Pub Date : 2024-02-05DOI: 10.1016/j.nanoms.2024.01.007
Zhi-Zheng Wu, Peng-Peng Yang, Min-Rui Gao
The CO2 electroreduction reaction (CO2RR) is a promising approach of using renewable electricity to synthesize fuels and value-added chemicals. At present, Cu is generally considered to be the major monometallic catalyst capable of producing multicarbon products (C2+) with high current densities from the CO2RR, but it still suffers from the low activity and high overpotential. The challenge of sluggish CO2RR kinetics can be overcome by developing efficient Cu-based catalysts, which undergo the dynamic evolution during the reaction process. The dynamic evolution of the Cu-based catalysts taking place under working conditions makes it difficult to study the structure-activity correlation and reaction mechanism present during CO2RR. Recently, a number of important works have observed and revealed the dynamic evolution process of Cu-based catalysts by operando characterization techniques. This aspect, however, remains less summarized and prospected in the CO2RR literature. In this Review, we summarize the dynamic evolution of Cu-based catalysts during the CO2RR from aspects of structure, composition and oxidation state. We highlight the correlations between evolution behaviors and catalytic properties. Then, we discuss the dynamic deactivation process of Cu-based catalysts during CO2RR, including metal impurities contamination and carbon accumulation. In particular, we introduce recent advancements in in situ characterization techniques those are employed to probe the dynamic evolution under operating conditions. We end the Review by outlining the challenges and offering personal perspectives on the future development opportunities in this field.
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Rational design of oxygen evolution reaction (OER) catalysts at low cost would greatly benefit the economy. Taking advantage of earth-abundant elements Si, Co and Ni, we produce a unique-structure where cobalt-nickel silicate hydroxide [Co2.5Ni0.5Si2O5(OH)4] is vertically grown on a reduced graphene oxide (rGO) support (CNS@rGO). This is developed as a low-cost and prospective OER catalyst. Compared to cobalt or nickel silicate hydroxide@rGO (CS@rGO and NS@rGO, respectively) nanoarrays, the bimetal CNS@rGO nanoarray exhibits impressive OER performance with an overpotential of 307 mV@10 mA cm−2. This value is higher than that of CS@rGO and NS@rGO. The CNS@rGO nanoarray has an overpotential of 446 mV@100 mA cm−2, about 1.4 times that of the commercial RuO2 electrocatalyst. The achieved OER activity is superior to the state-of-the-art metal oxides/hydroxides and their derivatives. The vertically grown nanostructure and optimized metal-support electronic interactions play an indispensable role for OER performance improvement, including a fast electron transfer pathway, short proton/electron diffusion distance, more active metal centers, as well as optimized dual-atomic electron density. Taking advantage of interlay chemical regulation and the in-situ growth method, the advanced-structural CNS@rGO nanoarrays provide a new horizon to the rational and flexible design of efficient and promising OER electrocatalysts.
合理设计低成本的析氧反应(OER)催化剂将大大提高经济效益。利用地球上丰富的元素Si, Co和Ni，我们生产了一种独特的结构，将钴镍硅酸盐氢氧化物[Co2.5Ni0.5Si2O5(OH)4]垂直生长在还原氧化石墨烯(rGO)载体上(CNS@rGO)。这是一种低成本、有前景的OER催化剂。与钴或硅酸镍hydroxide@rGO(分别为CS@rGO和NS@rGO)纳米阵列相比，双金属CNS@rGO纳米阵列表现出令人印象深刻的OER性能，过电位为307 mV@10 mA cm−2。该值高于CS@rGO和NS@rGO。CNS@rGO纳米阵列的过电位为446 mV@100 mA cm−2，约为商用RuO2电催化剂的1.4倍。所获得的OER活性优于最先进的金属氧化物/氢氧化物及其衍生物。垂直生长的纳米结构和优化的金属-支撑电子相互作用对OER性能的提高起着不可或缺的作用，包括快速的电子转移途径、更短的质子/电子扩散距离、更活跃的金属中心以及优化的双原子电子密度。利用层间化学调控和原位生长的方法，先进结构的CNS@rGO纳米阵列为合理、灵活地设计高效、有前途的OER电催化剂提供了新的视野。
{"title":"In situ confined vertical growth of Co2.5Ni0.5Si2O5(OH)4 nanoarrays on rGO for an efficient oxygen evolution reaction","authors":"Yang Mu, Xiaoyu Pei, Yunfeng Zhao, Xueying Dong, Zongkui Kou, Miao Cui, Changgong Meng, Yifu Zhang","doi":"10.1016/j.nanoms.2022.04.002","DOIUrl":"https://doi.org/10.1016/j.nanoms.2022.04.002","url":null,"abstract":"<p>Rational design of oxygen evolution reaction (OER) catalysts at low cost would greatly benefit the economy. Taking advantage of earth-abundant elements Si, Co and Ni, we produce a unique-structure where cobalt-nickel silicate hydroxide [Co<sub>2.5</sub>Ni<sub>0.5</sub>Si<sub>2</sub>O<sub>5</sub>(OH)<sub>4</sub>] is vertically grown on a reduced graphene oxide (rGO) support (CNS@rGO). This is developed as a low-cost and prospective OER catalyst. Compared to cobalt or nickel silicate hydroxide@rGO (CS@rGO and NS@rGO, respectively) nanoarrays, the bimetal CNS@rGO nanoarray exhibits impressive OER performance with an overpotential of 307 mV@10 mA cm<sup>−2</sup>. This value is higher than that of CS@rGO and NS@rGO. The CNS@rGO nanoarray has an overpotential of 446 mV@100 mA cm<sup>−2</sup>, about 1.4 times that of the commercial RuO<sub>2</sub> electrocatalyst. The achieved OER activity is superior to the state-of-the-art metal oxides/hydroxides and their derivatives. The vertically grown nanostructure and optimized metal-support electronic interactions play an indispensable role for OER performance improvement, including a fast electron transfer pathway, short proton/electron diffusion distance, more active metal centers, as well as optimized dual-atomic electron density. Taking advantage of interlay chemical regulation and the <em>in-situ</em> growth method, the advanced-structural CNS@rGO nanoarrays provide a new horizon to the rational and flexible design of efficient and promising OER electrocatalysts.</p>","PeriodicalId":501090,"journal":{"name":"Nano Materials Science","volume":"53 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138495172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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