Surface Engineering of Nanoparticles to Create Synthetic Antibodies

  • Linda Chio
  • Darwin Yang
  • Markita LandryEmail author
Part of the Methods in Molecular Biology book series (MIMB, volume 1575)


Surface engineering of nanoparticles has recently emerged as a promising technique for synthetic molecular recognition of biological analytes. In particular, the use of synthetic heteropolymers adsorbed onto the surface of a nanoparticle can yield selective detection of a molecular target. Synthetic molecular recognition has unique advantages in leveraging the photostability, versatility, and exceptional chemical stability of nanomaterials. In particular, single-walled carbon nanotubes (SWNT) exhibit a large Stokes shift and near infrared emission for maximum biological sample transparency. Optical biosensors with high signal transduction and molecular specificity can be synthesized with amphiphilic heteropolymers grafted to SWNT, and discovered by high-throughput screening. Herein, we describe the development and the characterization of surface-engineered nanoparticles, or “synthetic antibodies,” for protein detection.

Key words

Protein detection Sensors Carbon nanotubes DNA aptamers Infrared fluorescence microscopy Nanomaterials Synthetic antibodies 



This work was supported by Burroughs Wellcome Fund Career Award at the Scientific Interface (CASI), a Simons Foundation grant, and a Brain and Behavior Research foundation young investigator grant. D.Y. acknowledges an NSF Graduate Research Fellowship and L.C. acknowledges a LAM research fellowship. L.C. wrote the introduction, Subheadings 3.1 and 3.2. D.Y. wrote Subheadings 3.33.5. L.C. and D.Y. collaboratively wrote support commentary and edited the manuscript with guidance from M.L. We thank Roger Chang for insightful feedback on this work.


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Copyright information

© Springer Science+Business Media LLC 2017

Authors and Affiliations

  1. 1.Department of Chemical and Biomolecular EngineeringUniversity of CaliforniaBerkeleyUSA
  2. 2.Landry Lab, California Institute for Quantitative Biosciences, QB3University of CaliforniaBerkeleyUSA

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