Agilent ASMS 2020 Posters BookPosters | 2020 | Agilent TechnologiesInstrumentation
GC/MSD, GC/MS/MS, GC/HRMS, HeadSpace, Sample Preparation, GC/SQ, GC/Q-TOF, Ion Mobility, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS, LC/QQQ, LC-SQ
Industries
Food & Agriculture, Forensics , Pharma & Biopharma, Proteomics , Materials Testing, Clinical Research
Manufacturer
Agilent Technologies
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Poster ReprintASMS 2020MP 194Targeted Peptide Quantitation ofSeven Food Allergens in DarkChocolate Using TripleQuadrupole LC/MSLee Sun New1, Jerry Zweigenbaum2 and CheeSian Gan1Agilent Technologies Singapore (Sales) PteLtd. Singapore2 Agilent Technologies, Inc., Wilmington, DE,USA1 IntroductionExperimentalFood allergy presents a significant public health issue.Hence, mandatory allergen...
Key words
allergen, allergenquantitation, quantitationpeptide, peptidechocolate, chocolateconfirmation, confirmationdark, darkmilk, milkwalnut, walnutcasein, caseinalmond, almondmarkers, markersloq, loqmethod, methodsoy, soyhazelnut
Poster ReprintASMS 2020WP 165Classifying the pesticides infoods between GC-amenable andLC-amenable using the predictionmodel with molecular descriptorsSadao Nakamura 1, Takeshi Serino 1, 2,Takeshi Otsuka 1, Yoshizumi Takigawa 1,Tarun Anumol 3, Shigehiko Kanaya 21 AgilentTechnologies, Hachioji, Tokyo, JapanNara Institute of Science and...
Key words
both, bothlearning, learningmachine, machinedescriptor, descriptorpesticides, pesticidesamenable, amenableclassification, classificationatoms, atomstech, techpesticide, pesticideexecution, executionensemble, ensemblemethyl, methyllist, listqspr

Agilent ASMS 2020 Posters BookPosters | 2020 | Agilent TechnologiesInstrumentation
GC/MSD, GC/MS/MS, GC/HRMS, HeadSpace, Sample Preparation, GC/SQ, GC/Q-TOF, Ion Mobility, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS, LC/QQQ, LC-SQ
Industries
Food & Agriculture, Forensics , Pharma & Biopharma, Proteomics , Materials Testing, Clinical Research
Manufacturer
Agilent Technologies
Key words

 

Similar PDF

Toggle
Poster ReprintASMS 2020MP 194Targeted Peptide Quantitation ofSeven Food Allergens in DarkChocolate Using TripleQuadrupole LC/MSLee Sun New1, Jerry Zweigenbaum2 and CheeSian Gan1Agilent Technologies Singapore (Sales) PteLtd. Singapore2 Agilent Technologies, Inc., Wilmington, DE,USA1 IntroductionExperimentalFood allergy presents a significant public health issue.Hence, mandatory allergen...
Key words
allergen, allergenquantitation, quantitationpeptide, peptidechocolate, chocolateconfirmation, confirmationdark, darkmilk, milkwalnut, walnutcasein, caseinalmond, almondmarkers, markersloq, loqmethod, methodsoy, soyhazelnut
Poster ReprintASMS 2020WP 165Classifying the pesticides infoods between GC-amenable andLC-amenable using the predictionmodel with molecular descriptorsSadao Nakamura 1, Takeshi Serino 1, 2,Takeshi Otsuka 1, Yoshizumi Takigawa 1,Tarun Anumol 3, Shigehiko Kanaya 21 AgilentTechnologies, Hachioji, Tokyo, JapanNara Institute of Science and...
Key words
both, bothlearning, learningmachine, machinedescriptor, descriptorpesticides, pesticidesamenable, amenableclassification, classificationatoms, atomstech, techpesticide, pesticideexecution, executionensemble, ensemblemethyl, methyllist, listqspr
 

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