Mapped AFM force spectroscopy on gels: methodological and interpretive developments
ORAL
Abstract
We present aqueous-immersion force-distance analysis on fibrin gels and polyvinyl pyrrolidone (PVP) gel-phase coatings. Initial applications were mechanical matching (fibrin to tissue) and lubricity/durability assessment (PVP). In both cases we discovered (a) a need for extensive mapping (tens or hundreds of microns) to survey spatial heterogeneities in both mechanics and topography as well as their correlations; and (b) widely ranging modulus values both among gel samples (~0.1-100 kPa) and across individual gels (one order of magnitude). On the softest PVP gel coatings colloid microprobes were used instead of sharp AFM tips to allow a shear contact (friction characterization).
In developing data analytics, we find that vendor algorithms for modulus mapping require modification (here in matlab) in order to: (1) demarcate solid body mechanics (Hertzian) from steric forces within each force curve as a function of distance, and/or treat Poissons ratio as variable with gel compression; (2) account for local surface curvature and thereby system radius of curvature (for colloid probe); (3) invoke criteria for rejecting anomalous force-distance measurements (e.g., sites of fibril adhesion) prior to compiling distribution functions of spatially surveyed modulus measurements.
In developing data analytics, we find that vendor algorithms for modulus mapping require modification (here in matlab) in order to: (1) demarcate solid body mechanics (Hertzian) from steric forces within each force curve as a function of distance, and/or treat Poissons ratio as variable with gel compression; (2) account for local surface curvature and thereby system radius of curvature (for colloid probe); (3) invoke criteria for rejecting anomalous force-distance measurements (e.g., sites of fibril adhesion) prior to compiling distribution functions of spatially surveyed modulus measurements.
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Presenters
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Maggie Zeng
Boston Scientific Corporation
Authors
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Greg Haugstad
Characterization Facility, University of Minnesota
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Guichuan Yu
University of Minnesota, Informatics Institute, University of Minnesota, School of Physics and Astronomy, University of Minnesota
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Ying Chen
Stem Cell Institute, University of Minnesota
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Gufa Lin
Stem Cell Institute, University of Minnesota
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Alon McCormick
Chemical Engineering and Materials Science, University of Minnesota
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Maggie Zeng
Boston Scientific Corporation