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Updated: Jun 25, 2026
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Printed Glycan Array: A Sensitive Technique for the Analysis of the Repertoire of Circulating Anti-carbohydrate Antibodies in Small Animals
Published on: February 14, 2019
XPS and SPR analysis of glycoarray surface density.
Marshal Dhayal1, Daniel M Ratner
1Department of Bioengineering, University of Washington, Seattle, Washington 98195, USA.
Langmuir : the ACS Journal of Surfaces and Colloids
|February 10, 2009
Summary
We developed X-ray photoelectron spectroscopy (XPS) and SPR imaging methods to analyze carbohydrate biosensor surfaces. These techniques quantify glycan coverage and relate it to Concanavalin A (ConA) protein binding, optimizing glycoarray performance.
Area of Science:
- Glycobiology
- Surface Chemistry
- Biosensor Development
Background:
- Carbohydrate microarrays (glycoarrays) are increasingly used in glycobiology.
- The surface chemistry of glycoarrays remains underexplored.
- Need for surface analytical techniques to characterize carbohydrate-modified surfaces.
Purpose of the Study:
- Develop quantitative X-ray photoelectron spectroscopy (XPS) and surface plasmon resonance imaging (SPR) methods.
- Characterize carbohydrate-modified surfaces for glycan biosensors.
- Analyze the relative coverage of mixed self-assembled monolayers (SAMs) on gold.
Main Methods:
- Comparative analysis of mixed SAMs on gold using varying concentrations of thiol-functionalized trimannoside and polyethylene glycol (PEG) oligomers.
- X-ray photoelectron spectroscopy (XPS) C1s core level analysis to identify and quantify carbohydrate acetal moiety.
- Surface plasmon resonance (SPR) imaging for kinetic analysis of Concanavalin A (ConA) binding to SAMs with varying glycan densities.
Main Results:
- XPS demonstrated a proportional increase in the carbohydrate acetal signature with increasing sugar concentration in mixed SAMs.
- SPR imaging revealed ConA protein binding is highly dependent on glycan density.
- The nature of the PEG-thiol used in mixed self-assembly also influenced protein binding.
Conclusions:
- XPS and SPR imaging are valuable tools for characterizing and optimizing carbohydrate biosensors.
- Surface analytical techniques provide insights into the relationship between glycan density and biological function.
- Understanding surface chemistry is crucial for advancing glycoarray technology.
