Portuguese
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Rapid Communications in Mass Spectrometry 2008-Aug

Trace analysis of dithiocarbamate fungicide residues on fruits and vegetables by hydrophilic interaction liquid chromatography/tandem mass spectrometry.

Apenas usuários registrados podem traduzir artigos
Entrar Inscrever-se
O link é salvo na área de transferência
Goranka Crnogorac
Sabrina Schmauder
Wolfgang Schwack

Palavras-chave

Resumo

The simultaneous determination of dithiocarbamate (DTC) fungicide residues on fruits and vegetables was performed by liquid chromatography (LC) on a ZIC-pHILIC column coupled to tandem mass spectrometry (MS/MS). For each DTC subclass, i.e. dimethyldithiocarbamates (DMDs), ethylenebis(dithiocarbamates) (EBDs), and propylenebis(dithiocarbamates) (PBDs), the limits of detection and quantification were approximately 0.001 and 0.005 mg kg(-1), respectively. Recoveries from tomatoes, spiked in the range of 0.05-1 mg kg(-1), averaged between 97 and 101%. Several fruits and vegetables from a local market and different countries of origin (apples, pears, grapes, cherry tomatoes, cocktail tomatoes, cucumbers, tomatoes, tamarillos, papaya, and broccoli) were analyzed by LC/MS/MS, LC/MS, and by the routine CS(2) method. In general, the results obtained by both LC/MS and LC/MS/MS were in good agreement with those obtained by the CS(2) method except for the false positive CS(2) results for broccoli and papaya. The results demonstrate that both LC/MS and LC/MS/MS can be used for routine analyses of DTC residues, whereas LC/MS/MS is more sensitive and selective than LC/MS.

Junte-se à nossa
página do facebook

O mais completo banco de dados de ervas medicinais apoiado pela ciência

  • Funciona em 55 idiomas
  • Curas herbais apoiadas pela ciência
  • Reconhecimento de ervas por imagem
  • Mapa GPS interativo - marcar ervas no local (em breve)
  • Leia publicações científicas relacionadas à sua pesquisa
  • Pesquise ervas medicinais por seus efeitos
  • Organize seus interesses e mantenha-se atualizado com as notícias de pesquisa, testes clínicos e patentes

Digite um sintoma ou doença e leia sobre ervas que podem ajudar, digite uma erva e veja as doenças e sintomas contra os quais ela é usada.
* Todas as informações são baseadas em pesquisas científicas publicadas

Google Play badgeApp Store badge