Phenomenological description of the thermal reduction kinetics in graphene oxide films

石墨烯 氧化物 活化能 差示扫描量热法 动能 材料科学 动力学 热的 纳米技术 化学 化学物理 热力学 物理化学 物理 量子力学 冶金
作者
Hamdane Akbi,Ahmed Mekki,Souleymen Rafai,Sabri Touidjine,Nourhane Boudina,Z. Sayeh
出处
期刊:Materials Chemistry and Physics [Elsevier]
卷期号:277: 125477-125477 被引量:4
标识
DOI:10.1016/j.matchemphys.2021.125477
摘要

This study introduces a straightforward and cost-effective route to elaborate a thermally reduced graphene oxide film (R-GOF) at 350 °C under ambient atmosphere, followed by the investigation of the kinetic triplet of the related thermal reduction mechanism by a model-free approach. The structural, the morphological, and the electrical properties of the as-prepared films are scrutinized via a series of characterization techniques. The results demonstrate the successful reduction of the graphene oxide film (GOF), leading to a prominent electrical conductivity (3275 S m −1 ). Moreover, a model-free approach is applied to a differential scanning calorimetry (DSC) data to evaluate the kinetic triplet of the reduction mechanism. The activation energy ( E a ) is assessed according to the most accurate isoconversional methods including Friedman (FRI), Vyazovkin (VYA), convincingly suggesting that the thermal reduction process of GOF can be treated as a one step process, giving values of 88 ± 8 and 79 ± 6 kJ mol −1 , respectively. The pre-exponential factor and the kinetic model of the reaction are determined by the combination of isoconversional model with a compensation effect. Conclusively, the estimated activation energy values indicate that the graphene oxide structure, morphology and reduction conditions are the main factors to be considered when modeling and predicting its thermal reduction mechanism. - Graphene oxide nonisothermal reduction was successfully achieved at 350 °C under ambient conditions - Highly electrical conductive R-GO film was obtained - Assessment of kinetic triplet of thermal reduction mechanism by model-free approach - Graphene oxide quality, morphology and reduction conditions rules the modeling of thermal reduction mechanism
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