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Evaluation of Automated Sample Preparation for Mycotoxin Analysis in Foods.

Authors :
Zhang K
Source :
Journal of AOAC International [J AOAC Int] 2020 Jul 01; Vol. 103 (4), pp. 1052-1059.
Publication Year :
2020

Abstract

Background: In the present study, we developed a novel automated sample preparation workflow for the determination of mycotoxins in foods.<br />Objective: This workflow integrates off-line devices such as a centrifuge, shaker, liquid and solid dispensing units into a unified platform to perform gravimetric and volumetric dispensing, capping/decapping, extraction, shaking, filtration, and centrifugation. Two robotic arms provide sample transportation without human assistance.<br />Method: Critical method performance attributes were characterized using spiked corn, milk and peanut butter containing aflatoxins, deoxynivalenol, fumonisins, ochratoxin A, HT-2 and T-2 toxins and zearalenone and certified reference materials. Prepared samples were analyzed by liquid chromatography mass spectrometry (LC-MS).<br />Results: Recoveries of spiked samples range 100-120% with RSD<20% and the majority of measured values of certified reference materials are consistent with certified values within ±20%. Within- and between-batch variabilities of QC samples range 5-9% and 7-12% respectively.<br />Conclusions: Our workflow introduces a straightforward and automated sample preparation procedure for LC-MS-based multimycotoxin analysis. Further, it demonstrates how individual sample preparation devices, that are conventionally used off-line, can be integrated together.<br />Highlights: This study shows automated sample preparation will replace manual operations and significantly increase the degree of automation and standardization for sample preparation.<br /> (AOAC INTERNATIONAL 2020. This work is written by a US Government employee and is in the public domain in the US.)

Details

Language :
English
ISSN :
1944-7922
Volume :
103
Issue :
4
Database :
MEDLINE
Journal :
Journal of AOAC International
Publication Type :
Academic Journal
Accession number :
33241335
Full Text :
https://doi.org/10.1093/jaoacint/qsz044