Results 291 to 300 of about 965,579 (357)

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

Advanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach, Aysu Yurdusen, Norbert Stock, Guillaume Maurin, Christian Serre   +4 more
wiley   +1 more source

Validation of the 11+Myco MS-PREP® Method for Determination of Aflatoxins, Fumonisins, Deoxynivalenol, Ochratoxin A, Zearalenone, HT-2, and T-2 Toxins in Cereals, Baby Food, Spices, and Animal Feed by Immunoaffinity Column with LC-MS/MS: AOAC Performance Tested MethodSM 112401. [PDF]

J AOAC Int
Leeman D, Allan AB, Cameron H, Donelly C, Tramaseur A, Stratton J, MacDonald SJ.   +6 more
europepmc   +1 more source

Advancing from MOFs and COFs to Functional Macroscopic Porous Constructs

Advanced Materials, EarlyView.
This review study investigates the recent progress and methodologies for manufacturing metal–organic framework (MOF) or covalent–organic framework (COF)‐based 3D structured macroscopic porous constructs with high structural integrity, providing the possibility to control their porosity across dimensions.
Seyyed Alireza Hashemi, Ahmadreza Ghaffarkhah, Ali Akbar Isari, Mahyar Panahi‐Sarmad, Feng Jiang, Orlando J. Rojas, Stefan Wuttke, Mircea Dincă, Mohammad Arjmand   +8 more
wiley   +1 more source

Emergence of multidrug-resistant Bacillus spp. derived from animal feed, food and human diarrhea in South-Eastern Bangladesh. [PDF]

BMC Microbiol
Haque MA, Hu H, Liu J, Islam MA, Hossen F, Rahman MA, Ahmed F, He C.   +7 more
europepmc   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

Advanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

Advanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source

Adsorption and Separation by Flexible MOFs

Advanced Materials, EarlyView.
Flexible metal–organic frameworks (MOFs) present significant potential for gas storage and separation due to their structural dynamic. This review explores the rationale behind the flexible MOFs' enhanced working capacity and separation factors. It also addresses key challenges, including phase transition kinetics, crystal robustness, cycling, shaping,
Irena Senkovska, Volodymyr Bon, Antonia Mosberger, Yutong Wang, Stefan Kaskel   +4 more
wiley   +1 more source

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

Selective Lipolysis by Photoactivation of Chaperone‐Mediated Autophagy Using Adipocyte Membrane‐Coated Nanoparticle in Hydrogel

Advanced Materials, EarlyView.
Adipocyte membrane‐coated nanoparticles loaded with rosiglitazone in hydrogel offer an alternative approach to conventional obesity treatments. This system selectively targets adipocytes, inducing lipolysis by activating chaperone‐mediated autophagy through mild photothermal stimulation.
Jaehyun Choi, Junho Byun, Dongyoon Kim, Qiaoyun Li, Dongun Jin, Yeong‐jin Choi, Ho Sang Jung, Jaiwoo Lee, Yu‐Kyoung Oh   +8 more
wiley   +1 more source