Comparative Study of the Performance of Two Different Luciferases for the Analysis of Fumonisin B<sub>1</sub> in Wheat Samples

  1. Luque‐Uría, Álvaro 1
  2. Peltomaa, Riikka 13
  3. Navarro‐Duro, Marina 1
  4. Fikacek, Sabrina 1
  5. Head, Trajen 2
  6. Deo, Sapna 2
  7. Daunert, Sylvia 2
  8. Benito‐Peña, Elena 1
  9. Moreno‐Bondi, María C. 1
  1. 1 Department of Analytical Chemistry Faculty of Chemistry Complutense University of Madrid Ciudad Universitaria s/n, 28040 Madrid Spain
  2. 2 Department of Biochemistry and Molecular Biology Miller School of Medicine University of Miami Clinical and Translational Science Institute University of Miami Miami FL 33136 USA
  3. 3 Department of Life Technologies Turku Collegium for Science Medicine and Technology TCSMT University of Turku Kiinamyllynkatu 10 20520 Turku Finland
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Revista:
Analysis &amp; Sensing

ISSN: 2629-2742,  2629-2742

Año de publicación: 2022

Volumen: 2

Número: 4

Tipo: Artículo

DOI: 10.1002/ANSE.202100070 GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Analysis &amp; Sensing

Resumen

The development of two different immunoassays for the determination of fumonisin B1 in wheat samples is reported. A previously described mimopeptide for fumonisin B1 (FB1) was used to produce fusion proteins in combination with two different luciferases: Gaussia luciferase (GLuc) and NanoLuc luciferase (NLuc). The production, expression and the development of two immunoassays based on these fusion proteins (A2-GLuc and A2-NLuc) is detailed. The assay showing the best performance, A2-NLuc, with a limit of detection of 0.61 ng mL−1 and a dynamic range from 1.9 to 95 ng mL−1, was employed for the analysis of spiked wheat samples, a reference matrix material, as well as naturally contaminated wheat samples. The recoveries obtained in the spiked samples were acceptable, between 81.5 and 109 %, with relative standard deviations lower than 14 %. The analysis of naturally contaminated wheat was validated by a liquid chromatography coupled to tandem mass detection method.

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