Editorial: Multi-species biofilms in the food industry
Notice bibliographique
Résumé
Microbial biofilms are spatially organized communities of microorganisms attached to different surfaces and embedded within a self-produced matrix composed of extracellular polymeric substances (EPS). The formation of biofilms frequently occurs in the food industry, due to available nutrients, large areas for microbial growth, and the complexity of processing facilities. Microbial biofilms have represented an outstanding survival strategy against stressful conditions for both spoilage and pathogenic bacteria during food processing (Alvarez-Ordóez et al. 2019). Thus, microbial biofilms have been notoriously identified as causes for food spoilage, foodborne diseases, and high costs for equipment damage in the food industry.Most knowledge regarding food biofilms is based on the formation and control of single-species biofilms; however, they ignored the fact that mixed-species biofilms represent the most frequent form of contamination in the food industry, and bacterial interactions may facilitate the properties and behavior quite different from singlespecies biofilms (Yuan et al., 2020). A better understanding of the metabolic activity of microorganisms in mixed-species biofilms is challenging, but in turn, will definitely be useful for the design of more efficient strategies for controlling unwanted biofilms in the food industry.In this context, this Research Topic aims to collect recent studies on the following themes: 1) the mechanisms underlying the formation of mixed-species biofilms; 2) the persistence and resistance under food processing environments; 3) the development of appropriate methods to study mixed-species biofilms; and 4) the potential novel strategies to control the formation of mixed-species biofilms. This Research Topic comprises 4 original research articles from Austria, China, Canada, and South Korea, contributed by 24 authors. Two contributions focused on the evaluation of mixedspecies biofilm formation, and the others designed potential effective methods to control the formation of multi-species biofilms.Voglauer and co-authors described the complexity of mixed-species biofilms formed in water hoses of a meat processing environment by high-throughput 16S rRNA gene sequencing, with Comamonadaceae and Pseudoxanthomonas being most abundant in biofilms. Opportunistic pathogens, including the genera of Neochlamydia, Legionella, and Pseudomonas, have also been detected with different abundances. However, knowledge of the effects of environmental factors on the formation of biofilms in water hoses is limited. The authors also stated that control strategies have to be taken to prevent the colonization and biofilm formation in water hoses in order to assure water safety for the health of workers and consumers. In another study, Nan and the coauthors evaluated the formation and transfer of mixed-species biofilms by Escherichia coli O103:H2 and lactic acid bacteria or spoilage bacteria at different temperatures, storage time, and humidity conditions. They stated that the formation of mixed-species biofilms may increase or diminish the risk of beef contamination by E. coli O103:H2, depending on the bacteria community and environmental conditions in beef processing environment.It is generally believed that mixed-species biofilms exhibit higher resistance to biofilm control strategies in food processing facilities when compared to single-species biofilms (Pang, Yang, and Yuk, 2017;Pang and Yuk, 2018). This emphasizes the importance for the development of effective biofilm control methods. In this Research Topic, two research articles are related to the control of mixed-species biofilms formed by pathogenic or spoilage microorganisms in the food industry. Yan and co-authors confirmed the high antibiofilm efficiency of lightly acidic electrolyzed water by preventing surface adhesions and impairing biofilm cell membrane integrities, and the antimicrobial activity highly depends on its storage time. This study also investigated the inhibitory effect of slightly acidic electrolyzed water on mixed-species of Listeria monocytogenes Scott A and Staphylococcus aureus for the first time.Hurdle technology, the combination of two or more control strategies, has been proved as a promising technology to effectively remove biofilm cells from food processing facilities, as they would attack microorganisms in different ways (Yuan et al., 2021). In another contribution, Zhu and co-authors examined the synergistic effect of ε-Polylysine hydrochloride and cinnamon essential oil against dual-species biofilms by L. monocytogenes and Pseudomonas lundensis in meat processing. The combination of the two preservatives exhibited increased inhibitory effect against dual-species biofilm formation according to the thin spare spatial structures and reduced AI-2 activity, and dramatically eradicated the preformed dual-species biofilms.The above studies have expanded our understanding on this topic; however, relevant studies about 1) the mechanisms underlying the formation of multi-species biofilms by omics, and 2) the development of appropriate methods to study multi-species biofilms and still needed for a better understanding of multi-species biofilms.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,005 | 0,001 |
| Méta-épidémiologie (sens large) | 0,004 | 0,004 |
| Bibliométrie | 0,004 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,007 | 0,006 |
| Science ouverte | 0,005 | 0,002 |
| Intégrité de la recherche | 0,019 | 0,016 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,021 | 0,017 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».