This work aimed at elucidating the influence of zwitterionic hard segments on the structures and properties of shape memory polyurethanes (SMPUs). A series of zwitterionic SMPUs was successfully prepared with -methyldiethanolamine (MDEA), 1,3-propanesultone (1,3-PS), 1,6-hexamethylene diisocyanate (HDI) and polyethylene glycol (PEG6000). The influence of MDEA-PS-based zwitterionic hard segment on structure, morphology, thermal property, shape memory property and cytocompatibility were systematically investigated. The results demonstrated that the PEG-based zwitterionic SMPUs (PEG-ZSMPUs) formed phase separation structure consisting of crystalline soft phase and amorphous hard phase. The MDEA-PS zwitterionic segments showed a tendency to form ionic clusters in hard segments, which served as reinforced net points. Shape memory analysis showed that zwitterionic PEG-ZSMPUs containing a high content of zwitterionic segments had thermal-induced shape memory effects. Finally, cytotoxic assays demonstrated that MDEA-PS zwitterionic segment improved the biocompatibility of PEG-ZSMPUs. The zwitterionic PEG-ZSMPUs could thus have a promising application in smart biomedical fields.
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http://dx.doi.org/10.3390/polym9100465 | DOI Listing |
Food Chem
January 2025
Department of Food Science & Technology, School of Agriculture & Biology, Shanghai Jiao Tong University, Shanghai 200240, China; School of Food Science and Engineering, Ningxia University, Yinchuan 750021, China. Electronic address:
This study investigates the flavor perception of strong-aroma Baijiu through physiological electrical signals, focusing on electroencephalography (EEG) and electromyography (EMG) during olfactory and gustatory evaluations. It examines how sensory qualities, especially mellowness, influence brain and muscle responses. Results showed significant differences in EEG δ and β wavebands, mainly in the frontal and temporal lobes, reflecting varying brain activities across Baijiu types.
View Article and Find Full Text PDFSci Adv
January 2025
School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore.
Electronic skins endow robots with sensory functions but often lack the multifunctionality of natural skin, such as switchable adhesion. Current smart adhesives based on elastomers have limited adhesion tunability, which hinders their effective use for both carrying heavy loads and performing dexterous manipulations. Here, we report a versatile, one-size-fits-all robotic adhesive skin using shape memory polymers with tunable rubber-to-glass phase transitions.
View Article and Find Full Text PDFAdv Healthc Mater
January 2025
Antimicrobial Research Laboratory, New Chemistry Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bengaluru, Karnataka, 560064, India.
Uncontrollable haemorrhage and associated microbial contamination in the battlefield and civilian injuries pose a tremendous threat to healthcare professionals. Such traumatic wounds often necessitate an effective point-of-care solution to prevent the consequent morbidity owing to blood loss or haemorrhage. However, developing superior hemostatic materials with anti-infective properties remains a challenge.
View Article and Find Full Text PDFJ Gerontol B Psychol Sci Soc Sci
January 2025
Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA.
Objectives: The extent to which lifestyle shapes trajectories of normal cognitive aging, and the factors with highest potential for mitigating cognitive decline, remain poorly uncharacterized.
Method: Participants of the Rancho Bernardo Study underwent demographic, health, and behavioral characterization at baseline, along with up to seven cognitive assessments over a 27-year follow-up period. Factor analysis of 24 baseline risk variables identified 9 composite factors.
Proc Natl Acad Sci U S A
January 2025
Computational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037.
Recurrent neural networks (RNNs) based on model neurons that communicate via continuous signals have been widely used to study how cortical neural circuits perform cognitive tasks. Training such networks to perform tasks that require information maintenance over a brief period (i.e.
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