Does polysaccharide is an idea template selection for glycosyl imprinting?

Area of Science:

• Biomolecular Engineering
• Analytical Chemistry
• Biosensor Technology

Background:

• Carbohydrate antigen 19-9 (CA19-9) is a significant biomarker for certain cancers.
• Accurate and sensitive detection of CA19-9 is crucial for early diagnosis and monitoring.
• Existing detection methods may face challenges in selectivity and sensitivity.

Purpose of the Study:

• To develop a novel glycoprotein imprinting strategy for CA19-9 detection.
• To investigate the influence of template saccharide structure on sensor performance.
• To create a highly selective and sensitive biosensor for CA19-9.

Main Methods:

• Utilized a glycosylated glycoprotein complex as a template for sensor construction.
• Employed molecular imprinting techniques to create specific binding cavities.
• Evaluated sensor performance using varying template structures (monosaccharide vs. polysaccharide).
• Tested sensor performance in human serum samples.

Main Results:

• The polysaccharide imprinted sensor demonstrated superior linear response (0.1-5 U/mL) and lower detection limit (0.028 U/mL) for CA19-9 compared to the monosaccharide sensor.
• More complex template structures resulted in enhanced sensor selectivity and sensitivity.
• The polysaccharide imprinted sensor exhibited significant anti-interference capabilities.
• High recovery rates (93.0%-103.5%) were achieved in human serum analysis.

Conclusions:

• Glycoprotein imprinting is an effective strategy for developing sensitive and selective CA19-9 biosensors.
• The complexity of the template saccharide structure directly impacts sensor performance.
• The developed polysaccharide imprinted sensor shows great potential for clinical applications in CA19-9 detection.