Evidence map›Paper›PMID 37489943›Full record

ArticleACS applied materials & interfaces2023

Development of Nanobody-Displayed Whole-Cell Biosensors for the Colorimetric Detection of SARS-CoV-2.

Yawen He, Zhiyuan Xu, Tom Kasputis, Xue Zhao, Itati Ibañez, Florencia Pavan, Marina Bok, Juan Pablo Malito, Viviana Parreno, Lijuan Yuan and 2 more

Open access · greenAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. EngineeringMicroorganisms · 2026
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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

12 authors at 3 institutions in 2 countries.

Yawen HeDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Zhiyuan XuDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Tom KasputisDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0003-0772-0599
Xue ZhaoDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.
Itati IbañezInstituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE), CONICET Universidad de Buenos Aires, Buenos Aires 1428, Argentina.
Florencia PavanInstituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE), CONICET Universidad de Buenos Aires, Buenos Aires 1428, Argentina.
Marina BokIncuinta, Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Virología e Innovaciones Tecnológicas, INTA-Consejo Nacional de Investigaciones Científicas y Técnicas (IVIT, INTA-CONICET), Castelar, Buenos Aires 1712, Argentina.
Juan Pablo MalitoIncuinta, Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Virología e Innovaciones Tecnológicas, INTA-Consejo Nacional de Investigaciones Científicas y Técnicas (IVIT, INTA-CONICET), Castelar, Buenos Aires 1712, Argentina.
Viviana ParrenoIncuinta, Instituto Nacional de Tecnología Agropecuaria (INTA), Instituto de Virología e Innovaciones Tecnológicas, INTA-Consejo Nacional de Investigaciones Científicas y Técnicas (IVIT, INTA-CONICET), Castelar, Buenos Aires 1712, Argentina.
Lijuan YuanDepartment of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Tech, Blacksburg, Virginia 24061, United States.
R Clay WrightDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0001-7125-3943
Juhong ChenDepartment of Biological Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States.ORCID 0000-0002-6484-2739
Virginia Tech · USConsejo Nacional de Investigaciones Científicas y Técnicas · ARVirginia–Maryland College of Veterinary Medicine · US

Funding

Novel Approaches to detect and treat sepsisR35GM147069 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI Juhong Chen · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147069
6 · The paper itself

Abstract

The accurate and effective detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential to preventing the spread of infectious diseases and ensuring human health. Herein, a nanobody-displayed whole-cell biosensor was developed for colorimetric detection of SARS-CoV-2 spike proteins. Serving as bioreceptors, yeast surfaces were genetically engineered to display SARS-CoV-2 binding of llama-derived single-domain antibodies (nanobodies) with high capture efficiency, facilitating the concentration and purification of SARS-CoV-2. Gold nanoparticles (AuNPs) employed as signal transductions were functionalized with horseradish peroxidase (HRP) and anti-SARS monoclonal antibodies to enhance the detection sensitivity. In the presence of SARS-CoV-2 spike proteins, the sandwiched binding will be formed by linking engineered yeast, SARS-CoV-2 spike proteins, and reporter AuNPs. The colorimetric signal was generated by the enzymatic reaction of HRP and its corresponding colorimetric substrate/chromogen system. At the optimal conditions, the developed whole-cell biosensor enables the sensitive detection of SARS-CoV-2 spike proteins in a linear range from 0.01 to 1 μg/mL with a limit of detection (LOD) of 0.037 μg/mL (about 4 × 10

Indexed as

COVID-19Metal NanoparticlesColorimetryGoldHorseradish PeroxidaseHumansSaccharomyces cerevisiaeSARS-CoV-2Spike Glycoprotein, CoronavirusGoldHorseradish PeroxidaseSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2colorimetric detectionengineered yeastgold nanoparticlenanobodySARS-CoV-2whole-cell biosensor

Identifiers

PMID37489943
PMCPMC11216949
OpenAlexW4385231209

What OpenQuestion holds

Textmetadata
LicenceTDM
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.