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Updated: Feb 13, 2026
08:22
Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor
Published on: February 16, 2018
12.6K
Enhanced Selectivity by Passivation: Molecular Imprints for Viruses with Exceptional Binding Properties
Manuela Gast, Stefanie Kühner1, Harald Sobek1
1Labor Dr. Merk & Kollegen GmbH , Beim Braunland 1 , 88414 Ochsenhausen , Germany.
Analytical Chemistry
|March 6, 2018
Summary
This study explores using blocking agents to improve molecular imprinting for adenovirus detection. Quantitative polymerase chain reaction (qPCR) was employed for virus quantification, enhancing selectivity in synthetic recognition systems.
Area of Science:
- Biomimetic materials science
- Synthetic biology
- Analytical chemistry
Background:
- Molecular imprinting mimics biological recognition for synthetic materials.
- Developing imprinted materials for virus recognition is challenging.
- Preventing nonspecific protein adsorption is crucial for biosensor technology.
Purpose of the Study:
- To investigate the impact of blocking agents on the selectivity of adenovirus-imprinted particles.
- To explore the use of quantitative polymerase chain reaction (qPCR) for virus quantification in molecular imprinting.
- To advance synthetic systems for virus recognition.
Main Methods:
- Molecular imprinting using adenovirus as the target species.
- Utilizing blocking agents (e.g., bovine serum albumin) for surface passivation.
- Employing quantitative polymerase chain reaction (qPCR) for virus quantification.
Main Results:
- Blocking agents significantly enhanced the selectivity of adenovirus-imprinted particles.
- qPCR proved effective for quantifying virus targets in this imprinting context.
- Demonstrated a novel approach to improve synthetic virus recognition.
Conclusions:
- Blocking agents can improve the specificity of molecularly imprinted materials for virus detection.
- qPCR is a viable method for quantifying viruses in molecular imprinting assays.
- This research contributes to the development of advanced synthetic recognition systems for viral pathogens.
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