MétaCan
Menu
Retour à la cohorte
Enregistrement W7066149195

Evaluación de la exposición de la población valenciana a micotoxinas a través de un estudio de dieta total

2019· dissertation· en· W7066149195 sur OpenAlexaboutno aff

Notice bibliographique

RevueRepository of Digital Objects for Teaching Research and Culture (University of Valencia) · 2019
Typedissertation
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueMycotoxins in Agriculture and Food
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMycotoxinQuechersZearalenoneOchratoxin AExtraction (chemistry)AflatoxinFood contaminantTrichothecene
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Diet is the main source of mycotoxins for man. Mycotoxigenic fungi can contaminate plant products in field, during storage or in processing. Although mycotoxins are mostly thermostable, evaluating their presence in the different components of our diet including ready-to-eat vegetable or animal dishes, as well as in dairy products, juices and alcoholic beverages is a necessary step for a better assessment of the risks associated with mycotoxin presence and to take measures to protect the health of consumers. In the first place, a bibliographic review was carried out in this thesis including eighteen total diet studies carried out in Canada, China, France, Ireland, Lebanon, New Zealand, Spain, the Netherlands, Viet Nam, and Spain, showing the growing interest in exposure assessment to mycotoxins through diet. Likewise, different analytical procedures based on gas chromatography and liquid both coupled to tandem mass spectrometry were developed and validated. Different extraction techniques have been used; QuEChERS method that gave very good results for cereals, vegetables, fruits, nuts, legumes, meat, fish and milk, while the liquid-liquid extraction was used for coffee and the liquid-liquid dispersive microextraction for beer, wine, juices and teas. The proposed methodologies have been validated according to European regulations with satisfactory results in terms of linearity, accuracy, precision and limits of detection and quantification. The results showed that 49% of the 328 menu dishes ready for consumption contained at least one mycotoxin. The mycotoxins most frequently detected were deoxynivalenol, neosolaniol, HT-2 toxin and alternariol. 53% of 110 alcoholic beverages have shown simultaneous presence of more than one mycotoxin reaching up to ten, mainly of trichothecenes, aflatoxins, zearalenone, patulin and Alternaria toxins with sums of concentrations ranging between 5.50 μg / L and 180.15 μg / L. The concentrations of the mycotoxins detected in the food are below the maximum limits established except for a sample of wine that exceeded the levels established for OTA (2 μg / L). An evaluation of the exposure was carried out taking into account the results obtained and the consumption data, and a special mention was made to the consumption according to the recommendations of the Mediterranean diet. The technique of multivariate statistical analysis of the principal components analysis (PCA) was used to interpret the results in terms of the contribution of the analyzed foods to the ingestion of mycotoxins studied. The results showed a greater contribution of legumes to the intake of HT-2 and βZAL, of meat to the intake of OTA, of beer to the intake of AOH, βZAL and DON, of fruit juices to the intake of PAT as well as of dried fruits to the intake of NIV. In addition, the characterization of the risk has been made by comparing the estimated daily intake with toxicological parameters of tolerable daily intake, obtaining a low risk for most of the food ready for consumption. However, the detection of mycotoxins, although at low levels, highlights the need to include mycotoxin monitoring in total diet studies. Diet is the main source of mycotoxins for man. Mycotoxigenic fungi can contaminate plant products in field, during storage or in processing. Although mycotoxins are mostly thermostable, evaluating their presence in the different components of our diet including ready-to-eat vegetable or animal dishes, as well as in dairy products, juices and alcoholic beverages is a necessary step for a better assessment of the risks associated with mycotoxin presence and to take measures to protect the health of consumers. In the first place, a bibliographic review was carried out in this thesis including eighteen total diet studies carried out in Canada, China, France, Ireland, Lebanon, New Zealand, Spain, the Netherlands, Viet Nam, and Spain, showing the growing interest in exposure assessment to mycotoxins through diet. Likewise, different analytical procedures based on gas chromatography and liquid both coupled to tandem mass spectrometry were developed and validated. Different extraction techniques have been used; QuEChERS method that gave very good results for cereals, vegetables, fruits, nuts, legumes, meat, fish and milk, while the liquid-liquid extraction was used for coffee and the liquid-liquid dispersive microextraction for beer, wine, juices and teas. The proposed methodologies have been validated according to European regulations with satisfactory results in terms of linearity, accuracy, precision and limits of detection and quantification. The results showed that 49% of the 328 menu dishes ready for consumption contained at least one mycotoxin. The mycotoxins most frequently detected were deoxynivalenol, neosolaniol, HT-2 toxin and alternariol. 53% of 110 alcoholic beverages have shown simultaneous presence of more than one mycotoxin reaching up to ten, mainly of trichothecenes, aflatoxins, zearalenone, patulin and Alternaria toxins with sums of concentrations ranging between 5.50 μg / L and 180.15 μg / L. The concentrations of the mycotoxins detected in the food are below the maximum limits established except for a sample of wine that exceeded the levels established for OTA (2 μg / L). An evaluation of the exposure was carried out taking into account the results obtained and the consumption data, and a special mention was made to the consumption according to the recommendations of the Mediterranean diet. The technique of multivariate statistical analysis of the principal components analysis (PCA) was used to interpret the results in terms of the contribution of the analyzed foods to the ingestion of mycotoxins studied. The results showed a greater contribution of legumes to the intake of HT-2 and βZAL, of meat to the intake of OTA, of beer to the intake of AOH, βZAL and DON, of fruit juices to the intake of PAT as well as of dried fruits to the intake of NIV. In addition, the characterization of the risk has been made by comparing the estimated daily intake with toxicological parameters of tolerable daily intake, obtaining a low risk for most of the food ready for consumption. However, the detection of mycotoxins, although at low levels, highlights the need to include mycotoxin monitoring in total diet studies.

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)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,015
Tête enseignante GPT0,283
Écart entre enseignants0,268 · 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'étudeObservationnel
Domainenon disponible
GenreEmpirique

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 présentoui

Explorer davantage

Même revueRepository of Digital Objects for Teaching Research and Culture (University of Valencia)Même sujetMycotoxins in Agriculture and FoodTravaux en français237 207