Search results for " Chemistry"

showing 10 items of 41321 documents

Use of peat-based sorbents for removal of arsenic compounds

2013

Abstract It is important to apply sorbent materials for purification of water from arsenic contamination due to serious arsenic pollution worldwide. We have developed new sorbents based on natural materials that provide a cheap and environmentally friendly alternative. For the first time, peat modified with iron compounds and iron humates were tested for sorption of arsenic compounds. The highest sorption capacity was found in peat modified with iron compounds. We have found that sorption of different arsenic speciation forms was strongly dependent on solution pH, reaction time and temperature. Calculations of the sorption process using thermodynamic parameters indicate the spontaneity of s…

sorptionPeatSorbentsorption modelInorganic chemistryarsenicArsenatechemistry.chemical_elementSorptionGeneral ChemistryEndothermic processEnvironmentally friendlyArsenic contamination of groundwaterChemistrychemistry.chemical_compoundchemistryEnvironmental chemistrypeatMaterials Chemistryiron humatesQD1-999ArsenicOpen Chemistry
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Discovery of a new class of sortase a transpeptidase inhibitors to tackle gram-positive pathogens: 2-(2-phenylhydrazinylidene)alkanoic acids and rela…

2016

A FRET-based random screening assay was used to generate hit compounds as sortase A inhibitors that allowed us to identify ethyl 3-oxo-2-(2-phenylhydrazinylidene)butanoate as an example of a new class of sortase A inhibitors. Other analogues were generated by changing the ethoxycarbonyl function for a carboxy, cyano or amide group, or introducing substituents in the phenyl ring of the ester and acid derivatives. The most active derivative found was 3-oxo-2-(2-(3,4dichlorophenyl)hydrazinylidene)butanoic acid (2b), showing an IC50 value of 50 µM. For a preliminary assessment of their antivirulence properties the new derivatives were tested for their antibiofilm activity. The most active compo…

sortase A; biofilms; 2-(2-phenylhydrazinylidene)alkanoic acid derivatives; FRET0301 basic medicineStaphylococcus aureusStereochemistryPharmaceutical ScienceRelated derivativesmedicine.disease_causeSettore BIO/19 - Microbiologia Generale01 natural sciencesArticleAnalytical Chemistrylcsh:QD241-441Inhibitory Concentration 5003 medical and health scienceschemistry.chemical_compound2-(2-phenylhydrazinylidene)alkanoic acid derivativeAnti-Infective AgentsBacterial Proteinslcsh:Organic chemistryStaphylococcus epidermidisAmideDrug DiscoveryStaphylococcus epidermidismedicineEnzyme InhibitorsPhysical and Theoretical ChemistryIC50Grambiology010405 organic chemistryChemistryBiofilmSortase AOrganic ChemistryBiofilmAminoacyltransferasesbiology.organism_classificationSettore CHIM/08 - Chimica Farmaceutica2-(2-phenylhydrazinylidene)alkanoic acid derivativesPhenylhydrazines0104 chemical sciencesCysteine Endopeptidases030104 developmental biologyChemistry (miscellaneous)Staphylococcus aureusSortase AFRETMolecular Medicinebiofilms
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Sosiaalipalveluiden asiakasturvallisuuden edistäminen turvallisuuskulttuurin avulla

2022

sosiaalipalvelutasiakasturvallisuus (sosiaalihuolto)sosiaalialaturvallisuuskulttuuriGeneral MedicineGeneral ChemistryJanus Sosiaalipolitiikan ja sosiaalityön tutkimuksen aikakauslehti
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Sosiaalihuollon asiakasturvallisuus ja sähköinen asiointi

2022

sosiaalipalvelutasiakasturvallisuus (sosiaalihuolto)sähköiset palvelutsosiaalihuoltoetätyöetäpalvelutturvallisuuskulttuuriGeneral MedicineGeneral Chemistryeettisyysesteettömyys ja saavutettavuussähköinen asiointiJanus Sosiaalipolitiikan ja sosiaalityön tutkimuksen aikakauslehti
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Kuluttajaksi sosiaalistumisen haasteet ja kuluttajakasvatus jälkimodernissa kulutusyhteiskunnassa.

2014

sosialisaatio [http://www.yso.fi/onto/yso/p6140]kuluttajapolitiikkamediaGeneral MedicineGeneral Chemistrykulutustavatkuluttajakasvatussosialisaatiovalistuskulutusyhteiskuntajälkimoderni kulutusyhteiskuntaeriarvoisuuskulutusasenteetkuluttajakansalaisuusKeskusteluakuluttajakasvatus [http://www.yso.fi/onto/yso/p20400]
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Modelling flow and heat transfer in spacer-filled membrane distillation channels using open source CFD code

2013

Abstract A good understanding of the details of hydrodynamic and heat transport conditions and their impact on temperature polarisation and pressure drops is essential for optimum design of membrane distillation (MD) modules. To this end, the present work reports on initial progress in the development of a tool for 3D simulation of spacer-filled MD channels based on the open source CFD code library OpenFOAM. The paper discusses a number of modelling and implementation aspects including model geometry and computational domain, choice of boundary conditions, and discretisation schemes. The results pertaining to the effect of three different spacer types on the fluid dynamics and heat transfer…

spacer-filled channelPressure dropSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciEngineeringWork (thermodynamics)business.industryMechanical EngineeringGeneral Chemical EngineeringFlow (psychology)temperature polarisationMechanical engineeringMembrane distillationGeneral ChemistryComputational fluid dynamicsMembrane distillationHeat transferFluid dynamicsspacerGeneral Materials ScienceBoundary value problemCFDbusinessWater Science and TechnologyDesalination
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Friction and Heat Transfer in Membrane Distillation Channels: An Experimental Study on Conventional and Novel Spacers

2022

The results of an experimental investigation on pressure drop and heat transfer in spacer-filled plane channels, which are representative of Membrane Distillation units, are presented and discussed. Local and mean heat transfer coefficients were obtained by using Thermochromic Liquid Crystals and Digital Image Processing. The performances of a novel spacer geometry, consisting of spheres that are connected by cylindrical rods, and are hereafter named spheres spacers, were compared with those of more conventional woven and overlapped spacers at equal values of the Reynolds number Re (in the range ~150 to ~2500), the pitch-to-channel height ratio, the flow attack angle and the thermal boundar…

spacer-filled channelSettore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciProcess Chemistry and Technologyheat transferChemical Engineering (miscellaneous)Membrane distillationFiltration and Separationspheres spacermembrane distillation; heat transfer; pressure drop; spacer-filled channel; spheres spacer; thermochromic liquid crystalsthermochromic liquid crystalsSettore ING-IND/19 - Impianti Nuclearipressure dropMembranes
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Joint second-order parameter estimation for spatio-temporal log-Gaussian Cox processes

2018

We propose a new fitting method to estimate the set of second-order parameters for the class of homogeneous spatio-temporal log-Gaussian Cox point processes. With simulations, we show that the proposed minimum contrast procedure, based on the spatio-temporal pair correlation function, provides reliable estimates and we compare the results with the current available methods. Moreover, the proposed method can be used in the case of both separable and non-separable parametric specifications of the correlation function of the underlying Gaussian Random Field. We describe earthquake sequences comparing several Cox model specifications.

spatio-temporal pair correlation functionEnvironmental EngineeringGaussianminimum contrast methodnon-separable covariance function010502 geochemistry & geophysics01 natural sciencesPoint processGaussian random fieldSet (abstract data type)010104 statistics & probabilitysymbols.namesakeCorrelation functionEnvironmental Chemistry0101 mathematicsSafety Risk Reliability and Qualityearthquakes0105 earth and related environmental sciencesGeneral Environmental ScienceWater Science and TechnologyParametric statisticsMathematicslog-Gaussian Cox processesEstimation theoryContrast (statistics)symbolsEarthquakes Log-Gaussian Cox processes Minimum contrast method Non-separable covariance function Spatio-temporal pair correlation functionSettore SECS-S/01 - StatisticaAlgorithm
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Thermodynamic and spectroscopic study of the binding of dimethyltin(IV) by citrate at 25°C

2006

Thermodynamic (potentiometric and calorimetric) and spectroscopic ( 1 H NMR, 119 Sn Mossbauer) studies were performed in aqueous solution in order to characterize the interaction of dimethyltin(IV) cation with citrate ligand. Six species {(CH 3 ) 2 Sn(cit) - ; [(CH 3 ) 2 Sn] 2 (cit) 2 2- ; (CH 3 ) 2 Sn(cit)H 0 ; (CH 3 ) 2 Sn(cit)OH 2- ; [(CH 3 ) 2 Sn] 2 (cit)OH 0 ; [(CH 3 ) 2 Sn] 2 (cit)(OH) 2 - } were found. All the species formed in this system are quite stable and formation percentages are fairly high. For example, at pH = 7.5 and C (CH3)2Sn = C cit = 10 mmol l -1 , E% for [(CH 3 ) 2 Sn] 2 (cit)(OH) 2 - and (CH 3 ) 2 Sn(cit)OH 2- species reaches 65%. Overall thermodynamic parameters obta…

spectroscopyAqueous solutionthermodynamic propertiesdimethyltin(IV) complexesChemistryLigandStereochemistryPotentiometric titrationthermodynamic propertiethermodynamic properties; calorimetry; spectroscopy; potentiometry; dimethyltin(IV) complexesGeneral ChemistryTricarboxylateInorganic ChemistryMetalOctahedronpotentiometryvisual_artMössbauer spectroscopyvisual_art.visual_art_mediumProton NMRPhysical chemistrySettore CHIM/01 - Chimica Analiticacalorimetry
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Application of neural networks in diagnostics of chemical compounds based on their infrared spectra

2017

Abstract The paper presents possibilities of using the so-called „finger-print“ identification method and artificial neural network (ANN) for diagnosis of chemical compounds. The construction of a tool specifically developed for this purpose and the ANN, as well as the required conditions for its proper functioning were described. The identification of chemical compounds was tested in two different ways for proving correctness of the assumptions. First of all, initial studies were carried out with the objective to verify the proper functioning of the developed procedure for IR spectrum interpretation. The second research stage was to find out how the properties of artificial neural networks…

spectroscopyEnvironmental EngineeringArtificial neural networkInfraredChemistryspectraEcology (disciplines)Infrared spectroscopy02 engineering and technology010402 general chemistry01 natural sciences0104 chemical sciencesinfrared0202 electrical engineering electronic engineering information engineeringEnvironmental Chemistryidentification020201 artificial intelligence & image processingIdentification (biology)Biological systemSpectroscopyartificial neural networksEcological Chemistry and Engineering S-Chemia I Inzynieria Ekologiczna S
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