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A MoS2@Ti3C2Tx MXene hybrid-based electrochemical aptasensor (MEA) for sensitive and rapid detection of Thyroxine.
Bioelectrochemistry ( IF 5 ) Pub Date : 2020-09-10 , DOI: 10.1016/j.bioelechem.2020.107674
Leila Kashefi-Kheyrabadi 1 , Aneesh Koyappayil 1 , Taeeun Kim 2 , Yong-Pil Cheon 2 , Min-Ho Lee 1
Affiliation  

In the present study, a MoS2@Ti3C2Tx MXene hybrid-based electrochemical aptasensor (MEA) was introduced for sensitive and rapid quantification of Thyroxine (T4). T4 is a crucial hormone and plays a key role in various body functions. Therefore, there is high demand for an accurate, sensitive, and rapid method for the detection of T4. To construct the aptasensor, a nano-hybrid (NH) consisting of Ti3C2Tx MXene and MoS2 nanosheets (NS) was synthesized, and applied to a carbon electrode surface, followed by the electroplating of gold nanostructures (GN). The smart combination of Ti3C2Tx MXene and MoS2NS enhanced the physiochemical properties of the electrode surface, as well as provided a building block to form 3D GN. The 3D architecture of the GN offered a unique substrate to capture numerous T4 aptamer molecules, which consequently amplified the signal by nearly 6-fold. The MEA quantified thyroxine with a limit of detection (LOD) of 0.39 pg/mL over a dynamic range ((7.8 × 10−1) to (7.8 × 106)) pg/mL within 10 min. Moreover, the MEA successfully detected T4 in human serum samples. Lastly, the results obtained from the aptasensor were compared with those from the ELISA standard method. The comparative analysis showed good agreement between the two methods.



中文翻译:

基于MoS2 @ Ti3C2Tx MXene杂合体的电化学适体传感器(MEA),用于灵敏快速检测甲状腺素。

在本研究中,基于MoS 2 @Ti 3 C 2 T x MXene杂化的电化学适体传感器(MEA)被引入用于灵敏和快速定量的甲状腺素(T4)。T4是至关重要的激素,在各种身体机能中起关键作用。因此,迫切需要一种准确,灵敏,快速的T4检测方法。为了构建适体传感器,合成了由Ti 3 C 2 T x MXene和MoS 2纳米片(NS )组成的纳米复合物(NH),并将其应用于碳电极表面,然后电镀金纳米结构(GN)。Ti 3 C 2的智能组合T x MXene和MoS 2 NS增强了电极表面的物理化学特性,并为形成3D GN提供了基础。GN的3D结构为捕获大量T4适体分子提供了独特的底物,从而将信号放大了近6倍。MEA定量的甲状腺素在10分钟内的动态范围((7.8×10 -1)至(7.8×10 6))pg / mL范围内的检出限(LOD)为0.39 pg / mL 。而且,MEA成功地检测了人血清样品中的T4。最后,将适体传感器获得的结果与ELISA标准方法获得的结果进行比较。比较分析显示两种方法之间的一致性好。

更新日期:2020-09-18
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