Search results for "IGE"

showing 10 items of 17476 documents

Application of hydrolases and probiotic Pediococcus acidilactici BaltBio01 strain for cereal by-products conversion to bioproduct for food/feed

2017

The aim of this study was to apply the enzymatic treatment and fermentation by Pediococcus acidilactici BaltBio01 strain for industrial cereal by-products conversion to food/feed bioproducts with high amount of probiotic lactic acid bacteria (LAB). LAB propagated in potato media and spray-dried remained viable during 12months (7.0 log10 cfu/g) of storage and was used as a starter for cereal by-products fermentation. The changes of microbial profile, biogenic amines (BAs), mycotoxins, lactic acid (Lþ/D), lignans and alkylresorcinols (ARs) contents in fermented cereal by-product were analysed. Cereal by-products enzymatic hydrolysis before fermentation allows to obtain a higher count of LAB d…

0106 biological sciencesAlkylationFood HandlingHydrolases01 natural sciencesmycotoxinlaw.inventionProbioticchemistry.chemical_compoundbiogenic aminelawBioproductscereal by-productFood scienceenzymatic hydrolysiStrain (chemistry)Hydrolysisdigestive oral and skin physiologyfood and beverages04 agricultural and veterinary sciences040401 food scienceFermented FoodslignanBiogenic AminesIndustrial WasteFood ContaminationBiologyLignans0404 agricultural biotechnology010608 biotechnologyEnzymatic hydrolysisAnimalsHumansFood-Processing IndustryMycotoxinPediococcus acidilacticiMicrobial Viabilitybusiness.industryProbioticsPediococcus acidilacticiResorcinolsMycotoxinsbiology.organism_classificationAnimal FeedLatviaBiotechnologychemistryFermentationbacteriaFood AdditivesFermentationalkylresorcinolEdible GrainbusinessFood ScienceInternational Journal of Food Sciences and Nutrition
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Potential use of machine learning methods in assessment of Fusarium culmorum and Fusariumproliferatum growth and mycotoxin production in treatments w…

2021

Abstract The use of Fusarium-controlling fungicides is necessary to limit crop loss. Little is known about the effect of commercial antifungal formulations at sub-lethal doses, and their interaction with abiotic factors, on Fusarium culmorum and F. proliferatum development and on zearalenone and fumonisin biosynthesis, respectively. In the present study different treatments based on sulfur, trifloxystrobin and demethylation inhibitor fungicides (cyproconazole, tebuconazole and prothioconazole) under different environmental conditions, in Maize Extract Medium (MEM), are assayed in vitro. Then, several machine learning methods (neural networks, random forest and extreme gradient boosted trees…

0106 biological sciencesAntifungal AgentsWater activityBiologyMachine learningcomputer.software_genre01 natural sciencesFumonisinsZea maysMachine Learning03 medical and health scienceschemistry.chemical_compoundFusariumFumonisinGeneticsFusarium culmorumMycotoxinZearalenoneEcology Evolution Behavior and Systematics030304 developmental biologyTebuconazoleAbiotic component0303 health sciencesbusiness.industryfood and beveragesbiology.organism_classificationFungicideInfectious DiseaseschemistryArtificial intelligencebusinesscomputer010606 plant biology & botanyFungal biology
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Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs…

2020

Abstract Image processing and artificial intelligence (AI) techniques have been applied to analyze, evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A total of 577 mulberries were graded by an expert and the images were captured by an imaging system. Then, the geometrical properties, color, and texture characteristics of each segmented mulberry was extracted using two feature reduction methods: Correlation-based Feature Selection subset (CFS) and Consistency subset (CONS). Artificial Neural Networks (ANN) and Support Vector Machine (SVM) were applied to classify mulberry fruit. ANN classification with the CFS subset feature extraction method res…

0106 biological sciencesArtificial neural networkbusiness.industryFeature extractionPattern recognitionFeature selectionImage processing04 agricultural and veterinary sciencesHorticulturecomputer.software_genreRipeness01 natural sciencesExpert system040501 horticultureMachine vision systemSupport vector machineArtificial intelligence0405 other agricultural sciencesbusinessAgronomy and Crop Sciencecomputer010606 plant biology & botanyFood ScienceMathematicsPostharvest Biology and Technology
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Photochemical Mineralization of Terrigenous DOC to Dissolved Inorganic Carbon in Ocean

2018

0106 biological sciencesAtmospheric ScienceGlobal and Planetary Change010504 meteorology & atmospheric sciencesTerrigenous sediment010604 marine biology & hydrobiologyMineralization (soil science)01 natural sciencesNatural organic matterColored dissolved organic matterEnvironmental chemistryDissolved organic carbonEnvironmental ChemistryEnvironmental science0105 earth and related environmental sciencesGeneral Environmental ScienceGlobal Biogeochemical Cycles
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Regional endothermy as a trigger for gigantism in some extinct macropredatory sharks

2017

Otodontids include some of the largest macropredatory sharks that ever lived, the most extreme case being Otodus (Megaselachus) megalodon. The reasons underlying their gigantism, distribution patterns and extinction have been classically linked with climatic factors and the evolution, radiation and migrations of cetaceans during the Paleogene. However, most of these previous proposals are based on the idea of otodontids as ectothermic sharks regardless of the ecological, energetic and body size constraints that this implies. Interestingly, a few recent studies have suggested the possible existence of endothermy in these sharks thus opening the door to a series of new interpretations. Accord…

0106 biological sciencesAtmospheric ScienceTeethPhysiologylcsh:MedicinePredationOxygen Isotopes01 natural sciencesBody TemperatureEndocrinologyMedicine and Health SciencesBody Sizelcsh:ScienceChondrichthyesClimatologyMultidisciplinaryEcologyMegalodonbiologyFossilsEcologyTemperatureEukaryotaOtodusBiological EvolutionTrophic InteractionsSwimming speedPhysiological ParametersCommunity EcologyEctothermVertebratesAnimal FinsAnatomyPaleotemperatureResearch Article010506 paleontologyEndocrine DisordersActive modePaleontologiaBody sizeExtinction BiologicalModels Biological010603 evolutionary biologyGigantismOxygen ConsumptionmedicineAnimalsPaleoclimatologySwimming0105 earth and related environmental sciencesExtinctionBiological Locomotionlcsh:REcology and Environmental SciencesOrganismsBiology and Life SciencesPaleontologymedicine.diseasebiology.organism_classificationGigantismFishJawSharksEarth Scienceslcsh:QToothDigestive SystemHeadElasmobranchiiPLOS ONE
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A Knowledge-Based System as a Sustainable Software Application for the Supervision and Intelligent Control of an Alcoholic Fermentation Process

2020

One goal of specialists in food processing is to increase production efficiency in accordance with sustainability by optimising the consumption of raw food materials, water, and energy. One way to achieve this purpose is to develop new methods for process monitoring and control. In the winemaking industry, there is a lack of procedures regarding the common work based on knowledge acquisition and intelligent control. In the present article, we developed and tested a knowledge-based system for the alcoholic fermentation process of white winemaking while considering the main phases: the latent phase, exponential growth phase, and decay phase. The automatic control of the white wine&rsquo

0106 biological sciencesAutomatic controlComputer scienceGeography Planning and DevelopmentTJ807-830BiomassManagement Monitoring Policy and LawEthanol fermentationTD194-19501 natural sciencesRenewable energy sourcesKnowledge-based systems0404 agricultural biotechnology010608 biotechnologyBioreactorGE1-350knowledge-based systemProcess engineeringWinemakingEnvironmental effects of industries and plantsRenewable Energy Sustainability and the Environmentbusiness.industrysustainable intelligent controlProcess (computing)food and beverages04 agricultural and veterinary sciences040401 food scienceKnowledge acquisitionSubstrate concentrationwinemakingEnvironmental sciencesalcoholic fermentation processFood processingFermentationbusinessIntelligent controlSustainability
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Carbon, iron and sulphur cycling in the sediments of a Mediterranean lagoon (Ghar El Melh, Tunisia)

2019

Coastal lagoon sediments are important for the biogeochemical carbon cycle at the land-ocean transition, as they form hotspots for organic carbon burial, as well as potential sites for authigenic carbonate formation. Here, we employ an early diagenetic model to quantify the coupled redox cycling of carbon, iron and sulphur in the sediments of the shallow Ghar El Melh (GEM) lagoon (Tunisia). The model simulated depth profiles show a good correspondence with available pore water data (dissolved inorganic carbon, NH 4 + , total alkalinity, Ca 2+ , Fe 2+ and SO 4 2− ) and solid phase data (organic matter, pyrite, calcium carbonate and iron (oxyhydr)oxides). This indicates that the model is abl…

0106 biological sciencesBiogeochemical cycle010504 meteorology & atmospheric scienceschemistry.chemical_elementAquatic ScienceOceanography01 natural sciencesCarbon cyclechemistry.chemical_compoundMarine sedimentsAuthigenic carbonate formationDissolved organic carbonOrganic matter14. Life underwaterBiologyEarly diagenesis0105 earth and related environmental scienceschemistry.chemical_classificationTotal organic carbon010604 marine biology & hydrobiologyAuthigenicPyrite formationchemistry13. Climate actionEnvironmental chemistry[SDE]Environmental SciencesEnvironmental scienceCarbonateCarbonSciences exactes et naturelles
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Biometric Fish Classification of Temperate Species Using Convolutional Neural Network with Squeeze-and-Excitation

2019

Our understanding and ability to effectively monitor and manage coastal ecosystems are severely limited by observation methods. Automatic recognition of species in natural environment is a promising tool which would revolutionize video and image analysis for a wide range of applications in marine ecology. However, classifying fish from images captured by underwater cameras is in general very challenging due to noise and illumination variations in water. Previous classification methods in the literature relies on filtering the images to separate the fish from the background or sharpening the images by removing background noise. This pre-filtering process may negatively impact the classificat…

0106 biological sciencesBiometricsComputer sciencebusiness.industry010604 marine biology & hydrobiologyPattern recognitionSharpening010603 evolutionary biology01 natural sciencesConvolutional neural networkBackground noiseA priori and a posterioriArtificial intelligenceUnderwaterbusinessTransfer of learningClassifier (UML)
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Positive effect of platelet rich fibrin on osseointegration

2016

Background Leukocyte-platelet rich fibrin (L-PRF) is a second generation platelet concentrate clinically used to accelerate tissue healing and bone regeneration. Achieving reduced implant osseointegration time could provide immediate or early loading of implants. The aim of this study was to evaluate the L-PRF-induced osseointegration and bone-implant contact (BIC) in an experimental animal model. Material and Methods Twelve 4-month-old New Zealand white rabbits were used. Following general anesthesia, 3-5 mL of blood was obtained from the central artery in rabbit ear and L-PRF was prepared. Two implant cavities (5 mm long and 3 mm in diameter) were created in each tibia with a total of fou…

0106 biological sciencesBone RegenerationDentistry01 natural sciencesOsseointegrationFibrin03 medical and health sciences0302 clinical medicineOsseointegrationPlatelet-Rich Fibrin010608 biotechnologyEarly loadingAnimalsMedicinePlatelet concentrateBone regenerationMatrix for growth factorsGeneral DentistryDental ImplantsFibrinbiologybusiness.industryResearch030206 dentistry:CIENCIAS MÉDICAS [UNESCO]digestive system diseasesPlatelet-rich fibrinExperimental animalOtorhinolaryngologyUNESCO::CIENCIAS MÉDICASbiology.proteinSurgeryRabbitsImplantOral SurgerybusinessPlatelet rich fibrinMedicina Oral Patología Oral y Cirugia Bucal
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Identification of Casein Phosphopeptides in β-casein and Commercial Hydrolysed Casein by Mass Spectrometry

2006

Casein phosphopeptides (CPPs) in commercial hydrolysed casein (CE90CPP) and in β-CN (β-CN) after simulated gastrointestinal digestion (gastric stage pepsin, pH =2, 37°C 2h) and intestinal stage (pancreatic-bile extract, pH =5.2, 37°C 2h) were sequenced by on-line reversed-phase high performance liquid chromatography coupled to electrospray ionisation tandem mass spectrometry (RP-HPLC-ESIMS/MS). In β-CN digest five peptides that contained four to five phosphate groups and the cluster sequence SpSpSpEE (residues 17-21) were identified. All CPPs with one exception β-CN(1-24)4P, had the protein fragment β-CN(1-25)4P, which is one of the main CPPs produced in vivo digestion of casein and the re…

0106 biological sciencesChromatographybiologyPhosphopeptideChemistryGeneral Chemical Engineering04 agricultural and veterinary sciencesMass spectrometryTandem mass spectrometry040401 food science01 natural sciencesHigh-performance liquid chromatographyIndustrial and Manufacturing Engineering0404 agricultural biotechnologyPepsinBiochemistry010608 biotechnologyCaseinbiology.proteinProtein FragmentDigestionFood ScienceFood Science and Technology International
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