Results 131 to 140 of about 45,524 (260)

Discovery of Suomilide and Cyanopeptolin Analogues by ¹⁵N Stable Isotope Labeling and Genome Mining of Cyanobacteria. [PDF]

J Nat Prod
Chauvin IM, Davis LJ, Krunic A, Orjala J.   +3 more
europepmc   +1 more source

Tracking the Metabolic Fate of Exogenous Arachidonic Acid in Ferroptosis Using Dual-Isotope Labeling Lipidomics. [PDF]

J Am Soc Mass Spectrom, 2023
Reimers N, Do Q, Zhang R, Guo A, Ostrander R, Shoji A, Vuong C, Xu L.   +7 more
europepmc   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

Scaling up the production of fungal perylenequinones and investigating their biosynthesis through stable isotope labeling. [PDF]

Microb Cell Fact
Al-Qiam RA, Dumbare S, Graf TN, Vidar WS, Raja HA, Pearce CJ, Hematian S, Oberlies NH.   +7 more
europepmc   +1 more source

Isotope Labeling Mass Spectrometry to Quantify Endogenous and Exogenous DNA Adducts and Metabolites of 1,3-Butadiene In Vivo. [PDF]

Chem Res Toxicol, 2023
Jokipii Krueger CC, Moran E, Tessier KM, Tretyakova NY.   +3 more
europepmc   +1 more source

A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation

Advanced Energy Materials, EarlyView.
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou, Cinthya Herrera, Duncan Atkins, Elixabete Ayerbe, Giorgio Baraldi, Stéphanie Belin, Anass Benayad, Didier Blanchard, Federico Capone, Ennio Capria, Isidora Cekic‐Laskovic, Robert Dominko, Kristina Edström, Ajay Gautam, Lukas Helfen, Antonella Iadecola, Quentin Jacquet, Gregor Kapun, Xinyu Li, Aleksandar Matic, Nataliia Mozhzhukhina, Andrew J. Naylor, Poul Norby, Chris O'Keefe, Alexandre Ponrouch, Jean‐Pascal Rueff, Elena Tchernykova, Deyana Tchitchekova, Israel Temprano, Nikita Vostrov, Marnix Wagemaker, Martin Winter, Christian Wölke, Tejs Vegge, Sandrine Lyonnard   +34 more
wiley   +1 more source

A Comparative Metabolomics Study of Multiple Urological Diseases by Highly Sensitive Dansylation Isotope Labeling LC-MS. [PDF]

Int J Mol Sci
Wang WH, Hsieh YJ, Chen CL, Chang YH, Tsai YH, Chang CH, Li L, Tu WJ, Yu JS, Chen YT.   +9 more
europepmc   +1 more source

Stable isotope labeling as a promising tool for rapid drug susceptibility testing in Neisseria gonorrhoeae. [PDF]

Braz J Microbiol, 2023
Dadwal R, Paul S, Gupta P, Yadav R, Sood S, Ghosh AK, Shivaprakash MR, Gainder S, Sethi S.   +8 more
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Optimization of ¹³C stable isotope labeling for the study of tricarboxylic cycle intermediates in mouse models. [PDF]

Methods
Laro J, Ness M, Godinho J, Coats R, McCall LI.   +4 more
europepmc   +1 more source