Key Laboratory of Textile Fiber and Products (Wuhan Textile University), Ministry of Education, Wuhan, 430200, China.
Key Laboratory of Textile Fiber and Products (Wuhan Textile University), Ministry of Education, Wuhan, 430200, China.
Talanta. 2022 Feb 1;238(Pt 2):123055. doi: 10.1016/j.talanta.2021.123055. Epub 2021 Nov 12.
In this study, poly(3, 4-ethylenedioxythiophene) (PEDOT) nanocluster structure was synthesized on the reduced graphene oxide (rGO) modified cotton fibers. The organic electrochemical transistors based on the modified fiber have been assembled and their performance of different gate electrode transistors has been investigated. The transistor exhibits an excellent transconductance of up to 15.5 mS and a high on-off ratio close to 2*10. The bending angle and bending times have little effect on the device performance. The uric acid (UA) sensor based transistor has been fabricated for the first time. Flexible sensors based on molecularly imprinted polymer (MIP) membrane with different fiber gate electrodes have been investigated. The UA sensor with MIP/PEDOT/carbon fiber as the gate electrode has a sensitivity of 100 μA per decade from 1 nM to 500 μM, a linear coefficient of 0.97143, excellent selectivity, and good reproducibility. In addition, fiber based organic electrochemical transistors (FECTs) can be sewn into the fabric for monitoring and have successfully evaluated the detection of UA in artificial urine sample, with data consistent well with the UA concentration obtained from single fiber. Therefore, the sensor based FECTs can be used for low cost, accurate, non-enzymatic detection of UA in clinical diagnostics and bioanalytical applications.
在这项研究中，聚（3,4-亚乙基二氧噻吩）（PEDOT）纳米簇结构在还原氧化石墨烯（rGO）修饰的棉纤维上合成。基于修饰纤维的有机电化学晶体管已被组装，并研究了它们在不同栅电极晶体管中的性能。该晶体管表现出高达 15.5 mS 的出色跨导和接近 2*10 的高导通-关断比。弯曲角度和弯曲次数对器件性能的影响很小。首次基于晶体管制造了尿酸（UA）传感器。基于不同纤维栅电极的分子印迹聚合物（MIP）膜的柔性传感器进行了研究。以 MIP/PEDOT/碳纤维作为栅电极的 UA 传感器在 1 nM 至 500 μM 的范围内具有 100 μA 每 decade 的灵敏度、线性系数为 0.97143、出色的选择性和良好的重现性。此外，基于纤维的有机电化学晶体管（FECT）可以缝入织物中进行监测，并已成功评估了人工尿液样本中 UA 的检测，与从单根纤维获得的 UA 浓度数据非常吻合。因此，基于传感器的 FECT 可用于临床诊断和生物分析应用中低成本、准确、非酶 UA 的检测。
