Development of a QCM-D-Based Aptasensor for the Real-Time Detection of β-Lactoglobulin
The prevalence of food allergies has been steadily increasing in recent years. β-lactoglobulin (β-LG), the main allergenic protein of milk and dairy allergies, is more commonly observed in infants and children. In this study, a β-LG-specific aptamer was selected using the combinatorial chemistry process known as systematic evolution of ligands by exponential enrichment (SELEX), and a quartz crystal microbalance with dissipation monitoring (QCM-D)-based aptasensor was developed using a novel surface functionalization technique, which mimics an artificial cell membrane on the QCM-D sensor surface, creating a physiologically relevant environment for the binding of the target to the sensor. Through SELEX combined with next-generation sequencing (NGS), the aptamer Apt 356 was identified. Its binding to β-LG was confirmed via dot blot analysis. The selected Apt 356 was then used for the development of a QCM-D-based sensor. To fabricate the sensor, the quartz surface was functionalized with a supported lipid bilayer (SLB). The β-LG-specific aptamer was immobilized onto this SLB. The results demonstrated that the QCM-D system allows real-time observation and evaluation of the binding of β-LG. While there have been some studies on aptasensors for the β-LG protein, to the best of our knowledge, this is the first QCM-D-based aptasensor developed specifically for β-LG protein detection.
Authors
- Christian Schlensak (ORCID: https://orcid.org/0000-0001-8649-597X)
- Meltem Avci‐Adali (ORCID: https://orcid.org/0000-0003-4008-4272)
- Nicolas Casadei (ORCID: https://orcid.org/0000-0003-2209-0580)
- Tuba Çanak-Ipek (ORCID: https://orcid.org/0000-0002-0399-531X)
- Anna‐Kristina Marel (ORCID: https://orcid.org/0000-0002-7518-8285)
- Melis Güler Girbas
Institutions
- University Children's Hospital Tübingen (DE)
- Bernstein Center for Computational Neuroscience Tübingen (DE)
- Max Rubner Institut (DE)
- University of Tübingen (DE)
Publication Details
- Journal
- Biosensors
- Published
- 2025-08-27
- DOI
- https://doi.org/10.3390/bios15090563
- Citations
- 1
- Primary Topic
- Advanced biosensing and bioanalysis techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Deutsche Forschungsgemeinschaft
- Eberhard Karls Universität Tübingen
- Bundesministerium für Ernährung und Landwirtschaft
- Bundesamt für Landwirtschaft