Fused tetracyclic tris[1,2,4]triazolo[1,3,5]triazine as a novel rigid electron acceptor for efficient thermally activated delayed fluorescence emitters

Abstract

Tris[1,2,4]triazolo[1,3,5]triazine, a new acceptor based on a fused triazole and triazine moiety, has been utilized to construct two new star-shaped TADF emitters.

Tris(triazolo)triazine-based emitters for solution-processed blue thermally activated delayed fluorescence organic light-emitting diodes

“…5) The UV-vis absorption spectrum in DCM (Fig. S23, ESI ‡) for 3DMAC-TTT coincides with the one measured by Pathak et al 45 Both molecules present a low intensity, low energy absorption band around 370 nm that is assigned to an ICT transition from the donor groups to the TTT acceptor. The band at 290 nm is a p-p* locally excited (LE) transition of the DMAC donor.…”

“…8c and d). The latter result is slightly higher compared to that measured by Pathak et al 45 (DE ST = 0.20 eV) in the same host matrix. Here, we inserted the PVK layer to prevent electron leakage from the emitter layer into PEDOT:PSS layer and to confine triplet exciton within the emitter layer.…”

“…8a). After investigation at longer time-windows compared to the reference paper, 45 we found that the two emitters present delayed fluorescence with lifetimes of the order of milliseconds, which is the result of suppression of non-radiative decay in the film, compared to solution and is reflective also in the enhanced photoluminescence quantum yield in the film. Temperaturedependent time-resolved decay curves (Fig.…”

“…2). 45 These emitters possess moderate photoluminescence quantum yields (F PL ) of 39.5% and 21.4%, respectively, accompanied by short delayed fluorescence lifetimes of 4.2 ms and 4.6 ms, respectively. The emission of TTT-PXZ is expectedly considerably red-shifted given the stronger donor employed, with a l PL of 522 nm compared to 468 nm for TTT-DMAC.…”

Swine gut microbiota and its interaction with host nutrient metabolism

“…In recent decades, the maturity of high-throughput sequencing and multi-omics techniques has greatly expanded our knowledge of microbial communities in a complex environment and has made it possible to clarify the interactions between gut microbiota and host metabolism homeostasis. The gut microbiota regulates the metabolism of glucolipids ( Yin et al., 2018 ), amino acids ( Kawase et al., 2017 ; Zhang et al., 2020 ), vitamins ( Caesar, 2019 ), bile acids ( Ramírez-Pérez et al., 2018 ), and other nutrients ( Pathak et al., 2020 ) through the microbiota–gut–brain axis ( Carabotti et al., 2015 ). Conversely, the dysbiosis of gut microbiota leads to metabolic diseases, such as obesity, cardiovascular disease (hyperlipidemia, atherosclerosis and hypertension), insulin resistance, type 2 diabetes, gout, and hyperuricemia ( Fan et al., 2018 ; Liu et al., 2020 ; Mandal and Mount, 2015 ; Mendes-Soares et al., 2019 ; Novoseletskyi, 2013 ).…”