Projects per year
Abstract
Lateral Flow Immunoassays (LFIAs) allow for rapid, low-cost, screening of many biomolecules such as food allergens. Despite being classified as rapid tests, many LFIAs take 10–20 min to complete. For a really high-speed LFIA, it is necessary to assess antibody association kinetics. By using a label-free optical technique such as Surface Plasmon Resonance (SPR), it is possible to screen crude monoclonal antibody (mAb) preparations for their association rates against a target. Herein, we describe an SPR-based method for screening and selecting crude anti-hazelnut antibodies based on their relative association rates, cross reactivity and sandwich pairing capabilities, for subsequent application in a rapid ligand binding assay. Thanks to the SPR selection process, only the fast mAb (F-50-6B12) and the slow (S-50-5H9) mAb needed purification for labelling with carbon nanoparticles to exploit high-speed LFIA prototypes. The kinetics observed in SPR were reflected in LFIA, with the test line appearing within 30 s, almost two times faster when F-50-6B12 was used, compared with S-50-5H9. Additionally, the LFIAs have demonstrated their future applicability to real life samples by detecting hazelnut in the sub-ppm range in a cookie matrix. Finally, these LFIAs not only provide a qualitative result when read visually, but also generate semi-quantitative data when exploiting freely downloadable smartphone apps.
Original language | English |
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Article number | 130 |
Journal | Biosensors |
Volume | 8 |
Issue number | 4 |
DOIs | |
Publication status | Published - 14 Dec 2018 |
Keywords
- Antibody selection
- Carbon nanoparticles
- Food allergen
- High-speed lateral flow immunoassay
- Smartphone detection
- Surface plasmon resonance
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Dive into the research topics of 'Rapid antibody selection using surface plasmon resonance for high-speed and sensitive hazelnut lateral flow prototypes'. Together they form a unique fingerprint.Projects
- 2 Finished
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FoodSmartphone: Smartphone analyzers for on-site testing of food quality and safety
1/01/17 → 31/03/21
Project: EU research project
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MC ITN network FOODSMARTPHONE (KB-37-002-016, KB-23-002-031)
Gerssen, A. (Project Leader)
1/01/17 → 31/12/22
Project: LVVN project