Analytical considerations on the use of a fruit-specific and representative matrix in pesticide residue analysis by LC-ESI-MS/MS
PBN-AR
Instytucja
Wydział Biotechnologii i Nauk o Środowisku (Katolicki Uniwersytet Lubelski Jana Pawła II w Lublinie)
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Główny język publikacji
EN
Czasopismo
CENTRAL EUROPEAN JOURNAL OF CHEMISTRY
ISSN
1895-1066
EISSN
1644-3624
Wydawca
DOI
URL
Rok publikacji
2013
Numer zeszytu
7
Strony od-do
1112-1131
Numer tomu
11
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Autorzy
(liczba autorów: 2)
Streszczenia
Język
Treść
One of the quantification methods frequently applied to pesticide residue analysis in food by liquid chromatography - mass spectrometry (LC-MS) involves matrix-matched calibrations with a representative matrix used for all commodities belonging to one group. This approach, although very practical, is deemed to generate analytical errors. The effect of the application of a representative-matrix calibration curve on the pesticide quantification result was examined. Extractions of 56 pesticides from five soft fruits (strawberries, blackberries, raspberries, black currant and red currant) were carried out using QuEChERS method. Pesticide determinations were performed by LC-MS/MS in multiple reaction monitoring mode. Quantification difference functions and parameters were proposed and calculated. At the concentration of 0.05 mg kg(-1) for ca. 90% of examined pesticides the quantification difference arising from the use of a representative matrix calibration curve (raspberries) instead of a specific fruit matrix calibration curve was below 20% for black and red currents, and below 30% and 35% in the case of strawberries and blackberries, respectively. The 25% difference limit was not exceeded for 51 pesticides in black and red currents, 46 pesticides in blackberries and 45 pesticides in strawberries. Quantification difference functions and parameters such as relative standard deviation of corrected process efficiencies were found to be helpful in data-driven decision-making on the applicability of a representative matrix; the former may be also used as a tool for data correction to ensure the reliability and accuracy of analyses.
Cechy publikacji
original-article
Inne
System-identifier
78102
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