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An automatic glucose monitoring system based on periplasmic binding proteins for online bioprocess monitoring.
Hasan, Hasibul; Kumar, Vikash; Ge, Xudong; Sundberg, Chad; Slaughter, Christopher; Rao, Govind.
Afiliação
  • Hasan H; Center for Advanced Sensor Technology (CAST), University of Maryland, Baltimore County, Baltimore, MD, USA; Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA.
  • Kumar V; Center for Advanced Sensor Technology (CAST), University of Maryland, Baltimore County, Baltimore, MD, USA; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA.
  • Ge X; Center for Advanced Sensor Technology (CAST), University of Maryland, Baltimore County, Baltimore, MD, USA; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA.
  • Sundberg C; Center for Advanced Sensor Technology (CAST), University of Maryland, Baltimore County, Baltimore, MD, USA; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA.
  • Slaughter C; Center for Advanced Sensor Technology (CAST), University of Maryland, Baltimore County, Baltimore, MD, USA; Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA.
  • Rao G; Center for Advanced Sensor Technology (CAST), University of Maryland, Baltimore County, Baltimore, MD, USA; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA. Electronic address: grao@umbc.edu.
Biosens Bioelectron ; 253: 116138, 2024 Jun 01.
Article em En | MEDLINE | ID: mdl-38428070
ABSTRACT
Glucose is one of the most vital nutrients in all living organisms, so its monitoring is critical in healthcare and bioprocessing. Enzymatic sensors are more popular as a technology solution to meet the requirement. However, periplasmic binding proteins have been investigated extensively for their high sensitivity, enabling microdialysis sampling to replace existing complex and expensive glucose monitoring solutions based on enzymatic sensors. The binding proteins are used as optical biosensors by introducing an environment-sensitive fluorophore to the protein. The biosensor's construction, characterization, and potential application are well studied, but a complete glucose monitoring system based on it is yet to be reported. This work documents the development of the first glucose sensor prototype based on glucose binding protein (GBP) for automatic and continuous glucose measurements. The development includes immobilizing the protein into reusable chips and a low-cost solution for non-invasive glucose sampling in bioprocesses using microdialysis sampling technique. A program was written in LabVIEW to accompany the prototype for the complete automation of measurement. The sampling technique allowed glucose measurements of a few micromolar to 260 mM glucose levels. A thorough analysis of the sampling mode and the device's performance was conducted. The reported measurement accuracy was 81.78%, with an RSD of 1.83%. The prototype was also used in online glucose monitoring of E. coli cell culture. The mode of glucose sensing can be expanded to the measurement of other analytes by switching the binding proteins.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Proteínas Periplásmicas de Ligação Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Técnicas Biossensoriais / Proteínas Periplásmicas de Ligação Idioma: En Ano de publicação: 2024 Tipo de documento: Article