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Fabrication and Modification of Hydrotalcite‐Based Photocatalysts and Their Composites for CO 2 Reduction: A Critical Review
Author(s) -
Ur Rehman Munir,
Yin Rong,
Yang ZhaoDi,
Zhang Guiling,
Liu Yang,
Zhang FengMing,
Yu Cancan,
Muhammad Sheraz
Publication year - 2025
Publication title -
chemsuschem
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.412
H-Index - 157
eISSN - 1864-564X
pISSN - 1864-5631
DOI - 10.1002/cssc.202402333
Subject(s) - hydrotalcite , layered double hydroxides , photocatalysis , materials science , adsorption , cationic polymerization , sorption , desorption , catalysis , nanotechnology , ion exchange , chemical engineering , chemistry , ion , organic chemistry , polymer chemistry , engineering
Abstract Layered double hydroxides (LDHs), which resemble hydrotalcite, are a type of materials with cationic layers and exchangeable interlayer anions. They have drawn lots of curiosity as a high‐temperature CO 2 adsorbent because of its quick desorption/sorption kinetics and renewability. Due to its extensive divalent or trivalent cationic metals, high anion exchange property, memory effect, adjustable behavior, bio‐friendliness, easy to prepare and relatively low cost, the LDHs‐based materials are becoming increasingly popular for photocatalytic CO 2 reduction reaction (CO 2 RR). Fabrication and modification are good ways to move forward the advancement of LDHs‐based catalysts, which will help chemistry and materials science make great progress. In this review we discussed structural characteristics and the methods for preparation and modification of LDHs‐based photocatalysts. We also highlighted and discussed the major developments and applications in photocatalytic CO 2 RR as well as the photocatalytic mechanism. The goal of the present review is to give a broad summary of the various LDHs‐based photocatalysts and the corresponding design strategies, which could motivate more excellent research works to explore this kind of CO 2 RR photocatalysts to further increase CO 2 conversion yield and selectivity.

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