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CORDIS

A SYstem for reaL-time obserVation of Aeroallergens

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

2nd Stakeholder Forum workshop and Stakeholder training package (opens in new window)

Online workshop, with focus on specific subjects relevant to different user groups, for example, climate services, allergies and their treatment, or improving agricultural practices. Will be organized in two or more parts, depending on the number of user groups. Corresponding training packages will be developed.

Operational protocol for eDNA sampling and analysis (opens in new window)

The protocol of the 2021 FMI bioaerosol campaign will be refined for operational applications across Europe. It will cover the use of various sampler types along with Nanopore eDNA sequencer, and will allow identification of spectrum of pollen, spores, and bacteria.

Improved identification algorithms (opens in new window)

For flow cytometers (Swisens Poleno, Plair Rapid-E+), identification algorithms will be optimized and the reference database and algorithm libraries populated for pollen, fungal spores, and selected bacteria.For impactors (BAA-500), new identification algorithms will be created for fungal spores and the reference database and algorithm libraries populated for pollen and some fungal spores.For multi-wavelength depolarization lidars, the identification algorithm for operational use targeting at some pollen families will be upgraded and applied to selected EARLINET sites.

IT Infrastructure to host SYLVA data and run the algorithms (opens in new window)

The IT infrastructure will consist of:1. Data storage solution- Level-0 Data storage for three SYLVA monitors will be at the LRZ (TUM-Med) supercomputing centre of the Munich universities. Newly developed /advanced databases and interfaces to application server(s) with high portability and virtualization for flexible exploitation beyond the project lifetime- Interface to level-1 data storage in the EBAS database hosted by NILU2. Application server for algorithms- Version-controlled Git-type storage for identification algorithms- Environment and computing capacity for CPU- (LRZ) and GPU- (FMI) based computations: operational and reanalysis with any algorithm stored in the project repository

Web and smartphone demo apps (opens in new window)

SYLVA will develop and deploy demonstration apps (web and smartphone), which will communicate the level-1 data from pilots in real-time and demonstrate how the SYLVA measurements and forecasts can be utilised.

1st Stakeholder Forum workshop and Stakeholder training package (opens in new window)

Face-to-face workshop to promote the dialogue with stakeholders - essential to better understand their needs as well as to co-design and co-develop targeted products and services for specific end-user groups thus fully exploiting the technology of WP2 and real-time data and forecasts produced in WP3. The Stakeholder Forum will test all products and services to ensure they are properly aligned with user’s needs. Stakeholders will include a wide range of international organisations, such as WMO, EFA, WHO Europe, EPHA, EAACI, and FAO. In addition, the Stakeholder Forum will have a strong regional/national component built around the Demonstration Pilots (i.e. regional environmental protection agencies, public health organisations, research institutes, patient and farmer organisations) who will provide insight from a more local perspective.The technology and methods developed within SYLVA will push the limits of current knowledge and expertise. To ensure sustainability, this will need to be shared across the project and the wider operational and research communities with interest in bioaerosols. The project will create tutorials and hold online seminars in close collaboration with WP2 and WP3. Topics will include facilitating the use of the data produced from the Pilot Demonstrations, development of own and/or use of existing bioaerosol identification algorithms, and utilization of the reference data generated in WP2. Documentation will cover aspects such as site selection and installation, data management, and IPR issues, amongst others.SYLVA will make three Stakeholder training packages aligned in time with Stakeholder Forum workshops.

Project website (opens in new window)

The project website will be used as both the dissemination and management tool. The website will include:- Static information, referring to the project’s aim, objectives, methodology followed, pilots description, etc.- Dynamic information, such as news about forthcoming and completed project activities, events, etc.- Multimedia material, such as project presentations, videos from events, pilots, etc.- A secure private area for access by project partners, which will include a repository for the project documentation.The project website will be maintained during the whole project duration.

Data and algorithm access toolbox (opens in new window)

The data and algorithm access toolbox will demonstrate that the SYLVA operational real-time data and forecasts will be a game changer in terms of the products and services that can be delivered to end-users. SYLVA will build a gateway API to directly allow access to custom data queries according to different user needs and topics.

Data assimilation and fusion methods for integration of real-time bioaerosol data in models (opens in new window)

- Data-assimilation methods of SILAM and ICON-ART updated to allow identification of season parameters in real time - Model forecasts validated with real-time assimilated data

Report on adaptations of bioaerosol monitors to extreme conditions (opens in new window)

Instruments used in the Northern Pilot will be adapted to Arctic conditions:- Tested against cold, frost, ice, icy rain, supercooled clouds, and fog- Their accuracy under a range of conditions will be quantified and the efficiency of adaptation measures estimated.Instruments used in the Southern Pilot will be adapted to hot and dusty conditions:- Tested under extreme heat, dryness, heavy rainfall, and polluted conditions- Their accuracy under a range of conditions will be quantified and the efficiency of adaptation measures estimated.Instruments used in the High-altitude Pilot will be adapted to high-altitude conditions:- Tested under alpine conditions- Their accuracy under a range of conditions will be quantified and the efficiency of adaptation measures estimated.

Method to link in situ pollen observations and Copernicus satellite data (opens in new window)

- Updated and verified method to link in situ pollen observations and Copernicus satellite data- Experiments with extrapolation of the methodology from the well-observed areas to remote and low-access environments using satellite data

Pollen, fungal spore, and bacteria reference datasets (opens in new window)

Reference datasets for training the identification algorithms (pollen, spores, bacteria) will be produced. Reference samples collected by WP 3 will be supplied to the monitors, datasets for each device stored for further algorithm development and evaluation.

Reference training datasets for all bioaerosol monitors (opens in new window)

Reference datasets of northern, southern, and high-altitude species will be created:- Target species of pollen and fungal spores collected- Relevant fungal spores and bacteria grown.

Data management plan (opens in new window)

In alignment with the Open Research Data Pilot, a detailed Data Management Plan (DMP) will be developed by M6 and updated in M40. The DMP will describe the data management life cycle for all data collected, processed and/or generated by the project. As part of making FAIR research data, the DMP will include information on handling the data during and after the end of the project; what data will be collected, processed and/or generated; which methodology and standards will be applied; whether data will be shared/made open access; and how data will be curated and preserved (including after the end of the project).

Publications

Real-time pollen identification using holographic imaging and fluorescence measurements (opens in new window)

Author(s): Erb, S., Graf, E., Zeder, Y., Lionetti, S., Berne, A., Clot, B., Lieberherr, G., Tummon, F., Wullschleger, P., and Crouzy, B.
Published in: Atmospheric Measurement Techniques, 2024, ISSN 1867-8548
Publisher: Copernicus Publications
DOI: 10.5194/amt-17-441-2024

Advancing automated identification of airborne fungal spores: guidelines for cultivation and reference dataset creation (opens in new window)

Author(s): Nicolas Bruffaerts; Elias Graf; Predrag Matavulj; Astha Tiwari; Ioanna Pyrri; Yanick Zeder; Sophie Erb; Maria Plaza; Silas Dietler; Tommaso Bendinelli; Elizabet D’hooge; Branko Sikoparija
Published in: Aerobiologia, 2025, ISSN 1573-3025
Publisher: Springer Nature B.V.
DOI: 10.1007/S10453-025-09864-Y

Influence of meteorological variables and air pollutants on measurements from automatic pollen sampling devices (opens in new window)

Author(s): González-Alonso, M., Oteros, J., Widmann, M., Maya-Manzano, J.M., Skjøth, C., Grewling, L., O'Connor, D., Sofiev, M., Tummon, F., Crouzy, B., Clot, B., Buters, J., Kadantsev, E., Palamarchuk, Y., Martinez-Bracero, M., Pope, F.D., Mills, S. et al.
Published in: Science of The Total Environment, 2024, ISSN 0048-9697
Publisher: Elsevier
DOI: 10.1016/J.SCITOTENV.2024.172913

Pollen holographic images and light-induced fluorescence measurements at the species level (opens in new window)

Author(s): Sophie Erb; Alexis Berne; Bernard Clot; Maria Lbadaoui-Darvas; Gian-Duri Lieberherr; Marie-Pierre Meurville; Fiona Tummon; Benoît Crouzy
Published in: Scientific Data, 2025, ISSN 2052-4463
Publisher: Springer
DOI: 10.1038/S41597-025-05139-W

Classification accuracy and compatibility across devices of a new Rapid-E+ flow cytometer (opens in new window)

Author(s): Branko Sikoparija; Predrag Matavulj; Isidora Simovic; Predrag Radisic; Sanja Brdar; Vladan Minic; Danijela Tesendic; Evgeny Kadantsev; Julia Palamarchuk; Mikhail Sofiev
Published in: Atmospheric Measurement Techniques, 2024, ISSN 1867-8548
Publisher: Copernicus Publications
DOI: 10.5194/egusphere-2024-187

EAACI guidelines on environmental science for allergy and asthma: The impact of short-term exposure to outdoor air pollutants on asthma-related outcomes and recommendations for mitigation measures (opens in new window)

Author(s): Agache I, Annesi-Maesano I, Cecchi L, Biagioni B, Fan Chung K, Clot B, D’Amato G, Damialis A, del Giacco S, Dominguez-Ortega J, Galàn C, Gilles S, Holgate S, Jeebhay M, Kazadzis S, Nadeau K, Papadopoulos N, Quirce S, Sastre J, Tummon F, et al.
Published in: Allergy, 2024, ISSN 1398-9995
Publisher: John Wiley & Sons
DOI: 10.1111/ALL.16103

Digitally-enabled, person-centred care (PCC) in allergen immunotherapy: An ARIA-EAACI Position Paper (opens in new window)

Author(s): Pfaar, O., Sousa‐Pinto, B., Papadopoulos, N.G., Larenas‐Linnemann, D.E., Ordak, M., Torres, M.J., Mösges, R., Klimek, L., Zuberbier, T., Matricardi, P.M., Berger, U.E., Berger, M., Dramburg, S., Mahler, V., Toppila‐Salmi, S.K., Bergmann, K. et al.
Published in: Allergy, 2024, ISSN 1398-9995
Publisher: John Wiley & Sons
DOI: 10.1111/all.16135

Explainable AI for unveiling deep learning pollen classification model based on fusion of scattered light patterns and fluorescence spectroscopy (opens in new window)

Author(s): Brdar, S., Panić, M., Matavulj, P., Stanković, M., Bartolić, D., Šikoparija, B.
Published in: Scientific Reports, 2023, ISSN 2045-2322
Publisher: Nature Portfolio
DOI: 10.1038/S41598-023-30064-6

Is exposure to pollen a risk factor for moderate and severe asthma exacerbations? (opens in new window)

Author(s): Annesi-Maesano I, Cecchi L, Biagioni B, Chung KF, Clot B, Collaud Coen M, D'Amato G, Damialis A, Dominguez-Ortega J, Galàn C, Gilles S, Holgate S, Jeebhay M, Kazadzis S, Papadopoulos NG, Quirce S, Sastre J, Tummon F, Traidl-Hoffmann C, et al.
Published in: Allergy, 2023, ISSN 1398-9995
Publisher: John Wiley & Sons
DOI: 10.1111/ALL.15724

The 2024 Europe report of the Lancet Countdown on health and climate change: unprecedented warming demands unprecedented action. (opens in new window)

Author(s): Van Daalen, K.R., Tonne,C., Semenza,J.C., Rocklöv,J., Markandya,A., Dasandi,N., Jankin,S., Achebak, H., Ballester, J., Bechara, H., Beck, T.M., Callaghan, M.W., Carvalho, B.M., Chambers, J., Pradas,M.C., Courtenay,O., Dasgupta,S., Eckelman, M.J., et al.
Published in: The Lancet Public Health, 2024, ISSN 2468-2667
Publisher: The Lancet
DOI: 10.1016/S2468-2667(24)00055-0

Advancing in the pollen frontier: a comprehensive evaluation and meta-analysis of automatic pollen monitoring systems (opens in new window)

Author(s): Qasim Farooq; José Oteros; Carmen Galán
Published in: Aerobiologia, 2025, ISSN 1573-3025
Publisher: Springer Nature B.V.
DOI: 10.1007/S10453-025-09865-X

Shipping and algae emissions have a major impact on ambient air mixing ratios of non-methane hydrocarbons (NMHCs) and methanethiol on Utö Island in the Baltic Sea (opens in new window)

Author(s): H. Hellén; R. Kouznetsov; K. Kraft; J. Seppälä; M. Vestenius; J.-P. Jalkanen; L. Laakso; L. Laakso; H. Hakola
Published in: Atmospheric Chemistry and Physics, 2024, ISSN 1680-7324
Publisher: Copernicus Publications
DOI: 10.5194/ACP-24-4717-2024

European pollen reanalysis, 1980–2022, for alder, birch, and olive (opens in new window)

Author(s): Mikhail Sofiev; Julia Palamarchuk; Rostislav Kouznetsov; Tamuna Abramidze; Beverley Adams-Groom; Célia M. Antunes; Arturo H. Ariño; Maximilian Bastl; Jordina Belmonte; Uwe E. Berger; Maira Bonini; Nicolas Bruffaerts; Jeroen Buters; Paloma Cariñanos; Sevcan Celenk; Valentina Ceriotti; Athanasios Charalampopoulos; Yolanda Clewlow; Bernard Clot; Aslog Dahl; Athanasios Damialis; Concepción De Linares; Letty A. De Weger; Lukas Dirr; Agneta Ekebom; Yalda Fatahi; María Fernández González; Delia Fernández González; Santiago Fernández-Rodríguez; Carmen Galán; Björn Gedda; Regula Gehrig; Carmi Geller Bernstein; Nestor Gonzalez Roldan; Lukasz Grewling; Lenka Hajkova; Risto Hänninen; François Hentges; Juha Jantunen; Evgeny Kadantsev; Idalia Kasprzyk; Mathilde Kloster; Katarzyna Kluska; Mieke Koenders; Janka Lafférsová; Poliana Mihaela Leru; Agnieszka Lipiec; Maria Louna-Korteniemi; Donát Magyar; Barbara Majkowska-Wojciechowska; Mika Mäkelä; Mirjana Mitrovic; Dorota Myszkowska; Gilles Oliver; Pia Östensson; Rosa Pérez-Badia; Krystyna Piotrowska-Weryszko; Marje Prank; Ewa Maria Przedpelska-Wasowicz; Sanna Pätsi; F. Javier Rodríguyez Rajo; Hallvard Ramfjord; Joanna Rapiejko; Victoria Rodinkova; Jesús Rojo; Luis Ruiz-Valenzuela; Ondrej Rybnicek; Annika Saarto; Ingrida Sauliene; Andreja Kofol Seliger; Elena Severova; Valentina Shalaboda; Branko Sikoparija; Pilvi Siljamo; Joana Soares; Olga Sozinova; Anders Stangel; Barbara Stjepanović; Erik Teinemaa; Svyatoslav Tyuryakov; M. Mar Trigo; Andreas Uppstu; Mart Vill; Julius Vira; Nicolas Visez; Tiina Vitikainen; Despoina Vokou; Elżbieta Weryszko-Chmielewska; Ari Karppinen
Published in: Scientific Data, 2024, ISSN 2052-4463
Publisher: Springer Nature
DOI: 10.1038/S41597-024-03686-2

Insight into outdoor bioaerosol diversity by using high volume sampling and environmental DNA (eDNA) analysis (opens in new window)

Author(s): Ljiljana Šašić Zorić, Deepika Pal, Milomir Stefanović, Jelena Jović, Ljiljana Janjušević, Marijana Vasić, Tijana Milosavljević, Aleksandra Stankov Petreš, Kristina Kalkan, Branko Šikoparija
Published in: Atmospheric Environment, Issue 360, 2025, ISSN 1352-2310
Publisher: Elsevier BV
DOI: 10.1016/J.ATMOSENV.2025.121396

Towards European automatic bioaerosol monitoring: Comparison of 9 automatic pollen observational instruments with classic Hirst-type traps (opens in new window)

Author(s): Maya-Manzano, J.M., Tummon, F., Abt, R., Allan, N., Bunderson, L., Clot, B., Crouzy, B., Daunys, G., Erb, S., Gonzalez-Alonso, M., Graf, E., Grewling, Ł., Haus, J., Kadantsev, E., Kawashima, S., Martinez-Bracero, M., Matavulj, P., Mills, S., et al.
Published in: Science of The Total Environment, 2023, ISSN 0048-9697
Publisher: Elsevier
DOI: 10.1016/j.scitotenv.2022.161220

Designing an automatic pollen monitoring network for direct usage of observations to reconstruct the concentration fields (opens in new window)

Author(s): Sofiev M, Buters J, Tummon F, Fatahi Y, Sozinova O, Adams-Groom B, Bergmann KC, Dahl A, Gehrig R, Gilge S, Kofol Seliger A, Kouznetsov R, Lieberherr G, O’Connor D, Oteros J, Palamarchuk J, Ribeiro H, Werchan B, Werchan M, Clot B.
Published in: Science of The Total Environment, 2023, ISSN 0048-9697
Publisher: Elsevier
DOI: 10.1016/J.SCITOTENV.2023.165800

Climate change, airborne allergens, and three translational mitigation approaches (opens in new window)

Author(s): Beggs, P.J., Clot, B., Sofiev, M., Johnston, F.H.
Published in: eBioMedicine, 2023, ISSN 2352-3964
Publisher: Elsevier BV
DOI: 10.1016/j.ebiom.2023.104478

Operational pollen classification using digital holography and fluorescence (opens in new window)

Author(s): Benoît Crouzy; Marie-Pierre Meurville; Bernard Clot; Sophie Erb; Maria Lbadaoui; Fiona Tummon; Gian Lieberherr
Published in: Aerobiologia, 2025, ISSN 1573-3025
Publisher: Springer
DOI: 10.21203/RS.3.RS-7158558/V1

The role of automatic pollen and fungal spore monitoring across major end-user domains (opens in new window)

Author(s): Tummon, F., Adams-Groom, B., Antunes, C.M., Bruffaerts, N., Buters, J., Cariñanos, P., Celenk, S., Choël, M., Clot, B., Cristofori, A., Crouzy, B., Damialis, A., Fernández, A.R., González, D.F., Galán, C., Gedda, B., Gehrig, R., Gonzalez-Alonso, M. et al.
Published in: Aerobiologia, 2024, ISSN 1573-3025
Publisher: Springer
DOI: 10.1007/S10453-024-09820-2

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