Search results for " Extraction"

showing 10 items of 1344 documents

Green Extraction Strategies for Sea Urchin Waste Valorization

2021

Commonly known as “purple sea urchin,” Paracentrotus lividus occurs in the Mediterranean Sea and the eastern Atlantic Ocean. This species is a highly appreciated food resource and Italy is the main consumer among the European countries. Gonads are the edible part of the animal but they represent only a small fraction (10–30%) of the entire sea urchin mass, therefore, the majority ends up as waste. Recently, an innovative methodology was successfully developed to obtain high-value collagen from sea urchin by-products to be used for tissue engineering. However, tissues used for the collagen extraction are still a small portion of the sea urchin waste (<20%) and the remaining part, main…

Endocrinology Diabetes and Metabolismgreen extractionTest (biology)biomass valorizationParacentrotus lividussupercritical CO2polyhydroxylated naphtoquinoneschemistry.chemical_compoundMediterranean seabiology.animalTX341-641Food scienceSea urchinCarotenoidSpinochrome BNutritionOriginal Researchchemistry.chemical_classificationNutrition and Dieteticsbiologysea urchin's wasteNutrition. Foods and food supplyExtraction (chemistry)biology.organism_classificationantioxidantschemistryPolyphenolFood ScienceFrontiers in Nutrition
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A massive lesion detection algorithm in mammography

2004

A new algorithm for massive lesion detection in mammography is presented. The algorithm consists in three main steps : 1) reduction of the dimension of the image to be processed through the identifi cation of regions of interest (rois) as candidates for massive lesions ; 2) characterization of the roi by means of suitable feature extraction ; 3) pattern classifi cation through supervised neural networks. Suspect regions are detected by searching for local maxima of the pixel grey level intensity. A ring of increasing radius, centered on a maximum, is considered until the mean intensity in the ring decreases to a defi ned fraction of the maximum. The rois thus obtained are described by avera…

EngineeringArtificial neural networkPixelmedicine.diagnostic_testbusiness.industryCAD (Computer Aid Detection)Feature extractionBiophysicsNeural NetworkGeneral Physics and AstronomyGeneral MedicineSoftwareDimension (vector space)medicineKurtosisMammographyRadiology Nuclear Medicine and imagingComputer visionFraction (mathematics)Artificial intelligencebusinessAlgorithmMammography
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Land cover classification of VHR airborne images for citrus grove identification

2011

Abstract Managing land resources using remote sensing techniques is becoming a common practice. However, data analysis procedures should satisfy the high accuracy levels demanded by users (public or private companies and governments) in order to be extensively used. This paper presents a multi-stage classification scheme to update the citrus Geographical Information System (GIS) of the Comunidad Valenciana region (Spain). Spain is the first citrus fruit producer in Europe and the fourth in the world. In particular, citrus fruits represent 67% of the agricultural production in this region, with a total production of 4.24 million tons (campaign 2006–2007). The citrus GIS inventory, created in…

EngineeringGeographic information systemDatabasebusiness.industryDecision tree learningCadastreFeature extractionDecision treeLand covercomputer.software_genreAtomic and Molecular Physics and OpticsComputer Science ApplicationsSupport vector machineIdentification (information)Computers in Earth SciencesbusinessEngineering (miscellaneous)computerCartographyISPRS Journal of Photogrammetry and Remote Sensing
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A two-stage fault detection and classification for electric pitch drives in offshore wind farms using support vector machine

2017

This article presents a two-stage fault detection and classification scheme, for induction motor drives in wind turbine pitch systems. The presented approach is suitable for application in offshore wind farms. The adopted strategy utilizes three phase motor current sensing at the pitch drives for fault detection and only when a fault is detected at this stage, features extracted from the current signals are transmitted to a central support vector machine classifier. The proposed method is validated in a laboratory setup of the pitch drive.

EngineeringWind powerbusiness.industry020209 energyFeature extractionControl engineering02 engineering and technologyFault (power engineering)TurbineFault detection and isolationSupport vector machineOffshore wind power0202 electrical engineering electronic engineering information engineeringbusinessInduction motor2017 20th International Conference on Electrical Machines and Systems (ICEMS)
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Application of Pulsed Electric Field Treatment for Food Waste Recovery Operations

2016

International audience; Food industry is generating annually huge quantities of by-products and waste, which are generally considered as problem, as their disposal is associated with environmental and health related issues. During the last decade, numerous research groups and industries have been interested in valorizing these by-products by extracting valuable compounds and incorporating them generally in food and/or cosmetic products, which enhances the profitability of the process. Conventional extraction methods (i.e., maceration, thermal extraction) are exten- sively used for such purposes and showed high yields in many cases. However, the need to replace toxic organic solvents, shorte…

Engineering[SDV.BIO]Life Sciences [q-bio]/BiotechnologyFood industry[SDV]Life Sciences [q-bio]By-productsValorization03 medical and health sciences0302 clinical medicine[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringPulsed electric fields040502 food scienceAlternative methodsWaste managementGreen extractionbusiness.industryFood wasteHealth relatedEnergy consumption04 agricultural and veterinary sciencesEnvironmentally friendlyFood waste030221 ophthalmology & optometryExtraction methodsbusiness0405 other agricultural sciences[SDV.AEN]Life Sciences [q-bio]/Food and NutritionMaceration (sewage)
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A systematic literature review on less common natural fibres and their biocomposites

2018

Abstract Interest in utilization of renewable resources is increasing because of public's environmental awareness and economic considerations. Lignocellulosic fibres have already attracted growing attention as reinforcement of polymeric matrices instead of synthetic ones (mainly glass) from the academic and industrial fields. In addition to kenaf, hemp, sisal, flax and jute, which are the subject of extensive investigations for composite applications since the 1970s, in the last years several researchers suggested the use of less common natural fibres, due to their low cost and availability. This paper reviews the extraction methods, chemical, morphological, thermal and mechanical propertie…

Engineeringbiobased compositesStrategy and ManagementMechanical and thermal propertie02 engineering and technology010402 general chemistry01 natural sciencesIndustrial and Manufacturing EngineeringNatural (archaeology)Nanocelluloseagricultural residueschemical compositionmechanical and thermal propertiesnanocellulose extractionSISALGeneral Environmental Sciencecomputer.programming_languageLess common natural fibrebiologyRenewable Energy Sustainability and the Environmentbusiness.industryPolymeric matrixBiobased composite021001 nanoscience & nanotechnologybiology.organism_classificationEnvironmentally friendlyKenaf0104 chemical sciencesSettore ING-IND/22 - Scienza E Tecnologia Dei Materialiagricultural residues; biobased composites; chemical composition; less common natural fibres; mechanical and thermal properties; nanocellulose extractionExtraction methodsAgricultural residueBiochemical engineeringless common natural fibres0210 nano-technologybusinesscomputerRenewable resource
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Patterned wafer segmentation

2003

This paper is an extension of our previous work on the image segmentation of electronic structures on patterned wafers to improve the defect detection process on optical inspection tools. Die-to-die wafer inspection is based upon the comparison of the same area on two neighborhood dies. The dissimilarities between the images are a result of defects in this area of one of the die. The noise level can vary from one structure to the other, within the same image. Therefore, segmentation is needed to create a mask and apply an optimal threshold in each region. Contrast variation on the texture can affect the response of the parameters used for the segmentation. This paper shows a method to antic…

Engineeringbusiness.industryFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWavelet transformImage processingImage segmentationWaveletWaferSegmentationComputer visionArtificial intelligencePhotomaskbusinessSPIE Proceedings
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Comparing analytical methods to detect SARS-CoV-2 in wastewater

2021

Wastewater based epidemiology (WBE) has emerged as a reliable strategy to assess the coronavirus disease 2019 (COVID-19) pandemic. Recent publications suggest that SARS-CoV-2 detection in wastewater is technically feasible; however, many different protocols are available and most of the methods applied have not been properly validated. To this end, different procedures to concentrate and extract inactivated SARS-CoV-2 and surrogates were initially evaluated. Urban wastewater seeded with gamma-irradiated SARS-CoV-2, porcine epidemic diarrhea virus (PEDV), and mengovirus (MgV) was used to test the concentration efficiency of an aluminum-based adsorption-precipitation method and a polyethylene…

Environmental Engineering010504 meteorology & atmospheric sciencesSwineMicrobiologiaWastewater010501 environmental sciences01 natural sciencesArticleWHO World Health OrganizationAigües residuals MicrobiologiaAluminum-based adsorption-precipitationSpin column-based nucleic acid purificationPEG ratioAnimalsHumansEnvironmental ChemistryPandemicsWaste Management and DisposalPEG polyethylene glycol0105 earth and related environmental sciencesDetection limitCOVID-19 Coronavirus disease 2019ChromatographybiologySARS-CoV-2MgV MengovirusWBE wastewater-based epidemiologyChemistryPorcine epidemic diarrhea virusRT-qPCRExtraction (chemistry)COVID-19Contaminationbiology.organism_classificationSalut públicaPollutionEcologiaPolyethylene glycol precipitationSARS-CoV-2 Severe Acute Respiratory Syndrome Coronavirus 2WastewaterRNAEC European CommissionRNA extractionPorcine epidemic diarrhea virusPEDV Porcine Epidemic Diarrhea virusWastewater based epidemiologyScience of The Total Environment
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Biomonitoring of glyphosate and AMPA in the urine of Spanish lactating mothers

2021

The objectives of this study were to evaluate the urinary levels of Glyphosate (Gly) and its metabolite aminomethylphosphonic acid (AMPA) in Spanish breastfeeding mothers (n = 97), to identify the main predictors of exposure and to perform a risk assessment. Urine samples were analyzed using a method based on solid phase extraction and liquid chromatography tandem mass spectrometry (LC-MS/MS) determination. The developed method showed limits of quantification of 0.1 μg/L for both analytes. The detection frequencies (DFs) were 54% for Gly and 60% for AMPA, with geometric means (GMs) of 0.12 μg/L and 0.14 μg/L, respectively. In the statistical analysis, no relationship was found between the u…

Environmental EngineeringAcceptable daily intakeMetabolitePopulationGlycineOrganophosphonatesMothersUrinechemistry.chemical_compoundAnimal scienceTandem Mass SpectrometryLiquid chromatography–mass spectrometryBiomonitoringHumansLactationEnvironmental ChemistryAminomethylphosphonic acidSolid phase extractioneducationalpha-Amino-3-hydroxy-5-methyl-4-isoxazolepropionic AcidWaste Management and Disposaleducation.field_of_studyHerbicidesChemistryPollutionFemaleBiological MonitoringChromatography LiquidScience of The Total Environment
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Measurement of pollution levels of N-nitroso compounds of health concern in water using ultra-performance liquid chromatography–tandem mass spectrome…

2017

International audience; This paper reports the development of a highly sensitive analytical method combining solid-phase extraction (SPE) with ultra-high performance liquid chromatography coupled with tandem mass spectrometry (UHPLC–MS/MS), for the monitoring of ultra-trace levels of N-nitrosamines in water samples. Under optimized analytical conditions, chromatographic separation was performed in 3 min, in isocratic mode, using an Acquity UHPLC C18 column and a mobile phase consisting of acetonitrile, water, and formic acid (60:40:0.1, v/v/v) at a flow rate of 0.4 mL min−1. Electrospray ionization tandem interface was employed prior to mass spectrometric detection. Good linearity (R2 ≥ 0.9…

Environmental EngineeringFormic acidGeneral Chemical EngineeringElectrospray ionizationAnalytical chemistry010501 environmental sciencesTandem mass spectrometry01 natural scienceschemistry.chemical_compoundN-nitrosaminesLiquid chromatography–mass spectrometry[CHIM.ANAL]Chemical Sciences/Analytical chemistryEnvironmental ChemistrySolid phase extractionSafety Risk Reliability and QualitySolid phase extraction0105 earth and related environmental sciencesDetection limitChromatography[SDE.IE]Environmental Sciences/Environmental Engineering010401 analytical chemistryExtraction (chemistry)6. Clean water0104 chemical sciencesWater qualityUltra-high liquid chromatography–tandem mass spectrometrychemistry13. Climate actionWater quality[CHIM.OTHE]Chemical Sciences/Other
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