Molecular detection of respiratory viruses from breath samples: Evaluation of nucleic acid extraction systems and PCR panels

Background Reliable and scalable molecular testing is essential for risk assessment and monitoring of respiratory viruses with epidemic or pandemic potential. The AveloMask Kit (Avelo) is a non-invasive sampling device that collects exhaled breath aerosols (XBA) using a high-performance filter, which can be released into a stabilizing buffer for nucleic acid preservation. Detection of viral nucleic acids in breath samples remains challenging, as viral loads are typically lower than in conventional upper-respiratory swabs. Therefore, optimizing extraction and polymerase chain reaction (PCR) workflows is critical to maximizing analytical sensitivity. Methods In this proof-of-concept study, we compared the nucleic acid extraction efficiency of ELITe InGenius® (ELITech) and QIAsymphony (Qiagen) automated platforms in combination with an in-house real-time quantitative polymerase chain reaction (RT-qPCR) panel and a commercial PCR panel (RespiFinder® 2Smart, Pathofinder). Using synthetic ribonucleic acid (RNA) standards, we determined the limit of detection (LOD) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A, influenza B, and respiratory syncytial virus (RSV) as a performance indicator for both extraction platforms and PCR panels. As proof-of-concept, we analyzed seven XBA samples from infected individuals, eight from healthy controls, and one from a person recovering from a cold. Results Our results demonstrate that ELITe InGenius and QIAsymphony provide comparable extraction efficiencies without negatively impacting downstream RT-qPCR. The combination of QIAsymphony and RespiFinder 2Smart achieved LODs below 100 viral copies/mL and detected all pathogens in clinical XBA samples (7/7) that were also detected in matched swabs. Conclusions These initial findings suggest the compatibility of high-throughput extraction systems and PCR panels with XBA samples collected using AveloMask and warrant further investigation of XBA sampling as a non-invasive method for respiratory virus detection.

Authors

Institutions

Publication Details

Journal
Open Research Europe
Published
2026-10-17
DOI
https://doi.org/10.12688/openreseurope.25206.1
Citations
1
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
4.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Molecular detection of respiratory viruses from breath samples: Evaluation of nucleic acid extraction systems and PCR panels

Chiara Sepulcri, Harshitha Santhosh Kumar, Katharina Grikscheit, Marhild Kortenbusch et al.
1 citations
Open Research Europe
Respiratory viral infections research
4.23
article

Molecular detection of respiratory viruses from breath samples: Evaluation of nucleic acid extraction systems and PCR panels

Chiara Sepulcri, Harshitha Santhosh Kumar, Katharina Grikscheit, Marhild Kortenbusch, Claudia Maria Denkinger, Tobias Broger, Ankur Gupta‐Wright, Sandra Ciesek, Maximilian A. Kelch, Annemarie Berger, Rita Sorrentino, Ilaria Iannucci, Daniela Cirillo, Digby Warner, Irina Jakobsche
article en
1 citations

Abstract

Background Reliable and scalable molecular testing is essential for risk assessment and monitoring of respiratory viruses with epidemic or pandemic potential. The AveloMask Kit (Avelo) is a non-invasive sampling device that collects exhaled breath aerosols (XBA) using a high-performance filter, which can be released into a stabilizing buffer for nucleic acid preservation. Detection of viral nucleic acids in breath samples remains challenging, as viral loads are typically lower than in conventional upper-respiratory swabs. Therefore, optimizing extraction and polymerase chain reaction (PCR) workflows is critical to maximizing analytical sensitivity. Methods In this proof-of-concept study, we compared the nucleic acid extraction efficiency of ELITe InGenius® (ELITech) and QIAsymphony (Qiagen) automated platforms in combination with an in-house real-time quantitative polymerase chain reaction (RT-qPCR) panel and a commercial PCR panel (RespiFinder® 2Smart, Pathofinder). Using synthetic ribonucleic acid (RNA) standards, we determined the limit of detection (LOD) for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A, influenza B, and respiratory syncytial virus (RSV) as a performance indicator for both extraction platforms and PCR panels. As proof-of-concept, we analyzed seven XBA samples from infected individuals, eight from healthy controls, and one from a person recovering from a cold. Results Our results demonstrate that ELITe InGenius and QIAsymphony provide comparable extraction efficiencies without negatively impacting downstream RT-qPCR. The combination of QIAsymphony and RespiFinder 2Smart achieved LODs below 100 viral copies/mL and detected all pathogens in clinical XBA samples (7/7) that were also detected in matched swabs. Conclusions These initial findings suggest the compatibility of high-throughput extraction systems and PCR panels with XBA samples collected using AveloMask and warrant further investigation of XBA sampling as a non-invasive method for respiratory virus detection.

Open Research EuropeVol. 6
Goethe University Frankfurt (DE), Desmond Tutu HIV Foundation (ZA), Vita-Salute San Raffaele University (IT), University of Cape Town (ZA), Heidelberg University (DE), University Hospital Heidelberg (DE), Fraunhofer Institute for Translational Medicine and Pharmacology (DE), NIHR Imperial Biomedical Research Centre (GB), German Center for Infection Research (DE), University Hospital Frankfurt (DE), Wellcome Centre for Infectious Diseases Research in Africa (ZA), Imperial College London (GB)
National Institute for Health and Care Research, HORIZON EUROPE Framework Programme
Good health and well-being
Openalex Percentile: Top 4%
Respiratory viral infections research
4.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.