Computational Model-Assisted Development of a Nonenzymatic Fluorescent Glucose-Sensing Assay

Deep-red fluorescence was implemented in this fully injectable, nonenzymatic glucose biosensor design to allow for better light penetration through the skin, particularly for darker skin tones. In this work, a novel method was developed to synthesize Cy5.5 labeled mannose conjugates (Cy5.5-mannobiose, Cy5.5-mannotriose, and Cy5.5-mannotetraose) to act as the fluorescent competing ligand in a competitive binding assay with the protein Concanavalin A acting as the recognition molecule. Using fluorescence anisotropy (FA) data, a computational model was developed to determine optimal concentration ratios of the assay components to allow for sensitive glucose measurements within the physiological range. The model was experimentally validated by measuring the glucose response via FA of the three Cy5.5-labeled mannose conjugates synthesized with Cy5.5-mannotetraose demonstrating the most sensitive response to glucose across the physiological range. The developed method may be broadly applied to a vast range of commercially available fluorescent dyes and opens up opportunities for glucose measurements using nonenzymatic assays.

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Publication Details

Journal
ACS Sensors
Published
2024-11-13
DOI
https://doi.org/10.1021/acssensors.4c02117
Citations
2
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.42

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article

Computational Model-Assisted Development of a Nonenzymatic Fluorescent Glucose-Sensing Assay

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2 citations
ACS Sensors
Electrochemical sensors and biosensors
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article

Computational Model-Assisted Development of a Nonenzymatic Fluorescent Glucose-Sensing Assay

Melissa A. Grunlan, Tyler Lalonde, Alicia Megía-Fernández, Mark Bradley, Lydia Colvin, Dandan Tu, Gerard L. Coté, Wenshe Ray Liu, Muhammed Üçüncü, Darin Dunlap, Diana Al Husseini
article en
2 citations

Abstract

Deep-red fluorescence was implemented in this fully injectable, nonenzymatic glucose biosensor design to allow for better light penetration through the skin, particularly for darker skin tones. In this work, a novel method was developed to synthesize Cy5.5 labeled mannose conjugates (Cy5.5-mannobiose, Cy5.5-mannotriose, and Cy5.5-mannotetraose) to act as the fluorescent competing ligand in a competitive binding assay with the protein Concanavalin A acting as the recognition molecule. Using fluorescence anisotropy (FA) data, a computational model was developed to determine optimal concentration ratios of the assay components to allow for sensitive glucose measurements within the physiological range. The model was experimentally validated by measuring the glucose response via FA of the three Cy5.5-labeled mannose conjugates synthesized with Cy5.5-mannotetraose demonstrating the most sensitive response to glucose across the physiological range. The developed method may be broadly applied to a vast range of commercially available fluorescent dyes and opens up opportunities for glucose measurements using nonenzymatic assays.

ACS SensorsVol. 9(11)
Texas A&M Engineering Experiment Station, Texas A&M University (US), University of Edinburgh (GB)
National Science Foundation, McGill University, Queen Mary University of London, Robert J. Kleberg, Jr. and Helen C. Kleberg Foundation, McGill University Health Centre, Universidad de Granada, Division of Chemical, Bioengineering, Environmental, and Transport Systems
Zero hunger
Openalex Percentile: Top 37%
Electrochemical sensors and biosensors
0.42
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