On the detection of foodborne viral contamination in edible seaweeds
The consumption of edible seaweed as a sustainable food source is increasing; however, their complex composition and diverse commercial formats pose significant challenges for the detection of pathogens, specifically human enteric viruses. Standardized methods, such as ISO 15216-1:2017 and FDA/BAM,...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
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| Acceso en línea: | http://hdl.handle.net/10261/426420 https://api.elsevier.com/content/abstract/scopus_id/105032757585 |
| Access Level: | acceso abierto |
| Palabra clave: | Edible seaweed Enteric viruses Food safety Norovirus Standard method seaweeds food safety |
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On the detection of foodborne viral contamination in edible seaweedsAlcaine Bellido, BeatrizRodrigo Aliaga, DoloresRandazzo, WalterEdible seaweedEnteric virusesFood safetyNorovirusStandard methodseaweedsfood safetyThe consumption of edible seaweed as a sustainable food source is increasing; however, their complex composition and diverse commercial formats pose significant challenges for the detection of pathogens, specifically human enteric viruses. Standardized methods, such as ISO 15216-1:2017 and FDA/BAM, are available for detecting and quantifying viral contamination in a diversity of food matrices, which is crucial to guarantee food safety and implement routine monitoring efforts. However, these methodologies demonstrated limited efficiency when applied to complex food samples, and information on their analytical performance is not available for edible seaweed, yet. In this study, three viral concentration protocols based on ISO or FDA/BAM procedures were comparatively assessed for their analytical performance in detecting human norovirus genogroups I and II (HuNoV GI and GII), hepatitis A virus (HAV), and human astrovirus (HAstV) in three edible seaweed species (Codium spp., Ulva lactuca, and Himanthalia elongata). Among assessed protocols, FDA/BAM method exhibited the highest sensitivity (LoD50% = 5.0 ± 0.8 log GC/25 g) and recovery efficiency (2.2-10.9%), significantly outperforming the alternatively tested ISO-based methods. In addition, the best-performing method was employed to conduct a pilot assessment of viral contamination in commercial seaweeds sold in different formats (fresh, dried, and powdered). The sampling campaign resulted in Ulva lactuca (3/15; 20.0%) and Sargassum muticum (1/15; 6.7%) contaminated with HuNoV GII RNA. Overall, these findings emphasise the need for sensitive and standardized detection methods for enteric viruses in complex food matrices, such as seaweeds.This research was supported by “PEMSTA” (PID2023-149211OB-C32, MCIN/AEI/10.13039/501100011033) project funded to DRA and WR. IATA-CSIC is a Centre of Excellence Severo Ochoa (CEX2021-001189-S MCIN/AEI/10.13039/501100011033).With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2021-001189-S).Peer reviewedElsevierAgencia Estatal de Investigación (España)Ministerio de Ciencia e Innovación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262026info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/426420https://api.elsevier.com/content/abstract/scopus_id/105032757585reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-149211OB-C32info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001189-SInternational journal of food microbiologyThe underlying dataset has been published as supplementary material of the article in the publisher platform at https://doi.org/10.1016/j.ijfoodmicro.2026.111733https://doi.org/10.1016/j.ijfoodmicro.2026.111733Síinfo:eu-repo/semantics/openAccessoai:dnet:digitalcsic_::c1b7c8d48883b344733f2e11eba4f5bc2026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
On the detection of foodborne viral contamination in edible seaweeds |
| title |
On the detection of foodborne viral contamination in edible seaweeds |
| spellingShingle |
On the detection of foodborne viral contamination in edible seaweeds Alcaine Bellido, Beatriz Edible seaweed Enteric viruses Food safety Norovirus Standard method seaweeds food safety |
| title_short |
On the detection of foodborne viral contamination in edible seaweeds |
| title_full |
On the detection of foodborne viral contamination in edible seaweeds |
| title_fullStr |
On the detection of foodborne viral contamination in edible seaweeds |
| title_full_unstemmed |
On the detection of foodborne viral contamination in edible seaweeds |
| title_sort |
On the detection of foodborne viral contamination in edible seaweeds |
| dc.creator.none.fl_str_mv |
Alcaine Bellido, Beatriz Rodrigo Aliaga, Dolores Randazzo, Walter |
| author |
Alcaine Bellido, Beatriz |
| author_facet |
Alcaine Bellido, Beatriz Rodrigo Aliaga, Dolores Randazzo, Walter |
| author_role |
author |
| author2 |
Rodrigo Aliaga, Dolores Randazzo, Walter |
| author2_role |
author author |
| dc.contributor.none.fl_str_mv |
Agencia Estatal de Investigación (España) Ministerio de Ciencia e Innovación (España) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Edible seaweed Enteric viruses Food safety Norovirus Standard method seaweeds food safety |
| topic |
Edible seaweed Enteric viruses Food safety Norovirus Standard method seaweeds food safety |
| description |
The consumption of edible seaweed as a sustainable food source is increasing; however, their complex composition and diverse commercial formats pose significant challenges for the detection of pathogens, specifically human enteric viruses. Standardized methods, such as ISO 15216-1:2017 and FDA/BAM, are available for detecting and quantifying viral contamination in a diversity of food matrices, which is crucial to guarantee food safety and implement routine monitoring efforts. However, these methodologies demonstrated limited efficiency when applied to complex food samples, and information on their analytical performance is not available for edible seaweed, yet. In this study, three viral concentration protocols based on ISO or FDA/BAM procedures were comparatively assessed for their analytical performance in detecting human norovirus genogroups I and II (HuNoV GI and GII), hepatitis A virus (HAV), and human astrovirus (HAstV) in three edible seaweed species (Codium spp., Ulva lactuca, and Himanthalia elongata). Among assessed protocols, FDA/BAM method exhibited the highest sensitivity (LoD50% = 5.0 ± 0.8 log GC/25 g) and recovery efficiency (2.2-10.9%), significantly outperforming the alternatively tested ISO-based methods. In addition, the best-performing method was employed to conduct a pilot assessment of viral contamination in commercial seaweeds sold in different formats (fresh, dried, and powdered). The sampling campaign resulted in Ulva lactuca (3/15; 20.0%) and Sargassum muticum (1/15; 6.7%) contaminated with HuNoV GII RNA. Overall, these findings emphasise the need for sensitive and standardized detection methods for enteric viruses in complex food matrices, such as seaweeds. |
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2026 |
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2026 2026 2026 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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http://hdl.handle.net/10261/426420 https://api.elsevier.com/content/abstract/scopus_id/105032757585 |
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http://hdl.handle.net/10261/426420 https://api.elsevier.com/content/abstract/scopus_id/105032757585 |
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Inglés |
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#PLACEHOLDER_PARENT_METADATA_VALUE# #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-149211OB-C32 info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/CEX2021-001189-S International journal of food microbiology The underlying dataset has been published as supplementary material of the article in the publisher platform at https://doi.org/10.1016/j.ijfoodmicro.2026.111733 https://doi.org/10.1016/j.ijfoodmicro.2026.111733 Sí |
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