Layer-by-layer assembly of composite conductive fiber-based organic electrochemical transistor for highly sensitive detection of sialic acid

Layer-by-layer assembly of composite conductive fiber-based organic electrochemical transistor for highly sensitive detection of sialic acid
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基于复合导电纤维的有机电化学晶体管的层层组装用于唾液酸的高灵敏检测

DOI:
10.1016/j.electacta.2022.140716
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发表时间:
2022-06
影响因子:
6.6
通讯作者:
Dong Wang
Dong Wang
中科院分区:
材料科学2区
文献类型:
--
作者:
Rufeng Zhu;Yuedan Wang;Yang Tao;Yao Wang;Yuanli Chen;Mufang Li;Qiongzhen Liu;Liyan Yang;Dong Wang

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采用层层组装技术制备了聚二烯丙基二甲基氯化铵/多壁碳纳米管/聚(3,4-ethylenedioxythiophene)-Poly(styrenesulfonate))复合导电纤维。表征结果表明,该复合膜在棉纤维表面制备成功,具有良好的柔韧性、导电性和耐洗性。用LBL型复合光纤组装的光纤基有机电化学晶体管(FECTS)的通断比为5.1210 2±17.99,峰值跨导为8.7ms,开关响应时间为1.2 S,循环稳定性良好。纤维的弯曲和重复洗手循环对FECTS的电性能没有显著影响。此外,Fect在一周内保持稳定的电性能。用3-氨基苯基硼酸修饰Fect的栅电极,制备了唾液酸(SA)生物传感器。基于FECTS的SA生物传感器的灵敏度为57.66 mV/10,在1 nm-1 mm的宽浓度范围内有良好的线性响应,线性系数R2=0.9848。该传感器可以成功地用于唾液中SA含量的检测。最重要的是,该传感器可以集成到面料中,织造前后的设备性能不会发生明显变化,为可穿戴医疗保健应用提供了一个高效的检测平台。
A novel composites conductive fiber based on Poly(diallyldimethylammonium chloride) and multi-walled carbon nanotubes/Poly(3, 4-ethylenedioxythiophene)-Poly(styrenesulfonate) has been prepared using layer-by-layer assembly (LBL) technology. The characterization results showed the composites film was successful prepared on the cotton fiber and had flexibility, conductivity and washability. The fiber-based organic electrochemical transistors (FECTs) have been assembled by the LBL composite fiber, which exhibit an on/off ratio of 5.1210 2 ±17.99, a peak transconductance value of 8.7 mS, a switching response time of 1.2 s, and excellent cycle stability. Bending and repetitive hand-washing cycles of fibers have no significant influence on the electrical properties of FECTs. Moreover, FECTs maintain stable electrical properties within a week. The gate electrode of the FECT was modified with 3-aminophenylboronic acid to prepare a sialic acid (SA) biosensor. The SA biosensor based on FECTs presented a sensitivity of 57.66 mV per decade, a good linear response in a wide concentration range of 1 nM-1 mM, a linear coefficient R 2 =0.9848. This biosensor can be successful used to detect the SA content in saliva. Most importantly, the sensor can be integrated into fabrics with no significantly change in the device performance before and after weaving, providing an efficient detection platform for wearable healthcare application.
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