Back to Search
Start Over
Determination of aflatoxin and zearalenone analogs in edible and medicinal herbs using a group-specific immunoaffinity column coupled to ultra-high-performance liquid chromatography with tandem mass spectrometry
- Source :
- Journal of Chromatography B. 1092:228-236
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- Six aflatoxins (AFs; AF B1, B2, G1, G2, M1 and M2) and six zearalenone (ZEN) analogs (ZEN, zearalanone, α-zeralanol, β-zeralanol, α-zearalenol, and β-zearalenol) were simultaneously extracted from edible and medicinal herbs using a group-specific immunoaffinity column (IAC) and then identified by ultra-high-performance liquid chromatography tandem mass spectrometry (UPLC–MS/MS). The IAC was prepared by coupling N-hydroxysuccinimide-activated Sepharose 4B Fast Flow gel with two group-specific monoclonal antibodies. The column capacities to six AFs and six ZEN analogs ranged from 100.2 ng to 167.1 ng and from 59.5 ng to 244.4 ng, respectively. The IAC–UPLC–MS/MS method was developed and validated with three different matrices (Chinese yam [Dioscorea polystachya], Platycodon grandiflorum and coix seed [Semen Coicis]). Recoveries of twelve analytes from edible and medicinal herbs were in the range of 64.7%–112.1%, with relative standard deviations below 13.7%. The limits of quantification were in the range from 0.08 μg kg−1 to 0.2 μg kg−1. The method was proven to be sensitive and accurate, and suitable for the determination of real samples.
- Subjects :
- Analyte
Aflatoxin
Clinical Biochemistry
Tandem mass spectrometry
Sensitivity and Specificity
01 natural sciences
Biochemistry
Chromatography, Affinity
Analytical Chemistry
Sepharose
chemistry.chemical_compound
Aflatoxins
Tandem Mass Spectrometry
Liquid chromatography–mass spectrometry
Zearalanone
Zearalenone
Coix
Chromatography, High Pressure Liquid
Plants, Medicinal
Chromatography
biology
Plant Extracts
010405 organic chemistry
010401 analytical chemistry
Reproducibility of Results
Cell Biology
General Medicine
biology.organism_classification
0104 chemical sciences
chemistry
Linear Models
Subjects
Details
- ISSN :
- 15700232
- Volume :
- 1092
- Database :
- OpenAIRE
- Journal :
- Journal of Chromatography B
- Accession number :
- edsair.doi.dedup.....ca6daeb7d56d7a016eef33b0391d3b0f
- Full Text :
- https://doi.org/10.1016/j.jchromb.2018.06.012