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<p>Glycine level is an indicator of diseases related to the central nervous system and metabolic disorders such as diabetes and obesity. It is, therefore, relevant to have tools that can detect glycine at physiological concentrations. Biosensors are a reliable alternative to chemical methods for glycine detection, with low cost and high response speed. In the case of glycine detection, a glycine oxidase (GO) can be used as the molecular recognition element in a biosensor. The GO from <i>Azotobacter vinelandii</i> is an uncharacterized enzyme with high sequence identity to the only monomeric FAD-dependent GO from <i>P. putida</i> KT2440. The monomeric state is favorable for oriented immobilization of active sites in a biosensor, which is attractive for future applications. This work characterized the GO from <i>A. vinelandii</i>, and a second-generation glycine amperometric biosensor was assembled. The enzyme was recombinantly expressed and purified. The oligomeric state of the enzyme was also confirmed as the monomer. Therefore, a substrate inhibition behavior was detected in the enzyme kinetics experiments with parameters <i>K</i><sub>m</sub>=4.65, <i>k</i><sub>cat</sub>=0.38, and <i>k</i><sub>si</sub>=23.0. Two second-generation biosensors were assembled, and electrochemical characterization for the detection of glycine was carried out by chronoamperometry. The linear ranges of the biosensors (0.1 to 3 mM and 0.1 to 5 mM, for one- or two-enzyme layers respectively) are in the range of concentration of physiological fluids such as urine and sweat. This research opens new opportunities for applying new strategies that involve monomeric FAD-dependent glycine oxidases in glycine biosensing.</p>

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Monomeric Glycine oxidase from Azotobacter vinelandii for Glycine biosensing

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月11日

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  • Aaron Mena-Rodríguez,
  • Raul Garcia-Morales,
  • Oscar González-Davis,
  • Rafael Vazquez-Duhalt,
  • Alejandro Huerta-Saquero,
  • Andrés Zárate-Romero

摘要

Glycine level is an indicator of diseases related to the central nervous system and metabolic disorders such as diabetes and obesity. It is, therefore, relevant to have tools that can detect glycine at physiological concentrations. Biosensors are a reliable alternative to chemical methods for glycine detection, with low cost and high response speed. In the case of glycine detection, a glycine oxidase (GO) can be used as the molecular recognition element in a biosensor. The GO from Azotobacter vinelandii is an uncharacterized enzyme with high sequence identity to the only monomeric FAD-dependent GO from P. putida KT2440. The monomeric state is favorable for oriented immobilization of active sites in a biosensor, which is attractive for future applications. This work characterized the GO from A. vinelandii, and a second-generation glycine amperometric biosensor was assembled. The enzyme was recombinantly expressed and purified. The oligomeric state of the enzyme was also confirmed as the monomer. Therefore, a substrate inhibition behavior was detected in the enzyme kinetics experiments with parameters Km=4.65, kcat=0.38, and ksi=23.0. Two second-generation biosensors were assembled, and electrochemical characterization for the detection of glycine was carried out by chronoamperometry. The linear ranges of the biosensors (0.1 to 3 mM and 0.1 to 5 mM, for one- or two-enzyme layers respectively) are in the range of concentration of physiological fluids such as urine and sweat. This research opens new opportunities for applying new strategies that involve monomeric FAD-dependent glycine oxidases in glycine biosensing.