| dc.contributor.author | Prieto Diez, Estela | |
| dc.contributor.author | Ares Sacristán, Ana María | |
| dc.contributor.author | Bernal Yagüe, José Luis | |
| dc.contributor.author | Valverde Bastardo, Silvia | |
| dc.date.accessioned | 2026-02-03T12:28:41Z | |
| dc.date.available | 2026-02-03T12:28:41Z | |
| dc.date.issued | 2026 | |
| dc.identifier.citation | Food Control, 2026, vol. 183, p. 111939 | es |
| dc.identifier.issn | 0956-7135 | es |
| dc.identifier.uri | https://uvadoc.uva.es/handle/10324/82488 | |
| dc.description | Producción Científica | es |
| dc.description.abstract | Bee pollen is a natural food supplement collected by honeybees that has significant nutritional value and ther-
apeutic qualities, including antioxidant, antibacterial, and anticarcinogenic properties. Due to its hygroscopic
nature, bee pollen readily promotes microbial growth; however, there is no specific legislation for bee pollen in
the European Union. Microbiological contamination therefore stands out as a crucial factor in determining its
quality. To address this, the study focused on isolating bacterial and fungal colonies from bee pollen using
various culture media, followed by a protein extraction based on a lysis process. Identification was achieved
through the Biotyper-MALDI-TOF (Matrix-Assisted Laser Desorption/Ionization coupled to Time-of-Flight de-
tector) system. The greenness and blueness of the methods were assessed using different tools, which classified
them as environmentally friendly and practical. Thirty-two samples were analyzed using proposed sample
treatment approaches. Data were processed using chemometric techniques based on linear models. The results
revealed the presence of both beneficial and potentially pathogenic species, including key representatives such as
Bacillus licheniformis, Micrococcus luteus, and Aspergillus fumigatus. These findings highlight the importance of
microbiota characterization in bee pollen and demonstrate that MALDI-TOF is a rapid and effective tool for
profiling culturable microbial communities in this matrix. | es |
| dc.format.mimetype | application/pdf | es |
| dc.language.iso | eng | es |
| dc.publisher | Elsevier | es |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
| dc.subject.classification | Bee pollen | es |
| dc.subject.classification | Biotyper-MALDI-TOF | es |
| dc.subject.classification | Food safety | es |
| dc.subject.classification | Fungal protein extraction | es |
| dc.subject.classification | Green metrics | es |
| dc.subject.classification | Microbiological contamination | es |
| dc.subject.classification | Microbiological profiling | es |
| dc.title | Simple analytical approach to determine the microbiological profile of bee pollen by MALDI-TOF | es |
| dc.type | info:eu-repo/semantics/article | es |
| dc.rights.holder | © 2026 The Author(s) | es |
| dc.identifier.doi | 10.1016/j.foodcont.2025.111939 | es |
| dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0956713525008084 | es |
| dc.identifier.publicationfirstpage | 111939 | es |
| dc.identifier.publicationtitle | Food Control | es |
| dc.identifier.publicationvolume | 183 | es |
| dc.peerreviewed | SI | es |
| dc.description.project | Ministerio de Ciencia e Innovación - MICIU/AEI750/10.13039/501100011033 y por FEDER, UE (grant PID2022-141679OR-C33) | es |
| dc.rights | Atribución 4.0 Internacional | * |
| dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | es |
| dc.subject.unesco | 23 Química | es |