Converting greenhouse gases into valuable products has become a promising approach for achieving a carbon-neutral economy and sustainable development. However, the conversion efficiency depends on the energy yield of the substrate. In this study, we developed an electro-biocatalytic system by integrating electrochemical and microbial processes to upcycle CO into a valuable product (ectoine) using renewable energy. This system initiates the electrocatalytic reduction of CO to methane, an energy-dense molecule, which then serves as an electrofuel to energize the growth of an engineered methanotrophic cell factory for ectoine biosynthesis. The scalability of this system was demonstrated using an array of ten 25 cm electrochemical cells equipped with a high-performance carbon-supported isolated copper catalyst. The system consistently generated methane at the cathode under a total partial current of approximately -37 A (~175 mmol h) and O at the anode under a total partial current of approximately 62 A (~583 mmol h). This output met the requirements of a 3-L bioreactor, even at maximum CH and O consumption, resulting in the high-yield conversion of CO to ectoine (1146.9 mg L). This work underscores the potential of electrifying the biosynthesis of valuable products from CO, providing a sustainable avenue for biomanufacturing and energy storage.
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Sci Rep
January 2025
Institute of Crop Science and Resource Conservation, University of Bonn, Katzenburgweg 5, D-53115, Bonn, Germany.
Climate change significantly challenges smallholder mixed crop-livestock (MCL) systems in sub-Saharan Africa (SSA), affecting food and feed production. This study enhances the SIMPLACE modeling framework by incorporating crop-vegetation-livestock models, which contribute to the development of sustainable agricultural practices in response to climate change. Applying such a framework in a domain in West Africa (786,500 km) allowed us to estimate the changes in crop (Maize, Millet, and Sorghum) yield, grass biomass, livestock numbers, and greenhouse gas emission in response to future climate scenarios.
View Article and Find Full Text PDFSci Data
January 2025
Department of Economics, Vienna University of Economics and Business (WU), Vienna, Austria.
The quantitative assessment of policies aimed at climate change mitigation requires rigorously identifying abnormal changes in greenhouse gas emissions. We present a new dataset of robust level changes in greenhouse gas emissions that cannot be explained by aggregate socioeconomic fluctuations. Modern methods of structural break identification based on two-way fixed effects models are employed to estimate the size of significant level changes in emissions.
View Article and Find Full Text PDFSci Total Environ
January 2025
CATIE, Centro Agronómico Tropical de Investigación y Enseñanza, Turrialba 30501, Costa Rica.
Agricultural systems are both emitters of greenhouse gases and have the potential to sequester carbon, especially agroforestry systems. Coffee agroforestry systems offer a wide range of intensities of use of agricultural inputs and densities and management of shade trees. We assessed the agronomic carbon footprint (up to farm gate) and modelled the carbon sequestration of a range of coffee agroforestry systems across 180 farms in Costa Rica and Guatemala.
View Article and Find Full Text PDFScience
January 2025
Center for Global Sustainability, University of Maryland, College Park, MD, USA.
Emissions reductions may be met with relatively small costs.
View Article and Find Full Text PDFJMIR Perioper Med
January 2025
Stanford Hospital, Stanford, CA, United States.
Background: Inhalational anesthetic agents are a major source of potent greenhouse gases in the medical sector, and reducing their emissions is a readily addressable goal. Nitrous oxide (NO) has a long environmental half-life relative to carbon dioxide combined with a low clinical potency, leading to relatively large amounts of NO being stored in cryogenic tanks and H cylinders for use, increasing the chance of pollution through leaks. Building on previous findings, Stanford Health Care's (SHC's) NO emissions were analyzed at 2 campuses and targeted for waste reduction as a precursor to system-wide reductions.
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