Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Testing Water Quality

Testing Water Quality

When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Hospital-Based Models of Immunization for High-Risk Subjects in Lombardy (Italy): A Region-Wide Assessment of Implementation and Progress.

Vaccines·2026

Same author

Invasive Pneumococcal Disease burden, clinical characteristics, serotypes' distribution, immunization status and antimicrobial resistance: Evidence from 12-year hospital-based surveillance and cost analysis.

Human vaccines & immunotherapeutics·2026

Same author

Imported case of avian influenza A(H9N2) virus infection in a patient with miliary tuberculosis, Italy, March 2026.

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin·2026

Same author

Adherence to HPV-Based Cervical Cancer Screening: A Concept Analysis for Nursing and Midwifery Practice.

Journal of multidisciplinary healthcare·2026

Same author

Inter-society consensus on the management of acute bloody diarrhea and shiga toxin-producing Escherichia coli infection in the molecular microbiology era.

Italian journal of pediatrics·2026

Same author

International Collaborative Study on Human Papillomavirus Analytical Thresholds for Sensitivity and Specificity in Cervical Screening.

Journal of medical virology·2026

Search research articles

Related Experiment Video

Updated: Jun 14, 2026

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

Evaluating Interlaboratory Variability in Wastewater-Based COVID-19 Surveillance.

Arianna Azzellino¹, Laura Pellegrinelli², Ramon Pedrini¹

¹Department of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milan, Italy.

|March 27, 2025

Summary

Interlaboratory testing of SARS-CoV-2 wastewater surveillance revealed analytical methods, not sample processing, caused data variability. Standard curves and wastewater plant size influenced results, highlighting the need for consistent analytical protocols.

Keywords:

SARS-CoV2 detection methods generalized linear models interlaboratory ring test wastewater environmental surveillance

More Related Videos

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration

Published on: March 17, 2023

Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics

Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics

Published on: July 19, 2024

Related Experiment Videos

Last Updated: Jun 14, 2026

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration

Published on: March 17, 2023

Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics

Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics

Published on: July 19, 2024

Area of Science:

Environmental science
Epidemiology
Molecular biology

Background:

Wastewater-based surveillance is crucial for monitoring SARS-CoV-2 population dynamics.
Global development of SARS-CoV-2 tracking workflows necessitates interlaboratory comparisons for data reliability.

Purpose of the Study:

To assess data consistency and identify variability sources in SARS-CoV-2 wastewater surveillance.
To evaluate interlaboratory performance using standardized methods.

Main Methods:

An inter-calibration test involving four laboratories analyzing SARS-CoV-2 in wastewater samples.
Utilized identical pre-analytical (PEG-8000 centrifugation) and analytical (qPCR) processes.
Applied two-way ANOVA and Bonferroni post hoc tests for statistical analysis.

Main Results:

The primary source of data variability was identified in the analytical phase.
Differences in laboratory standard curves for SARS-CoV-2 quantification and wastewater treatment plant size contributed to variability.
Interlaboratory comparisons are essential for verifying analytical consistency.

Conclusions:

Analytical phase variations, particularly standard curves, are key drivers of inconsistency in SARS-CoV-2 wastewater surveillance.
Standardizing analytical procedures and reference materials is critical for improving data comparability.
Interlaboratory testing is vital for ensuring the accuracy and reliability of environmental surveillance data.