This review systematically elucidates the luminescence mechanism, synthesis methods of matrix‐free afterglow carbon dots, and their application progress in information encryption, light‐emitting diodes, sensing, bioimaging, and tumor treatment, and finally, discusses the current challenges and future development directions. ABSTRACT Afterglow materials,
Yupeng Liu +5 more
wiley +1 more source
Understanding aroma impacts of four important volatile sulfur compounds in Oregon Pinot noir wines
Sensory properties of four important volatile sulfur compounds, dimethyl disulfide (DMDS), diethyl disulfide (DEDS), methanethiol (MeSH) and ethanethiol (EtSH), were determined in base Oregon Pinot noir wine in order to understand their impacts on wine ...
Tsai, I-Min
core
How Closures Shape Red Wine Characteristics for Medium-Term Storage: Contributions to Explain Orthonasal and Retronasal Perception. [PDF]
Mota J +5 more
europepmc +1 more source
Mass Spectra of Volatile Sulfur Compounds in Foods
NISHIMURA, Hiroyuki +2 more
openaire +2 more sources
A method for the study of the formation of volatile sulphur compounds by bacteria [PDF]
L H, Almy, L H, James
openaire +2 more sources
Influence of Particle Size, Moisture, and Cloud Density on Wood Dust Ignition
The ignition and combustion of particle clouds are strongly affected by particle interactions. This study uses spectroscopy to examine effects of particle size, water content, and cloud density. Results show ignition delay rises with larger size and density, whereas combustion duration depends mainly on water and density due to moisture‐driven ...
Matteo Giesen +2 more
wiley +1 more source
Profiling and Association of Microbiota and Volatile Compounds in Commercial Fermented Shrimp Pastes (<i>Terasi</i>). [PDF]
Surya R, Ervina E, Petsong K, Nugroho D.
europepmc +1 more source
Carbon2Chem—Innovative Research for the Energy Transition
The Carbon2Chem project has been working on solutions for the energy transition since 2016. Despite changes in its framework conditions, the project remains on course. The project structure and the collaboration between the project partners are essential for the project's success.
Torsten Müller
wiley +1 more source
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
New comprehensive two-dimensional gas chromatography with sulfur and mass selective detection setup- expanding analytical capabilities for detection of odor active sulfur compounds in food. [PDF]
Skef L, Asen D, Pantò S, Leitner E.
europepmc +1 more source

