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Enzyme-based sensor arrays for rapid characterization of complex disaccharide solutions
Theodore E Curey1, Mary Alice Salazar, Philip Oliveira
1Department of Chemistry and Biochemistry, Institute for Cellular & Molecular Biology, Center for Nano and Molecular Science and Technology, University of Texas at Austin, Mail Code A5300, Austin, TX 78712, USA.
Analytical Biochemistry
|March 22, 2002
Summary
A novel enzyme sensor array detects multiple disaccharides like lactose and sucrose in beverages. This biosensor uses agarose beads and a dye reaction for accurate sugar quantification, even with glucose present.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Biosensors
Background:
- Accurate detection of multiple sugars in complex samples like beverages is challenging.
- Enzyme-based sensors offer specificity for carbohydrate analysis.
- Existing methods may struggle with simultaneous quantification of various disaccharides and monosaccharides.
Purpose of the Study:
- To develop and validate an enzyme-based sensor array for simultaneous detection of multiple disaccharides.
- To quantify specific sugars including lactose, sucrose, maltose, and glucose in aqueous solutions.
- To apply this sensing strategy for analyzing sugar content in real-world samples such as beverages.
Main Methods:
- Fabrication of a silicon chip with a 5x7 array of addressable wells.
- Immobilization of enzyme-derivatized porous agarose beads within each well.
- Detection of enzymatic reactions via the absorbance increase of a quinoneimine dye.
- Incorporation of a dedicated glucose sensor to manage sample complexity.
Main Results:
- The sensor array successfully detected and quantified lactose, sucrose, and maltose.
- The system demonstrated the ability to account for interfering glucose levels.
- Simultaneous sugar analysis was successfully applied to various beverage samples.
Conclusions:
- The developed enzyme sensor array provides a robust platform for multiplexed disaccharide detection.
- This biosensing approach offers a viable method for analyzing sugar profiles in complex matrices.
- The strategy effectively addresses challenges in multicomponent sugar sensing, including the presence of glucose.