Search results for "near-infrared"

showing 10 items of 180 documents

Vicarious calibration of MERIS over dark waters in the near infrared

2005

Abstract We propose to evaluate the calibration of MERIS (MEdium Resolution Imaging Spectrometer) over dark waters in the near infrared. We work with 5 months of data, from July to November 2003, over five world sites: Venice and Lampedusa in Italy, El Arenosillo in Spain, MOBY/Lanai and CalCOFI/San Nicolas in the United States. The sites are all equipped with a CIMEL station that forms part of the AERONET network. The basic idea is to associate CIMEL sky radiance measurements with MERIS level-1b data in a twin geometry which corresponds to the same scattering angle. This vicarious calibration relies on an accurate description of the atmospheric scattering based on the CIMEL measurements. A…

Spectrometermedia_common.quotation_subjectNear-infrared spectroscopyImaging spectrometerDiffuse sky radiationSoil ScienceGeologyAERONET[SDE.MCG] Environmental Sciences/Global Changes[ SDE.MCG ] Environmental Sciences/Global Changes[SDU.STU.CL] Sciences of the Universe [physics]/Earth Sciences/ClimatologySkyCalibrationRadianceEnvironmental scienceComputers in Earth Sciences[ SDU.STU.CL ] Sciences of the Universe [physics]/Earth Sciences/ClimatologyRemote sensingmedia_common
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Series of Near-IR-Absorbing Transition Metal Complexes with Redox Active Ligands

2020

New soluble and intensely near-IR-absorbing transition metal (Ti, Zr, V, Ni) complexes were synthesized using a redox non-innocent N,N&rsquo

Spectrometry Mass Electrospray IonizationMagnetic Resonance SpectroscopyElectronsChemistry Techniques SyntheticCrystallography X-RayLigandsArticlelcsh:QD241-441Magneticslcsh:Organic chemistryX-Ray DiffractionCoordination ComplexesNickelTransition Elementsorgaaniset yhdisteetSpectroscopy Near-InfraredMolecular Structureredox-active ligandnon-innocent ligandsElectrochemical Techniquesliganditkompleksiyhdisteetmetal organic complexMetalsElectronicsOxidation-Reduction
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Rapid determination of baicalin and total baicalein content in Scutellariae radix by ATR-IR and NIR spectroscopy

2013

In this study methods for the quantification of baicalin and total baicalein in Scutellariae radix with near infrared (NIR) spectroscopy and attenuated-total-reflectance mid-infrared (ATR-IR) spectroscopy in hyphenation with multivariate analysis were developed and compared. The reference analysis was performed by high performance liquid chromatography coupled to diode array detection (HPLC-DAD). Different pretreatments like standard normal variate (SNV), multiplicative scatter correction (MSC), first and second derivative Savitzky-Golay were applied on the spectra to optimize the calibrations. A principal component analysis was performed with both spectroscopic methods to distinguish wild …

Spectrophotometry InfraredATR-IRAnalytical chemistryPlant RootsHigh-performance liquid chromatographyArticleAnalytical Chemistrychemistry.chemical_compoundScutellariae radixScutellariae radixBaicalinLeast-Squares AnalysisSpectroscopySecond derivativeFlavonoidsPrincipal Component AnalysisChromatographybiologyNear-infrared spectroscopyNIRBaicaleinbiology.organism_classificationBaicaleinchemistryFlavanonesScutellaria baicalensisBaicalinScutellaria baicalensisTalanta
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Theoretical investigations of the IR spectroscopy of Ni(C(2)S(2)H(2))(2). A case study of the P_VMWCI(2) algorithm including anharmonic effects.

2010

The near infrared (NIR) spectra of bis(ethylene-1,2-dithiolato)nickel, Ni(C(2)S(2)H(2))(2) are fully interpreted here by applying a method developed for efficient automatic computation of both the infrared wave numbers and the intensities. The employed procedure uses parallel variational multiple window configuration interaction wave functions, the so-named P_VMWCI(2) algorithm, which incorporates both the mechanical and the electric anharmonic effects. It is shown that inclusion of anharmonicities is crucial for correctly assigning the fundamental, combination, and overtone vibrational frequencies in the infrared spectrum of the target system, for which conflicting assignments are found in…

Spectrophotometry InfraredInfraredChemistryOvertoneAnharmonicityNear-infrared spectroscopyGeneral Physics and AstronomyInfrared spectroscopyConfiguration interactionModels TheoreticalSpectral lineCoordination ComplexesNickelPhysics::Chemical PhysicsPhysical and Theoretical ChemistryWave functionAlgorithmAlgorithmsPhysical chemistry chemical physics : PCCP
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Green direct determination of mineral elements in artichokes by infrared spectroscopy and X-ray fluorescence.

2015

Near infrared (NIR) and X-ray fluorescence (XRF) spectroscopy were investigated to predict the concentration of calcium, potassium, iron, magnesium, manganese and zinc in artichoke samples. Sixty artichokes were purchased from different Spanish areas (Benicarlo, Valencia and Murcia). NIR and XRF spectra, combined with partial least squares (PLS) data treatment, were used to develop chemometric models for the prediction of mineral concentration. To obtain reference data, samples were mineralised and analysed by inductively coupled plasma optical emission spectrometry (ICP-OES). Coefficients of determination obtained for the regression between predicted values and reference ones for calcium, …

Spectrophotometry InfraredIronAnalytical chemistrychemistry.chemical_elementX-ray fluorescenceInfrared spectroscopyZinc01 natural sciencesFluorescenceAnalytical ChemistryCynara scolymusPartial least squares regressionMagnesiumLeast-Squares AnalysisSpectroscopyManganeseMinerals010405 organic chemistryMagnesiumX-Rays010401 analytical chemistryNear-infrared spectroscopySpectrometry X-Ray EmissionGeneral Medicine0104 chemical sciencesZincchemistryPotassiumInductively coupled plasmaFood ScienceFood chemistry
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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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Chemometric determination of arsenic and lead in untreated powdered red paprika by diffuse reflectance near-infrared spectroscopy.

2008

It has been evaluated the potential of near-infrared (NIR) diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) as a way for non-destructive measurement of trace elements at microg kg(-1) level in foods, with neither physical nor chemical pre-treatment. Predictive models were developed using partial least-square (PLS) multivariate approaches based on first-order derivative spectra. A critical comparison of two spectral pre-treatments, multiplicative signal correction (MSC) and standard normal variate (SNV) was also made. The PLS models built after using SNV provided the best prediction results for the determination of arsenic and lead in powdered red paprika samples. Relativ…

Spectroscopy Near-InfraredDiffuse reflectance infrared fourier transformChemistryNear-infrared spectroscopyAnalytical chemistryInfrared spectroscopychemistry.chemical_elementBiochemistryFourier transform spectroscopyAnalytical ChemistryArsenicChemometricsLeadPartial least squares regressionCalibrationEnvironmental ChemistrySpectroscopyCapsicumSpectroscopyArsenicAnalytica chimica acta
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The use of near-infrared spectrometry in the olive oil industry.

2010

The enormous possibilities offered by near-infrared (NIR) spectroscopy for the (on/in/at-line) quality control process of olive fruits, pastes, and oils are summarized throughout this paper. Special attention has been paid to the combination of NIR and chemometric treatments for the on-line analysis of olive fruits and also for the quality parameters evaluation on olive oils and pastes which can enhance the production of a high quality olive oil and the selection of olive fruit with superior properties. The implementation of NIR sensors in olive mills with successful results has also been reviewed and the commercial olive fruit and oil analyzers highlighted.

Spectroscopy Near-InfraredFood industrybusiness.industryFatty AcidsWaterNear-Infrared SpectrometryFood ContaminationGeneral MedicineIndustrial and Manufacturing EngineeringQualitative analysisVegetable oilFruitOleaEdible oilEnvironmental scienceFood IndustryPlant OilsFood sciencebusinessFood qualityOlive OilFood ScienceOlive oilCritical reviews in food science and nutrition
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Near Infrared Spectroscopy Detection and Quantification of Herbal Medicines Adulterated with Sibutramine.

2015

There is an increasing demand for herbal medicines in weight loss treatment. Some synthetic chemicals, such as sibutramine (SB), have been detected as adulterants in herbal formulations. In this study, two strategies using near infrared (NIR) spectroscopy have been developed to evaluate potential adulteration of herbal medicines with SB: a qualitative screening approach and a quantitative methodology based on multivariate calibration. Samples were composed by products commercialized as herbal medicines, as well as by laboratory adulterated samples. Spectra were obtained in the range of 14,000-4000 per cm. Using PLS-DA, a correct classification of 100% was achieved for the external validatio…

Spectroscopy Near-InfraredInjury controlTraditional medicinebusiness.industryQuantitative methodologyNear-infrared spectroscopyExternal validationPoison controlMultivariate calibrationDiscriminant AnalysisPathology and Forensic MedicinePartial least squares regressionAppetite DepressantsGeneticsmedicineLinear ModelsPlant PreparationsbusinessDrug ContaminationCyclobutanesSibutraminemedicine.drugJournal of forensic sciences
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Nondestructive Direct Determination of Heroin in Seized Illicit Street Drugs by Diffuse Reflectance near-Infrared Spectroscopy

2008

A new method has been developed for the fast and nondestructive direct determination of heroin in seized street illicit drugs using partial least-squares regression analysis of diffuse reflectance near-infrared spectra. Data were obtained from untreated samples placed in standard glass chromatography vials. A heterogeneous population of 31 samples, previously analyzed by a reference method, was employed to build the calibration model and to have a separated validation set. Based on the use of zero-order data for a calibration set of 21 samples, after standard normal variate and quadratic linear removed baseline correction (detrending), in the wavelength range from 1111 to 1647 nm, 8 PLS fac…

Spectroscopy Near-InfraredMean squared errorIllicit DrugsChemistryDirect methodStreet drugsNear-infrared spectroscopyAnalytical chemistryReproducibility of ResultsResidualAnalytical ChemistryHeroinHeterogeneous populationCalibrationCalibrationCluster AnalysisDiffuse reflectionLeast-Squares AnalysisAnalytical Chemistry
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