Engineering, ETH Zürich, Zürich, CH-8093, Switzerland.
Martin SpillmannInstitute of Environmental Engineering, ETH Zürich, Zürich, CH-8093, Switzerland.
Junji CaoInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
Lianjun ZhangInstitute of Systems Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, China.
Jing WangInstitute of Environmental Engineering, ETH Zürich, Zürich, CH-8093, Switzerland.ORCID 0000-0003-2078-137X
ETH Zurich · CHChinese Academy of Medical Sciences & Peking Union Medical College · CNChinese Academy of Sciences · CNHarbin Institute of Technology · CN

Funding

Swiss National Science Foundation
6 · The paper itself

Abstract

Airborne SARS-CoV-2 virus surveillance faces challenges in complicated biomarker enrichment, interferences from various non-specific matters and extremely low viral load in the urban ambient air, leading to difficulties in detecting SARS-CoV-2 bioaerosols. This work reports a highly specific bioanalysis platform, with an exceptionally low limit-of-detection (≤1 copy m

Indexed as

Coronavirus 229E, HumanCOVID-19HumansParticulate MatterSARS-CoV-2Signal TransductionParticulate Matterbioassayelectrochemical biocircuitSARS-CoV-2 bioaerosolssignal amplificationurban ambient air

Identifiers

PMID37222069
PMCPMC10401087
OpenAlexW4377939815

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.