Soft Interferometric Nanostrain Sensor Reveals Solid‐Liquid Interfacial Tension Oscillation Amplified by Competitive Adsorption
Source abstract
Abstract
Abstract Understanding the adsorption of protein mixtures is significant for engineering biosurface functionalities that affect biomaterial hemocompatibility and infections over medical instruments. However, existing methods cannot detect real‐time competitive adsorption events or require fluorophore labelling that may alter the adsorption characteristics. An interferometric nanostrain sensor has been developed to investigate real‐time adsorption of unlabeled proteins. The sensor exploits the elastocapillary effect on the substrate nanometer deformation by a sessile protein drop to measure instantaneous interfacial tensions at its three‐phase contact line. Using fetal bovine serum (FBS), it is shown that asymptotically, the solid‐liquid interfacial tension (γ SL ) decreases with increasing FBS concentrations, and the solid‐vapor tension (γ SV ) remains uncorrelated. Results link molecular adsorption events with macroscale surface energy. Dynamically, γ SL shows Langmuir adsorption characteristics on a coarse timescale. With the sensor's high spatiotemporal resolutions (2.38 nm or <0.25 mN m −1 ), it is reported for the first time a high‐frequency, low‐amplitude oscillatory modulation of γ SL at a fine timescale over the Langmuir adsorption curve. Compared with other colloids with fewer competing elements of adsorption, this oscillation is intrinsic to any colloidal system but strongly amplified by competitive adsorption. The sensor provides a novel ensemble‐averaging technology to quantify competitive adsorption, thereby revealing new mechanisms for protein‐surface interactions.
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Research context
OpenAlex topics: Polymer Surface Interaction Studies · Advanced Biosensing Techniques and Applications · Nanomaterials and Printing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Engineering and Computer Science Texas A&M University‐Corpus Christi Corpus Christi TX 78412 USA
Funding
National Science Foundation · Cancer Prevention and Research Institute of Texas · Office of Naval Research · Army Research Office
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