The bionic sunflower: a bio-inspired autonomous light tracking photocatalytic system

Qin, Jingjing, Chu, Kaibin, Huang, Yunpeng , Zhu, Xiangmiao, Hofkens, Johan, He, Guanjie, Parkin, Ivan P., Lai, Feili and Liu, Tianxi (2021) The bionic sunflower: a bio-inspired autonomous light tracking photocatalytic system. Energy & Environmental Science, 14 (7). pp. 3931-3937. ISSN 1754-5692

Full content URL: https://doi.org/10.1039/D1EE00587A

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The bionic sunflower: a bio-inspired autonomous light tracking photocatalytic system
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Abstract

Developing a self-adapting photocatalytic system that efficiently captures light all day is not only a dream but also a challenge. Here, we report a ‘bionic sunflower’ based on a light-responsive smart hydrogel, which can spontaneously track and orient itself directionally to a light source, mimicking phototropism in, e.g., plants. As a novel photocatalytic system, it can efficiently recover the oblique-incidence energy-density loss and maintain photocatalytic efficiency at the maximum level at any random incidence angle from 0 to 90°. By taking the photocatalysis of H2O2 generation as an example, the bionic sunflower displays a high H2O2 yield rate of 262.1 μmol g−1 h−1 under 90° irradiation, as compared with the same photocatalytic system without phototropism (83.5 μmol g−1 h−1). Theoretical analyses with COMSOL Multiphysics simulation and density functional theory (DFT) calculations reveal the mechanism behind the actuation motion that triggers the bending of the bionic sunflower and determine the active sites for H2O2 generation during photocatalysis. This work proposes a novel photocatalytic concept to boost any traditional photocatalytic reaction by optimally using the solar energy from the sun's passage.

Keywords:light-responsive smart hydrogel, phototropism, photocatalysis
Subjects:F Physical Sciences > F200 Materials Science
Divisions:College of Science > School of Chemistry
ID Code:46109
Deposited On:25 Aug 2021 09:12

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