Evidence map›Paper›PMID 37754095›Full record

ArticleBiosensors2023

Wearable Biosensor with Molecularly Imprinted Conductive Polymer Structure to Detect Lentivirus in Aerosol.

Jaskirat Singh Batra, Ting-Yen Chi, Mo-Fan Huang, Dandan Zhu, Zheyuan Chen, Dung-Fang Lee, Jun Kameoka

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

0 citing papers in PubMed, 9 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 4 institutions in 2 countries.

Jaskirat Singh BatraDepartment of Materials Science and Engineering, Texas A&M University, College Station, TX 77840, USA.
Ting-Yen ChiDepartment of Materials Science and Engineering, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0002-8160-7239
Mo-Fan HuangDepartment of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0002-2209-1236
Dandan ZhuDepartment of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Zheyuan ChenDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Dung-Fang LeeDepartment of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA.ORCID 0000-0003-2387-597X
Jun KameokaDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-3479-354X
Texas A&M University · USThe University of Texas MD Anderson Cancer Center · USThe University of Texas Health Science Center at Houston · USWaseda University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease (COVID-19) pandemic has increased pressure to develop low-cost, compact, user-friendly, and ubiquitous virus sensors for monitoring infection outbreaks in communities and preventing economic damage resulting from city lockdowns. As proof of concept, we developed a wearable paper-based virus sensor based on a molecular imprinting technique, using a conductive polyaniline (PANI) polymer to detect the lentivirus as a test sample. This sensor detected the lentivirus with a 4181 TU/mL detection limit in liquid and 0.33% to 2.90% detection efficiency in aerosols at distances ranging from 30 cm to 60 cm. For fabrication, a mixture of a PANI monomer solution and virus were polymerized together to form a conductive PANI sensing element on a polyethylene terephthalate (PET) paper substrate. The sensing element exhibited formation of virus recognition sites after the removal of the virus via ultrasound sonication. A dry measurement technique was established that showed aerosol virus detection by the molecularly imprinted sensors within 1.5 h of virus spraying. This was based on the mechanism via which dispensing virus droplets on the PANI sensing element induced hybridization of the virus and molecularly imprinted virus recognition templates in PANI, influencing the conductivity of the PANI film upon drying. Interestingly, the paper-based virus sensor was easily integrated with a wearable face mask for the detection of viruses in aerosols. Since the paper sensor with molecular imprinting of virus recognition sites showed excellent stability in dry conditions for long periods of time, unlike biological reagents, this wearable biosensor will offer an alternative approach to monitoring virus infections in communities.

Indexed as

Biosensing TechniquesLentivirusMolecularly Imprinted PolymersWearable Electronic DevicesAerosolsAniline CompoundsCOVID-19Electric ConductivityHumansLimit of DetectionMolecular ImprintingPolymersSARS-CoV-2AerosolsAniline CompoundsMolecularly Imprinted PolymerspolyanilinePolymersconductive polymerlentivirusmolecular imprintingvirus sensorwearable paper sensor

Identifiers

PMID37754095
PMCPMC10527467
OpenAlexW4386324457

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.