Results 231 to 240 of about 100,844 (292)

Comparative Analysis of Dried Water Bamboo Shoots Using Different Drying Methods: Physicochemical Properties and Flavor. [PDF]

Foods
Tong X, Zhu K, Wu S, Liu X, Liu C, Wang J, Liu H, Chen B, Wang X, Jiang Y, Qiao Y, Zhang Y.   +11 more
europepmc   +1 more source

Harnessing Solar Energy for Ammonia Synthesis from Nitrogen and Seawater Using Oxynitride Semiconductors

Advanced Energy Materials, EarlyView.
In this work, the challenging green ammonia evolution is addressed by developing a photothermal system that utilizes nitrogen and natural seawater under simulated solar irradiation, employing ruthenium‐doped barium tantalum oxynitride semiconductors.
Yiyang Li, Mengqi Duan, Simson Wu, Robert A. Taylor, Shik Chi Edman Tsang   +4 more
wiley   +1 more source

Beyond Imperfect Match: Silicon/Graphite Hybrid Anodes for High‐Energy–Density Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon/graphite (Si/Gr) hybrid anodes are limited by Si's large volume change and mismatch with Gr. This review offers mechanistic insights into imperfectly matched Si/Gr hybrid anodes, elucidating heterogeneous lithiation behavior and interfacial failure pathways, and thereby informing the design of durable, high‐energy–density lithium‐ion batteries.
Jing Li, Karol Viviana Mejía‐Centeno, Malik Dilshad Khan, Guifang Zeng, Lijie Ci, Andreu Cabot, Qing Sun   +6 more
wiley   +1 more source

Stage‐Specific Roles of Deep Eutectic Solvents in Recycling of Spent Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Deep eutectic solvents (DESs) offer tunable acidity, redox, and coordination properties for selective recycling of spent lithium‐ion battery cathodes. Through co‐dissolution, single‐ and two‐metal separations, DESs enable sustainable recovery of critical metals for closed‐loop regeneration of battery‐grade materials, advancing a circular economy for ...
Jingxiu Wang, Yan Wang, Yanqiu Lyu, Jianfeng Mao, Zaiping Guo   +4 more
wiley   +1 more source

Pretreatment and Thermal Stability of <i>Idesia polycarpa</i> Virgin Oil. [PDF]

Foods
Feng H, Zhao Y, Li Q, Ye W, Zheng S, Hou J, Chang Y.   +6 more
europepmc   +1 more source

Advancing Direct Alcohol Fuel Cells: Innovations in Composite‐Based Electrocatalysts and Polymer Support Materials for Enhanced Efficiency

Advanced Energy and Sustainability Research, EarlyView.
This graphical abstract emphasizes the working principle and the various essential factors of the direct methanol fuel cell (DMFCs). Additionally, various parameters, such as the nanoparticle's size and shape, the nature of the electrolyte, the type of support materials, and their fabrication process, also play essential roles in the functioning of the
Kirti Mishra, Samarjeet Singh Siwal, Phil Hart, Vijay Kumar Thakur   +3 more
wiley   +1 more source

Freeze-microwave vacuum drying optimizes structure and dual antidiabetic activities of <i>Pyracantha fortuneana</i> fruit polysaccharides. [PDF]

Food Chem X
Sun J, Wan X, Sun M, Chen X, Huang R, Hu Y, Li Y, Wang L, Liu L, Chen G.   +9 more
europepmc   +1 more source

Breaking Down Lignin: A Macromolecule's Path to the Nanoscale

Advanced Energy and Sustainability Research, EarlyView.
This section highlights lignin's critical role as a sustainable, multifunctional precursor for nanomaterial design. Its unique structure and abundance enable the creation of lignin‐based, lignin‐derived, and hybrid nanomaterials with tunable properties. Emphasis is placed on lignin's potential to drive innovation in nanotechnology, offering ecofriendly
Jelena Papan Djaniš, Jan Hočevar, Griša Grigorij Prinčič, Jernej Iskra   +3 more
wiley   +1 more source

Predicting the quality changes during microwave frying of food biopolymers by solving the hybrid mixture theory-based unsaturated transport, and electromagnetics equations. [PDF]

Curr Res Food Sci
Shah Y, Takhar PS.
europepmc   +1 more source

Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka, Saman Azhari, Shoshi Tokuno, Ahmet Karacali, Yuki Usami, Shuhei Ikemoto, Hakaru Tamukoh, Hirofumi Tanaka   +7 more
wiley   +1 more source