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- W2986694763 endingPage "115720" @default.
- W2986694763 startingPage "115720" @default.
- W2986694763 abstract "Recent advances in gas chromatography-mass spectrometry (GC-MS) (ionization sources at atmospheric pressure, fast GC, GCxGC, high resolution mass spectrometry, etc.) have significantly improved the capabilities of this technique, traditionally used to determine pesticides. Although liquid chromatography mass spectrometry (LC-MS/MS) is nowadays preferred, pyrethroids and organochlorine pesticides are more sensitive by GC-MS and a significant number of other pesticides work well by both techniques. Here, we critically review the development, instrumentation, approaches and applications of GC-MS, focusing on the analysis of pesticide residues published between 2000 and 2019 along with outstanding pioneer contributions, with special emphasis on those published after 2010. This review attempts to fill a void of information on the state-of-art of GC-MS for pesticide residue determination, describing the pros and cons of the different approaches, and the main applications." @default.
- W2986694763 created "2019-11-22" @default.
- W2986694763 creator A5003866204 @default.
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- W2986694763 date "2020-01-01" @default.
- W2986694763 modified "2023-10-15" @default.
- W2986694763 title "How recent innovations in gas chromatography-mass spectrometry have improved pesticide residue determination: An alternative technique to be in your radar" @default.
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- W2986694763 cites W1979753538 @default.
- W2986694763 cites W1980587990 @default.
- W2986694763 cites W1984580471 @default.
- W2986694763 cites W2000046139 @default.
- W2986694763 cites W2008914876 @default.
- W2986694763 cites W2011956717 @default.
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- W2986694763 doi "https://doi.org/10.1016/j.trac.2019.115720" @default.
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