Singh Manoj, Gautam Amish Kumar, Faraz Mohd, Khare Neeraj
Department of Physics, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India.
Nanotechnology. 2024 Sep 25;35(49). doi: 10.1088/1361-6528/ad7b3e.
The present study outlines the preparation of a ternary nanocomposite film comprising of polyaniline doped with camphor sulfonic acid (PANI), reduced graphene oxide (rGO), and graphitic carbon nitride (g-CN), and delves into its thermoelectric performance. PANI is known to possess high electrical conductivity () and poor thermal conductivity (). However, its potential for thermoelectric applications is constrained by the low value of the Seebeck coefficient (). The incorporation of g-CNin PANI has been demonstrated to result in an improvement of the Seebeck coefficient. Furthermore, the addition of rGO to the PANI/g-CNsample counteracts the decrease in electrical conductivity. The PANI/g-CN/rGO ternary nanocomposite film exhibits an enhanced Seebeck coefficient of ∼2.2 times when compared to the PANI sample. The Seebeck coefficient of the PANI/g-CN/rGO nanocomposite is enhanced by the energy filtering effect that occurs at the interfaces between g-CN/PANI and PANI/rGO. The-interaction between the PANI chains and rGO is responsible for the increased electrical conductivity resulting from the well-ordered polymer chain arrangement on the g-CNand rGO surfaces. The ternary nanocomposite sample demonstrated a synergistic improvement in both electrical conductivity and Seebeck coefficient, resulting in a remarkable ∼4.6-fold increment in power factor and an ∼4.3-fold enhancement in the figure of merit (), as compared to the pristine PANI film.
本研究概述了一种三元纳米复合薄膜的制备方法,该薄膜由樟脑磺酸掺杂的聚苯胺(PANI)、还原氧化石墨烯(rGO)和石墨相氮化碳(g-CN)组成,并深入研究了其热电性能。已知聚苯胺具有高电导率()和低导热率()。然而,其热电应用潜力受到塞贝克系数()值较低的限制。已证明在聚苯胺中掺入g-CN可提高塞贝克系数。此外,向聚苯胺/g-CN样品中添加rGO可抵消电导率的下降。与聚苯胺样品相比,聚苯胺/g-CN/rGO三元纳米复合薄膜的塞贝克系数提高了约2.2倍。聚苯胺/g-CN/rGO纳米复合材料的塞贝克系数通过g-CN/PANI和PANI/rGO界面处发生的能量过滤效应得到增强。聚苯胺链与rGO之间的相互作用导致了g-CN和rGO表面上聚合物链排列有序,从而提高了电导率。与原始聚苯胺薄膜相比,三元纳米复合样品在电导率和塞贝克系数方面都有协同提高,功率因数显著提高了约4.6倍,优值()提高了约4.3倍。