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Single-Molecule Force Spectroscopy of DNA-Based Reversible Polymer Bridges: Surface Robustness and Homogeneity
Authors:Serpe Michael J  Whitehead Jason R  Rivera Monica  Clark Robert L  Craig Stephen L
Affiliation:aDepartment of Chemistry, Duke University, Durham, NC 27708-0346, United States;bDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708-0346, United States;cCenter for Biologically Inspired Materials and Material Systems, Duke University, Durham, NC 27708-0346, United States;dThe School of Engineering and Applied Sciences, University of Rochester, Rochester, NY 14627, United States
Abstract:Single-molecule force spectroscopy, as implemented in an atomic force microscope, provides a rarely used method by which to monitor dynamic processes that occur near surfaces. Here, a methodology is presented and characterized that facilitates the study of polymer bridging across nanometer-sized gaps. The model system employed is that of DNA-based reversible polymers, and an automated procedure is introduced that allows the AFM tip–surface contact point to be automatically determined, and the distance d between opposing surfaces to be actively controlled. Using this methodology, the importance of several experimental parameters was systematically studied, e.g. the frequency of repeated tip/surface contacts, the area of the substrate surface sampled by the AFM, and the use of multiple AFM tips and substrates. Experiments revealed the surfaces to be robust throughout pulling experiments, so that multiple touches and pulls could be carried out on a single spot with no measurable affect on the results. Differences in observed bridging probabilities were observed, both on different spots on the same surface and, more dramatically, from one day to another. Data normalization via a reference measurement allows data from multiple days to be directly compared.
Keywords:Single-molecule force spectroscopy   Reversible polymer   Atomic force microscope   DNA   Supramolecular polymer   Bridging probability
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