Results 151 to 160 of about 247,425 (305)

Bioinspired Bromination Enables Extensible, Strain‐Stiffening Resilin Peptide Scaffolds with Tunable Degradation

Advanced Functional Materials, EarlyView.
Bioinspired bromination of a resilin‐derived peptide enables the fabrication of electrospun nanofibrous scaffolds that uniquely combine strain‐stiffening elasticity, proteolytic stability, and antioxidant functionality. These brominated peptide–gelatin hybrids mimic the extensibility of natural elastomers, demonstrating tunable mechanical resilience ...
Elisa Marelli, Lorenzo Sori, Chiara Russo, Claudia Pigliacelli, Lorenza Draghi, Monica Soncini, Pierangelo Metrangolo   +6 more
wiley   +1 more source

4D Mapping of ZIF Biocomposites for High Protein Loading and Tunable Release Profiles

Advanced Functional Materials, EarlyView.
Systematic four‐dimensional mapping of zeolitic imidazolate framework biocomposites reveals how precursor ratios, total concentration, and washing define crystalline phase, protein loading, and release kinetics. This comprehensive study identifies conditions yielding record loading (∼85%) and precise phase–property correlations.
Michael R. Hafner, Francesco Carraro, Behnaz Abbasgholi‐NA, Simone Dal Zilio, Max Schmallegger, Helmar Wiltsche, Lingcong Ge, Michael R. Reithofer, Efwita Astria, Laura Villanova, Heinz Amenitsch, Christian Doonan, Paolo Falcaro   +12 more
wiley   +1 more source

Microplastics from Wearable Bioelectronic Devices: Sources, Risks, and Sustainable Solutions

Advanced Functional Materials, EarlyView.
Bioelectronic devices (e.g., e‐skins) heavily rely on polymers that at the end of their life cycle will generate microplastics. For research, a holistic approach to viewing the full impact of such devices cannot be overlooked. The potential for devices as sources for microplastics is raised, with mitigation strategies surrounding polysaccharide and ...
Conor S. Boland
wiley   +1 more source

Effect of seed priming on Bambara groundnut under salinity stress. [PDF]

BMC Plant Biol
Ntshalintshali S, Mngoma M, Mabuza N, Nkomo M, Buthelezi L.   +4 more
europepmc   +1 more source

Generating Cell Surface Nucleated Hydrogels with an Artificial Membrane‐Binding Transglutaminase

Advanced Functional Materials, EarlyView.
Cell‐based therapies require advanced strategies to enhance cell delivery and bioactivity. Cell membrane engineering offers an avenue to impart new functions to delivered cells to boost their viability and function. Here, an artificial membrane‐binding transglutaminase is generated and biophysically characterized.
Rosalia Cuahtecontzi Delint, Tao Li, Kapil D. Patel, Will H. Zhang, Ben M. Carter, Graham J. Day, Adam W. Perriman   +6 more
wiley   +1 more source

Microbial Biofertilizers for Salinity Stress Mitigation in Hydroponic Systems. [PDF]

Curr Issues Mol Biol
Renganathan P, Gaysina LA, Rueda-Puente EO.   +2 more
europepmc   +1 more source

Oral Dosed Organo‐Silica Nanoparticles Restore Glucose Homeostasis and β‐Cell Function in Diabetes Rats

Advanced Functional Materials, EarlyView.
An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu, Mingli Wei, Che Bian, Xiaoshuang Bi, Yaxin Deng, Peifu Xiao, Jiansong Zhao, Yuying Wang, Haibing He, Jingxin Gou, Tian Yin, Xing Tang, Li Yang, Hongbo Zhang, Yu Zhang   +14 more
wiley   +1 more source

Economic Impact Analysis of Marker-Assisted Breeding in Rice [PDF]

The benefits of developing and releasing salinity-tolerant and phosphorous-deficiency-tolerant rice in Bangladesh, India, Indonesia and the Philippines were estimated for marker-assisted breeding as compared to conventional breeding using economic ...
Alpuerto, Vida, Alwang, Jeffrey Roger, Norton, George W.   +2 more
core   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

The effect of Atonik biostimulant on greenhouse pepper under salinity stress. [PDF]

BMC Plant Biol
Haghighi M, Jalali M, Mozafarian M.
europepmc   +1 more source