Evidence map›Paper›PMID 35594835›Full record

ArticleTalanta2022

Sensitive SARS-CoV-2 detection in wastewaters using a carbon nanodot-amplified electrochemiluminescence immunosensor.

Tamara Guerrero-Esteban, Cristina Gutiérrez-Sánchez, Ana M Villa-Manso, Mónica Revenga-Parra, Félix Pariente, Encarnación Lorenzo

Abstract read
In one paragraph

Article in Talanta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Immunoproteomics for wastewater-based health surveillance: A review.Environmental science and ecotechnology · 2025
    Review
  3. Article
  4. Review
  5. 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

6 authors.

Tamara Guerrero-EstebanDepartamento de Química Analítica y Análisis Instrumental, Spain.
Cristina Gutiérrez-SánchezDepartamento de Química Analítica y Análisis Instrumental, Spain. Electronic address: encarnacion.lorenzo@uam.es.
Ana M Villa-MansoDepartamento de Química Analítica y Análisis Instrumental, Spain.
Mónica Revenga-ParraDepartamento de Química Analítica y Análisis Instrumental, Spain; Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, 28049, Madrid, Spain; IMDEA-Nanociencia, Ciudad Universitaria de Cantoblanco, 28049, Madrid, Spain.
Félix ParienteDepartamento de Química Analítica y Análisis Instrumental, Spain; Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, 28049, Madrid, Spain.
Encarnación LorenzoDepartamento de Química Analítica y Análisis Instrumental, Spain; Institute for Advanced Research in Chemical Sciences (IAdChem), Universidad Autónoma de Madrid, Ciudad Universitaria de Cantoblanco, 28049, Madrid, Spain; IMDEA-Nanociencia, Ciudad Universitaria de Cantoblanco, 28049, Madrid, Spain. Electronic address: cristina.gutierrezs@uam.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the great utility that having fast, efficient and cost-effective methods for the detection of SARS-CoV-2 in wastewater can have in controlling the pandemic caused by this virus, the development of new dependable and specific SARS-CoV-2 coronavirus sensing devices to be applied to wastewater is essential to promote public health interventions. Therefore, herein we propose a new method to detect SARS-CoV-2 in wastewater based on a carbon nanodots-amplified electrochemiluminescence immunosensor for the determination of the SARS-CoV-2 Spike S1 protein. For the construction of the immunosensor, N-rich carbon nanodots have been synthetized with a double function: to contribute as amplifiers of the electrochemiluminescent signal in presence of [Ru(bpy)

Indexed as

Biosensing TechniquesCOVID-19CarbonHumansImmunoassaySARS-CoV-2WastewaterCarbonWastewaterCOVID-19ElectrochemiluminescenceImmunosensorSARS-CoV-2 spike S1 proteinWastewater

Identifiers

PMID35594835
PMCPMC9101780

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.