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Optimized and validated high‐performance liquid chromatography method for the determination of deoxynivalenol and aflatoxins in cereals
Author(s) -
Skendi Adriana,
Irakli Maria N.,
Papageorgiou Maria D.
Publication year - 2016
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201501217
Subject(s) - chromatography , central composite design , aflatoxin , extraction (chemistry) , chemistry , mycotoxin , high performance liquid chromatography , response surface methodology , resolution (logic) , detection limit , sample preparation , solid phase extraction , acetonitrile , analytical chemistry (journal) , food science , artificial intelligence , computer science
A simple, sensitive and accurate analytical method was optimized and developed for the determination of deoxynivalenol and aflatoxins in cereals intended for human consumption using high‐performance liquid chromatography with diode array and fluorescence detection and a photochemical reactor for enhanced detection. A response surface methodology, using a fractional central composite design, was carried out for optimization of the water percentage at the beginning of the run ( X 1, 80–90%), the level of acetonitrile at the end of gradient system ( X 2, 10–20%) with the water percentage fixed at 60%, and the flow rate ( X 3, 0.8–1.2 mL/min). The studied responses were the chromatographic peak area, the resolution factor and the time of analysis. Optimal chromatographic conditions were: X 1 = 80%, X 2 = 10%, and X 3 = 1 mL/min. Following a double sample extraction with water and a mixture of methanol/water, mycotoxins were rapidly purified by an optimized solid‐phase extraction protocol. The optimized method was further validated with respect to linearity ( R 2 >0.9991), sensitivity, precision, and recovery (90–112%). The application to 23 commercial cereal samples from Greece showed contamination levels below the legally set limits, except for one maize sample. The main advantages of the developed method are the simplicity of operation and the low cost.
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