Optimizing extraction solvents for deoxynivalenol analysis in maize via infrared attenuated total reflection spectroscopy and chemometric methods

Author:

Femenias Antoni1,Fomina Polina2ORCID,Tafintseva Valeria3,Freitag Stephan45ORCID,Shapaval Volha3,Sulyok Michael45,Zimmermann Boris3,Marín Sonia1,Krska Rudolf456,Kohler Achim3,Mizaikoff Boris27ORCID

Affiliation:

1. Applied Mycology Unit, Food Technology Department, University of Lleida, UTPV-XaRTA, Agrotecnio, Av. Rovira Roure, 191, 25198 Lleida, Spain

2. Institute of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89081 Ulm, Germany

3. Faculty of Science and Technology, Norwegian University of Life Sciences, 1432 Ås, Norway

4. University of Natural Resources and Life Sciences, Vienna, Austria

5. Department of Agrobiotechnology, IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, Konrad-Lorenz-Strasse 20, 3430 Tulln an der Donau, Austria

6. Institute for Global Food Security, School of Biological Sciences, Queens University Belfast, University Road, Belfast, BT7 1NN, Northern Ireland, UK

7. Hahn-Schickard, Sedanstrasse 14, 89077 Ulm, Germany

Abstract

Maize samples contaminated with deoxynivalenol have been classified according to the EU limitation by a fast FTIR analysis of different extraction solvents.

Funder

Horizon 2020

Publisher

Royal Society of Chemistry (RSC)

Subject

General Engineering,General Chemical Engineering,Analytical Chemistry

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