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Sequential Pore Functionalization in MOFs for Enhanced Carbon Dioxide Capture.
JACS Au
December 2024
Materials Discovery Laboratory (MaD Lab), Department of Chemistry, Oregon State University, Corvallis, Oregon 97331, United States.
The capture of carbon dioxide (CO) is crucial for reducing greenhouse emissions and achieving net-zero emission goals. Metal-organic frameworks (MOFs) present a promising solution for carbon capture due to their structural adaptability, tunability, porosity, and pore modification. In this research, we explored the use of a copper (Cu(II))-based MOF called .
View Article and Find Full Text PDFSynergy of Copper Doping and Carbon Defect Engineering in Promoting C-C Coupling for Enhanced CO Photoreduction to Ethanol Activity.
ACS Appl Mater Interfaces
December 2024
Key Laboratory of Industrial Ecology and Environment Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, PR China.
Photocatalytic conversion of carbon dioxide (CO) to fuel provides an ideal pathway to achieving carbon neutrality. One significant hindrance in achieving the reduction of CO to higher energy density multicarbon products (C) was the difficulty in coupling C-C bonds efficiently. Copper (Cu) is considered the most suitable metal catalyst for C-C coupling to form C products in the CO reduction reaction (CORR), but it encounters challenges such as low product selectivity and slow catalytic efficiency.
View Article and Find Full Text PDFWhen microplastics meet microalgae: Unveiling the dynamic formation of aggregates and their impact on toxicity and environmental health.
Water Res
December 2024
Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, Hainan University, Haikou 570228, China; School of Environmental Science and Engineering, Hainan University, Haikou 570228, China; College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
Microplastics (MPs) commonly coexist with microalgae in aquatic environments, can heteroaggregate during their interaction, and potentially affect the migration and impacts of MPs in aquatic environments. The hetero-aggregation may also influence the fate of other pollutants through MPs' adsorption or alter their aquatic toxicity. Here, we explored the hetero-aggregation process and its key driving mechanism that occurred between green microalga Chlorella vulgaris (with a cell size of 2-10 μm) and two types of MPs (polystyrene and polylactide, 613 μm).
View Article and Find Full Text PDFPreservative effects and mechanism of condensed tannins from Cercis chinensis Bunge leaves on fresh-cut lotus root.
J Food Sci
December 2024
School of Life Science and Engineering, Henan University of Urban Construction, Pingdingshan, China.
This study aimed to investigate the potential of condensed tannins isolated from Cercis chinensis Bunge leaves as natural preservatives for fruits and vegetables. The research demonstrated that C. chinensis leaves condensed tannins (CLCT) significantly delay the browning process and reduce nutritional loss in fresh-cut lotus roots.
View Article and Find Full Text PDFMachine Learning Boosted Entropy-Engineered Synthesis of CuCo Nanometric Solid Solution Alloys for Near-100% Nitrate-to-Ammonia Selectivity.
ACS Appl Mater Interfaces
December 2024
Key Laboratory of Synthetic and Biological Colloids, Ministry of Education, School of Chemical and Material Engineering, Jiangnan University, 214122 Jiangsu, China.
Nanometric solid solution alloys are utilized in a broad range of fields, including catalysis, energy storage, medical application, and sensor technology. Unfortunately, the synthesis of these alloys becomes increasingly challenging as the disparity between the metal elements grows, due to differences in atomic sizes, melting points, and chemical affinities. This study utilized a data-driven approach incorporating sample balancing enhancement techniques and multilayer perceptron (MLP) algorithms to improve the model's ability to handle imbalanced data, significantly boosting the efficiency of experimental parameter optimization.
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