Agilent ASMS 2020 Posters Book
Postery | 2020 | Agilent Technologies | ASMSInstrumentace
GC/MSD, GC/MS/MS, GC/HRMS, HeadSpace, Příprava vzorků, GC/SQ, GC/Q-TOF, Iontová mobilita, LC/TOF, LC/HRMS, LC/MS, LC/MS/MS, LC/QQQ, LC/SQ
ZaměřeníPotraviny a zemědělství, Forenzní analýza a toxikologie, Farmaceutická analýza, Proteomika, Materiálová analýza, Klinická analýza
VýrobceAgilent Technologies
Klíčová slovapeptide, reprint, were, poster, method, discussion, results, positive, using, both, classification, experimental, analysis, recovery, sample, mass, workflow, plasma, matrix, ion, dmb, from, pesticides, flow, agilent, conclusions, drug, peptides, pesticide, acid, gas, time, impurities, samples, preparation, column, hemp, learning, high, screening, rapidfire, model, donepezil, black, progesterone, testosterone, quantitation, loq, data, based
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Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors
2020|Agilent Technologies|Postery
Poster Reprint ASMS 2020 WP 165 Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors Sadao Nakamura 1, Takeshi Serino 1, 2, Takeshi Otsuka 1, Yoshizumi Takigawa 1, Tarun Anumol 3, Shigehiko Kanaya…
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Optimum molecular descriptors based on 89 machine learning methods for predicting the recovery rate of pesticides in crops by GC-MS
2020|Agilent Technologies|Postery
Poster Reprint ASMS 2020 ThP 177 Optimum molecular descriptors based on 89 machine learning methods for predicting the recovery rate of pesticides in crops by GC-MS Takeshi Serino 1, 2, Sadao Nakamura 1, Yoshizumi Takigawa 1, Tarun Anumol 3, Md.…
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Comprehensive machine learning prediction of GC/MS pesticide recovery based on the molecular fingerprinting for food QA/QC
2019|Agilent Technologies|Postery
Poster Reprint ASMS 2019 TP298 Comprehensive machine learning prediction of GC/MS pesticide recovery based on the molecular fingerprinting for food QA/QC Takeshi Serino* 1,2; Sadao Nakamura1; Yoshizumi Takigawa1; Norton Kitagawa3; Shigehiko Kanaya 2 1 Agilent Technologies, Hachioji City, Japan 2…
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Agilent Posters at ASMS 2017
2017|Agilent Technologies|Postery
Agilent Posters at ASMS 2017 AUTOMATION High-throughput (sub-2.5 second) direct injection using a modified RapidFire 365 HTMS system 1Agilent Technologies 2PureHoney Technologies, Inc. Experimental Experimental Modifications to RapidFire plumbing • 10 mL sample loop (between V1 port 2 and 5)…
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