Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 119, Issue 43, Pages -Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.2211042119
Keywords
sensors; amphiphiles; wettability; self-assembly; lubricated surfaces
Categories
Funding
- NSF through the Harvard University Materials Research Science and Engineering Center [DMR- 2011754]
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This study presents a design principle using self-assembled monolayer-functionalized microstructured surfaces coated with silicone oil to achieve naked-eye, ultrasensitive detection of amphiphiles by changing the sliding angles of droplets. These surfaces can be used to detect amphiphiles and separate aqueous droplets based on their concentrations.
Various forms of ecological monitoring and disease diagnosis rely upon the detection of amphiphiles, including lipids, lipopolysaccharides, and lipoproteins, at ultralow concen-trations in small droplets. Although assays based on droplets' wettability provide prom-ising options in some cases, their reliance on the measurements of surface and bulk properties of whole droplets (e.g., contact angles, surface tensions) makes it difficult to monitor trace amounts of these amphiphiles within small-volume samples. Here, we report a design principle in which self-assembled monolayer-functionalized microstruc-tured surfaces coated with silicone oil create locally disordered regions within a droplet's contact lines to effectively concentrate amphiphiles within the areas that dominate the droplet static friction. Remarkably, such surfaces enable the ultrasensitive, naked-eye detection of amphiphiles through changes in the droplets' sliding angles, even when the concentration is four to five orders of magnitude below their critical micelle concentra-tion. We develop a thermodynamic model to explain the partitioning of amphiphiles at the contact line by their cooperative association within the disordered, loosely packed regions of the self-assembled monolayer. Based on this local analyte concentrating effect, we showcase laboratory-on-a-chip surfaces with positionally dependent pinning forces capable of both detecting industrially and biologically relevant amphiphiles (e.g., bacterial endotoxins), as well as sorting aqueous droplets into discrete groups based on their amphiphile concentrations. Furthermore, we demonstrate that the sliding behav-ior of amphiphile-laden aqueous droplets provides insight into the amphiphile's effec-tive length, thereby allowing these surfaces to discriminate between analytes with highly disparate molecular sizes.
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