Search results for "chemometrics"

showing 10 items of 101 documents

Chapter 68 - Identification of Key Gin Aroma Compounds: An Integrative Approach Based on an Original Selection Procedure

2014

International audience; Potential impact aroma compounds of gin have been identified using Gas Chromatogry Olfactometry Mass-Spectrometry (GC-O-MS). In order to select some of them for a recombination study, we developed a specific procedure. Instead of only choosing the compounds on criteria such as their odor quality or their odor activity values, we also used physico-chemical parameters and information on their botanical origin. Data were organized in blocks homogeneous in terms of parameter type. Different statistical treatments were used in order to classify the compounds either by analyzing the parameters altogether or separately block by block.

[SDV.AEN] Life Sciences [q-bio]/Food and NutritionginGC-olfactometry[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesChemometricskey aroma compoundsdetection frequency[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[SDV.NEU.SC] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive Sciences
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Chemometric Tools to Point Out Benchmarks and Chromophores in Pigments through Spectroscopic Data Analyses

2021

Spectral preprocessing data and chemometric tools are analytical methods widely applied in several scientific contexts i.e., in archaeometric applications. A systematic classification of natural powdered pigments of organic and inorganic nature through Principal Component Analysis with a multi-instruments spectroscopic study is presented here. The methodology allows the access to elementary and molecular unique benchmarks to guide and speed up the identification of an unknown pigment and its recipe. This study is conducted on a set of 48 powdered pigments and tested on a real-case sample from the wall painting in S. Maria Delle Palate di Tusa (Messina, Italy). Four spectroscopic techniques …

ancient pigmentsspectroscopic techniquesOrganic ChemistryPharmaceutical Scienceancient pigments; spectroscopic techniques; chemometrics discrimination; elemental and molecular benchmarksArticlechemometrics discriminationAnalytical Chemistryelemental and molecular benchmarksQD241-441Chemistry (miscellaneous)Drug DiscoveryMolecular MedicinePhysical and Theoretical ChemistryMolecules; Volume 27; Issue 1; Pages: 163
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Synergistic enhancement via plasmonic nanoplate-bacteria-nanorod supercrystals for highly efficient SERS sensing of food-borne bacteria

2017

Bio-sensing techniques utilizing metallic nanoparticles as a probe have gained more and more attention and play today an important role in the detection of bacteria. To date, although several sensing materials have been tested, there is still a long way to go to achieve a fast, low-cost, ultrasensitive and multifunctional substrate suitable for a universal biosensor for detection of bacterial cells. Here, we report a novel probe design based on anisotropic plasmonic nanoparticles organized to a biocompatible 3D bio-inorganic scaffold, i.e., nanoplate-bacteria-nanorod supercrystals (NBNS) with extremely high surface-enhanced Raman spectroscopic (SERS) activity as a model of synergistic plasm…

assemblyMaterials scienceta221NanoparticleNanotechnology02 engineering and technologyrecognition of microbes010402 general chemistry01 natural sciencesBiokemia solu- ja molekyylibiologia - Biochemistry cell and molecular biologybakteeritsymbols.namesakeNanoteknologia - NanotechnologyMaterials ChemistryKemia - Chemical sciencesElectrical and Electronic EngineeringbacteriaInstrumentationPlasmonPlasmonic nanoparticlesmikrobien tunnistaminenta114SERSMetals and AlloysSubstrate (chemistry)021001 nanoscience & nanotechnologyCondensed Matter Physicschemometrics0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic Materialsasymmetric nanoparticlessymbolsnanoparticlesNanorodnanopartikkelit0210 nano-technologyRaman spectroscopyBiosensorRaman scattering
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Classification of persimmon fruit origin by near infrared spectrometry and least squares-support vector machines

2014

Abstract The main objective of this work has been the authentication by Fourier transform near infrared (FT-NIR) spectrometry of the origin of persimmon fruits cultivated in different regions of Spain. In order to achieve this goal, 166 persimmon samples from 7 different regions of Spain were analyzed by FT-NIR spectrometry. By splitting the spectral data in training and independent test sets, a classification model was built using least squares support vector machines chemometric technique. Orthogonal signal correction and principal component analysis were performed prior to conduct the classification strategy. The verified model was applied for the prediction of the origin of 50 samples f…

business.industryAnalytical chemistryPattern recognitionNear-Infrared SpectrometryMass spectrometryLeast squaresChemometricsSupport vector machinesymbols.namesakeFourier transformTest setPrincipal component analysissymbolsArtificial intelligencebusinessFood ScienceMathematicsJournal of Food Engineering
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Characterization of petroleum-based products by infrared spectroscopy and chemometrics

2012

Abstract The role of fossil fuels in providing the energy required for automobiles, factories and daily life has seriously concerned the authorities. Consistency of the quality of petroleum-based products is an important aspect of social and environmental criteria in a developed society. High-quality petroleum-based fuels would have several benefits (e.g., reduction in rate of consumption, less environmental pollution and durability of hardware). We review recent advances in the application of infrared spectroscopy in the petroleum industry. We focus on the methods proposed for the determination of a wide range of characteristics in petroleum-based products. We discuss methods based on the …

business.industryFossil fuelEnvironmental pollutionAnalytical ChemistryCharacterization (materials science)Chemometricschemistry.chemical_compoundPetroleum productchemistryPetroleum industryEnvironmental chemistryEnvironmental sciencePetroleumBiochemical engineeringbusinessSpectroscopyTrAC Trends in Analytical Chemistry
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2018

Whisky can be described as a complex matrix integrating the chemical history from the fermented cereals, the wooden barrels, the specific distillery processes, aging, and environmental factors. In this study, using Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) and liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS), we analyzed 150 whisky samples from 49 different distilleries, 7 countries, and ranging from 1 day new make spirit to 43 years of maturation with different types of barrel. Chemometrics revealed the unexpected impact of the wood history on the distillate's composition during barrel aging, regardless of the whisky origin. Flavonols, ol…

chemistry.chemical_classification010401 analytical chemistry04 agricultural and veterinary sciencesGeneral ChemistryTandem mass spectrometryBarrel (unit)040401 food science01 natural sciencesFourier transform ion cyclotron resonance0104 chemical sciencesChemometrics0404 agricultural biotechnologyFlavonolsMetabolomicschemistryLiquid chromatography–mass spectrometryPolyphenolFood scienceFrontiers in Chemistry
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Vibrational spectroscopy in soil and sediment analysis

2014

The literature concerning the use of vibrational spectroscopy for soil and sediment analysis, published in the last years, has been revised in order to provide a picture of the strengths and weaknesses of these direct techniques to characterize soil composition and properties. Many soil components as water, organic matter, like humic substances, and minerals, can be determined together with physicochemical parameters as pH, conductivity or redox potential. The main strategies to obtain sample spectra and to extract, as many as possible, useful information were evaluated, taking into account the progress on chemometrics and discussing the whole analytical process, from sampling to sample pre…

chemistry.chemical_classificationSediment AnalysisChemistryNear-infrared spectroscopyInfrared spectroscopySampling (statistics)Soil scienceConductivityAnalytical ChemistryChemometricsEnvironmental chemistryEnvironmental ChemistrySample preparationOrganic matterTrends in Environmental Analytical Chemistry
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Adulteration detection of argan oil by inductively coupled plasma optical emission spectrometry

2010

Abstract The singularity of the trace element profile of argan oil has been demonstrated by means of inductively coupled plasma optical emission measurement in combination with different chemometric approaches. The ability of multivariate analysis methods; such as hierarchical cluster analysis (HCA), principal component analysis (PCA), classification trees using Chi -squared Automatic Interaction Detector (CHAID) and discriminant analysis (DA) to achieve edible oils classification based on its type or variety from their elemental content have been investigated. The calculations were performed using 16 variables (contents of Na, Mg, Al, K, Ca, Ti, Fe, Co, Ni, Cu, Zn, Cd, Pr, Sm, Er and Bi at…

food.ingredientChromatographyChemistrySunflower oilAnalytical chemistryTrace elementArgan oilGeneral MedicineSunflowerAnalytical ChemistryChemometricsfoodVegetable oilPrincipal component analysisInductively coupled plasmaFood ScienceFood Chemistry
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1H NMR-based metabolic profiling for evaluating poppy seed rancidity and brewing

2015

Poppy seeds are widely used in household and commercial confectionery. The aim of this study was to demonstrate the application of metabolic profiling for industrial monitoring of the molecular changes which occur during minced poppy seed rancidity and brewing processes performed on raw seeds. Both forms of poppy seeds were obtained from a confectionery company. Proton nuclear magnetic resonance (1H NMR) was applied as the analytical method of choice together with multivariate statistical data analysis. Metabolic fingerprinting was applied as a bioprocess control tool to monitor rancidity with the trajectory of change and brewing progressions. Low molecular weight compounds were found to be…

food.ingredientProton Magnetic Resonance SpectroscopyGerminationPoppy seedBiochemistryChemometricsfoodMetabolomicsPoppyPapaverFood scienceBioprocessMolecular BiologyPrincipal Component Analysisbiologybusiness.industryTemperatureDiscriminant Analysisfood and beveragesCell Biologybiology.organism_classificationBiotechnologyPapaverSeedsMetabolomeProton NMRBrewingbusinessBiomarkersCellular and Molecular Biology Letters
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Fusion of the 1H NMR data of serum, urine and exhaled breath condensate in order to discriminate chronic obstructive pulmonary disease and obstructiv…

2015

Chronic obstructive pulmonary disease, COPD, affects the condition of the entire human organism and causes multiple comorbidities. Pathological lung changes lead to quantitative changes in the composition of the metabolites in different body fluids. The obstructive sleep apnea syndrome, OSAS, occurs in conjunction with chronic obstructive pulmonary disease in about 10–20 % of individuals who have COPD. Both conditions share the same comorbidities and this makes differentiating them difficult. The aim of this study was to investigate whether it is possible to diagnose a patient with either COPD or the OSA syndrome using a set of selected metabolites and to determine whether the metabolites t…

medicine.medical_specialtyPathology(COPD)Endocrinology Diabetes and MetabolismMetaboliteClinical BiochemistryChronic obstructive pulmonary disease (COPD)Urinediscriminant modelsBiochemistryGastroenterologychronic obstructive pulmonary diseasechemistry.chemical_compoundNMR spectroscopyInternal medicinePartial least squares regressionMedicineExhaled breath condensatePathologicalCOPDLungbusiness.industrymedicine.diseasechemometricsrespiratory tract diseasesObstructive sleep apneamedicine.anatomical_structurechemistrybusinessobstructive sleep apnea syndrome (OSAS)Metabolomics
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