• 文献标题:   Real-time and selective detection of nitrates in water using graphene-based field-effect transistor sensors
  • 文献类型:   Article
  • 作  者:   CHEN XY, PU HH, FU ZP, SUI XY, CHANG JB, CHEN JH, MAO S
  • 作者关键词:  
  • 出版物名称:   ENVIRONMENTAL SCIENCENANO
  • ISSN:   2051-8153 EI 2051-8161
  • 通讯作者地址:   Tongji Univ
  • 被引频次:   7
  • DOI:   10.1039/c8en00588e
  • 出版年:   2018

▎ 摘  要

Nitrate, the main form of dissolved nitrogen, is one of the key factors causing water eutrophication. Conventional detection methods are unsuitable for real-time and in situ monitoring of nitrates because they need chemical reagents for sensing and are time-consuming. Here we report a novel nitrate sensor based on a field-effect transistor (FET) device. With reduced graphene oxide (rGO) nanosheets as the FET channel material, the sensor uses benzyltriethylammonium chloride (TEBAC) as a capture probe which has been modified on the rGO surface. The rGO/TEBAC sensor exhibits an ultra-low detection limit of 1.1 g L-1 NO3-N with a rapid response within 2-7 s, which is superior to that of most commonly used sensors and far lower than the threshold concentration of total nitrogen (0.3 mg L-1) for water eutrophication. This simple and miniaturized sensor also shows high selectivity over other anions such as Cl-, SO42- and CO32-. Our study provides a new strategy for rapid, sensitive, and selective detection of nitrates, which is promising for real-time and in situ water quality monitoring.