Mass Spectrometry Parameters Optimization for the 46 Multiclass Pesticides Determination in Strawberries with Gas Chromatography Ion-Trap Tandem Mass Spectrometry

• Type: Article in International Scientific Journal
• Date: 2012

Authors

Virginia C Fernandes (Author) Other; Jose L Vera (Author) Other; Valentina F Domingues (Author) Other; Luis M S Silva (Author) Other; Nuno Mateus (Author) FCUP; Cristina Delerue Matos (Author) Other

Journal

Title: Journal of the American Society for Mass Spectrometry

Vol. 23

Pages: 2187-2197

ISSN: 1044-0305

Publisher: American Chemical Society

Indexing

ISI Web of Knowledge - 15 Citations

Scopus - 16 Citations

Scientific classification

FOS: Natural sciences > Chemical sciences

Other information

Authenticus ID: P-002-2R6

DOI: 10.1007/s13361-012-0488-6

Abstract (EN): Multiclass analysis method was optimized in order to analyze pesticides traces by gas chromatography with ion-trap and tandem mass spectrometry (GC-MS/MS). The influence of some analytical parameters on pesticide signal response was explored. Five ion trap mass spectrometry (IT-MS) operating parameters, including isolation time (IT), excitation voltage (EV), excitation time (ET), maximum excitation energy or "q" value (q), and isolation mass window (IMW) were numerically tested in order to maximize the instrument analytical signal response. For this, multiple linear regression was used in data analysis to evaluate the influence of the five parameters on the analytical response in the ion trap mass spectrometer and to predict its response. The assessment of the five parameters based on the regression equations substantially increased the sensitivity of IT-MS/MS in the MS/MS mode. The results obtained show that for most of the pesticides, these parameters have a strong influence on both signal response and detection limit. Using the optimized method, a multiclass pesticide analysis was performed for 46 pesticides in a strawberry matrix. Levels higher than the limit established for strawberries by the European Union were found in some samples.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11