Search results for "Least-Squares Analysi"

showing 10 items of 66 documents

Modelling the enantioresolution capability of cellulose tris(3,5-dichlorophenylcarbamate) stationary phase in reversed phase conditions for neutral a…

2018

[EN] To the best of our knowledge, the prediction of the enantioresolution ability of polysaccharides-based stationary phases in liquid chromatography for structurally unrelated compounds has not been previously reported. In this study, structural information of neutral and basic compounds is used to model their enantioresolution levels obtained from an immobilised cellulose tris(3,5-dichlorophenylcarbamate) stationary phase in reversed phase conditions. Thirty-four structurally unrelated chiral drugs and pesticides, from seven families, are studied. Categorical enantioresolution levels (RsC, 0 = no baseline enantioresolution and 1 = baseline enantioresolution) are established from the expe…

Models MolecularTrisPhenylcarbamatesEnantioresolution modelling01 natural sciencesBiochemistryAnalytical Chemistrychemistry.chemical_compoundMolecular descriptorPhase (matter)Tris(35-dichlorophenylcarbamate)MoleculeLeast-Squares AnalysisPesticidesCelluloseCelluloseChromatography High Pressure LiquidReversed phase liquid chromatographyEnantioseparationsChromatography Reverse-PhasePrincipal Component AnalysisChromatography010405 organic chemistry010401 analytical chemistryOrganic ChemistryDiscriminant partial least squaresDiscriminant AnalysisStereoisomerismGeneral MedicineReversed-phase chromatography0104 chemical scienceschemistryStationary phaseAsymmetric carbonStationary phaseJournal of Chromatography A
researchProduct

Combining Pharmacokinetics and Vibrational Spectroscopy: MCR-ALS Hard-and-Soft Modelling of Drug Uptake In Vitro Using Tailored Kinetic Constraints

2022

Raman microspectroscopy is a label-free technique which is very suited for the investigation of pharmacokinetics of cellular uptake, mechanisms of interaction, and efficacies of drugs in vitro. However, the complexity of the spectra makes the identification of spectral patterns associated with the drug and subsequent cellular responses difficult. Indeed, multivariate methods that relate spectral features to the inoculation time do not normally take into account the kinetics involved, and important theoretical information which could assist in the elucidation of the relevant spectral signatures is excluded. Here, we propose the integration of kinetic equations in the modelling of drug uptake…

Multivariate Curve Resolution-Alternating Least SquaresBiological and Chemical PhysicsSystems BiologyMultivariate Curve Resolution-Alternating Least Squares; pharmacokinetics; Raman microspectroscopy; chemometricsGeneral MedicineSpectrum Analysis RamanRaman microspectroscopyKineticsMultivariate AnalysisHumansPharmacokineticsLeast-Squares AnalysisChemometricsBiochemistry Biophysics and Structural Biology
researchProduct

Structural invariants for the prediction of relative toxicities of polychloro dibenzo-p-dioxins and dibenzofurans

2004

Multivariate models are reported that can predict the relative toxicity of compounds with severe environmental impact, namely polychloro dibenzo-p-dioxins (PCDDs) and dibenzofurans (PCDFs). Multiple linear regression analysis (MLR) and partial least square projections of latent variables (PLS) show the usefulness of graph-theoretical descriptors, mainly topological charge indices (TCIs), in these series. The general trends of the group are correctly reproduced and better results are presented than have previously been published. In general, the more toxic compounds exhibit more symmetric molecular structures.

Multivariate statisticsCarcinoma HepatocellularPolychlorinated DibenzodioxinsRelative toxicityQuantitative Structure-Activity RelationshipLatent variableDioxinsCatalysisInorganic ChemistryToxicologyComputational chemistryDrug DiscoveryLinear regressionCytochrome P-450 CYP1A1AnimalsSoil PollutantsLeast-Squares AnalysisPhysical and Theoretical ChemistryMolecular BiologyBenzofuransModels StatisticalChemistryOrganic ChemistryReproducibility of Resultsfood and beveragesNeoplasms ExperimentalGeneral MedicineModels TheoreticalRatsDisease Models AnimalModels ChemicalDrug DesignMultivariate AnalysisLinear ModelsEnvironmental PollutantsMultiple linear regression analysisInformation SystemsMolecular Diversity
researchProduct

Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator.

2019

Methods based on the use of multivariate autoregressive models (MVAR) have proved to be an accurate tool for the estimation of functional links between the activity originated in different brain regions. A well-established method for the parameters estimation is the Ordinary Least Square (OLS) approach, followed by an assessment procedure that can be performed by means of Asymptotic Statistic (AS). However, the performances of both procedures are strongly influenced by the number of data samples available, thus limiting the conditions in which brain connectivity can be estimated. The aim of this paper is to introduce and test a regression method based on Least Absolute Shrinkage and Selecti…

Multivariate statisticsComputer science0206 medical engineering02 engineering and technologyConnectivity measurementsLeast squares03 medical and health sciences0302 clinical medicineLasso (statistics)Statistics::MethodologyLeast-Squares AnalysisStatisticShrinkagebusiness.industryBrainPattern recognitionElectroencephalography020601 biomedical engineeringCausalityData pointAutoregressive modelCausality; Connectivity measurements; Physiological systems modeling - Multivariate signal processingPhysiological systems modeling - Multivariate signal processingOrdinary least squaresLeast-Squares Analysis Brain ElectroencephalographyArtificial intelligencebusiness030217 neurology & neurosurgeryAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
researchProduct

Information Dynamics Analysis: A new approach based on Sparse Identification of Linear Parametric Models*

2020

The framework of information dynamics allows to quantify different aspects of the statistical structure of multivariate processes reflecting the temporal dynamics of a complex network. The information transfer from one process to another can be quantified through Transfer Entropy, and under the assumption of joint Gaussian variables it is strictly related to the concept of Granger Causality (GC). According to the most recent developments in the field, the computation of GC entails representing the processes through a Vector Autoregressive (VAR) model and a state space (SS) model typically identified by means of the Ordinary Least Squares (OLS). In this work, we propose a new identification …

Multivariate statisticsComputer scienceEntropyGaussian0206 medical engineeringNormal Distribution02 engineering and technology01 natural sciencesLASSO regression010305 fluids & plasmassymbols.namesakeinformation TransferState Space modelsGranger causalityLasso (statistics)0103 physical sciencesStatistics::MethodologyState spaceLeast-Squares AnalysisShrinkageSparse matrixElectroencephalography020601 biomedical engineeringinformation Transfer; LASSO regression; State Space models; Granger causalityAutoregressive modelstate space modelParametric modelOrdinary least squaresLinear ModelssymbolsGranger causalityTransfer entropyAlgorithmInformation dyancamic analysi
researchProduct

Background Correction and Multivariate Curve Resolution of Online Liquid Chromatography with Infrared Spectrometric Detection

2011

J.K. acknowledges the “V Segles” grant provided by the University of Valencia to carry out this study. Authors acknowledge the financial support of Ministerio de Educación y Ciencia (Projects AGL2007-64567 and CTQ2008-05719/BQU) and Conselleria d'Educació de la Generalitat Valenciana (Project PROMETEO 2010-055).

Multivariate statisticsPrincipal Component AnalysisChromatographySpectrophotometry InfraredInfraredChemistryAnalytical chemistrySubtractionPhase (waves)CarbohydratesSignalAnalytical ChemistryNitrophenolsNitrophenolchemistry.chemical_compoundPrincipal component analysisLeast-Squares AnalysisAbsorption (electromagnetic radiation)AlgorithmsChromatography High Pressure LiquidSoftware
researchProduct

Partial least squares X-ray fluorescence determination of trace elements in sediments from the estuary of Nerbioi-Ibaizabal River.

2010

The feasibility of partial least squares (PLS) regression modeling of X-ray fluorescence (XRF) spectra of estuarine sediments has been evaluated as a tool for rapid trace element content monitoring. Multivariate PLS calibration models were developed to predict the concentration of Al, As, Cd, Co, Cr, Cu, Fe, Mg, Mn, Ni, Pb, Sn, V and Zn in sediments collected from different locations across the estuary of the Nerbioi-Ibaizabal River (Metropolitan Bilbao, Bay of Biscay, Basque Country). The study was carried out on a set of 116 sediment samples, previously lyophilized and sieved with a particle size lower than 63 microm. Sample reference data were obtained by inductively coupled plasma mass …

Multivariate statisticsgeographyGeologic Sedimentsgeography.geographical_feature_categoryChemistryTrace elementAnalytical chemistryX-ray fluorescenceMineralogyEstuaryFresh WaterStandard deviationAnalytical ChemistryTrace ElementsRoot mean squareSpectrometry FluorescenceSpainPartial least squares regressionLeast-Squares AnalysisInductively coupled plasma mass spectrometryTalanta
researchProduct

A green method for the determination of cocaine in illicit samples

2013

Abstract Direct determination of cocaine in untreated seized samples has been made based on diffuse reflectance measurements of the near infrared (NIR) radiation through samples contained inside standard glass vials. The method used a series of previously analyzed samples, by the reference gas chromatography method, to build a partial least squares calibration model which was validated using an independent set of samples. The use of a general model for samples containing from 11.38% till 86.44% (w/w) cocaine was based on the use of spectral ranges from 12500.7 to 10128.6, 9339.8 to 6967.7 and 5388.3 to 4597.6 cm−1 with previous first derivative and vector normalization data pre-processing a…

NarcoticsSpectroscopy Near-InfraredChromatographyMean squared errorIllicit DrugsChemistryAnalytical chemistryResidualPathology and Forensic MedicineCocaineBulk samplesPartial least squares regressionCalibrationGas chromatographyLeast-Squares AnalysisDrug ContaminationLawForensic Science International
researchProduct

Analysis of perfluorinated compounds in sewage sludge by pressurized solvent extraction followed by liquid chromatography–mass spectrometry

2011

Perfluorinated compounds (PFCs) are widely used in everyday life and one of the main recipients of these compounds is waste water treatment plants (WWTPs). Due to the structure and physicochemical properties of PFCs, these compounds could be redistributed from influent water to sludge. This work reports a new validated protocol for the analysis of 13 perfluorinated acids, 4 perfluorosulfonates and the perfluorooctanesulfonamide. The present work has been focused to develop a sensitive and robust method for the analysis of 18 PFCs in sewage sludge, based on pressurized solvent extraction (PSE) followed by solid phase extraction (SPE) clean-up, analytes separation by liquid chromatography and…

PerfluorooctanesulfonamideSensitivity and SpecificityBiochemistryAnalytical Chemistrychemistry.chemical_compoundTandem Mass SpectrometryLiquid chromatography–mass spectrometrySolid phase extractionLeast-Squares AnalysisDetection limitFluorocarbonsChromatographySewageMethanolOrganic ChemistryReproducibility of ResultsWaterGeneral MedicineRepeatabilitychemistryEnvironmental chemistryEnvironmental PollutantsSewage treatmentIon trapSludgeChromatography LiquidJournal of Chromatography A
researchProduct

Determination of trace amounts of β tegafur in commercial α tegafur by powder X-ray diffractometric analysis.

2011

Abstract Objectives The main objective of this work was to develop a suitable analytical technique for determining trace amounts of the thermodynamically stable solid form in bulk samples of metastable form, to a sensitivity of 0.005%–1.0%. Tegafur (5-fluoro-1-(tetrahydro-2-furyl)-uracil) α and β crystalline forms were used as a model for this problem. Methods The trace content of the thermodynamically stable β polymorphic form in tegafur samples was increased by promoting phase transition from the bulk of thermodynamically metastable α form to β form, and achieving sufficient β form content for a quantitative powder X-ray diffractometry (PXRD) analysis. The phase transition was stimulated …

PharmacologyPhase transitionMaterials scienceTrace AmountsAnalytical chemistryPharmaceutical ScienceCrystallography X-RaySolventCrystallographyX-Ray DiffractionPhase (matter)ThermodynamicsSample preparationLeast-Squares AnalysisPowdersCrystallizationMass fractionSeed crystalPowder diffractionTegafurThe Journal of pharmacy and pharmacology
researchProduct