Offline Glucose Biomonitoring in Yeast Culture by Polyamidoamine/Cysteamine-Modified Gold Electrodes

authored by: Merve Yuksel, Mehriban Akin, Caner Geyik, Dilek Odaci Demirkol, Caglar Ozdemir, Arne Bluma, Tim Höpfner, Sascha Beutel, Suna Timur, Thomas Scheper
Abstract: This article deals with the use of pyranose oxidase (PyOx) and glucose oxidase (GOx) enzymes in amperometric biosensor design and their application in monitoring fermentation processes with the combination of flow injection analysis (FIA). The amperometric studies were carried out at -0.7 V by following the oxygen consumption due to the enzymatic reactions for both batch and FIA modes. Optimization studies (enzyme amounts and pH) and analytical parameters such as linearity, repeatability, effect of interference, storage, and operational stabilities have been studied. Under optimized conditions, for the PyOx-based biosensor, linear graph was obtained from 0.025 to 0.5 mM glucose in phosphate buffer (50 mM) at pH 7.0 with the equation of y = 3.358x + 0.028 and R² = 0.998. Linearity was found to be 0.01-1.0 mM in citrate buffer (50 mM and pH 4.0) with the equation of y = 1.539x + 0.181 and R² = 0.992 for the GOx biosensor. Finally, these biosensor configurations were further evaluated in a conventional flow injection system. Results from batch experiments provide a guide to design sensitive, stable, and interference-free biosensors for FIA mode. Biosensor stability, dynamic range, and repeatability were also studied in FIA conditions, and the applicability for the determination of glucose in fermentation medium could be successfully demonstrated. The FIA-combined glucose biosensor was used for the offline monitoring of yeast fermentation. The obtained results correlated well with HPLC measurements.
Organisation(s): Institute of Technical Chemistry
External Organisation(s): Ege University
Type: Article
Journal: Biotechnology progress
Volume: 27
Pages: 530-538
No. of pages: 9
ISSN: 8756-7938
Publication date: 12.11.2010
Publication status: Published
Peer reviewed: Yes
ASJC Scopus subject areas: Biotechnology
Electronic version(s): https://doi.org/10.1002/btpr.544 (Access: Unknown)

BibTeX

@article{a8118377a3fa47c1874c5f9e3b109aa1,
title = "Offline Glucose Biomonitoring in Yeast Culture by Polyamidoamine/Cysteamine-Modified Gold Electrodes",
abstract = "This article deals with the use of pyranose oxidase (PyOx) and glucose oxidase (GOx) enzymes in amperometric biosensor design and their application in monitoring fermentation processes with the combination of flow injection analysis (FIA). The amperometric studies were carried out at -0.7 V by following the oxygen consumption due to the enzymatic reactions for both batch and FIA modes. Optimization studies (enzyme amounts and pH) and analytical parameters such as linearity, repeatability, effect of interference, storage, and operational stabilities have been studied. Under optimized conditions, for the PyOx-based biosensor, linear graph was obtained from 0.025 to 0.5 mM glucose in phosphate buffer (50 mM) at pH 7.0 with the equation of y = 3.358x + 0.028 and R2 = 0.998. Linearity was found to be 0.01-1.0 mM in citrate buffer (50 mM and pH 4.0) with the equation of y = 1.539x + 0.181 and R2 = 0.992 for the GOx biosensor. Finally, these biosensor configurations were further evaluated in a conventional flow injection system. Results from batch experiments provide a guide to design sensitive, stable, and interference-free biosensors for FIA mode. Biosensor stability, dynamic range, and repeatability were also studied in FIA conditions, and the applicability for the determination of glucose in fermentation medium could be successfully demonstrated. The FIA-combined glucose biosensor was used for the offline monitoring of yeast fermentation. The obtained results correlated well with HPLC measurements.",
keywords = "Flow injection analysis, Glucose biomonitoring, Glucose oxidase, Pyranose oxidase, Self-assembled monolayers",
author = "Merve Yuksel and Mehriban Akin and Caner Geyik and Demirkol, {Dilek Odaci} and Caglar Ozdemir and Arne Bluma and Tim H{\"o}pfner and Sascha Beutel and Suna Timur and Thomas Scheper",
year = "2010",
month = nov,
day = "12",
doi = "10.1002/btpr.544",
language = "English",
volume = "27",
pages = "530--538",
journal = "Biotechnology progress",
issn = "8756-7938",
publisher = "Wiley-Blackwell",
number = "2",
}