Search results for "Fungal contamination"

showing 4 items of 4 documents

Development of an UHPLC-Q-Orbitrap HRMS method for simultaneous determination of mycotoxins and isoflavones in soy-based burgers

2019

Abstract Soy-based burgers, an option of meatless hamburger-style, are basically made with soy protein, wholegrains and veggies. However, some ingredients, such as cereals and soybean, are particularly susceptible to fungal contamination. Therefore, a fast and simple procedure for the simultaneous determination of isoflavones (n=12) and mycotoxins (n=21) in soy-based burgers was developed throughout an acetonitrile-based extraction and UHPLC-Q-Exactive Orbitrap HRMS determination for the first time. The procedure was properly validated in terms of linearity, accuracy (recovery range from 78 to 108%) and precision (RSD

0106 biological sciencesChromatographyFungal contamination04 agricultural and veterinary sciencesIsoflavonesOrbitrap040401 food science01 natural scienceslaw.inventionchemistry.chemical_compound0404 agricultural biotechnologychemistrylaw010608 biotechnologyMycotoxinSoy proteinFood ScienceLWT
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Bibliometric analysis of European publications between 2001 and 2016 on concentrations of selected elements in mushrooms.

2020

This article presents a bibliometric study of 200 European publications released between 2001 and 2016, about the contamination of mushrooms by selected elements. The analysis includes figures on the type of analyte, its concentration, the species of fungi, and its country of origin. In the literature review, 492 species of mushrooms (wild-growing and cultured) found in 26 European countries and their concentration of 74 associated elements were analysed. The papers, which dealt mainly with the heavy metal (Cd, Cu, Fe, Pb, and Zn) concentrations of mushrooms, primarily came from Turkey, Poland, Spain, and the Czech Republic. More than 50% of the publications provided data about edible mushr…

Bibliometric analysisTurkeyMushroomsHealth Toxicology and MutagenesisFungal contaminationReview ArticleReview010501 environmental sciences01 natural sciencesToxicologyHuman health0404 agricultural biotechnologyBibliometric analysisMetals HeavyEnvironmental ChemistryHumansSoil Pollutants0105 earth and related environmental sciencesCzech RepublicEuropean researchHeavy metals04 agricultural and veterinary sciencesGeneral Medicine040401 food sciencePollutionEuropeGeographyHeavy metalsBibliometricsSpainPolandAgaricalesEnvironmental MonitoringEnvironmental science and pollution research international
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Dynamics of fungal colonization in a new medical mycology laboratory

2012

International audience; Objective of the study. - Study of the spatio-temporal fungal colonization in a new medical mycology laboratory. Methods. - A 17-month survey of airborne fungal contamination was conducted in a new medical mycology laboratory at a tertiary care university hospital. This survey was implemented at three different periods: before the new premises were occupied (period A), during the move into the new laboratory (period B) and after resumption of the mycological activities in these new premises (period C). Results. - During period A, the airborne fungal load ranged from 2.3 to 6 cfu/m(3). The most frequently recovered airborne fungi were Penicillium spp. (75 to 100%). Du…

Fungal contaminationFilamentous fungiMedical mycology[SDV]Life Sciences [q-bio]Fungal contaminationAir MicrobiologyColony Count MicrobialMycologyAspergillus fumigatusConidiumMicrobiology03 medical and health sciences0302 clinical medicineFungal colonization[SDV.BV]Life Sciences [q-bio]/Vegetal BiologyHumansMedical mycology laboratory030212 general & internal medicine0303 health sciencesAspergillusbiology030306 microbiologyAspergillus fumigatusFungiPenicilliumLaboratories Hospitalbiology.organism_classificationPenicillium chrysogenumAspergillusInfectious DiseasesPenicillium spp.[SDE]Environmental SciencesPenicilliumHospital UnitsEnvironmental MonitoringJournal de Mycologie Médicale
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Neural network models for prediction of trichothecene content in wheat

2008

Fusarium graminearum is a mould that causes serious diseases in cereals worldwide and that synthesises mycotoxins such as deoxynivalenol (DON), which can seriously affect human and animal health. Predicting the level of mycotoxin accumulation in food is very difficult, because of the complexity of the influencing parameters. In this work, we have studied the possibility of using artificial neural networks (NN) to predict DON level attained in F. graminearum wheat cultures taking as inputs the fungal contamination level of the cereal, the water activity as a measure of the available water for fungal growth in the cereal, the temperature and time. DON analysis was performed by gas chromatogr…

Fungal growthAnimal healthArtificial neural networkFungal contaminationTrichothecenePublic Health Environmental and Occupational Healthfood and beveragesToxicologyPerceptronCereal grainchemistry.chemical_compoundchemistryAgronomyBiological systemMycotoxinFood ScienceMathematicsWorld Mycotoxin Journal
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