Results 201 to 210 of about 259,805 (253)

Light‐Responsive Enzyme‐Loaded Nanoparticles for Tunable Adhesion and Mechanical Wound Contraction

Advanced Functional Materials, EarlyView.
This study presents a photoactivatable enzyme‐loaded mesoporous nanoparticle system (MPDA_PaTy) that enables light‐triggered tunable tissue adhesion and facilitates mechanical wound contraction. Controlled enzymatic crosslinking at tissue or hydrogel interfaces allows on‐demand adhesion.
Junghyeon Ko, Hyeon‐Jin Kim, Jeong‐Uk Kim, Seh Ri Oh, Tae Hoon Kang, Junghwan Byun, Uk‐Jae Lee, Minglin Ma, Su‐Hwan Kim, Byung‐Gee Kim, Nathaniel S. Hwang   +10 more
wiley   +1 more source

A 3D Biofabricated Disease Model Mimicking the Brain Extracellular Matrix Suitable to Characterize Intrinsic Neuronal Network Alterations in the Presence of a Breast Tumor Disseminated to the Brain

Advanced Functional Materials, EarlyView.
A 3D disease model is developed using customized hyaluronic‐acid‐based hydrogels supplemented with extracellular matrix (ECM) proteins resembling brain ECM properties. Neurons, astrocytes, and tumor cells are used to mimic the native brain surrounding.
Esra Türker, Mateo S. Andrade Mier, Jessica Faber, Mike Friedrich, Zan Lamberger, Jeannette Weigelt, Christian Stigloher, Nicoletta Murenu, Natascha Schaefer, Jörg Tessmar, Gregor Lang, Silvia Budday, Katrin G. Heinze, Antje Appelt‐Menzel, Pamela L. Strissel, Reiner Strick, Carmen Villmann   +16 more
wiley   +1 more source

Photonic Engineering Enables All‐Passive Upconversion Imaging with Low‐Intensity Near‐Infrared Light

Advanced Functional Materials, EarlyView.
A passive upconversion imaging system enables the observation of scenes illuminated by low‐intensity incoherent near‐infrared light from 750 to 930 nm, by converting it into the visible without the use of external power. The upconverter is enabled by triplet–triplet annihilation in a bulk heterojunction, with absorption enhanced by plasmonic resonators
Rabeeya Hamid, Demeng Feng, Pournima Narayanan, Justin S. Edwards, Manchen Hu, Emma Belliveau, Minjeong Kim, Shenwei Yin, Sanket Deshpande, Chenghao Wan, Linda Pucurimay, David A. Czaplewski, Daniel N. Congreve, Mikhail A. Kats   +13 more
wiley   +1 more source

Bio‐Friendly Artificial Muscles Based on Carbon Nanotube Yarns and Eutectogel Derivatives

Advanced Functional Materials, EarlyView.
Solid‐state artificial muscles based on coiled commercial carbon nanotube yarns coated with eutectogel derivatives exhibit unipolar actuation through selective ion intercalation. Combining polyanionic and polycationic gels enables enhanced contractile stroke and high energy density.
Gabriela Ananieva, Cédric Vancaeyzeele, Giao T.M. Nguyen, Daniel Aguilera‐Bulla, Mathieu Pinault, Frédéric Vidal, Cédric Plesse   +6 more
wiley   +1 more source

Tailoring the Properties of Functional Materials With N‐Oxides

Advanced Functional Materials, EarlyView.
The properties of materials bearing N‐oxide groups are often dominated by the polar N+─O− bond. It provides hydrophilicity, selective ion‐binding, electric conductivity, or antifouling properties. Many of the underlying mechanisms have only recently been discovered, and the interest in N‐oxide materials is rapidly growing.
Timo Friedrich, Michelle Kobus, Shirin Mesgarha, Erica Moretto, Laurens Grosche, Wolfgang Maison   +5 more
wiley   +1 more source

A Smart Bio‐Battery Facilitates Diabetic Bone Defect Repair Via Inducing Macrophage Reprogramming and Synergistically Modulating Bone Remodeling Coupling

Advanced Functional Materials, EarlyView.
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv, Haifu Sun, Wenxiang Tang, Yonggang Li, Zhonglai Qian, Lihui Hong, Chong Chen, Hongye Li, Jiaxiang Bai, Yusen Qiao, Mingming Liu   +10 more
wiley   +1 more source

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Nutrient density model revisited

Nutrition Research, 1994
Abstract One of the common obstacles in the analysis of nutrient data is the high correlation between nutrients (N) and total caloric intake (T) when used in a traditional multivariate model. This results in difficulties in separating the effect of N from the effect of T when they are simultaneously used in a statistical model.
Borko Jovanovic, Sally Freels, Faith Davis, Juliet VanEenwyk   +3 more
openaire   +1 more source