期刊
ANALYTICA CHIMICA ACTA
卷 1239, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.aca.2022.340750
关键词
Aptamer affinity; Microextraction column; Mycotoxins; In-line CE-MS analysis
An aptamer affinity-based microextraction column is developed and directly coupled to capillary electrophoresis-mass spectrometry (CE-MS) for mycotoxin analysis in food samples. Single-stranded DNA aptamers for selective recognition of aflatoxin B1 (AFB1) and ochratoxin A (OTA) targets are immobilized on the capillary surface with enhanced loading capacity. The microextraction column demonstrates excellent repeatability and stability, allowing for accurate analysis of mycotoxins in cereal-based infant foods. This approach provides a robust and universal method for selective molecular recognition coupled with CE-MS analysis in various analytical fields.
An aptamer affinity based microextraction column is developed to be directly in-line coupled to capillary electrophoresis-mass spectrometry (CE-MS) for analyzing mycotoxins in food samples. Single-stranded DNA aptamers for selective recognition of aflatoxin B1 (AFB1) and ochratoxin A (OTA) targets are co-immobilized via covalent bonds on the surface of the inlet end of a capillary, which is pre-modified with three-dimensional porous layer and gold nanoparticles to enhance the specific surface area and loading capacity. The outlet of the capillary is designed as a porous tip to serve as the spray source for injection to the mass spectrometry. All the necessary processes for pretreatment and analysis of a sample are accomplished in one injection, including aptamer affinity-based microextraction, CE separation and MS detection of analytes. AFB1 and OTA are simultaneously determined in a wide linear range with sample consumption of only 1ILL and the limit-of-detection as low as 1 pg/mL. The microextraction column exhibits excellent repeatability and stability, which can be used over 45 runs within a month with CE separation efficiency and only MS intensity slightly decreased. Mycotoxins in three kinds of cereal based infant foods are accurately analyzed using the proposed method. The study provides a robust and universal approach that would have potential applications in a variety of analytical fields based on selective molecular recognition coupling to CE-MS analysis.
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