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Enregistrement W4251109967 · doi:10.1093/femsle/fnz130s

Editorial: Microbial food and feed ingredients – reconciling tradition and novelty

2019· editorial· en· W4251109967 sur OpenAlexaff
Egon Bech Hansen, Dennis Sandris Nielsen, Gisèle LaPointe

Notice bibliographique

RevueFEMS Microbiology Letters · 2019
Typeeditorial
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueProbiotics and Fermented Foods
Établissements canadiensUniversity of GuelphCanadian Institute for Public Safety Research and Treatment
Organismes subventionnairesnon disponible
Mots-clésNoveltyFood scienceNovel foodBiotechnologyChemistryBiologyPhilosophy

Résumé

récupéré en direct d'OpenAlex

Microbial food and feed ingredients is the topic for this thematic issue of FEMS Microbiology Letters. We have for the purpose loosely defined microbial food and feed ingredients as ingredients composed of microorganisms or produced by fermentation. We recognize that this group of ingredients does not constitute a well-defined category neither legally nor commercially. In spite of the fuzziness in the definition, we believe that microbial ingredients possess special advantages and special challenges regarding innovation potential, consumer acceptance and regulatory approval. The First Microbial Food and Feed Ingredients (MIFFI) Conference (https://miffi.org) held in Copenhagen May 2–4, 2018 focused on these aspects and most of the papers in the present thematic issue originate from presentations given at the MIFFI2018 conference. Legally, food ingredients are defined as everything used to prepare the food product; however, the term ‘food ingredient’ is commonly used to designate the ingredients that contribute to functionalities in excess of expectations based on amounts used. The functionalities provided by food and feed ingredients cover a diverse field including but not limited to preservation against spoilage (aerobic and microbial), emulsification, texturizing, flavor, sweetness, nutrition and health. The chemistry of food and feed ingredients is also quite diverse ranging from extracts of natural sources to synthetic molecules not normally occurring in nature. In addition, the regulatory framework around food and feed ingredients show considerable diversity across the globe. In regulatory language, such ingredients are typically defined as additives or processing aids depending on the presence in the final product. Consumers have an ambiguous attitude towards food additives as they might want the functionality provided by the ingredient whereas the consumption of ‘unnatural’ or chemical products is generally perceived as undesirable. Although the definition of unnatural or chemical is quite challenging, this consumer attitude might generally be advantageous for microbial food and feed ingredients. The MIFFI Conference created a forum for scientists working on multiple aspects of microbial food and feed ingredients. The participants exchanging views, ideas, and results came from academia, industrial research, development, application and regulatory departments, government agencies, consumer analysts etc. The papers in this thematic issue of FEMS Microbiology Letters capture highlights of some of the creative exchanges at MIFFI2018 in the form of minireviews, research letters and a current opinion. The minireviews cover the fields of legal aspects, bioengineering and applications. Two minireviews, (Bourdichon, Laulund and Tenning 2019; Herman et al. 2019) address aspects of the safety evaluation of microorganisms used in food, pointing out problematic issues and recommendations for the future. Two minireviews (Chen et al. 2018; Börner et al. 2019) present the current methods for strain improvements using microfluidics and genome editing respectively. In the field of applications, Wiese (2019) review the effect of pectin as an animal prebiotic, highlighting the contribution of in vitro tools to complement in vivo studies. There remain many challenges to resolving the relationship between structure and functionality of prebiotics in order to develop applications for both animals and humans, but this review provide a solid foundation for this work. Marcial-Coba, Knøchel and Nielsen (2019) review low moisture foods as carriers for probiotics, pointing out their advantages in long shelf life and reducing costs. The use of lactic acid bacteria in food, feed and particularly in green refineries is reviewed by Lübeck and Lübeck (2019). Sustainable technologies are the wave of the future, and these authors show how fermentation with lactic acid bacteria can add value to feed, leading to detoxification and improved milk production. Original research on microbial food and feed ingredients in this thematic issue is presented in research letters spanning a wide range of topics pertinent to the applications of lactic acid bacteria and probiotics. High-throughput screening revealed the rare strains suitable as texturing agents (Poulsen, Derkx and Oregaard 2019). Genome analysis contributed to the selection of starters as processing aids for cheese in order to avoid strains producing biogenic amines (Markusková et al. 2018). Comparetive genome analysis was used by Andersen, Pedersen and Bang-Berthelsen (2019) to investigate the role of mobile genetic elements in strain evolution and adaption of metabolic capabilities. Bacteriophages are receiving renewed interest these years, both for e.g. clinical purposes, but also for plant protection where Carstens et al. (2019) demonstrate the potential of a 6 strain phage cocktail to reduce Pectobacterium atrosepticum soft rot infection in potato tubers possibly reducing postharvest losses. The role of probiotics and synbiotics as tools to improve health in production animals is addressed by Skjøt-Rasmussen et al. (2019) describing in ovo administration of probiotics to obtain colonization of the young chicken from the time of hatching and by Śliżewska et al. (2019) reporting on the effect of synbiotics on broiler chicken. The crucial role of the gut microbiome in human health and disease has become evident over the latest decade and Akkermansia muciniphila has emerged as a potential next-generation probiotic. However, oxygen sensitivity and limited stability at room or even refrigeration temperature of this bacterium makes logistics difficult when conducting e.g. clinical trials. Marcial-Coba et al. (2019) elegantly demonstrate that chocolate can be used as an efficient carrier of A. muciniphila even offering protection against the stress encountered during passage of the upper gastro-intestinal tract. The complex microbial community of a traditional Ethiopian fermented dairy product Dhanaan was analyzed by metagenomics methods in order to assess safety and to identify candidates of lactic acid bacteria as potential starter cultures for camel dairy products (Berhe et al. 2019). The current opinion paper by Hartmann, Behrendt and Frøst (2019) presents the view that fermentation can be a driver for innovation in gastronomy. This commentary is establishing a bridge between microbiology and the pleasures of life and the paper captures that microorganisms can provide novel functionalities and remain rooted in tradition. Plenty of aspects of Microbial Food and Feed Ingredients have not been covered in this thematic issue. We hope that those large white areas on the map can inspire novel contributions at the next MIFFI conference in 2020. We look forward to seeing you at MIFFI2020. Conflicts of interests. None declared.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,034
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,029
Score d'incertitude au seuil0,048

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,034
Méta-épidémiologie (sens strict)0,0050,002
Méta-épidémiologie (sens large)0,0050,003
Bibliométrie0,0050,002
Études des sciences et des technologies0,0040,004
Communication savante0,0120,006
Science ouverte0,0050,003
Intégrité de la recherche0,0290,024
Charge utile insuffisante (le modèle a refusé de juger)0,0140,011

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.

Tête enseignante Opus0,009
Tête enseignante GPT0,189
Écart entre enseignants0,180 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentnon

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