New review maps combustion kinetics for biomass-derived oxygenated fuels
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 13:16 ET (29-Oct-2026 17:16 GMT/UTC)
Looking for cleaner, low-carbon fuel alternatives? A new review in Engineering breaks through the complex combustion chemistry of biomass-derived oxygenated fuels. It reveals how molecular structures shape burning behaviors, summarizes key reaction patterns of five major fuel types, and points out clear research paths for more accurate kinetic models. This article offers accessible insights for anyone interested in renewable energy and sustainable combustion development.
Ionic liquid-based localized high-concentration electrolytes (IL-based LHCEs), derived from non-solvating diluents and ionic liquid electrolytes (ILEs), are promising candidates for long-life and safe lithium metal batteries (LMBs). However, conventional understanding holds that diluents merely reduce electrolyte viscosity and enhance ionic conductivity at the macroscopic level, overlooking their influence on the solvation structure at the molecular scale. Herein, we propose an anion–diluent decoupled solvation structure that is more conducive to stable cycling of high-voltage LMBs. Specifically, diluents with weak interactions toward FSI− anions effectively promote coordination between FSI− anions and Li+, leading to a solvation structure dominated by contact ion pairs (CIPs). The small anionic clusters within CIPs in IL-based LHCEs further facilitate Li+ ion transport. Moreover, compared to aggregate (AGG)-dominated solvation structures rich in anions and electrons, the CIPs exhibit superior oxidation resistance, contributing to the formation of a thin and compact cathode electrolyte interphase (CEI). As a proof, an IL-based LHCE incorporating 1,1,2,2-tetrafluoroethyl methyl ether (TFE) as the diluent (TFE-LHCE) was developed. A Li||TFE-LHCE||NCM523 (LiNi0.5Mn0.3Co0.2O2) cell cycled at 4.3 V achieves a capacity retention of 70% after 600 cycles, while a Li||NCM811 (LiNi0.8Mn0.1Co0.1O2) cell at 4.5 V retains 88% capacity after 200 cycles. Furthermore, a 2.6 Ah Li||NCM83 (LiNi0.83Mn0.1Co0.07O2) pouch cell demonstrates stable cycling over 40 cycles and successfully passes a nail penetration safety test. This work elucidates the critical mechanism by which nonsolvating diluents reconstruct the Li+ ion solvation structure, establishing a theoretical foundation for the rational screening and design of highperformance electrolyte diluents.
As renewable energy like wind and solar booms, coal-fired power plants are taking on a new flexible role. A new review in Engineering explores how intelligent perception, control, and operation technologies are upgrading these plants. It details real-world applications such as flywheel energy storage and unmanned operation, showing practical ways to boost flexibility, efficiency, and reliability while supporting a low-carbon energy transition.
Cement production accounts for 5%–8% of global CO₂ emissions, and carbonation has long been seen as a natural way to offset these outputs. However, a new study in Engineering finds this approach is deeply flawed: slow, decades-long absorption delays benefits by 30%–60%, and more than half of related projects fail to deliver real emission cuts. The research urges shifting to proven, immediate decarbonization methods instead.
Looking for a practical low-carbon fuel for the global energy shift? A new study in Engineering shares the latest progress in ammonia-fueled power generation. Researchers have tested 100% ammonia gas turbines and 20% ammonia–coal co-firing in large-scale power plants, showing stable performance and controlled emissions. Ammonia proves to be an efficient hydrogen carrier, bringing reliable, decarbonized power solutions closer to real-world use.
Lanthanide-doped nanoparticles exhibit exceptional photon conversion capabilities and photostability, making them promising tools for biomedical imaging, sensing, and theranostics. A new review published in PhotoniX Life summarizes recent advances in their synthesis, optical engineering, and potential clinical applications, while addressing challenges in biosafety and regulatory approval.
Zhejiang University researchers introduce a universal 'best-matched absorption' criterion to select optimal near-infrared (NIR) imaging windows for fluorescence wide-field microscopy. This work solves the critical gap of scattered light background in high numerical aperture (NA) systems, clarifies how system NA, imaging depth and probe brightness shift the optimal window, and offers tailored strategies for complex in vivo imaging scenarios, greatly improving image contrast and penetration for biomedical research and clinical applications.
A review accepted by PhotoniX Life examines how deep learning is transforming cell segmentation in live-cell microscopy. The article traces the field from thresholding and watershed algorithms to U-Net, Mask R-CNN, StarDist, Cellpose, Mesmer, transformer-based models, and emerging generalist segmentation frameworks. It highlights why segmentation is central to quantitative cell biology, where current models succeed, and what remains difficult, including cross-modality generalization, 3D volumetric data, annotation scarcity, user-friendly deployment, and organelle-level analysis.