Autonomous macroscopic signal deciphering the geometric self-sorting of pillar[n]arenes

Abstract

In this communication, we have deciphered the geometric self-sorting of pillar[n]arenes by analyzing the fluid flow pattern obtained during the self-assembly of complementary pillar[n]arenes on the surface. The concept was further extended to demonstrate flow manipulation inside a microchannel where multiple sites were available for self-sorting, and the resultant flow velocity was tuned by the feeding ratio of the complementary pairs.