A highly sensitive peptide-based biosensor using NiCo2O4 nanosheets and g-C3N4 nanocomposite to construct amplified strategy for trypsin detection
A highly sensitive peptide-based biosensor using NiCo2O4 nanosheets and g-C3N4 nanocomposite to construct amplified strategy for trypsin detection
复制标题
一种高灵敏度的基于肽的生物传感器，使用 NiCo2O4 纳米片和 g-C3N4 纳米复合材料构建胰蛋白酶检测的放大策略。
DOI：
10.1016/j.aca.2018.06.040
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发表时间：
2018-12-04
影响因子：
6.2
通讯作者：
Lin, Jianhua
中科院分区：
文献类型：
--
作者：
Lin, Yanyu;Shen, Rongkai;Lin, Jianhua
基于对胰酶和多肽的特异性识别，提出了一种简单的电化学生物传感器。首先，由于NiCo2O4纳米片的特殊结构(Co3O4八面体位置的Ni3+阳离子)具有很强的电子导电性和高的电化学活性，首先在裸电极上浇铸NiCo2O4-PAMAM纳米复合材料，以实现在0.1 mM[Ru(NH3)(6)](3+)溶液中的电化学信号放大。随后，当g-C3N4标记的多肽复合材料锚定在电极上时，电化学信号减弱。然而，在溶液中加入胰酶并与生物传感器孵育后，电化学信号再次被促进。因此，合成的生物传感器可以通过对胰蛋白酶和多肽的特异性识别来实现对胰蛋白酶的灵敏检测。结果表明，所开发的多肽在10(-10)~10(-4)mg mL(-1)范围内呈良好的线性关系，超低检出限为10(-10)mg mL(-1)，具有良好的稳定性、良好的选择性、可接受的重复性和准确的信号输出，提供了灵敏的分析性能和在临床测试和疾病诊断中的应用潜力。(C)2018爱思唯尔B.V.保留所有权利。
Here, a simple electrochemical biosensor was proposed based on the specific recognition between trypsin and peptide. Initially, NiCo2O4-PAMAM nanocomposite was casted on the bare electrode to achieve the electrochemical signal amplification in 0.1 mM [Ru(NH3)(6)](3+) solution owing to the great electronic conductivity and high electrochemical activity induced by the special structure of NiCo2O4 nanosheets (Ni3+ cations in octachedral sites of the Co3O4). Subsequently, a declined electrochemical signal was obtained when g-C3N4 labeled peptide composites were anchored on the electrode. However, after trypsin was added into solution and incubated with the biosensor, the electrochemical signal was re-promoted. Therefore, the as-synthesized biosensor could realize the sensitive detection of trypsin by virtue of the specific recognition between trypsin and peptide. As a result, the developed peptide-based exhibited a linear range from 10(-10) to 10(-4) mg mL(-1) with an ultralow detection limit of 10(-10) mg mL(-1), providing sensitive analytical performance and acceptable application potential in clinical test and disease diagnosis due to its high stability, excellent selectivity, acceptable reproducibility and accurate signal output. (c) 2018 Elsevier B.V. All rights reserved.