Abstract
It is still a great challenge to achieve high selectivity of CH
4
in CO
2
electroreduction reactions (CO
2
RR) because of the similar reduction potentials of possible products and the ...sluggish kinetics for CO
2
activation. Stabilizing key reaction intermediates by single type of active sites supported on porous conductive material is crucial to achieve high selectivity for single product such as CH
4
. Here, Cu
2
O(111) quantum dots with an average size of 3.5 nm are in situ synthesized on a porous conductive copper‐based metal–organic framework (CuHHTP), exhibiting high selectivity of 73 % towards CH
4
with partial current density of 10.8 mA cm
−2
at −1.4 V vs. RHE (reversible hydrogen electrode) in CO
2
RR. Operando infrared spectroscopy and DFT calculations reveal that the key intermediates (such as *CH
2
O and *OCH
3
) involved in the pathway of CH
4
formation are stabilized by the single active Cu
2
O(111) and hydrogen bonding, thus generating CH
4
instead of CO.
It is still a great challenge to achieve high selectivity of CH4 in CO2 electroreduction reactions (CO2RR) because of the similar reduction potentials of possible products and the sluggish kinetics ...for CO2 activation. Stabilizing key reaction intermediates by single type of active sites supported on porous conductive material is crucial to achieve high selectivity for single product such as CH4. Here, Cu2O(111) quantum dots with an average size of 3.5 nm are in situ synthesized on a porous conductive copper‐based metal–organic framework (CuHHTP), exhibiting high selectivity of 73 % towards CH4 with partial current density of 10.8 mA cm−2 at −1.4 V vs. RHE (reversible hydrogen electrode) in CO2RR. Operando infrared spectroscopy and DFT calculations reveal that the key intermediates (such as *CH2O and *OCH3) involved in the pathway of CH4 formation are stabilized by the single active Cu2O(111) and hydrogen bonding, thus generating CH4 instead of CO.
Cu2O(111) single‐type sites on a conductive metal–organic framework are successfully prepared by an in situ electrochemical method. The cooperative effect between the single active Cu2O(111) and hydrogen bonding contributes to the high selectivity of 73 % towards CH4 with large current density in CO2 electroreduction reduction for the obtained Cu2O(111)@CuHHTP.
CO2‐Reduktion In situ erzeugte Cu2O‐Zentren auf einer leitfähigen Metall‐organischen Gerüststruktur ermöglichen eine hoch selektive CO2‐Elektroreduktion zu CH4, wie G.‐L. Chai, Y.‐B. Huang, R. Cao et ...al. in ihrem Forschungsartikel auf S. 23849 beschreiben.
The electrocatalytic conversion of CO2 into value‐added chemicals is a promising approach to realize a carbon‐energy balance. However, low current density still limits the application of the CO2 ...electroreduction reaction (CO2RR). Metal–organic frameworks (MOFs) are one class of promising alternatives for the CO2RR due to their periodically arranged isolated metal active sites. However, the poor conductivity of traditional MOFs usually results in a low current density in CO2RR. We have prepared conductive two‐dimensional (2D) phthalocyanine‐based MOF (NiPc‐NiO4) nanosheets linked by nickel‐catecholate, which can be employed as highly efficient electrocatalysts for the CO2RR to CO. The obtained NiPc‐NiO4 has a good conductivity and exhibited a very high selectivity of 98.4 % toward CO production and a large CO partial current density of 34.5 mA cm−2, outperforming the reported MOF catalysts. This work highlights the potential of conductive crystalline frameworks in electrocatalysis.
Nickel phthalocyanine molecules as active sites were installed into nickel‐catecholate‐linked 2D conductive metal–organic framework nanosheets for efficient CO2 electroreduction with nearly 100 % CO selectivity.
This study investigates the potential of agricultural industrial agglomeration to bolster agricultural economic resilience and identifies the underlying pathways. We developed an analytical framework ...for agricultural economics that integrates the concept of “resilience”. This framework facilitates an examination of the influence of agricultural industrial agglomeration on agricultural economic resilience, focusing on two key aspects: enhancement of income and reduction of costs. Utilizing panel data from 30 provincial-level regions in China covering the period from 2006 to 2021, this research empirically assesses the impact, underlying mechanisms, and regional variations of agricultural industrial agglomeration on agricultural economic resilience. The findings reveal that agricultural industrial agglomeration significantly boosts agricultural economic resilience. This positive influence manifests through two primary channels: firstly, “agricultural industrial agglomeration → enhancement of socialized services → agricultural economic resilience” and secondly, “agricultural industrial agglomeration → improvement of agricultural production efficiency → agricultural economic resilience”. The contribution of agricultural industrial agglomeration to agricultural economic resilience is particularly pronounced in major grain-producing regions, notably enhancing capabilities for reconstruction and reinvention, as well as adjustment and adaptation. The study concludes with recommendations aimed at strengthening agricultural economic resilience. These recommendations emphasize the critical role of agricultural industrial agglomeration in fostering agricultural economic resilience, its contribution to the growth of rural economies and the enhancement of socialized services, and the need to consider regional disparities in the process of developing agricultural economic resilience.
Based on the annual average climate data and economic and social data from 262 prefecture-level cities in China from 2001 to 2019, this paper explores the impact of climate change on urban–rural ...income inequality and its mechanisms using fixed-effects (FEs) and mediated-effects (MEs) models. This study finds that (1) climate change has an inverted U-shaped relationship with the urban–rural income disparity; (2) climate change can affect the urban–rural income disparity by influencing urban and rural income levels, the regional degree of urbanization, and the labor force employment structure; (3) the impact of climate change on the urban–rural income gap is heterogeneous in East, Center, and West China; and (4) extreme heat can widen the urban–rural income gap, and extreme drought can narrow the urban–rural income gap. Climate change has a significant impact on the urban–rural income gap, and there is a need to continue to promote urbanization and the optimization of the employment structure of the workforce, reduce the vulnerability of rural residents to climate change, and narrow the urban–rural income gap.
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