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Determination of boscalid, pyraclostrobin and trifloxystrobin in dried grape and apricot by HPLC/UV method.
- Source :
-
Journal of Food Composition & Analysis . Jan2023, Vol. 115, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- This paper describes the development of extraction and high-performance liquid chromatography with ultraviolet detection methods for the determination of boscalid, pyraclostrobin, and trifloxystrobin. The extraction method includes classical solid-liquid and liquid-liquid extraction methods. The fungicides and the internal standard were separated in less than 6.5 min on an ODS column with acetonitrile/water mobile phase at 1.5 mL min−1 flow rate and detected at 265 nm. The limit of detection and quantification were 0.0084 and 0.0280 mg kg−1 for boscalid; 0.0032 and 0.0106 mg kg−1 for pyraclostrobin; 0.0113 and 0.0377 mg kg−1 for trifloxystrobin. The reproducibility of the method was lower than 0.6 % and 0.7 % relative standard deviation in terms of retention time for within day and between days, respectively, lower than 1.4 % in terms of the ratio of peak areas for both within day and between days. The accuracy of the analysis method in terms of relative error was lower than 11 % at low, 8 % at medium and 1 % at high concentrations. The recoveries were between 99–106 % for boscalid, 70–82 % for pyraclostrobin and 52–64 % for trifloxystrobin. These developed methods were then applied for the determination of selected fungicides in dried grape and apricot samples. • Extraction and analysis methods were developed and applied to dried fruits. • Sample preparation included classical solid-liquid and liquid-liquid extractions. • Both methods do not require expensive and complex equipment. • The proposed methods are easy, simple, cheap and adequate for routine analysis. • Analysis method was accurate, reproducible and showed good linearity with low LOD. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 08891575
- Volume :
- 115
- Database :
- Academic Search Index
- Journal :
- Journal of Food Composition & Analysis
- Publication Type :
- Academic Journal
- Accession number :
- 160443075
- Full Text :
- https://doi.org/10.1016/j.jfca.2022.104926