4.7 Article

Designed multifunctional visual observation of magnetic ionic liquid coupling with microwave-assisted derivatization for determination of biogenic amines

Journal

FOOD CHEMISTRY
Volume 333, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2020.127518

Keywords

Biogenic amines; Dispersive liquid-liquid microextraction; HPLC; Microwave-assisted derivatization; Multifunctional magnetic ionic liquid

Funding

  1. Liaoning Provincial Science and Technology Foundation of Ocean and Fisheries [201406, 201408]
  2. Doctor Startup Fund Program of Liaoning Province [201601092]
  3. General Project of Scientific Research of the Education Department of Liaoning Province [LQN201707]
  4. Foundation for National Advance declaration of Liaoning University [LDGY201406]
  5. Foundation for Young Scholars of Liaoning University [2013LDQN13]

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A multifunctional visual observation of magnetic ionic liquid (MIL) benzyltrioctylammonium thiocyanatecobalt (II) [N-8,N-8,N-8,(+)(B)](2)[Co(SCN)(4)(2-)] with the long-chain alkyl and benzyl group structures was designed and synthesized as microextraction phase. Designed new structural MIL displays good hydrophobicity, high extraction capacity for both aromatic and aliphatic compounds, and has obvious color markers (blue color) which is easy visual separation from aqueous solution through a magnet. In the present work, a green, efficient and rapid samples pretreatment method based on simultaneous derivatization and extraction of aromatic (tyramine, histamine, phenylethylamine, tryptamine) and aliphatic (spermidine and spermine) biogenic amines (BAs) were performed. Microwave-assisted derivatization coupled with MIL-dispersive liquid-liquid microextraction (DLLME) was established for the determination of six BAs in different food samples via HPLC. The method was successfully applied for the analysis of beer and milk samples, and the recoveries of analytes were 93.0-110.3% and 91.2-111.6%, respectively. The limits of detection (LODs) were 0.51-1.49 mu g L-1 for six BAs. These results have demonstrated that the proposed method has offered an effective, accurate, and sensitive methodology for BAs residue detection in food sample, and this method has great potential for the routine analysis of large numbers of samples on measuring different kinds of compounds.

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