Analytical method for multimycotoxins in roasted coffee samples using liquid chromatography-tandem mass spectrometry

Authors
Choi, B.Kim, J. H.Lee, K. S.Kim, C., ILee, J. Y.Park, H. M.
Issue Date
2023-04
Publisher
Universiti Putra Malaysia
Citation
International Food Research Journal, v.30, no.2, pp.487 - 496
Abstract
Mycotoxins are natural toxins that consist of secondary metabolites produced by fungal species of Aspergillus, Fusarium, and Penicillium. The present work aimed to validate the analytical method for detecting multimycotoxins (aflatoxin B1, B2, G1, G2, fumonisin B1, B2, ochratoxin A, and zearalenone) in roasted coffee samples using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Eight stable 13C isotope -labelled internal standards were used for quantification, and an immunoaffinity column (IAC) was used for sample pre-treatment to eliminate interferences. Calibration curves showed good fitness (R2 > 0.995) for all mycotoxins tested. The method detection limit (MDL) and method quantification limit (MQL) for eight mycotoxins were in the range of 0.002 -0.2 and 0.005 -0.5 ng/g, respectively. The recoveries ranged from 98.2 to 111% at three concentrations. The coefficients of variation (CVs) ranged from 1.2 to 14% intraday, and 1.4 to 13% interday. These results were within the acceptable range of the Codex Alimentarius Commission (CAC), thus indicating that the validated method could be suitable for multimycotoxin detection in roasted coffee samples.
Keywords
MULTIPLE MYCOTOXINS; WHEAT-FLOUR; OCHRATOXIN; AFLATOXINS; FUSARIUM; EXTRACTION; TOXICITY; ARABICA; FUNGI; ASSAY; roasted coffee; mycotoxin; method validation; immunoaffinity column; LC-MS; MS
ISSN
1985-4668
URI
https://pubs.kist.re.kr/handle/201004/113795
DOI
10.47836/ifrj.30.2.18
Appears in Collections:
KIST Article > 2023
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE