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An Automatic Immunoaffinity Pretreatment of Deoxynivalenol Coupled with UPLC-UV Analysis.
- Source :
-
Toxins [Toxins (Basel)] 2022 Jan 25; Vol. 14 (2). Date of Electronic Publication: 2022 Jan 25. - Publication Year :
- 2022
-
Abstract
- An immunoaffinity magnetic beads (IMBs) based automatic pretreatment method was developed for the quantitative analysis of deoxynivalenol (DON) by ultra-performance liquid chromatography and ultraviolet detector (UPLC-UV). First, N-hydroxysuccinimide-terminated magnetic beads (NHS-MBs) with good magnetic responsivity and dispersibility were synthesized and characterized by optical microscopy, scanning electron microscopy (SEM), and laser diffraction-based particle size analyzer. Then, the amino groups of anti-DON monoclonal antibody (mAb) and the NHS groups of NHS-MBs were linked by covalent bonds to prepare IMB, without any activation reagent. The essential factors affecting the binding and elution of DON were meticulously tuned. Under optimal conditions, DON could be extracted from a real sample and eluted from IMB by water, enabling environmentally friendly and green analysis. Hence, there was no need for dilution or evaporation prior to UPLC-UV analysis. DON in 20 samples could be purified and concentrated within 30 min by the mycotoxin automated purification instrument (MAPI), allowing for automated, green, high-throughput and simple clean-up. Recoveries at four distinct spiking levels in corn and wheat ranged from 92.0% to 109.5% with good relative standard deviations (RSD, 2.1-7.0%). Comparing the test results of IAC and IMB in commercial samples demonstrated the reliability and superiority of IMB for quantitatively analyzing massive samples.
- Subjects :
- Antibodies, Monoclonal immunology
Ferrosoferric Oxide chemistry
Food Contamination analysis
Magnetic Phenomena
Succinimides chemistry
Trichothecenes chemistry
Trichothecenes immunology
Triticum chemistry
Zea mays chemistry
Chromatography, High Pressure Liquid methods
Trichothecenes analysis
Subjects
Details
- Language :
- English
- ISSN :
- 2072-6651
- Volume :
- 14
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Toxins
- Publication Type :
- Academic Journal
- Accession number :
- 35202122
- Full Text :
- https://doi.org/10.3390/toxins14020093