Results 101 to 110 of about 3,489,818 (371)
Advanced Functional Materials, EarlyView.This work presents self‐propelled CRISPR/Cas9‐functionalized Au–MRs for rapid, amplification‐free, “on‐the‐fly” DNA detection. By harnessing motion‐assisted signal recovery, the platform achieved the limit of detection in low fM DNA concentrations, enabling detection across a wide dynamic range within only 5 min, which is significantly faster than any ...
Jyoti +3 more
wiley +1 more source
Applied SciencesTo enhance the fire suppression performance of Class A foam, this study identifies sodium dodecyl sulfate (SDS) as the primary foaming agent and develops a high-efficiency foam system comprising primary and auxiliary foaming agents, wetting agents, and ...
Huizhong Ma +5 more
doaj +1 more source
Electroactive Metal–Organic Frameworks for Electrocatalysis
Advanced Functional Materials, EarlyView.Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska +7 more
wiley +1 more source
Research and development of new intelligent foaming and discharging agent system
Scientific ReportsThe application of classic foaming agent faces several issues, including excessive use of defoaming agent, inadequate defoaming, pipeline blockage due to silicone oil precipitation, and high development cost of the foaming agent.
Shuo Zhao +4 more
doaj +1 more source
Gas dissolution foaming as a novel approach for the production of lightweight biocomposites of PHB/natural fibre fabrics [PDF]
, 2018 Producción CientíficaThe aim of this study is to propose and explore a novel approach for the production of cellular lightweight natural fibre, nonwoven, fabric-reinforced biocomposites by means of gas dissolution foaming from composite precursors of ...
Ardanuy, Mònica +4 more
core +3 more sources
Implementation of Drug‐Induced Rhabdomyolysis and Acute Kidney Injury in Microphysiological System
Advanced Functional Materials, EarlyView.A modular Muscle–Kidney proximal tubule‐on‐a‐chip integrates 3D skeletal muscle and renal proximal tubule tissues to model drug‐induced rhabdomyolysis and acute kidney injury. The coculture system enables dynamic tissue interaction, functional contraction monitoring, and quantification of nephrotoxicity, revealing drug side effect‐induced metabolic ...
Jaesang Kim +4 more
wiley +1 more source
Preparation of Porous Materials by Magnesium Phosphate Cement with High Permeability
Advances in Materials Science and Engineering, 2018 High permeability and strength magnesium phosphate cement (MPC) with porosity, average pore size, and compressive strength varied from 63.2% to 74%, 138.7 μm to 284.7 μm and 2.3 MPa to 4.7 MPa, respectively, were successfully prepared by combining the ...
Lai Zhenyu +4 more
doaj +1 more source
INTESIS FOAMING AGENT ASAM LAURAT SAWIT DAN KARAKTERISTIK SIFAT FISIKOKIMIA
Jurnal Teknologi Industri Pertanian, 2018 Synthesis of foaming agent was conducted by reacting fatty acid of vegetable oil and alkaline. In this study, the selected fatty acid consisted of palm oil as raw material; with NaOH and KOH as alkali materials.
Jihan Pradesi +2 more
doaj +1 more source
Influences of impurities in recycled plastics on properties of PIM sandwich panels [PDF]
, 2009 Powder impression moulding (PIM) is a novel technology for manufacturing lightweight sandwich panels from plastics in powder form. The process is featured by its high tolerant to impurities or contaminants in the feedstock and thus requires much less ...
Qi, K, Song, J, Tarverdi, K
core
Advanced Functional Materials, EarlyView.This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley +1 more source