Search results for "010401 analytical chemistry"

showing 10 items of 1284 documents

Determination of total phenolic compounds in compost by infrared spectroscopy

2016

Abstract Middle and near infrared (MIR and NIR) were applied to determine the total phenolic compounds (TPC) content in compost samples based on models built by using partial least squares (PLS) regression. The multiplicative scatter correction, standard normal variate and first derivative were employed as spectra pretreatment, and the number of latent variable were optimized by leave-one-out cross-validation. The performance of PLS-ATR-MIR and PLS-DR-NIR models was evaluated according to root mean square error of cross validation and prediction (RMSECV and RMSEP), the coefficient of determination for prediction ( R pred 2 ) and residual predictive deviation (RPD) being obtained for this la…

Spectroscopy Near-InfraredCoefficient of determinationSpectrophotometry InfraredMean squared errorChemistryCompost010401 analytical chemistryNear-infrared spectroscopyAnalytical chemistryInfrared spectroscopy04 agricultural and veterinary sciencesengineering.materialResidual040401 food science01 natural sciencesCross-validation0104 chemical sciencesAnalytical ChemistrySoil0404 agricultural biotechnologyPhenolsPartial least squares regressionengineeringLeast-Squares AnalysisTalanta
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Chemical characterization of ancient liturgical vestment (chasuble) by Inductively Coupled Plasma–Optical Emission Spectrometry (ICP–OES)

2016

Abstract This paper presents the chemical characterization of the yarns of an ancient liturgical vestment (chasuble). The samples have been analyzed for Al, Ag, Au, Cd, Co, Cr, Cu, Ni, Pb and Zn using amounts always less than 1 mg by Inductively Coupled Plasma–Optical Emission Spectrometry (ICP-OES). Except a sample, silver is the most abundant element in all the yarns. In the samples containing silver, it ranged from 68 to 97%. Only two samples contain aluminum. Although the investigated chasuble is recorded in the inventory as an artifact of the XV century, a part of the yarns is composed of materials attributed to later period. In fact, the voluntary use of aluminum in metal alloys is du…

Spectroscopy.Period (periodic table)Analytical chemistrychemistry.chemical_element02 engineering and technology01 natural sciencesSettore CHIM/12 - Chimica Dell'Ambiente E Dei Beni CulturaliTextile yarnAnalytical ChemistryMetalAluminiumSettore CHIM/01 - Chimica AnaliticaOptical emission spectrometryICP–OESSpectroscopyChemistryMetal010401 analytical chemistry021001 nanoscience & nanotechnology0104 chemical sciencesCharacterization (materials science)MetalsInductively coupled plasma atomic emission spectroscopyvisual_artvisual_art.visual_art_mediumLiturgical vestmentInductively coupled plasma0210 nano-technologyTextile yarnsChasuble
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Interactions between flavor compounds and food ingredients and their influence on flavor perception

2002

Interactions between flavor compounds and food ingredients are reviewed and their influence on flavor perception is discussed. Proteins are known to bind flavor compounds. For β-lactoglobulin, the most-studied example, hydrophobic interactions with volatiles are described. The effect of the medium on the conformation of the protein and its ability to bind flavor compounds is discussed. In general, the retention of volatiles by protein is much lower than that by fat. In emulsions, however, the presence of protein at the oil/water interface induces a significant effect on flavor release and flavor perception of hydrophobic flavor compounds. For starch, an extensively studied hydrocolloid, amy…

Starch[SPI.GPROC] Engineering Sciences [physics]/Chemical and Process EngineeringGeneral Chemical Engineering01 natural sciencesHydrophobic effectchemistry.chemical_compound0404 agricultural biotechnologyAmylose[SDV.IDA]Life Sciences [q-bio]/Food engineeringFlavor perception[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringFood scienceFlavorAromaComputingMilieux_MISCELLANEOUSbiologyChemistry010401 analytical chemistryfood and beverages04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineeringequipment and suppliesbiology.organism_classification040401 food science0104 chemical sciencesFood Science
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Using neural networks to obtain indirect information about the state variables in an alcoholic fermentation process

2020

This work provides a manual design space exploration regarding the structure, type, and inputs of a multilayer neural network (NN) to obtain indirect information about the state variables in the alcoholic fermentation process. The main benefit of our application is to help experts reduce the time needed for making the relevant measurements and to increase the lifecycles of sensors in bioreactors. The novelty of this research is the flexibility of the developed application, the use of a great number of variables, and the comparative presentation of the results obtained with different NNs (feedback vs. feed-forward) and different learning algorithms (Back-Propagation vs. Levenberg&ndash

State variableComputer scienceDesign space explorationBioengineering02 engineering and technologyEthanol fermentationFermentation processlcsh:Chemical technology01 natural scienceslcsh:ChemistryControl theoryFermentation process; Neural network; Prediction applicationChemical Engineering (miscellaneous)Process controllcsh:TP1-1185Layer (object-oriented design)Flexibility (engineering)Artificial neural networkProcess Chemistry and Technology010401 analytical chemistryProcess (computing)021001 nanoscience & nanotechnologyNeural network0104 chemical scienceslcsh:QD1-999Prediction application0210 nano-technology
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Extent of the influence of phosphate buffer and ionic liquids on the reduction of the silanol effect in a C18 stationary phase

2017

The presence of anionic free silanols in the silica-based stationary phases gives rise to broad and asymmetrical peaks when cationic basic compounds are chromatographed using hydro-organic mobile phases. The addition to the mobile phase of a reagent with ionic character prevents the access of analytes to the free silanols, improving the peak shape. The silanol activity can be affected by the buffer concentration and mobile phase pH, factors that are not always considered sufficiently in the literature. In this work, the chromatographic behaviour of three basic β-adrenoceptor antagonists (acebutolol, nadolol and timolol), using mobile phases containing acetonitrile, was examined at different…

Static ElectricityInorganic chemistryIonic LiquidsIonic bonding02 engineering and technologyBuffers01 natural sciencesBiochemistryPhosphatesAnalytical Chemistrychemistry.chemical_compoundPhase (matter)Alkylchemistry.chemical_classificationChromatography Reverse-PhaseChromatography010401 analytical chemistryOrganic ChemistryCationic polymerizationGeneral MedicineReversed-phase chromatographyHydrogen-Ion ConcentrationSilanes021001 nanoscience & nanotechnologyPhosphate0104 chemical sciencesSilanolchemistryIonic liquid0210 nano-technologyJournal of Chromatography A
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Modelling and Simulation of Ego-Noise of Unmanned Aerial Vehicles

2020

In this paper, we develop a simulation model for the ego-noise of unmanned aerial vehicles (UAVs). The ego-noise is composed of spike noise and background noise. The spike noise is modelled by a finite sum of sinusoids, while the background noise is modelled by a coloured Gaussian stationary process. The main property of our model is that it only depends on physical characteristics of the UAV and it does not need real-time audio inputs to be developed. This model is very useful for training novel noise cancelling algorithms and for evaluating their performance. To validate the proposed model, we compare the statistical properties of the ego-noise simulated using our model with actual ego-no…

Stationary processProperty (programming)Computer scienceGaussian010401 analytical chemistry020206 networking & telecommunications02 engineering and technology01 natural sciences0104 chemical sciencesComputer Science::RoboticsBackground noisesymbols.namesakeNoiseControl theory0202 electrical engineering electronic engineering information engineeringsymbolsSpike (software development)Active noise control2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
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Steviol glycosides and bioactive compounds of a beverage with exotic fruits and Stevia rebaudiana Bert. as affected by thermal treatment

2020

The aim of this study was to investigate the effects of thermal processing on physicochemical properties, steviol glycosides, bioactive compounds, and antioxidant capacity degradation of a beverage based on exotic fruit juices, orange juice, açaí, and oat and sweetened with Stevia rebaudiana water extracts at different concentrations. The experimental design comprised a response surface methodology according to a central composite face-centered design. The variable ranges were 60–99°C, 0.25–15 min, 0–2.5% Stevia percentage. This design was used to determine the optimal thermal processing-Stevia concentration in order to obtain the best retention of bioactive compounds and physicochemical pr…

Steviollcsh:TX341-641Thermal treatmentphysicochemical properties01 natural scienceschemistry.chemical_compound0404 agricultural biotechnologyFood sciencethermal processingsteviol glycosideschemistry.chemical_classificationbioactive compoundslcsh:TP368-456stevia rebaudiana bertoni010401 analytical chemistryGlycoside04 agricultural and veterinary sciences040401 food science0104 chemical sciencesStevia rebaudianaAntioxidant capacitylcsh:Food processing and manufacturechemistrytotal antioxidant capacityexotic fruitslcsh:Nutrition. Foods and food supplyFood ScienceInternational Journal of Food Properties
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Recent advances in surface plasmon resonance biosensors for microRNAs detection

2020

miRNAs are a large family of non-coding RNAs which play important roles in translational and post-transcriptional regulation of gene expression and biological processes. Abnormal expression of miRNAs is related to the initiation and progression of different diseases which make them be promising candidates for early medical diagnostics. Thus, accurate detection of miRNAs has great significance for disorder diagnosis. Nevertheless, their intrinsic characteristics such as short sequence, low concentration and sequence homology challenge routine techniques. The detection assays need to be extremely sensitive and selective in small value of intricate RNA samples. Biosensor-based strategies have …

StreptavidinAnalyteeducationBiomedical EngineeringBiophysicsBiosensing Techniques02 engineering and technologyComputational biology01 natural scienceschemistry.chemical_compoundmicroRNAElectrochemistrySurface plasmon resonance010401 analytical chemistryReproducibility of ResultsGeneral MedicineSurface Plasmon Resonance021001 nanoscience & nanotechnologySmall molecule0104 chemical sciencesBiomarker (cell)MicroRNAschemistryStreptavidin0210 nano-technologyBiosensorSignal amplificationBiotechnologyBiosensors and Bioelectronics
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Fast offline data reduction of laser ablation MC-ICP-MS Sr isotope measurements: Via an interactive Excel-based spreadsheet 'SrDR'

2020

Strontium isotopes are applied to a wide range of scientific fields and to different types of sample materials, providing valuable information foremost about provenance and age, but also on diagenetic processes and mixing relationships between different Sr reservoirs. The development of in-situ analytical techniques, such as laser ablation ICP-MS, has improved our understanding of Sr isotope variability in several field of application, because of the possibility to discriminate small-scale changes and their spatial distribution. However, large outputs of Sr isotope data are produced by laser ablation MC-ICP-MS systems, which necessitate of multiple offline steps to correct and assess the da…

StrontiumLaser ablationIsotopeMc icp ms010401 analytical chemistrychemistry.chemical_elementMineralogy010502 geochemistry & geophysics01 natural sciencesIsotopes of strontium0104 chemical sciencesAnalytical Chemistrymc-icpmchemistrylaser ablationEnvironmental sciencedata reductionstrontiumisotopeSpectroscopy0105 earth and related environmental sciencesData reduction
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Partial least squares modelization of energy dispersive X-ray fluorescence.

2019

As a proof of concept, a green methodology has been developed for the energy dispersive X-ray fluorescence (ED-XRF) determination of calcium, potassium, iron, magnesium, aluminum, chromium, strontium, phosphorus and nickel in the peel of untreated kaki fruit (Diospyros kaki. L) samples. ED-XRF spectra of fifty-six kakis purchased in the local area of LLombay (Valencia) were obtained directly from samples without any previous treatment and without sample damage just after cleaning the fruit with distilled water. Inductively Couple Plasma Optical Emission Spectrometry (ICP-OES) was used as a reference method to determine the mineral elements after microwave assisted acid digestion. XRF spectr…

StrontiumMagnesium010401 analytical chemistryAnalytical chemistrychemistry.chemical_elementDiospyros kakiX-ray fluorescence02 engineering and technology021001 nanoscience & nanotechnology01 natural sciences0104 chemical sciencesAnalytical ChemistryChromiumchemistryDistilled waterInductively coupled plasma atomic emission spectroscopyPartial least squares regression0210 nano-technologyTalanta
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