After a prolonged effort over many years, the route for the formation of a direct carbon-carbon (C-C) bond during the methanol-to-hydrocarbon (MTH) process has very recently been unveiled. However, the relevance of the "direct mechanism"-derived molecules (that is, methyl acetate) during MTH, and subsequent transformation routes to the conventional hydrocarbon pool (HCP) species, are yet to be established. This important piece of the MTH chemistry puzzle is not only essential from a fundamental perspective, but is also important to maximize catalytic performance. The MTH process was probed over a commercially relevant H-SAPO-34 catalyst, using a combination of advanced solid-state NMR spectroscopy and operando UV/Vis diffuse reflectance spectroscopy coupled to an on-line mass spectrometer. Spectroscopic evidence is provided for the formation of (olefinic and aromatic) HCP species, which are indeed derived exclusively from the direct C-C bond-containing acetyl group of methyl acetate. New mechanistic insights have been obtained from the MTH process, including the identification of hydrocarbon-based co-catalytic organic reaction centers.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6563700 | PMC |
http://dx.doi.org/10.1002/anie.201803279 | DOI Listing |
Sensors (Basel)
December 2024
Department of Information Management, Tunghai University, Taichung 407224, Taiwan.
Today, huge amounts of time series data are sensed continuously by AIoT devices, transmitted to edge nodes, and to data centers. It costs a lot of energy to transmit these data, store them, and process them. Data compression technologies are commonly used to reduce the data size and thus save energy.
View Article and Find Full Text PDFChem Sci
January 2025
KAUST Catalysis Center (KCC), King Abdullah University of Science and Technology (KAUST) Thuwal 23955 Saudi Arabia
The development of sustainable aviation fuels (SAFs) is a must for the decarbonization of the aviation industry. This paper explores various pathways for SAF production, focusing on innovative catalytic processes for the utilization of CO as a potential feedstock. Key pathways analyzed include the Modified Fischer-Tropsch Synthesis (MFTS), methanol synthesis, and subsequent transformations of methanol into hydrocarbons (MTH), aromatics (MTA) and olefin oligomerization.
View Article and Find Full Text PDFFront Chem
November 2024
INFN-Laboratori Nazionali di Frascati, Frascati, Italy.
Sci Rep
November 2024
Department of Clinical Sciences, School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
This study aims to develop a Machine Learning model to assess the risks faced by COVID-19 patients in a hospital setting, focusing specifically on predicting the complications leading to Intensive Care Unit (ICU) admission or mortality, which are minority classes compared to the majority class of discharged patients. We operate within a multiclass framework comprising three distinct classes, and address the challenge of dataset imbalance, a common source of model bias. To effectively manage this, we introduce the Multi-Thresholding meta-algorithm (MTh), an innovative output-level methodology that extends traditional thresholding from binary to multiclass classification.
View Article and Find Full Text PDFDalton Trans
December 2024
Key Laboratory of Functional Materials Physics and Chemistry of the Ministry of Education, Jilin Normal University, Changchun, 130103, P. R. China.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!