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Comprehensive machine learning prediction of GC/MS pesticide recovery based on the molecular fingerprinting for food QA/QC
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| 2019 | Agilent Technologies
GC/MSD
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GC/MSD
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Agilent Technologies
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Food & Agriculture
AI Peak Integration for MassHunter software automates manual peak integration during the data analysis process in GC/SQ
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| 2023 | Agilent Technologies (ASMS)
GC/MSD, GC/SQ, Software
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GC/MSD, GC/SQ, Software
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Agilent Technologies
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Agilent AI Peak Integration for MassHunter
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| 2023 | Agilent Technologies
GC/MSD, Software
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GC/MSD, Software
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Agilent Technologies
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Materials Testing
Quality Classification of Foods Through Analysis by Machine Learning
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| 2019 | Shimadzu
GC/MSD, SPME
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GC/MSD, SPME
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Shimadzu
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Food & Agriculture
Discovery of Markers from Chromatogram Data by Machine Learning
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| 2019 | Shimadzu
GC/MSD, GC/SQ
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GC/MSD, GC/SQ
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Shimadzu
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Food & Agriculture
The Agilent Cary 630 FTIR Spectrometer
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| 2022 | Agilent Technologies
FTIR Spectroscopy
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FTIR Spectroscopy
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Agilent Technologies
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Clinical Research
MaSaTECH MCCGC-IMS PeakMachine
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| N/A | MaSaTECH
Ion Mobility
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Ion Mobility
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MaSaTECH
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AGILENT CROSSLAB SOLUTIONS FOR FAMILIARIZATION
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| 2015 | Agilent Technologies
Instrumentation
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Agilent Technologies
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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
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| 2020 | Agilent Technologies
GC/MSD, Software
Instrumentation
GC/MSD, Software
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Agilent Technologies
Industries
Food & Agriculture
Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors
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| 2020 | Agilent Technologies
GC/MSD, LC/MS
Instrumentation
GC/MSD, LC/MS
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Agilent Technologies
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Food & Agriculture
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