Multi-residue determination of pesticides in green tea by gas chromatography-tandem mass spectrometry with atmospheric pressure chemical ionisation using nitrogen as the carrier gas
| Autor: | Hiroshi Akiyama, Satoru Nemoto, Mari Nagata, Shizuka Saito-Shida |
|---|---|
| Rok vydání: | 2023 |
| Předmět: |
Chromatography
Gas Nitrogen Health Toxicology and Mutagenesis chemistry.chemical_element Atmospheric-pressure chemical ionization 010402 general chemistry Toxicology Mass spectrometry 01 natural sciences Tandem Mass Spectrometry Ionization Helium Chromatography Tea Pesticide residue Atmospheric pressure Gas Chromatography/Tandem Mass Spectrometry 010401 analytical chemistry Pesticide Residues Public Health Environmental and Occupational Health General Chemistry General Medicine 0104 chemical sciences Atmospheric Pressure chemistry Food Science |
| DOI: | 10.6084/m9.figshare.22263845 |
| Popis: | Helium is commonly used as a carrier gas in gas chromatography-tandem mass spectrometry (GC-MS/MS); however, there are growing concerns regarding its global shortage and the resulting limited supply and high cost. Using nitrogen as an alternative carrier gas in GC-MS/MS with the widely used electron ionisation (EI) technique leads to a significantly lower sensitivity; thus, in this study, we explored the use of atmospheric-pressure chemical ionisation (APCI) as the ionisation method and examined the applicability of GC-(APCI)MS/MS with nitrogen gas for the determination of pesticide residues. GC-(APCI)MS/MS using nitrogen provided slightly wider peaks, and poorer isomeric separation compared to those using helium under identical conditions; however, the peak intensities were comparable. GC-(APCI)MS/MS using nitrogen was validated for 166 pesticides in green tea at a spiking level of 0.01 mg/kg and was compared with the conventional GC-(EI)MS/MS using helium gas. Except dimethomorph and resmethrin, GC-(APCI)MS/MS showed satisfactory results that were comparable to those of GC-(EI)MS/MS for most compounds, with trueness in the range of 73%–95% and relative standard deviations of |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|