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Facile analysis of mycotoxin in coffee and tea samples using a novel semi-automated in-syringe based fast mycotoxin extraction (FaMEx) technique coupled with direct-injection ESI-MS/MS analysis.
Prakasham, Karthikeyan; Gurrani, Swapnil; Shiea, Jentaie; Wu, Ming-Tsang; Singhania, Reeta Rani; Patel, Anil Kumar; Dong, Cheng-Di; Lin, Yu-Chia; Tsai, Bongee; Huang, Po-Chin; Andaluri, Gangadhar; Ponnusamy, Vinoth Kumar.
Afiliação
  • Prakasham K; PhD Program in Environmental and Occupational Medicine, & Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807 Taiwan.
  • Gurrani S; PhD Program in Environmental and Occupational Medicine, & Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807 Taiwan.
  • Shiea J; Department of Medicinal and Applied Chemistry, Kaohsiung Medical University (KMU), Kaohsiung City, 807 Taiwan.
  • Wu MT; Department of Chemistry, National Sun Yat-Sen University, Kaohsiung City, 804 Taiwan.
  • Singhania RR; PhD Program in Environmental and Occupational Medicine, & Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807 Taiwan.
  • Patel AK; Department of Public Health, Kaohsiung Medical University (KMU), Kaohsiung City, 807 Taiwan.
  • Dong CD; PhD Program of Aquatic Science and Technology & Department of Marine Environmental Engineering, College of Hydrosphere Science, National Kaohsiung University of Science and Technology (NKUST), Kaohsiung City, 81157 Taiwan.
  • Lin YC; PhD Program of Aquatic Science and Technology & Department of Marine Environmental Engineering, College of Hydrosphere Science, National Kaohsiung University of Science and Technology (NKUST), Kaohsiung City, 81157 Taiwan.
  • Tsai B; PhD Program of Aquatic Science and Technology & Department of Marine Environmental Engineering, College of Hydrosphere Science, National Kaohsiung University of Science and Technology (NKUST), Kaohsiung City, 81157 Taiwan.
  • Huang PC; Research and Development Division, Great Engineering Technology (GETECH) Corporation, No.392, Yucheng Rd., Zuoying District, Kaohsiung City, 813 Taiwan.
  • Andaluri G; Research and Development Division, Great Engineering Technology (GETECH) Corporation, No.392, Yucheng Rd., Zuoying District, Kaohsiung City, 813 Taiwan.
  • Ponnusamy VK; PhD Program in Environmental and Occupational Medicine, & Research Center for Precision Environmental Medicine, Kaohsiung Medical University (KMU), Kaohsiung City, 807 Taiwan.
J Food Sci Technol ; 60(7): 1992-2000, 2023 Jul.
Article em En | MEDLINE | ID: mdl-37206414
ABSTRACT
Identifying the risk of ochratoxin A in our daily food has become fundamental because of its toxicity. In this work, we report a novel semi-automated in-syringe-based fast mycotoxin extraction (IS-FaMEx) technique coupled with direct-injection electrospray-ionization tandem mass spectrometer (ESI-MS/MS) detection for the quantification of ochratoxin A in coffee and tea samples. Under the optimized conditions, the results reveal that the developed method's linearity was more remarkable, with a correlation coefficient of > 0.999 and > 92% extraction recovery with a precision of 6%. The detection and quantification limits for ochratoxin A were 0.2 and 0.8 ng g-1 for the developed method, respectively, which is lower than the European Union regulatory limit of toxicity for ochratoxin-A (5 ng g-1) in coffee. Furthermore, the newly developed modified IS-FaMEx-ESI-MS/MS exhibited lower signal suppression of 8% with a good green metric score of 0.64. In addition, the IS-FaMEx-ESI-MS/MS showed good extraction recovery, matrix elimination, good detection, and quantification limits with high accuracy and precision due to the fewer extraction steps with semi-automation. Therefore, the presented method can be applied as a potential methodology for the detection of mycotoxins in food products for food safety and quality control purposes. Supplementary Information The online version contains supplementary material available at 10.1007/s13197-023-05733-z.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Food Sci Technol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Food Sci Technol Ano de publicação: 2023 Tipo de documento: Article