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Programme ESAS - CSSC 2022
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| 2022 | ESAS
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BOOK OF ABSTRACTS ESAS-CSSC 2022 (European Symposium on Analytical Spectrometry Czech-Slovak Spectroscopic Conference 2022)
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Comparison of Sensitivity for Sulfur Compound Species by Nexis™ SCD-2030: Equimolar Sensitivity Measurement
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| 2020 | Shimadzu
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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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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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Determination of the vinyl content of polyethylene resins
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Classifying the pesticides in foods between GC-amenable and LC-amenable using the prediction model with molecular descriptors
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ESAS 2014 - Programme
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