Multiscale Self-Assembly of Distinctive Weblike Structures from Evaporated Drops of Dilute American Whiskeys.

Autor: Carrithers AD; Department of Mechanical Engineering, University of Louisville, Louisville, Kentucky 40292, United States., Brown MJ 6th; Department of Mechanical Engineering, University of Louisville, Louisville, Kentucky 40292, United States., Rashed MZ; Department of Mechanical Engineering, University of Louisville, Louisville, Kentucky 40292, United States., Islam S; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States., Velev OD; Department of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States., Williams SJ; Department of Mechanical Engineering, University of Louisville, Louisville, Kentucky 40292, United States.
Jazyk: angličtina
Zdroj: ACS nano [ACS Nano] 2020 May 26; Vol. 14 (5), pp. 5417-5425. Date of Electronic Publication: 2020 Mar 25.
DOI: 10.1021/acsnano.9b08984
Abstrakt: When a sessile droplet of a complex mixture evaporates, its nonvolatile components may deposit into various patterns. One such phenomena, the coffee ring effect, has been a topic of interest for several decades. Here, we identify what we believe to be a fascinating phenomenon of droplet pattern deposition for another well-known beverage-what we have termed a "whiskey web". Nanoscale agglomerates were generated in diluted American whiskeys (20-25% alcohol by volume), which later stratified as microwebs on the liquid-air interface during evaporation. The web's strandlike features result from monolayer collapse, and the resulting pattern is a function of the intrinsic molecular constituents of the whiskey. Data suggest that, for our conditions (diluted 1.0 μL drops evaporated on cleaned glass substrates), whiskey webs were unique to diluted American whiskey; however, similar structures were generated with other whiskeys under different conditions. Further, each product forms their own distinct pattern, demonstrating that this phenomenon could be used for sample analysis and counterfeit identification.
Databáze: MEDLINE