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利用基于糖肽的分子印迹荧光聚合物提高糖蛋白的检测和识别。

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

机构信息

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

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

出版信息

Mikrochim Acta. 2021 Nov 29;188(12):439. doi: 10.1007/s00604-021-05099-z.

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.

摘要

高特异性新型糖肽基荧光分子印迹聚合物(g-FMIPs)被构建用于识别和测定复杂生物样品中的目标糖蛋白。卵清蛋白(OVA)的糖肽具有聚糖和肽的独特结构特征,并且具有提高 g-FMIPs 特异性识别的潜在应用,被选择为模板分子。氮掺杂石墨烯量子点(N-GQDs)被引入用于荧光响应。所得的 g-FMIPs 具有快速的结合动力学和高吸附容量。值得注意的是,g-FMIPs 表现出显著的选择性和灵敏度,具有 6.57 的高印迹因子、0.625-5.00 μM 的良好线性和 0.208 μM 的检测限。用 g-FMIPs 处理后,洗脱液中 OVA 的浓度为 1.07 μM。在 1.43 μM、2.86 μM 和 4.29 μM 加标浓度下的回收率分别为 97.2%、93.5%和 101%,相对标准偏差分别为 2.6%、4.2%和 1.1%。总之,该策略将扩展 MIPs 的构建方法及其在复杂生物样品中痕量糖蛋白的精密识别和灵敏检测中的应用前景。

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