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Direct glucose determination in blood using a reagentless optical biosensor.

Vanesa Sanz1, Susana de Marcos, Javier Galbán

  • 1ABG (Analytical Biosensors Group), INA (Instituto de Nanociencia de Aragón), Analytical Chemistry Department, Faculty of Sciences, University of Zaragoza, 50009 Zaragoza, Spain.

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This study presents a novel reagentless biosensor for direct blood glucose determination using intrinsic spectroscopic properties. This method simplifies analysis by eliminating sample pretreatment, offering a stable and efficient diagnostic tool.

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Biosensor Technology

Background:

  • Accurate glucose monitoring is crucial for diabetes management.
  • Existing methods often require complex sample pretreatment.
  • Need for rapid, reagentless, and direct blood glucose measurement techniques.

Purpose of the Study:

  • To develop and demonstrate a reagentless biosensor for direct blood glucose determination.
  • To utilize the intrinsic spectroscopic properties of enzymes for sensing.
  • To establish a simplified and efficient method for blood glucose analysis.

Main Methods:

  • Immobilization of horseradish peroxidase (HRP) and glucose oxidase (GOx) in a polyacrylamide gel matrix.
  • Development of a reagentless biosensor utilizing intrinsic spectroscopic properties.
  • Direct analysis of diluted blood samples without pretreatment, with absorption correction.

Main Results:

  • The biosensor operates in continuous mode with a linear response range from 1.5 x 10(-6) to 5.5 x 10(-5) M.
  • Achieved a minimum sample rate of 30 samples per hour.
  • Demonstrated stability for at least 750 measurements.
  • Successfully modeled biosensor signals for potential application to other compounds.

Conclusions:

  • A reagentless biosensor enables direct and efficient blood glucose determination.
  • The developed method simplifies blood glucose analysis by eliminating pretreatment steps.
  • The biosensor technology shows promise for broader applications in biochemical compound detection.