دورية أكاديمية

Rapid Antibody Selection Using Surface Plasmon Resonance for High-Speed and Sensitive Hazelnut Lateral Flow Prototypes

التفاصيل البيبلوغرافية
العنوان: Rapid Antibody Selection Using Surface Plasmon Resonance for High-Speed and Sensitive Hazelnut Lateral Flow Prototypes
المؤلفون: Georgina M.S. Ross, Maria G.E.G. Bremer, Jan H. Wichers, Aart van Amerongen, Michel W.F. Nielen
المصدر: Biosensors, Vol 8, Iss 4, p 130 (2018)
بيانات النشر: MDPI AG, 2018.
سنة النشر: 2018
المجموعة: LCC:Biotechnology
مصطلحات موضوعية: surface plasmon resonance, high-speed lateral flow immunoassay, food allergen, carbon nanoparticles, antibody selection, smartphone detection, Biotechnology, TP248.13-248.65
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2079-6374
Relation: https://www.mdpi.com/2079-6374/8/4/130; https://doaj.org/toc/2079-6374
DOI: 10.3390/bios8040130
URL الوصول: https://doaj.org/article/b6fad5856f294bc9b29fb70f4eca906b
رقم الأكسشن: edsdoj.b6fad5856f294bc9b29fb70f4eca906b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:20796374
DOI:10.3390/bios8040130