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Solvothermal synthesis of carbonate-type layered double hydroxide monolayer nanosheets: Solvent selection based on characteristic parameter matching criterion

机译:碳酸酯型层状双氢氧化物单层纳米液的溶剂热合成:基于特征参数匹配标准的溶剂选择

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摘要

Monolayer nanosheets of CO32--type layered double hydroxides (LDHs) have many special applications, but their fabrication is challenging. Herein, Co2Al-CO3 and Co2Fe-CO3 LDH nanosheets were synthesized via a solvothermal method. 31 solvents with different characteristic parameters, including the surface free energy (gamma) and solubility (delta) parameters were chosen, to explore the correlation between the formation of monolayer LDHs (ML-LDHs) and the characteristic parameters of solvents. The results reveal that when the solvents used have the characteristic parameters matching to those of the LDHs, CO32--type ML-LDHs with a thickness of ca. 1 nm can be obtained. The mixed-solvent strategy can provide the effective solvents for the synthesis of ML-LDHs. The dispersions of CO32--type ML-LDHs can be stable for at least six months without obvious precipitation. In addition, it is demonstrated that the delta parameters of LDHs can be calculated from the gamma parameters via the molar volume-free gamma-delta equations developed previously. Furthermore, a new parameter called "surface free energy distance" is introduced, which can be used for screening effective solvents for the synthesis of ML-LDHs. To the best of our knowledge, this is the first time to investigate the applicable of the characteristic parameter matching principle for the bottom-up synthesis of ML-LDHs. This work deepens the understanding on the feature of CO32--type LDHs and provides a solvent selection strategy for the synthesis of CO32--type ML-LDHs. (c) 2020 Elsevier Inc. All rights reserved.
机译:CO32型层状双氢氧化物(LDH)的单层纳米片有许多特殊的应用,但其制备具有挑战性。在此,通过溶剂热法合成了Co2Al-CO3和Co2Fe-CO3 LDH纳米片。选择31种具有不同特征参数的溶剂,包括表面自由能(γ)和溶解度(δ)参数,探讨单层LDH(ML LDH)的形成与溶剂特征参数之间的相关性。结果表明,当所用溶剂的特征参数与LDHs的特征参数相匹配时,可以得到厚度约为1nm的CO32-型ML LDHs。混合溶剂策略可以为ML-LDHs的合成提供有效的溶剂。CO32型ML LDHs的分散体可稳定至少六个月,无明显沉淀。此外,还证明了LDH的δ参数可以通过先前发展的无摩尔体积γδ方程从γ参数计算。此外,还引入了一个新的参数“表面自由能距离”,该参数可用于筛选合成ML-LDHs的有效溶剂。据我们所知,这是首次研究特征参数匹配原理在自下而上合成ML-LDH中的应用。这项工作加深了对CO32-型LDHs特性的理解,并为CO32-型ML LDHs的合成提供了溶剂选择策略。(c) 2020爱思唯尔公司版权所有。

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