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Improved detection and recognition of glycoproteins using fluorescent polymers with a molecular imprint based on glycopeptides

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Abstract

Highly specific novel glycopeptide-based fluorescent molecularly imprinting polymers (g-FMIPs) were constructed to recognize and determine the target glycoprotein in complex biological samples. The glycopeptide of ovalbumin (OVA), with the unique structural characteristics of glycan and peptide, and potential application in improving the specificity recognition of g-FMIPs, was selected as the template molecule. The nitrogen-doped graphene quantum dots (N-GQDs) were introduced for fluorescence response. The obtained g-FMIPs possessed rapid binding kinetics and high adsorption capacity. Notably, the g-FMIPs exhibited remarkable selectivity and sensitivity with a high imprinting factor of 6.57, good linearity of 0.625 − 5.00 μM, and limit of detection of 0.208 μM. After treatment with g-FMIPs, the concentration of OVA in eluted solution was 1.07 μM. The obtained recoveries at 1.43 μM, 2.86 μM, and 4.29 μM spiked concentrations were 97.2%, 93.5%, and 101%, respectively, and the relative standard deviations were 2.6%, 4.2%, and 1.1%, respectively. In summary, the proposed strategy will expand the MIPs construction method and its application prospects in precision recognition and sensitive detection of trace glycoproteins from complex biosamples.

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Acknowledgements

We thank Dr Jiamei Liu and Dr Ying Hao at the Instrument Analysis Center of Xi’an Jiaotong University for their assistance with XPS and FT-IR analysis.

Funding

We gratefully acknowledge the National Natural Science Foundation of China (No. 82073807) and the Opening Fund of National & Local Joint Engineering Research Center of High-throughput Drug Screening Technology (No. K20201005) for financial support.

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Authors and Affiliations

  1. School of Pharmacy, Health Science Center, Xi’an Jiaotong University, Xi’an, 710061, China

    Jing Li, Yixuan Yang, Aihong Zhu, Xia Liu & Xiaoyu Xie

  2. National & Local Joint Engineering Research Center of High-Throughput Drug Screening Technology, Hubei University, Wuhan, 430062, China

    Lujun Li

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  1. Jing Li
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Correspondence to Xia Liu or Xiaoyu Xie.

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Li, J., Yang, Y., Zhu, A. et al. Improved detection and recognition of glycoproteins using fluorescent polymers with a molecular imprint based on glycopeptides. Microchim Acta 188, 439 (2021). https://doi.org/10.1007/s00604-021-05099-z

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