Evidence map›Paper›PMID 40572074›Full record

ArticleMicroorganisms2025

Assess the Variability and Robustness of an Aluminum-Based Adsorption-Precipitation Method for Virus Detection in Wastewater Samples.

Lorena Casado-Martín, Marta Hernández, José M Eiros, Antonio Valero, David Rodríguez-Lázaro

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Lorena Casado-MartínMicrobiology Area, University of Burgos, Plaza Misael Bañuelos s/n, 09001 Burgos, Spain.ORCID 0000-0003-4417-6887
Marta HernándezMicrobiology Area, Faculty of Medicine, University of Valladolid, 47002 Valladolid, Spain.ORCID 0000-0001-6914-9987
José M EirosMicrobiology Area, Faculty of Medicine, University of Valladolid, 47002 Valladolid, Spain.ORCID 0000-0002-5357-6340
Antonio ValeroDepartment of Food Science and Technology, UIC Zoonosis y Enfermedades Emergentes (ENZOEM), CeiA3, Universidad de Córdoba, Campus Rabanales, 14014 Córdoba, Spain.
David Rodríguez-LázaroMicrobiology Area, University of Burgos, Plaza Misael Bañuelos s/n, 09001 Burgos, Spain.ORCID 0000-0002-8795-854X

Funding

Consejería de Educación, Junta de Castilla y León ORDEN EDU/601/2020Junta de Castilla y León BU220P24Ministerio de Ciencia, Innovación y Universidades PID2021-123532OB-C31
6 · The paper itself

Abstract

Wastewater-based molecular epidemiology enables the surveillance of both symptomatic and asymptomatic individuals in a non-invasive, cost-effective, rapid, and early-detection manner. The use of wastewater analysis to monitor the prevalence of viral pathogens in a given population has increased significantly since the COVID-19 pandemic. These studies typically involve three main steps: viral concentration, nucleic acid extraction, and DNA/RNA quantification. However, the absence of a standardized methodology remains a major limitation, hindering result comparability across studies. Among the available viral concentration techniques, aluminum-based adsorption-precipitation is one of the most commonly used due to its simplicity, efficiency, and low cost. This study evaluates the robustness and variability of the viral concentration and nucleic acid extraction steps by implementing different process controls in wastewater samples across 122 independent experiments. Additionally, correlations between viral recovery efficiencies and relevant physicochemical parameters were also analyzed (

Indexed as

aluminum-based adsorption–precipitationepidemiologyone healthquality controlvirus surveillancewastewater

Identifiers

PMID40572074
PMCPMC12195461

What OpenQuestion holds

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Registered trials

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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.