Suspect screening of large numbers of emerging contaminants in environmental waters using artificial neural networks for chromatographic retention time prediction and high resolution mass spectrometry data analysis-Reference-Cited by-同舟云学术

Suspect screening of large numbers of emerging contaminants in environmental waters using artificial neural networks for chromatographic retention time prediction and high resolution mass spectrometry data analysis

Published:2015-12 Issue: Volume:538 Page:934-941
ISSN:0048-9697
Container-title:Science of The Total Environment
language:en
Short-container-title:Science of The Total Environment

Author:

Bade Richard,Bijlsma Lubertus,Miller Thomas H.,Barron Leon P.,Sancho Juan Vicente,Hernández Felix^ORCID

Funder

European Union

Ministry of Economy and Competitiveness

Generalitat Valenciana

AstraZeneca

Publisher

Elsevier BV

Subject

Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference36 articles.

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4. The chromatographic role in high resolution mass spectrometry for non-targeted analysis;Croley;J. Am. Soc. Mass Spectrom.,2012

5. Analysis of 100 pharmaceuticals and their degradates in water samples by liquid chromatography/quadrupole time-of-flight mass spectrometry;Ferrer;J. Chromatogr. A,2012

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