0000000000869795

AUTHOR

F Marquis

showing 2 related works from this author

One-sensor electronic olfactometer for rapid sorting of fresh fruit juices

2001

Abstract A low-cost electronic olfactometer was developed, based on virtual sensors array (an array of signals from a single metal oxide sensor) and on our proprietary semi-automated sampling system. This concept enables us to drastically improve the sensitivity and selectivity of the entire olfactometer to make it suited to food products analysis. Each step of the prototype was checked separately in earlier work, and finally the system performance was evaluated first on pure chemicals, and then at-line for grape juice during grape-harvesting in Champagne. It is shown that over a 3-week vintage period, the drift of the unique-sensor was quite low (absolute baseline value: avg., 2152; std., …

Vintage[SPI.OTHER]Engineering Sciences [physics]/OtherAnalytical chemistry02 engineering and technology01 natural sciencesMaterials ChemistryTransient responseSensitivity (control systems)Electrical and Electronic EngineeringInstrumentationAromaComputingMilieux_MISCELLANEOUSMathematicsbiology[SPI.OTHER] Engineering Sciences [physics]/Other010401 analytical chemistryMetals and AlloysSorting021001 nanoscience & nanotechnologyCondensed Matter Physicsbiology.organism_classification0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsOlfactometerFood products0210 nano-technologyBiological systemTest solution
researchProduct

Electronic noses : specify or disappear

2000

Abstract When the quality control is achieved by using GC or GC/MS, the apparatus must comply with the applicable norms, but what about “electronic noses”? End users demand for formal specifications for selectivity, sensitivity, repeatability and sample throughput. The behavioural modelling of electronic olfactometers may provide specifications for these required parameters. This will allow both the measure itself, and evaluate the influence of the experimental errors on the sample classification. Users may expect to find a methodology allowing the performances of systems to be checked before any final decision and during routine use. We have demonstrated that the system sensitivity and log…

[SPI.OTHER]Engineering Sciences [physics]/OtherComputer sciencemedia_common.quotation_subjectAnalytical chemistrySample (statistics)02 engineering and technology01 natural sciencesFormal specificationMaterials ChemistryQuality (business)Sensitivity (control systems)Electrical and Electronic EngineeringInstrumentationThroughput (business)ComputingMilieux_MISCELLANEOUSmedia_commonMeasure (data warehouse)[SPI.OTHER] Engineering Sciences [physics]/Other010401 analytical chemistryMetals and AlloysRepeatability021001 nanoscience & nanotechnologyCondensed Matter Physics0104 chemical sciencesSurfaces Coatings and FilmsElectronic Optical and Magnetic MaterialsReliability engineeringCoupling (computer programming)0210 nano-technology
researchProduct