Literature DB >> 22840705

A direct assessment of mycotoxin biomarkers in human urine samples by liquid chromatography tandem mass spectrometry.

Emmanuel Njumbe Ediage1, Jose Diana Di Mavungu, Suquan Song, Aibo Wu, Carlos Van Peteghem, Sarah De Saeger.   

Abstract

Detection of mycotoxin biomarkers in urine of humans and animals provides a direct approach for assessing exposure to these mycotoxins as opposed to the indirect approach of food analysis, which in most cases is affected by the heterogeneity of the toxin in the food samples. Seven (7) mycotoxins and their metabolites (total 18 analytes) were selected and an LC-MS/MS method for their determination in human urine was developed and validated. The method consisted of direct analysis of two mycotoxin conjugates, deoxynivalenol-glucuronide and zearalenone-glucuronide without beta glucuronidase digestion of the urine samples. Since high method sensitivity is of utmost importance in such study, critical factors which could improve the analyte recovery and method sensitivity were investigated by a D-optimal experimental design. Urine samples (10 mL) were first extracted with 15 mL ethyl acetate/formic acid (99/1, v/v) followed by SAX SPE clean-up of the acidified aqueous fraction. Both extracts were combined and analyzed using an LC-MS/MS system operated in the positive ionization mode. A total run time of 28 min was adopted with all the 18 analytes eluting within 15 min. The method was validated by taking into consideration the guidelines specified in Commission Decision 2002/657/EC and 401/2006/EC. Forty samples obtained from volunteers within the laboratory research group were analyzed as part of a pilot study. All results were expressed per mg creatinine. A total of 9 samples were found contaminated with one or more of the following analytes: DON, OTA, OTα, 4-OH OTA, ZEN, CIT and β-ZOL. One-eighth (5/40) of the samples were contaminated with DON in the range of 3.7-67 ng mg(-1) creatinine. Samples with detectable levels of DON did not show any co-occurrence of DON-3Glu. One sample was found to be contaminated with 4-OH OTA (<LOQ), co-occurring with only OTA (0.2 ng mg(-1) creatinine). OTα (up to 4.4 ng mg(-1) creatinine) was detected in three other samples co-occurring with low levels of OTA (up to 0.3 ng mg(-1) creatinine) and no 4-OH OTA detected. ZEN was detected in 10% (4/40) of the samples analyzed. Three samples were contaminated with β-ZOL (3.3-20 ng mg(-1) creatinine), co-occurring with ZEN (<LOQ-10.8 ng mg(-1) creatinine). The ratio of ZEN/β-ZOL varied for all the three samples. α-ZOL was not detected in any of the 40 samples. CIT was detected in one sample at 4.5 ng mg(-1) creatinine. This is the first study carried out with a small group of the Belgian population to assess exposure to mycotoxins using biomarkers.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22840705     DOI: 10.1016/j.aca.2012.06.038

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  26 in total

1.  Development of a liquid chromatography tandem mass spectrometry method for the simultaneous determination of zearalenone, deoxynivalenol and their metabolites in pig serum.

Authors:  Ulrike Brezina; Hana Valenta; Inga Rempe; Susanne Kersten; Hans-Ulrich Humpf; Sven Dänicke
Journal:  Mycotoxin Res       Date:  2014-06-13       Impact factor: 3.833

2.  Aflatoxin-lysine adducts in blood serum of the Malawian rural population and aflatoxin contamination in foods (groundnuts, maize) in the corresponding areas.

Authors:  Anitha Seetha; Emmanuel S Monyo; Takuji W Tsusaka; Harry W Msere; Frank Madinda; Tiyamika Chilunjika; Ethel Sichone; Dickson Mbughi; Benson Chilima; Limbikani Matumba
Journal:  Mycotoxin Res       Date:  2018-04-20       Impact factor: 3.833

3.  Harvest and post-harvest handling practices associated with fumonisin B1 contamination in maize (Zea mays L.): dietary exposure and risk characterization in eastern Ethiopia.

Authors:  Abdi Mohammed; Awol Seid; Habtamu Terefe; Carla Cervini; Carol Verheecke-Vaessen
Journal:  Mycotoxin Res       Date:  2022-09-30       Impact factor: 4.082

4.  Dried urine spots as sampling technique for multi-mycotoxin analysis in human urine.

Authors:  Jessica Schmidt; Viktoria Lindemann; Monica Olsen; Benedikt Cramer; Hans-Ulrich Humpf
Journal:  Mycotoxin Res       Date:  2021-02-26       Impact factor: 3.833

Review 5.  Review on Mycotoxin Issues in Ruminants: Occurrence in Forages, Effects of Mycotoxin Ingestion on Health Status and Animal Performance and Practical Strategies to Counteract Their Negative Effects.

Authors:  Antonio Gallo; Gianluca Giuberti; Jens C Frisvad; Terenzio Bertuzzi; Kristian F Nielsen
Journal:  Toxins (Basel)       Date:  2015-08-12       Impact factor: 4.546

6.  Preliminary estimation of deoxynivalenol excretion through a 24 h pilot study.

Authors:  Yelko Rodríguez-Carrasco; Jordi Mañes; Houda Berrada; Guillermina Font
Journal:  Toxins (Basel)       Date:  2015-02-25       Impact factor: 4.546

Review 7.  Ochratoxin A: 50 Years of Research.

Authors:  Frantisek Malir; Vladimir Ostry; Annie Pfohl-Leszkowicz; Jan Malir; Jakub Toman
Journal:  Toxins (Basel)       Date:  2016-07-04       Impact factor: 4.546

8.  Mycotoxin Contamination in Sugarcane Grass and Juice: First Report on Detection of Multiple Mycotoxins and Exposure Assessment for Aflatoxins B₁ and G₁ in Humans.

Authors:  Mohamed F Abdallah; Rudolf Krska; Michael Sulyok
Journal:  Toxins (Basel)       Date:  2016-11-18       Impact factor: 4.546

9.  Determination of Urinary Mycotoxin Biomarkers Using a Sensitive Online Solid Phase Extraction-UHPLC-MS/MS Method.

Authors:  Jessica Schmidt; Benedikt Cramer; Paul C Turner; Rebecca J Stoltzfus; Jean H Humphrey; Laura E Smith; Hans-Ulrich Humpf
Journal:  Toxins (Basel)       Date:  2021-06-11       Impact factor: 4.546

Review 10.  LC-MS/MS-based multibiomarker approaches for the assessment of human exposure to mycotoxins.

Authors:  Benedikt Warth; Michael Sulyok; Rudolf Krska
Journal:  Anal Bioanal Chem       Date:  2013-06-18       Impact factor: 4.142

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