4.8 Article

Highly sensitive and selective sensor for sunset yellow based on molecularly imprinted polydopamine-coated multi-walled carbon nanotubes

期刊

BIOSENSORS & BIOELECTRONICS
卷 100, 期 -, 页码 565-570

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2017.10.010

关键词

Molecularly imprinted polymer; Polydopamine; Multi-walled carbon nanotubes; Sunset yellow; Electrochemical sensor

资金

  1. Natural Science Foundation of Zhejiang Province [LQ12B05005]
  2. Program for Science and Technology [2017AY33086, 2017C37029]
  3. National Innovative Training Program for College Students [201610354019]
  4. State Key Laboratory of Analytical Chemistry for Life Science [SKLACLS1205]
  5. Fund from the Key Laboratory of the Ministry of Education for Advanced Catalysis Materials and Key Discipline of Chemistry in Zhejiang (Zhejiang Normal University) [ZJHX201502]
  6. National Natural Science Foundation of China [21677060, 21675142]

向作者/读者索取更多资源

Polydopamine (PDA) can be formed by monomeric self-polymerization in water. This convenient behavior was exploited to prepare a molecularly imprinted polymer (MIP) layer on the surface of multi-walled carbon nanotubes (MWCNTs) with sunset yellow (SY) as a template molecule. The prepared nanocomposites were characterized, and their electrochemical behavior towards SY was investigated. Under the optimized conditions, a glassy carbon electrode modified with the imprinted nanocomposite showed a highly selective and ultrasensitive electrochemical response to SY compared with the performance of control electrodes and previously reported electrochemical sensors for SY. The improved behavior of the developed sensor can be attributed to its superficial highly matched imprinted cavities on the excellent electrocatalytic matrix of MWCNTs and the electronic barrier of the non-imprinted PDA to outside molecules. The fabricated sensor expressed a linear relationship to SY concentrations from 2.2 nM to 4.64 M with a detection limit of 1.4 nM (S/N = 3). The sensor also exhibited excellent selectivity for SY over its structural analogs, good stability, and adequate reproducibility. The prepared sensor was successfully used to detect SY in real spiked samples. This methodology has potential application value and may be readily adapted to design other PDA-based MIP sensors.

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