Search results for "Biological system"

showing 10 items of 319 documents

Interaction of food matrix with small ligands influencing flavour and texture

2000

International audience

Chemistry010401 analytical chemistryFlavour04 agricultural and veterinary sciencesGeneral Medicine[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food science01 natural sciencesTexture (geology)0104 chemical sciencesAnalytical ChemistryMatrix (mathematics)0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringFood scienceBiological systemComputingMilieux_MISCELLANEOUSFood ScienceFood Chemistry
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Development of a dielectric spectroscopy technique for the determination of apple (Granny Smith) maturity

2010

Abstract Dielectric measurements of apple were done during its maturity in order to find relations with apple physiological compounds (sugar content, malic acid). An Agilent 85070E open-ended coaxial probe connected to an Agilent E8362B vector network analyzer were used in these experiments. All determinations were made at 30 °C from 500 MHz to 20 GHz. These assays were performed in order to consider the potential use of dielectric spectroscopy for determining the state of fruit maturity. Good correlations among apples Thiault Index with a new defined Dielectric Maturity Index were found. The Dielectric Maturity Index was related to loss factor at two punctual frequencies (0.5 GHz and dipol…

ChemistryAnalytical chemistryGeneral ChemistryDielectricMaturity (finance)Industrial and Manufacturing EngineeringDielectric spectroscopyCoaxial probeNon destructiveResearch articleClimactericBiological systemControl methodsFood ScienceInnovative Food Science & Emerging Technologies
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Distributions of oxygen, nutrient, and metabolic waste concentrations in multicellular spheroids and their dependence on spheroid parameters.

1991

The distribution of oxygen, nutrients and metabolic wastes in multicellular tumor spheroids and its dependence on the parameters characterizing the spheroid (i.e., spheroid geometry, diffusivity, and consumption/production rates of biological substances) have been investigated by a theoretical analysis: 1. Parameter dependence is qualitatively demonstrated and visualized. 2. Reduction of the number of variables by specific coordinate transformations made it possible to generate nomograms from which concentration distributions for any choice of parameter values may easily be obtained. In particular, these nomograms may also be used for estimating concentration profiles of metabolic waste pro…

ChemistryCell SurvivalQuantitative Biology::Tissues and OrgansBiophysicsAnalytical chemistrySpheroidchemistry.chemical_elementGeneral MedicineModels TheoreticalThermal diffusivityOxygenCell aggregationCell HypoxiaDiffusionOxygenNutrientembryonic structuresTumor Cells CulturedMulticellular spheroidMetabolic wasteDiffusion (business)Biological systemCell AggregationHydrogenEuropean biophysics journal : EBJ
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Host—Guest Interactions Involving Cyclodextrins: Useful Complementary Insights Achieved by Polarimetry.

2007

Abstract By means of simple polarimetry, we studied the binding abilities of native α-, β-, and γ-cyclodextrins toward a group of suitably chosen model guests. We were able to get reliable estimations of the binding constants K, spread over a wide range (from 3.7 to 12,300 M−1), allowing us to carry on interesting comparisons. A comprehensive discussion of polarimetric data, and in particular a detailed analysis of the variations ΔΘ of molar optical activities consequent to inclusion, offered us the opportunity to get useful insights into the structure and dynamic behavior of host–guest complexes.

ChemistryOrganic ChemistryDrug DiscoveryPolarimetryOrganic chemistrycyclodextrin binding abilityHost-guest interactionSettore CHIM/06 - Chimica OrganicaGeneral MedicineHost-guest interactions; cyclodextrin binding abilityBiological systemBiochemistryHost (network)ChemInform
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Influence of Micromixing on Microorganisms and Products

2001

The influence of mixing intensity as well as physical and chemical parameters on the cells of different microorganisms and the biosynthesis process is examined in this paper. Some reactions of cells effecting mixing intensity are described, such as retarded biomass growth, changes in aggregation and mutual arrangement of cells, morphological changes of cells and decreasing of biological activity, caused by an increased intensity of turbulence (turbohypobiosis). Several methods for investigating the local energy in reactors are compared. It is concluded that conventional methods of hydrodynamic analysis do not always allow valid results for the optimization of the mixing regime to be obtaine…

ChemistryStereochemistryMixing (process engineering)BiomassBioengineeringApplied Microbiology and BiotechnologyMicromixingYield (chemistry)Scientific methodProcess optimizationAerationBiological systemIntensity (heat transfer)BiotechnologyActa Biotechnologica
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Application of infrared spectroscopy as Process Analytics Technology (PAT) approach in biodiesel production process utilizing Multivariate Curve Reso…

2019

Abstract Process Analytical Technology means at-line collection of analytical information from the process when the reaction is in progress. Obtained information enables process engineers to better control the Critical Process Parameters and direct the reaction to desirable routs. Near-infrared spectroscopy due to its analytical features, as well as the high capability of automation, versatile sampling and spectral acquisition methods is a useful tool in process monitoring when coupled to chemometrics. The Multiple Scatter Correction preprocessing technique and Alternative Least Square method can extract spectral and concentration information of a reaction mixture simultaneously, were emplo…

Chemistrybusiness.industryProcess analytical technologyNear-infrared spectroscopyProcess (computing)02 engineering and technologyWork in process010402 general chemistry021001 nanoscience & nanotechnology01 natural sciencesAutomationAtomic and Molecular Physics and Optics0104 chemical sciencesAnalytical ChemistryChemometricsBiodiesel production0210 nano-technologyBiological systembusinessSpectroscopyInstrumentationSpectroscopySpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
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Artificial neural network for quantitative determination of total protein in yogurt by infrared spectrometry

2009

Abstract A method has been introduced for quantitative determination of protein content in yogurt samples based on the characteristic absorbance of protein in 1800–1500 cm− 1 spectral region by mid-FTIR spectroscopy and chemometrics. Successive Projection Algorithm (SPA) wavelength selection procedure, coupled with feed forward Back-Propagation Artificial Neural Network (BP-ANN) model was the benefited chemometric technique. Relative Error of Prediction (REP) in BP-ANN and SPA-BP-ANN methods for training set was 7.25 and 3.70 respectively. Considering the complexity of the sample, the ANN model was found to be reliable, while the proposed method is rapid and simple, without any sample prepa…

ChemometricsAbsorbanceChromatographyArtificial neural networkChemistryApproximation errorSample preparationBiological systemQuantitative analysis (chemistry)SpectroscopyBackpropagationDykstra's projection algorithmAnalytical ChemistryMicrochemical Journal
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Linking chlorophyll a fluorescence to photosynthesis for remote sensing applications: mechanisms and challenges

2014

Chlorophyll a fluorescence (ChlF) has been used for decades to study the organization, functioning, and physiology of photosynthesis at the leaf and subcellular levels. ChlF is now measurable from remote sensing platforms. This provides a new optical means to track photosynthesis and gross primary productivity of terrestrial ecosystems. Importantly, the spatiotemporal and methodological context of the new applications is dramatically different compared with most of the available ChlF literature, which raises a number of important considerations. Although we have a good mechanistic understanding of the processes that control the ChlF signal over the short term, the seasonal link between ChlF…

ChlorophyllChlorophyll aMETIS-306570PhysiologyRemote sensing applicationEcologyChlorophyll AContext (language use)Plant ScienceBiologyPhotochemical Reflectance IndexPhotosynthesisFluorescencePlant Leaveschemistry.chemical_compoundchemistryITC-ISI-JOURNAL-ARTICLEPhotosynthetic acclimationRemote Sensing TechnologyThylakoid membrane organizationBiomassSeasonsPhotosynthesisBiological systemChlorophyll fluorescenceJournal of Experimental Botany
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Automatic detection of large dense-core vesicles in secretory cells and statistical analysis of their intracellular distribution.

2010

Analyzing the morphological appearance and the spatial distribution of large dense-core vesicles (granules) in the cell cytoplasm is central to the understanding of regulated exocytosis. This paper is concerned with the automatic detection of granules and the statistical analysis of their spatial locations in different cell groups. We model the locations of granules of a given cell as a realization of a finite spatial point process and the point patterns associated with the cell groups as replicated point patterns of different spatial point processes. First, an algorithm to segment the granules using electron microscopy images is proposed. Second, the relative locations of the granules with…

Chromaffin CellsInformation Storage and RetrievalBiologyBioinformaticsModels BiologicalSensitivity and SpecificityPoint processExocytosislaw.inventionPattern Recognition AutomatedMicelawArtificial IntelligenceImage Interpretation Computer-AssistedGeneticsAnimalsSecretionChromaffin GranulesComputer SimulationCells CulturedModels StatisticalApplied MathematicsVesicleSecretory VesiclesReproducibility of ResultsImage EnhancementEmpirical distribution functionMicroscopy ElectronAnimals NewbornCytoplasmData Interpretation StatisticalElectron microscopeBiological systemIntracellularAlgorithmsBiotechnologyIEEE/ACM transactions on computational biology and bioinformatics
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Models and objective functions for the optimisation of selectivity in reversed-phase liquid chromatography.

2006

Interpretive methodologies are the most efficient tools for finding the optimal conditions in chromatography. These methodologies are supported by models or algorithms able to infer the system behaviour upon changes in the experimental factors. Once the models are built with data obtained from sets of carefully designed experiments, molecular modelling or other approaches, they can be applied to predict the performance of new conditions. The different elements involved in these methodologies, for both isocratic and gradient elution, are given. Special attention is devoted to the description of retention, owing to its major impact on the prediction of chromatographic resolution. Several mode…

ChromatographyResolution (mass spectrometry)ElutionChemistryEnvironmental ChemistryGradient elutionReversed-phase chromatographyBiological systemBiochemistrySpectroscopyAnalytical ChemistryAnalytica chimica acta
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