Search results for "ELECTRONIC NOSE"

showing 10 items of 33 documents

Electronic Sensor Technologies in Monitoring Quality of Tea: A Review.

2022

Tea, after water, is the most frequently consumed beverage in the world. The fermentation of tea leaves has a pivotal role in its quality and is usually monitored using the laboratory analytical instruments and olfactory perception of tea tasters. Developing electronic sensing platforms (ESPs), in terms of an electronic nose (e-nose), electronic tongue (e-tongue), and electronic eye (e-eye) equipped with progressive data processing algorithms, not only can accurately accelerate the consumer-based sensory quality assessment of tea, but also can define new standards for this bioactive product, to meet worldwide market demand. Using the complex data sets from electronic signals integrated with…

Quality ControlTeaClinical Biochemistryfood and beveragesGeneral Medicineclassifier systemsensor arraypolyphenolddc:570TasteTecnologia dels alimentstaste sensorElectronicsElectronic Nose570 Biowissenschaften; BiologieBiosensors
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Monitoring the Shelf-Life of Minimally Processed Fresh-Cut Apple Slices By Physical–Chemical Analysis and Electronic Nose

2014

Fresh-cut apples, in slices or in cubes, are minimally processed products, which are currently collecting a great interest by fruit marketers for their promising diffusion. Their shelf life, from a microbiological point of view, has been fixed about 2 or 3 weeks under refrigeration. However in a few days they undergo biochemical degradations with production of off-flavors and texture breakdown. In this work, the change of aromatic fingerprint of apple slices packaged in air and in a modified atmosphere (with 100% N2) and stored at 4°C was measured, by using a commercial electronic nose. The obtained data were also compared with sensory evaluation of judge’s panel. Moreover, quality paramete…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreeShelf-lifeSensory analysiFresh-cut appleFood storageSettore AGR/15 - Scienze E Tecnologie AlimentariMinimally processed fruitElectronic nose
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Effects of some practices of citrus postharvest management on fruits quality and aromatic fingerprint

Settore AGR/03 - Arboricoltura Generale E Coltivazioni ArboreepolyphenolorangeflavorlemonVOCCitruvitamin CElectronic Nose
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FRUIT QUALITY EVALUATION OF FOUR LOQUAT CULTIVARS GROWN IN SICILY

2011

Chemical (soluble solids content, titratable acidity, pH), morphological (weight, longitudinal and transversal diameter, thickness of the flesh, number of seeds, peel colour), and sensorial characteristics of four loquat cultivars (‘Algerie’, ‘Claudia’, ‘Nespolone di Trabia’ and ‘Sanfilippara’) from mature, organically-grown trees in Sicily, were analysed. The determinations were carried out by traditional instrumental techniques, by a panel test and by an electronic olfactory system. A panel of 10 trained judges was used to determine intensity of some attributes in the sensory profile of the different cultivars, while the electronic olfactory system was used to identify possible difference…

Settore AGR/03 - Arboricoltura Generale E Coltivazioni Arboreesensory profile aromatic fingerprint electronic nose metal oxide semiconductor sensor arraySettore AGR/15 - Scienze E Tecnologie Alimentari
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Modular Breath Analyzer (MBA): Introduction of a Breath Analyzer Platform Based on an Innovative and Unique, Modular eNose Concept for Breath Diagnos…

2021

Exhaled breath analysis for early disease detection may provide a convenient method for painless and non-invasive diagnosis. In this work, a novel, compact and easy-to-use breath analyzer platform with a modular sensing chamber and direct breath sampling unit is presented. The developed analyzer system comprises a compact, low volume, temperature-controlled sensing chamber in three modules that can host any type of resistive gas sensor arrays. Furthermore, in this study three modular breath analyzers are explicitly tested for reproducibility in a real-life breath analysis experiment with several calibration transfer (CT) techniques using transfer samples from the experiment. The experiment …

calibration transferComputer scienceRespiratory SystemPharmaceutical ScienceOrganic chemistrycorrelation alignment01 natural scienceseNoseAnalytical Chemistry0302 clinical medicineQD241-441DDC 570 / Life sciencesDrug Discoverybreath analysisSensortechnikdigestive oral and skin physiologyAtemgasanalyseMischoxideExhalationChemistry (miscellaneous)piecewise direct standardization030220 oncology & carcinogenesisElektronische NaseCalibrationMolecular MedicineMOX sensorsSpectrum analyzerAdolescentlow sensing chamber volumeReal-time computingstandard samplesbreath samplingArticleElectronic nose03 medical and health sciencesddc:570Breath testsCalibrationHumansddc:610Physical and Theoretical ChemistryReproducibilitybusiness.industry010401 analytical chemistryBreath samplingpattern recognitionBreath diagnosticsAtemluftModular design0104 chemical sciencesBreath analyzerBreath gas analysisbusinessBiosensing techniquesDDC 610 / Medicine & healthBiomarkersMolecules
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Electronic Nose to detect off-flavor of drinking water

2014

contaminationflavordrinking waterElectronic Nose
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Application of Electronic Nose for Evaluation of Wastewater Treatment Process Effects at Full-Scale WWTP

2019

This paper presents the results of studies aiming at the assessment and classification of wastewater using an electronic nose. During the experiment, an attempt was made to classify the medium based on an analysis of signals from a gas sensor array, the intensity of which depended on the levels of volatile compounds in the headspace gas mixture above the wastewater table. The research involved samples collected from the mechanical and biological treatment devices of a full-scale wastewater treatment plant (WWTP), as well as wastewater analysis. The measurements were carried out with a metal-oxide-semiconductor (MOS) gas sensor array, when coupled with a computing unit (e.g., a computer with…

electronic noseBioengineering010501 environmental scienceslcsh:Chemical technology01 natural scienceslcsh:ChemistrySensor arraywastewater treatment processesChemical Engineering (miscellaneous)lcsh:TP1-1185multidimensional data analysisProcess engineering0105 earth and related environmental sciencesMultidimensional analysisElectronic nosebusiness.industryProcess Chemistry and TechnologyDimensionality reduction010401 analytical chemistrySupervised learningodor nuisances0104 chemical sciencesgas sensor arraylcsh:QD1-999WastewaterPrincipal component analysiswastewater qualityEnvironmental scienceSewage treatmentbusinessProcesses
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Food saltiness optimization using in-mouth sensors

2011

Food saltiness optimization using in-mouth sensors. International symposium olfaction & electronic noses (ISOEN 2011)

electronic nose[SDV.AEN] Life Sciences [q-bio]/Food and Nutritiongoût salé[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritioneducationnez électroniqueotorhinolaryngologic diseasescapteur électroniquebouche artificielle[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionreproductive and urinary physiologyhumanitieshealth care economics and organizations
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Instrumental Odour Monitoring System Classification Performance Optimization by Analysis of Different Pattern-Recognition and Feature Extraction Tech…

2020

Instrumental odour monitoring systems (IOMS) are intelligent electronic sensing tools for which the primary application is the generation of odour metrics that are indicators of odour as perceived by human observers. The quality of the odour sensor signal, the mathematical treatment of the acquired data, and the validation of the correlation of the odour metric are key topics to control in order to ensure a robust and reliable measurement. The research presents and discusses the use of different pattern recognition and feature extraction techniques in the elaboration and effectiveness of the odour classification monitoring model (OCMM). The effect of the rise, intermediate, and peak period …

electronic noselinear discriminant analysisComputer sciencemedia_common.quotation_subjectFeature extraction02 engineering and technologydata extractionlcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical ChemistryHumansQuality (business)lcsh:TP1-1185Electrical and Electronic Engineeringodour classification monitoring modelInstrumentationmedia_commonElectronic noseArtificial neural networkbusiness.industry010401 analytical chemistryPattern recognition021001 nanoscience & nanotechnologyLinear discriminant analysisAtomic and Molecular Physics and Optics0104 chemical sciencesPattern recognition (psychology)OdorantsMetric (unit)Artificial intelligenceNeural Networks ComputerArtificial neural network; Data extraction; Electronic nose; Linear discriminant analysis; Odour classification monitoring modelElectronics0210 nano-technologybusinessAlgorithmsartificial neural networkEnvironmental MonitoringSensors
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Machine learning analysis of e-nose signal in early detection of mold contamination in buildings

2017

Grzyb rozwijający się na ścianach budynków jest głównym powodem zjawiska, które nazwano Syndromem Chorego Budynku. Wolne związki organiczne emitowane przez grzyby mogą być wykryte różnymi metodami, m.in. na podstawie chromatografii, ale także za pomocą matryc czujników gazowych. Wszystkie tego typu narzędzia generują sygnały elektryczne, które można analizować za pomocą odpowiednich technik statystycznych. Praca skupia się na zastosowaniu nadzorowanych i nienadzorowanych technik uczenia maszynowego w ocenie sygnału pochodzącego z elektronicznego nosa.

electronic nosemould contaminationmultidimensional scalingklasyfikacjaclassificationconfusion matrixmacierz błędnych klasyfikacjielektroniczny nosskalowanie wielowymiaroweporażenie grzybemProceedings of ECOpole
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