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Owing to their conformational flexibility, soft molecules with side chains play a crucial role in molecular self-assembly or self-organization processes toward bottom-up building of supramolecular nanostructures. However, the influence of the rotating side chains in the confined space and subsequent surface-confined supramolecular self-assembly remains rarely explored. Herein, using the spatial confinement effect between soft building blocks, we realized size control on surface-confined supramolecular coordination self-assembly through the synergy between the repulsive steric hindrance and the attractive chemical interactions. Combining scanning tunneling microscopy with density functional theory calculations and Monte Carlo simulations, we elucidated the effective repulsive force generated by the thermal wiggling motions of the soft building blocks, allowing length tuning of the self-assembled chain structures. Through a delicate balance between the repulsive interaction induced by the spatial confinement effect and the coordinate chemical interaction, we provide a new strategy for controlling the geometry of the on-surface supramolecular nanostructures.
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http://dx.doi.org/10.1021/acs.jpclett.3c02858 | DOI Listing |
Chem Sci
August 2025
Department of Chemistry, Indian Institute of Technology Bombay Powai Mumbai - 400076 India
The supramolecular organization of functional molecules at the mesoscopic level influences their material properties. Typically, planar π-conjugated (disc- or linear-shaped) molecules tend to undergo one-dimensional (1D) stacking, whereas two-dimensional (2D) organization from such building blocks is seldom observed in spite of their technological potential. Herein, we rationally achieve both 1D and 2D organizations from a single planar, π-conjugated molecular system competitive interactions.
View Article and Find Full Text PDFFront Bioeng Biotechnol
August 2025
Institute of Process Engineering in Life Sciences, Section IV: Biomolecular Separation Engineering, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Spectroscopic soft sensors are developed by combining spectral data with chemometric modeling, and offer as Process Analytical Technology (PAT) tools powerful insights into biopharmaceutical processing. In this study, soft sensors based on Raman spectroscopy and linear or partial least squares (PLS) regression were developed and successfully transferred to a filtration-based recovery step of precipitated virus-like particles (VLPs). For near real-time monitoring of product accumulation and precipitant depletion, the dual-stage cross-flow filtration (CFF) set-up was equipped with an on-line loop in the second membrane stage.
View Article and Find Full Text PDFCurr Biol
September 2025
Centre for Palaeobiology and Biosphere Evolution and School of Heritage and Culture, University of Leicester, Kathleen Kenyon Building, University Road, Leicester LE1 7RH, UK.
The Upper Jurassic Solnhofen Archipelago of Germany has yielded a pterosaur assemblage that has long underpinned and continues to dominate much of our understanding of these flying reptiles. Knowledge of how this assemblage was shaped by processes of fossilization, critical for generating robust paleobiological hypotheses, remains limited. Here, we combine fatal trauma case studies with quantitative taphonomic data to reveal two distinct fossilization pathways.
View Article and Find Full Text PDFDisabil Rehabil Assist Technol
September 2025
Department of Education, Fuzhou University of International Studies and Trade, Fuzhou, China.
This study explores the integration of traditional Chinese "Fu" culture into the moral education system for students with disabilities across K-12 and higher education through artificial intelligence. By leveraging soft computing to handle cultural ambiguities, it constructs an adaptive educational framework that aligns students' cognitive characteristics with curriculum demands, thereby enhancing their identification with Chinese culture. Guided by the theory of the "Second Combination," the research employs AI-powered soft computing to analyze the semantic and cognitive dimensions of "Fu" culture.
View Article and Find Full Text PDFChem Rev
September 2025
Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH) 77 Cheongam-Ro, Nam-Gu, Pohang, Gyeongbuk 37673, South Korea.
Self-regulating hydrogels represent the next generation in the development of soft materials with active, adaptive, autonomous, and intelligent behavior inspired by sophisticated biological systems. Nature provides exemplary demonstrations of such self-regulating behaviors, including muscle tissue's precise biochemical and mechanical feedback mechanisms, and coordinated cellular chemotaxis driven by dynamic biochemical signaling. Building upon these natural examples, self-regulating hydrogels are capable of spontaneously modulating their structural and functional states through integrated negative feedback loops.
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