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Graphene Oxide Adsorbent-Based Dispersive Solid Phase Extraction Coupled with Multi-pretreatment Clean-up for Analysis of Trace Ochratoxin A in Chicken Liver

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Abstract

Graphene oxide (GO)-based dispersive solid phase extraction (D-SPE) method combined with multi-step preparation has been put forward for the evaluation of trace ochratoxin A (OTA) in chicken liver. The homogenized tissue sample was initially clean-up and extracted with petroleum ether, ethyl acetate and 0.1 mol/L sodium bicarbonate solution and then adsorbed using GO originally targeting for OTA. The adsorbed OTA was then eluted twice by 1 mL of methanol and finally quantified by high performance liquid chromatography fluorescence detection (HPLC-FD). As a result, the matrix effect of chicken liver tissue was removed to a great extent after a series of processing steps. Under the optimum conditions, the functionality of the method was attested and this method demonstrated proper sensitivity, with detection and quantification limits equal to 0.02 ng/mL and 0.04 ng/mL, respectively. The method turned out to be accurate with recoveries ranging from 86.4 to 102.9%. Furthermore, the established method was applied to assess OTA contamination in different batches chicken liver, which revealed that two supermarket-sold and three individual domestic samples were contaminated with OTA (33% frequency) and the proposed method was suitable for continuous monitoring for OTA in chicken liver to ensure food safety.

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Acknowledgements

The authors gratefully acknowledge the funding supported by the Science and Technology Research Project of Higher Education Institutions in Hebei Province.

Funding

This study was supported by the Science and Technology Research Project of Higher Education Institutions in Hebei Province (Project No. QN2017106).

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Correspondence to Ye Jiang.

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Cui, Y., Ma, H., Liu, D. et al. Graphene Oxide Adsorbent-Based Dispersive Solid Phase Extraction Coupled with Multi-pretreatment Clean-up for Analysis of Trace Ochratoxin A in Chicken Liver. Chromatographia 83, 1307–1314 (2020). https://doi.org/10.1007/s10337-020-03942-8

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  • DOI: https://doi.org/10.1007/s10337-020-03942-8

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