Researchers have been chasing plastics that can automatically and fully degrade into valuable products under natural conditions. Here, we develop a series of water-degradable polymers from the first reported fast and selective cationic copolymerization of formaldehyde (B) with cyclic anhydrides (A). In addition to readily accessible monomers, the method is performed at industrially relevant temperatures (~100 °C), takes tens or even minutes, and uses common acid as the catalyst. Interestingly, such polymers possess tunable AB/ABB-type repeating units, which are considered to be thermodynamic and kinetic products, respectively, resulting in low carbon content ([O] : [C] up to 1 : 1). Notably, the polymers can completely degrade to valuable diacids within 150 days in water at ambient temperature owing to the incorporation of carboxyl terminals and acid-responsive acetal units. By washing with aqueous sodium carbonate, the polymers are relatively stable over several months.
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http://dx.doi.org/10.1002/anie.202315524 | DOI Listing |
FASEB J
January 2025
Department of Obstetrics and Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, 200011, China.
With the global rise in advanced maternal age (AMA) pregnancies, the risk of gestational diabetes mellitus (GDM) increases. However, few GDM prediction models are tailored for AMA women. This study aims to develop a practical risk prediction model for GDM in AMA women.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Chemistry, Renmin Street, 130024, Changchun, CHINA.
High capacity, selective recovery and separation of precious metals from complex aqueous solutions is essential but remains a challenge in practical applications. Here, we prepared a thiophene-modified aromatic porous organic cage (T-PAC) with high stability for precise recognition and recovery of gold. T-PAC exhibits an outstanding gold uptake capacity of up to 2260 mg/g with fast adsorption kinetics and high adsorption selectivity.
View Article and Find Full Text PDFFEMS Microbiol Ecol
January 2025
Department of Biotechnology and Food Science, NTNU Norwegian University of Science and Technology, Trondheim, Norway.
In this study, we investigated the influence of host genetics and environmental microbiomes on the early gut microbiome of Atlantic salmon. We aimed at rearing the fish in either r- or K-selected environments, where the r-selected environment would be expected to be dominated by fast-growing opportunistic bacteria and thus represent more detrimental microbial environment than the K-selected water. Eggs from both wild and aquaculture strains of Atlantic salmon were hatched under germ-free conditions.
View Article and Find Full Text PDFBioorg Chem
January 2025
Key Laboratory for Tibet Plateau Phytochemistry of Qinghai Province, College of Pharmacy, Qinghai Minzu University, Xining 810007 Qinghai, China; State Key Laboratory of Applied Organic Chemistry and College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China. Electronic address:
Viscosity is a fundamental property in biological systems, influencing organelle function and molecular diffusion. Abnormal viscosity is associated with diseases such as metabolic disorders, neurodegeneration, and cancer. Lysosomes, central to cellular degradation and recycling, are sensitive to viscosity changes, which can disrupt enzymatic activity and cellular homeostasis.
View Article and Find Full Text PDFPhys Med Biol
January 2025
Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, Downs Road, Sutton, London, Surrey, SM2 5PT, UNITED KINGDOM OF GREAT BRITAIN AND NORTHERN IRELAND.
This study aims to develop and evaluate a fast and robust deep learningbased auto-segmentation approach for organs at risk in MRI-guided radiotherapy of pancreatic cancer to overcome the problems of time-intensive manual contouring in online adaptive workflows. The research focuses on implementing novel data augmentation techniques to address the challenges posed by limited datasets. Approach: This study was conducted in two phases.
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