Evidence map›Paper›PMID 35582002›Full record

ArticleIEEE transactions on instrumentation and measurement2021

SenSARS: A Low-Cost Portable Electrochemical System for Ultra-Sensitive, Near Real-Time, Diagnostics of SARS-CoV-2 Infections.

Sammy A Perdomo, Viviana Ortega, Andres Jaramillo-Botero, Nelson Mancilla, Jose Hernando Mosquera-DeLaCruz, Drochss Pettry Valencia, Mauricio Quimbaya, Juan David Contreras, Gabriel Esteban Velez, Oscar A Loaiza and 2 more

Abstract read
In one paragraph

Article in IEEE transactions on instrumentation and measurement, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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.

Sammy A PerdomoFacultad de Ingeniería y CienciasPontificia Universidad Javeriana Cali 760031 Colombia.ORCID https://orcid.org/0000-0001-5802-2702
Viviana OrtegaFacultad de Ciencias Naturales y ExactasUniversidad del Valle Cali 760032 Colombia.ORCID https://orcid.org/0000-0001-7927-6082
Andres Jaramillo-BoteroChemistry and Chemical Engineering DivisionCalifornia Institute of Technology Pasadena CA 91125 USA.ORCID https://orcid.org/0000-0003-2844-0756
Nelson MancillaFacultad de Ingeniería y CienciasPontificia Universidad Javeriana Cali 760031 Colombia.ORCID https://orcid.org/0000-0003-3295-5939
Jose Hernando Mosquera-DeLaCruzFacultad de Ingeniería y CienciasPontificia Universidad Javeriana Cali 760031 Colombia.ORCID https://orcid.org/0000-0002-9324-1692
Drochss Pettry ValenciaFacultad de Ingeniería y CienciasPontificia Universidad Javeriana Cali 760031 Colombia.ORCID https://orcid.org/0000-0002-9364-8134
Mauricio QuimbayaFacultad de Ingeniería y CienciasPontificia Universidad Javeriana Cali 760031 Colombia.ORCID https://orcid.org/0000-0003-2631-270X
Juan David ContrerasFacultad de Ingeniería y CienciasPontificia Universidad Javeriana Cali 760031 Colombia.ORCID https://orcid.org/0000-0002-0409-4337
Gabriel Esteban VelezFacultad de Ciencias NaturalesUniversidad ICESI Cali 760031 Colombia.ORCID https://orcid.org/0000-0001-8063-0747
Oscar A LoaizaFacultad de Ingeniería y CienciasPontificia Universidad Javeriana Cali 760031 Colombia.ORCID https://orcid.org/0000-0002-6289-9248
Adriana GomezFacultad de Ingeniería y CienciasPontificia Universidad Javeriana Cali 760031 Colombia.ORCID https://orcid.org/0000-0002-3106-1397
Jhonattan de la RocheFacultad de Ingeniería y CienciasPontificia Universidad Javeriana Cali 760031 Colombia.ORCID https://orcid.org/0000-0003-3131-3096

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A critical path to solving the SARS-CoV-2 pandemic, without further socioeconomic impact, is to stop its spread. For this to happen, pre- or asymptomatic individuals infected with the virus need to be detected and isolated opportunely. Unfortunately, there are no current ubiquitous (i.e., ultra-sensitive, cheap, and widely available) rapid testing tools capable of early detection of SARS-CoV-2 infections. In this article, we introduce an accurate, portable, and low-cost medical device and bio-nanosensing electrode dubbed SenSARS and its experimental validation. SenSARS' device measures the electrochemical impedance spectra of a disposable bio-modified screen-printed carbon-based working electrode (SPCE) to the changes in the concentration of SARS-CoV-2 antigen molecules ("S" spike proteins) contained within a sub-microliter fluid sample deposited on its surface. SenSARS offers real-time diagnostics and viral load tracking capabilities. Positive and negative control tests were performed in phosphate-buffered saline (PBS) at different concentrations (between 1 and 50 fg/mL) of SARS-CoV-2(S), Epstein-Barr virus (EBV) glycoprotein gp350, and Influenza H1N1 M1 recombinant viral proteins. We demonstrate that SenSARS is easy to use, with a portable and lightweight (< 200 g) instrument and disposable test electrodes (<U.S. [Formula: see text]5), capable of fast diagnosis (~10 min), with high analytical sensitivity (low limits of detection, LOD = 1.065 fg/mL, and quantitation, LOQ = 3.6 fg/mL) and selectivity to SARS-CoV-2(S) antigens, even in the presence of structural proteins from the other pathogens tested. SenSARS provides a potential path to pervasive rapid diagnostics of SARS-CoV-2 in clinical, point-of-care, and home-care settings, and to breaking the transmission chain of this virus. Medical device compliance testing of SenSARS to EIC-60601 technical standards is underway.

Indexed as

Biosensorselectrochemical biosensorselectrochemical impedance spectroscopy (EIS)SARS-CoV-2

Identifiers

PMID35582002
PMCPMC8843068

What OpenQuestion holds

Textmetadata
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.