Evidence map›Paper›PMID 35884326›Full record

ArticleBiosensors2022

SARS-CoV-2 Surveillance in Indoor Air Using Electrochemical Sensor for Continuous Monitoring and Real-Time Alerts.

Fei Lu, Ozhan Gecgel, Ashwin Ramanujam, Gerardine G Botte

Abstract read
In one paragraph

Article in Biosensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Fei LuChemical and Electrochemical Technology and Innovation (CETI) Laboratory, Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA.
Ozhan GecgelChemical and Electrochemical Technology and Innovation (CETI) Laboratory, Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA.
Ashwin RamanujamChemical and Electrochemical Technology and Innovation (CETI) Laboratory, Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA.ORCID 0000-0002-2155-0437
Gerardine G BotteChemical and Electrochemical Technology and Innovation (CETI) Laboratory, Department of Chemical Engineering, Texas Tech University, Lubbock, TX 79409, USA.ORCID 0000-0002-5678-6669

Funding

Defense Advanced Research Projects Agency HR00112190063
6 · The paper itself

Abstract

The severe acute respiratory syndrome related coronavirus 2 (SARS-CoV-2) has spread globally and there is still a lack of rapid detection techniques for SARS-CoV-2 surveillance in indoor air. In this work, two test rigs were developed that enable continuous air monitoring for the detection of SARS-CoV-2 by sample collection and testing. The collected samples from simulated SARS-CoV-2 contaminated air were analyzed using an ultra-fast COVID-19 diagnostic sensor (UFC-19). The test rigs utilized two air sampling methods: cyclone-based collection and internal impaction. The former achieved a limit of detection (LoD) of 0.004 cp/L in the air (which translates to 0.5 cp/mL when tested in aqueous solution), lower than the latter with a limit of 0.029 cp/L in the air. The LoD of 0.5 cp/mL using the UFC-19 sensor in aqueous solution is significantly lower than the best-in-class assays (100 cp/mL) and FDA EUA RT-PCR test (6250 cp/mL). In addition, the developed test rig provides an ultra-fast method to detect airborne SARS-CoV-2. The required time to test 250 L air is less than 5 min. While most of the time is consumed by the air collection process, the sensing is completed in less than 2 s using the UFC-19 sensor. This method is much faster than both the rapid antigen (<20 min) and RT-PCR test (<90 min).

Indexed as

Air Pollution, IndoorCOVID-19HumansLimit of DetectionSARS-CoV-2Sensitivity and Specificityair samplingcontinuous air monitoringelectrochemical SARS-CoV-2 sensorrapid detection techniqueSARS-CoV-2 air collectionSARS-CoV-2 surveillance

Identifiers

PMID35884326
PMCPMC9312472

What OpenQuestion holds

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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.