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Antibody Mimetics for the Detection of Small Organic Compounds Using a Quartz Crystal Microbalance.
Koutsoumpeli, Eleni; Tiede, Christian; Murray, James; Tang, Anna; Bon, Robin S; Tomlinson, Darren C; Johnson, Steven.
Afiliação
  • Koutsoumpeli E; Department of Electronics, University of York , Heslington, York, YO10 5DD, United Kingdom.
  • Johnson S; Department of Electronics, University of York , Heslington, York, YO10 5DD, United Kingdom.
Anal Chem ; 89(5): 3051-3058, 2017 03 07.
Article em En | MEDLINE | ID: mdl-28192970
ABSTRACT
Conventional immunoassays rely on antibodies that provide high affinity, specificity, and selectivity against a target analyte. However, the use of antibodies for the detection of small-sized, nonimmunogenic targets, such as pharmaceuticals and environmental contaminants, presents a number of challenges. Recent advances in protein engineering have led to the emergence of antibody mimetics that offer the high affinity and specificity associated with antibodies, but with reduced batch-to-batch variability, high stability, and in vitro selection to ensure rapid discovery of binders against a wide range of targets. In this work we explore the potential of Affimers, a recent example of antibody mimetics, as suitable bioreceptors for the detection of small organic target compounds, here methylene blue. Target immobilization for Affimer characterization was achieved using long-chained alkanethiol linkers coupled with oligoethylene glycol (LCAT-OEG). Using quartz crystal microbalance with dissipation monitoring (QCM-D), we determine the affinity constant, KD, of the methylene blue Affimer to be comparable to that of antibodies. Further, we demonstrate the high selectivity of Affimers for its target in complex matrixes, here a limnetic sample. Finally, we demonstrate an Affimer-based competition assay, illustrating the potential of Affimers as bioreceptors in immunoassays for the detection of small-sized, nonimmunogenic compounds.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article