The ubiquitous ability of natural dynamic nanostructures to adapt to environmental changes is a highly desirable property for chemical systems, particularly in the development of complex matter, molecular machines, and life-like materials. Designing such systems is challenging due to the generation of complex mixtures with responses that are difficult to predict, characterize, and diversify. Here, we navigate between self-assembled architectures using light by operating an intrinsic photoswitchable building block that governs the state of the system. When complementary units are present, the photoswitch determines the predominant architecture, reversibly adapting between the cage and macrocycles, including (otherwise inaccessible) higher-energy assemblies. Our study showcases this concept with seven different transformations, offering an unprecedented degree of control, diversification, and adaptation by self-selecting complementary units. These findings could enable applications of on-demand dissipative macrocycles based on dynamic bonds. We also envision different transient nanostructures, e.g., reticular and polymeric materials, being explored by fine-tuning the nature of the complementary unit.
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http://dx.doi.org/10.1021/jacs.4c11206 | DOI Listing |
ACS Appl Mater Interfaces
January 2025
Département de chimie, Université de Sherbrooke, Sherbrooke, Québec J1K 2R1, Canada.
Two new nonfused ring nonfullerene electron acceptors, NFAs, (dicarbazolyl)bis(2-(3-oxo-2,3-dihydro-1-inden-1-ylidene)malononitrile) () and -(2-(5,6-fluoro-3-oxo-2,3-dihydro-1-inden-1-ylidene)malononitrile) (), thus exhibiting an A-D-A motif, were synthesized and characterized. As thin films, they exhibit the lowest energy absorption signature near 540 nm, extending down to ∼700 nm. This band is due to an intramolecular charge transfer process from the (nonfused dicarbazoyl; ) moiety to the malononitrile-based units () based on density functional theory calculations (DFT), which are also corroborated by time-dependent DFT (TDDFT) computations.
View Article and Find Full Text PDFChem Sci
December 2024
Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, Institute of Developmental Biology and Regenerative Medicine, College of Chemistry and Chemical Engineering, Southwest University Chongqing 400715 P. R. China
Utilizing the cGAS-STING pathway to combat immune evasion is one of the most promising strategies for enhancing cancer immunotherapy. However, current techniques for activating the cGAS-STING pathway often face a dilemma, mainly due to the balance between efficacy and safety. Here, we develop a uracil base lesion-gated dumbbell DNA nanodevice (UBLE) that allows on-demand activation and termination of the cGAS-STING pathway in tumor cells, thereby enhancing cancer immunotherapy.
View Article and Find Full Text PDFACS Meas Sci Au
December 2024
Department of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
This article presents a colorimetric visual biosensor designed for direct application in undiluted biofluids, which holds significant promise for point-of-need applications. Unlike traditional biosensors that struggle with heavily diluted sample matrices, the presented biosensor does not require any instrumentation or trained personnel, making it highly practical. The sensor features an oligonucleotide probe covalently attached to magnetically separable magnetite (FeO) particles.
View Article and Find Full Text PDFThe aim of this study is to investigate the potential of radiomic features extracted from postmortem computed tomography (PMCT) scans of the lateral cerebral ventricles (LCVs) to provide information on the time since death, or postmortem interval (PMI), a critical aspect of forensic medicine. Periodic PMCT scans, referred to as "sequential scans", were obtained from twelve corpses with known times of death, ranging from 5.5 to 273 h postmortem.
View Article and Find Full Text PDFSensors (Basel)
December 2024
School of Computer and Software Engineering, Xihua University, Chengdu 610039, China.
Monocular depth estimation is a central problem in computer vision and robot vision, aiming at obtaining the depth information of a scene from a single image. In some extreme environments such as dynamics or drastic lighting changes, monocular depth estimation methods based on conventional cameras often perform poorly. Event cameras are able to capture brightness changes asynchronously but are not able to acquire color and absolute brightness information.
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