Monitoring Cd2+ in oily wastewater using an aptamer-graphene field-effect transistor with a selective wetting surface

  • Hao Wang
  • , Zhuang Hao
  • , Cong Huang
  • , Feiran Li*
  • , Yunlu Pan*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The discharge of oily industrial wastewater containing heavy metal ions with the development of industry severely threatens the environment and human health. Therefore, it is of great significance to monitor the concentration of heavy metal ions in oily wastewater quickly and effectively. Here, an integrated Cd2+ monitoring system consisting of an aptamer-graphene field-effect transistor (A-GFET), oleophobic/hydrophilic surface and monitoring-alarm circuits was presented for monitoring the Cd2+ concentration in oily wastewater. In the system, oil and other impurities in wastewater are isolated by an oleophobic/hydrophilic membrane before detection. The concentration of Cd2+ is then detected by a graphene field-effect transistor with a Cd2+ aptamer modifying the graphene channel. Finally, the detected signal is collected and processed by signal processing circuits to judge whether the Cd2+ concentration exceeds the standard. Experimental results demonstrated that the separation efficiency of the oleophobic/hydrophilic membrane to an oil/water mixture was up to 99.9%, exhibiting a high oil/water separation ability. The A-GFET detecting platform could respond to changes in the Cd2+ concentration within 10 min with a limit of detection (LOD) of 0.125 pM. The sensitivity of this detection platform to Cd2+ near 1 nM was 7.643 × 10−2 nM−1. Compared with control ions (Cr3+, Pb2+, Mg2+, Fe3+), this detection platform exhibited a high specificity to Cd2+. Moreover, the system could send out a photoacoustic alarm signal when the Cd2+ concentration in the monitoring solution exceeds the preset value. Therefore, the system is practical for monitoring the concentration of heavy metal ions in oily wastewater.

Original languageEnglish
Pages (from-to)1416-1424
Number of pages9
JournalNanoscale Advances
Volume5
Issue number5
DOIs
StatePublished - 13 Dec 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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