Developing a binary composite of covalent organic framework and gold microstructures: Highly efficient dual-mode catalyst for analysis of nitrophenol isomers and their oxidative products

Ponnusamy Arul, Sheng Tung Huang, Chinnathambi Nandhini, Chi Hsien Huang, N. S.K. Gowthaman

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

As a key hazard, nitrophenol and its byproducts are a vital raw material in the industry and potentially released into aquatic environments, which affects the ecosystem and severely threatens living systems. It is crucial to detect nitro-hazards quantitatively and systematically. The unique structures of isomer separation and catalytic reduction are highly complex in a single system, not yet reported detection method. The present report constructed robust gold-microstructures (AuMSs) with bis-triazole-derived covalent organic framework (BTCOF) was developed to analyze the dual-mode application of electrochemical redox signals and catalytic degradation of nitrophenol isomers (NPIs) and their oxidative products. The synergistic interaction of tunable surfaces on binary materials enhanced catalytic efficiency, faster kinetic rates, and poor passivation effect. Based on the variance in pKa values, both NPIs and nitrosophenols (NSPIs) could be identified, peak separated, and sensed simultaneously. A catalyst combined with NaBH4, enabled NPIs reduction within 10 minutes. This proposed electrochemical method achieved a nanomolar LOD (1.82, 1.67, and 1.15 × 10−9 M for o-, m-, and p-NPs), excellent sensitivity to ultrawide linear range concentrations while being selective, and reproducible. Moreover, AuMSs-BTCOF/GCE detected NPIs in the industrial effluents and biofluids with recovery rates between 94.70 to 99.95 ± 0.18 % with RSD of 2.86 %. The electrochemical result was validated by conventional method with proven statistical analysis (error 4.02 %). In the catalytic reduction of NPIs, the catalyst is more than 89.24 % efficient, and durable stability. The designed system has proven to be an effective, sensitive, and accurate dual-detection tool for monitoring environmental targets and diagnosing diseases.

Original languageEnglish
Article number111493
JournalComposites Part B: Engineering
Volume281
DOIs
StatePublished - 15 Jul 2024

Bibliographical note

Publisher Copyright:
© 2024 Elsevier Ltd

Keywords

  • Aminophenols
  • Catalytic reaction
  • Covalent organic framework
  • Electrochemical sensor
  • Nitrophenols

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