4.6 Article

Multi-residue method for the determination of organochlorine pesticides in fish feed based on a cleanup approach followed by gas chromatography-triple quadrupole tandem mass spectrometry

Journal

JOURNAL OF CHROMATOGRAPHY A
Volume 1217, Issue 30, Pages 4996-5003

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.chroma.2010.05.052

Keywords

Multi-residue method; GC-MS/MS; Cleanup; SPE; Organochlorine pesticides; Fish feed

Funding

  1. Ministero della Salute (Rome, Italy)

Ask authors/readers for more resources

A multi-residue method for the determination of organochlorine pesticides in fish feed samples was developed and optimized. The method is based on a cleanup step of the extracted fat, carried out by liquid-liquid extraction on diatomaceous earth cartridge with n-hexane/acetonitrile (80/20, v/v) followed by solid phase extraction (SPE) with silica gel-SCX cartridge, before the identification and quantification of the residues by gas chromatography-triple quadrupole tandem spectrometry (GC-MS/MS). Performance characteristics, such as accuracy, precision, linear range, limits of detection (LOD) and quantification (LOQ), for each pesticide were determined. Instrumental LODs ranged from 0.01 to 0.11 mu g L-1, LOQs were in the range of 0.02-0.35 mu g L-1, and calibration curves were linear (r(2) > 0.999) in the whole range of explored concentrations (5-100 mu g L-1). Repeatability values were in the range of 3-15%, evaluated from the relative standard deviation of six samples spiked at 100 mu g kg(-1) of fat, and in compliance with that derived by the Horwitz's equation. No matrix effects or interfering substances were observed in fish feed analyses. The proposed method allowed high recoveries (92-116%) of spiked extracted fat samples at 100 mu g kg(-1), and very low LODs (between 0.02 and 0.63 mu g kg(-1)) and LOQs (between 0.05 and 2.09 mu g kg(-1)) determined in fish feed samples. (C) 2010 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available