Novel and#928; Conjugated Microporous Polymers CMPs for Photocatalysis and Sensing

Abstract

Conjugated microporous polymers are the conjugated networks containing polymers CMPs Due to their tunable optoelectronic characteristics and potential applications the CMPs are the primary focus The electron delocalization along with excellent porosities of CMPs finds potential application in various fields of semiconducting devices gas adsorption photocatalysis chemosensing etc The wide variety of synthetic methods including condensation and coupling methodologies help CMPs to achieve the desired properties and make them available for a particular application This is made possible by the building blocks finetunability Fascinated by the intriguing properties as a part of this thesis work we designed and developed several novel CMPs using Schiffbase condensation and direct arylation polymerization methods A novel strategy has been developed by simple modification of acid catalyst acetic acid and BF3Et2O resulting in two different molecular structures comprising ketoenamine and boranil BF2salicyaldimine functional units The photocatalytic activity and optoelectronic characteristics of the CMPs were distinctive The ketoenamine CMPs had significantly lower activity 13 molgh than the boranilfucntionalized CMPs 32 molgh KetoenamineCMPs have been reacted with BF3Et2O to create a postmodification methodology in addition to the onepot synthetic approach for the boranilCMPs In comparison to ketoenamine CMPs 277 gg the boranilCMPs were found to have higher iodine adsorption efficiencies as a result of iodine interactions with the BF2units 499 gg In addition we used direct arylation polymerization DAP to create CMPs and add functional groups to the networks of CMPs The conventional methodologies are unable to create functional CMPs with significant properties and applications because of the high reactivity of some of the functional groups We present a straightforward DAP route for the synthesis of CMPs with and without aldehyde functional groups in good yields 75 The methodology bypasses the preactivation of building blocks.