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功能化碳纳米管阵列上垂直生长的铜金纳米晶用于高灵敏度检测癌症生物标志物的碳球。

Cu-Au nanocrystals functionalized carbon nanotube arrays vertically grown on carbon spheres for highly sensitive detecting cancer biomarker.

机构信息

Advanced Materials Institute for BIN Convergence Technology (BK21 Plus Global), Department of BIN Convergence Technology, Chonbuk National University, Jeonju, Jeonbuk 54896, Republic of Korea.

Advanced Materials Institute for BIN Convergence Technology (BK21 Plus Global), Department of BIN Convergence Technology, Chonbuk National University, Jeonju, Jeonbuk 54896, Republic of Korea.

出版信息

Biosens Bioelectron. 2018 Nov 15;119:134-140. doi: 10.1016/j.bios.2018.08.022. Epub 2018 Aug 11.

DOI:10.1016/j.bios.2018.08.022
PMID:30125873
Abstract

A three-dimensional hierarchical nanohybrid based on Cu-Au bimetallic nanocrystals integrated carbon nanotube arrays vertically grown on carbon spheres was successfully developed as an active platform for sensing application. Such nanohybrid can provide abundant active sites and act as an exceptional platform for immobilizing highly dense and well-dispersed carcinoembryonic antibody (anti-CEA) to sensitively detect CEA, an emerging biomarker of various cancer diseases. Due to the unique nanoarchitecture with altered electronic structure of Cu-Au bimetallic catalyst and enhanced interactions between components, such nanohybrid based biosensor demonstrated excellent electrochemical performance towards CEA detection with great sensitivity, wide linear detection range (0.025-25 ng/mL), very low limit of detection (0.5 pg/mL), and good selectivity. The results imply that this sensor has great potential to offer essential information for cancer diagnosis and management with great clinical importance.

摘要

一种基于 Cu-Au 双金属纳米晶的三维分层纳米杂化材料,通过在碳球上垂直生长碳纳米管阵列成功开发,作为传感应用的活性平台。这种纳米杂化材料可以提供丰富的活性位点,并作为固定高度密集和良好分散的癌胚抗原(anti-CEA)的理想平台,以灵敏地检测癌胚抗原,这是各种癌症疾病的新兴生物标志物。由于具有改变的 Cu-Au 双金属催化剂的电子结构和增强的组件之间相互作用的独特纳米结构,基于这种纳米杂化材料的生物传感器在癌胚抗原检测方面表现出优异的电化学性能,具有高灵敏度、宽线性检测范围(0.025-25ng/mL)、非常低的检测限(0.5pg/mL)和良好的选择性。这些结果表明,该传感器具有为癌症诊断和管理提供重要信息的巨大潜力,具有重要的临床意义。

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