Search results for "Phenol"

showing 10 items of 2273 documents

Oxidative stability of virgin olive oil: evaluation and prediction with an adaptive neuro-fuzzy inference system (ANFIS).

2019

Background An adaptive neuro-fuzzy inference system (ANFIS) was employed to predict the oxidative stability of virgin olive oil (VOO) during storage as a function of time, storage temperature, total polyphenol, α-tocopherol, fatty acid profile, ultraviolet (UV) extinction coefficient (K268 ), and diacylglycerols (DAGs). Results The mean total quantities of polyphenols and DAGs were 1.1 and 1.9 times lower in VOOs stored at 25 °C than in the initial samples, and the mean total quantities of polyphenols and DAGs were 1.3 and 2.26 times lower in VOOs stored at 37 °C than in the initial samples, respectively. In a single sample, α-tocopherol was reduced by between 0.52 and 0.91 times during sto…

030309 nutrition & dieteticsInference systemalpha-TocopherolSingle sampleStability (probability)Diglycerides03 medical and health sciences0404 agricultural biotechnologyFood scienceOlive OilMathematics0303 health sciencesAdaptive neuro fuzzy inference systemNutrition and DieteticsQuality assessmentFatty AcidsTemperaturePolyphenols04 agricultural and veterinary sciencesModels Theoretical040401 food scienceFood StorageNonlinear modelAgronomy and Crop ScienceHybrid learning algorithmOxidation-ReductionFood ScienceBiotechnologyOlive oilJournal of the science of food and agricultureREFERENCES
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Quality and volatile compounds in red wine at different degrees of dealcoholization by membrane process

2019

This study investigated the effect of different degrees of dealcoholization on volatile compounds, phenols and sensory characteristics of red wine (cv. Montepulciano d’Abruzzo). The wine with an initial alcohol content of 13.2% v/v was partially dealcoholized by membrane process with a decrease of alcohol degree as follows: − 4.9; − 6.3; − 7.8, − 9.2 and − 10.5% v/v. Osmotic distillation has proved effective in preserving a satisfactory odorous profile, as samples with an alcohol residue of 8.3% v/v (− 4.9%) and 6.9% v/v (− 6.3%) showed good esters retention: more than 84% and 82%, respectively. Similarly, colour and taste, evaluated by flavonoids and phenolic compounds, remained almost unc…

030309 nutrition & dieteticsPhenolic compoundAroma compoundSensory analysiAlcoholWineBiochemistrySensory analysisIndustrial and Manufacturing Engineeringlaw.invention03 medical and health scienceschemistry.chemical_compound0404 agricultural biotechnologylawAlcohol contentPhenolsFood scienceDistillationWine0303 health sciencesChemistryMembrane04 agricultural and veterinary sciencesGeneral ChemistryAroma compounds; Dealcoholization; Membrane; Phenolic compounds; Sensory analysis; WineSensory analysis040401 food sciencePhenolic compoundsDealcoholized wineMembraneAroma compoundsDealcoholizationFood ScienceBiotechnology
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Formation of 2,4,6-trichlorophenol and 2,4,6-trichloroanisole during treatment and distribution of drinking water

1995

Biomethylation of 2,4,6-trichlorophenol to the potent off-flavour compound 2,4,6-trichloroanisole has previously been found to cause taste and odour problems in drinking water. In the present study, both compounds were detected in seemingly unpolluted surface waters. However, the highest concentrations of 2,4,6-trichloroanisole in tap water were caused by the formation of 2,4,6-trichlorophenol during chlorine disinfection of drinking water and subsequent methylation of this compound in the distribution system. Analysis of samples from several sites in the investigated distribution systems showed that there was a substantial spatial and temporal variation of the concentration of both 2,4,6-t…

246-TrichloroanisoleEnvironmental EngineeringOff-flavourchemistry.chemical_elementchemistry.chemical_compoundchemistryTap waterEnvironmental chemistry246-TrichlorophenolChlorineWater treatmentGas chromatographyPhenolsWater Science and TechnologyWater Science and Technology
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CCDC 1001222: Experimental Crystal Structure Determination

2014

Related Article: G.P. Spaleniak, E. Bisz, M. Białek, B. Zarychta|2014|Acta Crystallogr.,Sect.E:Struct.Rep.Online|70|o678|doi:10.1107/S1600536814010241

24-di-t-butyl-6-(((2-(dimethylamino)ethyl)(2-hydroxybenzyl)amino)methyl)phenolSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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CCDC 1528782: Experimental Crystal Structure Determination

2017

Related Article: M. K. Hossain, M. Haukka, R. Sillanpää, D. A. Hrovat, M. G. Richmond, E. Nordlander, A. Lehtonen|2017|Dalton Trans.|46|7051|doi:10.1039/C7DT00846E

24-di-t-butyl-6-{[(2-hydroxy-2-phenylethyl)amino]methyl}phenolSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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Solvent dependence of the νs(OD) bandshape in 2,6-dichlorophenol

1994

Abstract The infrared bandshape of νs(OD) of 2,6-dichlorophenol is measured in a series of solvents of increasing polarity, and is quantitatively analysed. The bandshape is described in terms of band indices, moments, correlation functions and correlation times. A distinct solvent dependence of bandshape and relaxation parameters has been found. The changes of the νs(OD) bandshape with increasing solvent polarity are compared in detail with those obtained earlier for analogous solvents for νs(OH) of 2,6-dichlorophenol. The overall behaviour of the spectral and relaxation parameters is similar, but the changes are less distinct for the weaker OD ⋯ Cl bond.

26-DichlorophenolInfraredPolarity (physics)Organic ChemistryRelaxation (NMR)Analytical chemistryInfrared spectroscopyAnalytical ChemistryInorganic ChemistrySolventchemistry.chemical_compoundchemistrySolvent polarityOrganic chemistrySolvent effectsSpectroscopyJournal of Molecular Structure
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CCDC 2060887: Experimental Crystal Structure Determination

2021

Related Article: Lucija Ptiček, Lucija Hok, Petra Grbčić, Filip Topić, Mario Cetina, Kari Rissanen, Sandra Kraljević Pavelić, Robert Vianello, Livio Racané|2021|Org.Biomol.Chem.|19|2784|doi:10.1039/D1OB00235J

2-amino-4-[amino(iminio)methyl]phenolate dihydrateSpace GroupCrystallographyCrystal SystemCrystal StructureCell ParametersExperimental 3D Coordinates
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Crop Phenology Retrieval Through Gaussian Process Regression

2021

Monitoring crop phenology significantly assists agricultural managing practices and plays an important role in crop yield predictions. Multi-temporal satellite-based observations allow analyzing vegetation seasonal dynamics over large areas by using vegetation indices or deriving biophysical variables. This study presents a framework for automatic corn phenology characterization based on high spatial and temporal resolution time series. By using the Difference Vegetation Index (DVI) estimated from Sentinel-2 data over Iowa (US), independent phenological models were optimized using Gaussian Processes regression. Their respective performances were assessed based on simulated phenological indi…

2. Zero hunger010504 meteorology & atmospheric sciencesMean squared errorPhenology0211 other engineering and technologies02 engineering and technologyVegetation15. Life on land01 natural sciencesRegressionsymbols.namesakeKrigingTemporal resolutionStatisticssymbolsTime seriesGaussian process021101 geological & geomatics engineering0105 earth and related environmental sciencesMathematics2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS
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Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data

2008

Abstract The derivation of leaf area index (LAI) from satellite optical data has been the subject of a large amount of work. In contrast, few papers have addressed the effective model inversion of high resolution satellite images for a complete series of data for the various crop species in a given region. The present study is focused on the assessment of a LAI model inversion approach applied to multitemporal optical data, over an agricultural region having various crop types with different crop calendars. Both the inversion approach and data sources are chosen because of their wide use. Crops in the study region (Barrax, Castilla–La Mancha, Spain) include: cereal, corn, alfalfa, sugar bee…

2. Zero hunger010504 meteorology & atmospheric sciencesPhenology0211 other engineering and technologiesSoil ScienceInverse transform samplingGeologyInversion (meteorology)02 engineering and technology15. Life on land01 natural sciencesNormalized Difference Vegetation IndexCropEnvironmental sciencePlant coverComputers in Earth SciencesLeaf area indexEmpirical relationship021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Capillary Electrophoresis in Wine Science

2016

International audience; Capillary electrophoresis appeared to be a powerful and reliable technique to analyze the diversity of wine compounds. Wine presents a great variety of natural chemicals coming from the grape berry extraction and the fermentation processes. The first and more abundant after water, ethanol has been quantified in wines via capillary electrophoresis. Other families like organic acids, neutral and acid sugars, polyphenols, amines, thiols, vitamins, and soluble proteins are electrophoretically separated from the complex matrix.Here, we will focus on the different methodologies that have been employed to conduct properly capillary electrophoresis in wine analysis.Two examp…

2. Zero hungerWineChemistryWine compounds010401 analytical chemistryfood and beveragesPolyphenolsProteins04 agricultural and veterinary sciences040401 food science01 natural sciencesVineyard0104 chemical sciencesProtein profilingCapillary electrophoresis0404 agricultural biotechnologyCapillary electrophoresisPolyphenol[SDV.IDA]Life Sciences [q-bio]/Food engineeringGrape berryFermentationWine chemistryFood scienceSulfur compounds
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