Comparison of Different Approaches to Rapid Screening of Headspace Samples: Pros and Cons of Using MS-Based Electronic Noses versus Fast Chromatography
Aplikace | 2002 | GERSTELInstrumentation
GC/MSD, HeadSpace, GC/SQ
IndustriesPotraviny a zemědělství
ManufacturerAgilent Technologies, GERSTEL
Key wordschemsensor, strawberry, etoh, ppg, pros, cons, fast, approaches, headspace, chromatographic, different, were, gerstel, flavor, samples, lots, apricot, spectral, forest, conventional, mass, cream, approach, analysis, citrus, system, chemometric, had, round, apple, fingerprint, flavors, hssensor, necessary, all, screening, frutti, throughput, models, false, chemstation, könig, trace, pirouette, noses, because, blackberry, retuning, thorsten, visualizes
Similar PDF
Fast Analysis of Food and Beverage Products using a Mass Spectrometry Based Chemical Sensor
2003|Agilent Technologies|Aplikace
AppNote 1/2003 Fast Analysis of Food and Beverage Products using a Mass Spectrometry Based Chemical Sensor Arnd C. Heiden, Bita Kolahgar, Carlos Gil Gerstel GmbH & Co.KG, Eberhard-Gerstel-Platz 1, D-45473 Mülheim an der Ruhr, Germany Vanessa R. Kinton Gerstel, Inc.,…
Key words
robusta, robustachemsensor, chemsensorarabica, arabicagerstel, gersteltung, tungdiscrimination, discriminationjava, javaling, lingcoffees, coffeesdiscriminated, discriminatedanalysed, analysedclassification, classificationdifferent, differentsamples, samplescoffee
Characterization of a Mass Spectrometer based Electronic Nose for Routine Quality Control Measurements of Flavors
2002|Agilent Technologies|Aplikace
AppNote 5/2002 Characterization of a Mass Spectrometer based Electronic Nose for Routine Quality Control Measurements of Flavors Arnd C. Heiden Gerstel GmbH & Co. KG, Eberhard-Gerstel-Platz 1, D-45473 Mülheim an der Ruhr, Germany Carsten Müller, Hans Steber Franz Zentis GmbH…
Key words
flavors, flavorsflavor, flavorgerstel, gerstelnoses, nosesfruit, fruitraspberry, raspberrycoconut, coconutroutine, routinestrawberry, strawberryelectronic, electronicexperiments, experimentspreparations, preparationszentis, zentisclassification, classificationmass
Classification of Food and Flavor Samples using a Chemical Sensor
2002|Agilent Technologies|Aplikace
AppNote 7/2002 Classification of Food and Flavor Samples using a Chemical Sensor Arnd C. Heiden, Carlos Gil Gerstel GmbH & Co. KG, Eberhard-Gerstel-Platz 1, D-45473 Mülheim an der Ruhr, Germany Vanessa R. Kinton, Edward A. Pfannkoch Gerstel, Inc., 701 Digital…
Key words
bottle, bottlestrawberry, strawberryheadspace, headspacesimca, simcagerstel, gerstelflavors, flavorssamples, samplescan, canraspberry, raspberrysoft, softdifferences, differencesflavor, flavorabundance, abundanceplastic, plasticindicates
Classification of Coffees from Different Origins by Chemical Sensor Technology
2002|Agilent Technologies|Aplikace
AppNote 13/2002 Classification of Coffees from Different Origins by Chemical Sensor Technology Inge M. Dirinck, Isabelle E. Van Leuven, Patrick J. Dirinck Laboratory for Flavor Research, Catholic Technical University St. Lieven, Gebr. Desmetstraat 1, B-9000 Gent, Belgium Arnd C. Heiden…
Key words
robusta, robustacoffee, coffeearabica, arabicachemsensor, chemsensorclassification, classificationkenya, kenyajava, javanoir, noirafrican, africanvietnam, vietnamsoft, softvarieties, varietiesgrain, graincoffees, coffeesbrazil
