Application of a voltammetric enzymatic biosensor based on crude extract of Marasmiellus colocasiae for the detection of phenolic compounds in drinking water

  • Érica Aparecida Batista Faculdade de Farmácia. Laboratório de Análise Farmacêutica e Ambientais (LAFAM). Universidade Federal de Goiás (UFG), Praça Universitária, nº 1166, CEP: 74605-220, Goiânia, GO, Brazil.
  • Luane Ferreira Garcia Faculdade de Farmácia. Universidade Federal de Goiás (UFG), Rua 240, s/n, CEP: 74605-170, Goiânia, GO, Brazil.
  • Antonio João Carvalho de Albuquerque Departamento de Engenharia Civil e Arquitetura. Faculdade de Engenharia. Universidade da Beira Interior (UBI), Calçada Fonte do Lameiro, 6201-001, Covilhã, Portugal.
  • Nara Ballaminut Escola de Engenharia Civil e Ambiental. Laboratório de Análise de Água. Universidade Federal de Goiás (UFG), Avenida Universitária, Quadra 86, CEP: 74605-220, Goiânia, GO, Brazil.
  • Paulo Sérgio Scalize Escola de Engenharia Civil e Ambiental. Departamento de Hidráulica e Saneamento. Universidade Federal de Goiás (UFG), Avenida Universitária, Quadra 86, CEP: 74605-220, Goiânia, GO, Brazil.
  • Eric Souza Gil Faculdade de Farmácia. Universidade Federal de Goiás (UFG), Rua 240, s/n, CEP: 74605-170, Goiânia, GO, Brazil.
Keywords: electrochemical biosensor, micropollutants, polyphenol oxidases, potable water.

Abstract

The chemical and pharmaceutical industries are the main generators of residues, such as phenolic microcontaminants, including catechol, resorcinol, p-nitrophenol and 4-chlorophenol. Therefore, this work aims to identify these microcontaminants through an emerging contaminant biosensor by means of an enzymatic biosensor constructed with an enzymatic extract from the fungus Marasmiellus colocasiae. Based on the differential pulse voltammetry electrochemical technique, the biosensor was used to analyze the patterns of catechol, resorcinol, p-nitrophenol and 4-chlorophenol. The analysis of a sample prepared with these standards in water from the public supply network was also carried out. As a result, it was possible to verify that the biosensor developed in this study is more sensitive than conventional methods and has a greater affinity for catechol. In the sample prepared with the standards, it was possible to qualitatively identify the presence of 4-chlorophenol, resorcinol and catechol. The proposed biosensor was sensitive and has potential for application in the analysis of microcontaminants in the environment with the detection limit = 0.17 µmol L-1, and the quantification limit = 0.52 µmol L-1.


Published
11/11/2020
Section
Papers