Oct 2026· Journal of the American Chemical Society· 79 references
Luminescence and Fluorescent Materials
Abstract
Abstract NIR-II fluorescence/photoacoustic dual-modal imaging offers complementary advantages in sensitivity and penetration depth. However, its efficacy is compromised by aggregation, nonspecific binding, and background interference, which persist even with polymeric encapsulation. To address these limitations, we report herein the rationally designed encapsulation-activated triarylmethane dyes (ED5) functionalized with bulky 1,8-bis(2,4,6-trimethylphenoxy)anthracene (1,8-BMPhA) moieties. The judiciously installed bulky substituents not only impart sufficient steric hindrance to repel protein binding and suppress intermolecular π–π stacking but also favor a locally near-coplanar geometry of the conjugated backbone, thereby preserving a high oscillator strength and a large molar extinction coefficient. Upon DSPE-PEG2000 encapsulation, nanoconfinement restricts intramolecular rotation and suppresses nonradiative decay, triggering a marked turn-on response of both fluorescence and photoacoustic signals. The optimized ED5_3@NPs exhibit a 14-fold fluorescence enhancement, a molar extinction coefficient of 71,000 M–1 cm–1, and a photothermal conversion efficiency of 62%. In vivo, they enable sustained high-quality imaging over a 51-h period, achieve crosstalk-free vascular-lymphatic dual-channel visualization, and afford high-contrast orthotopic liver tumor diagnosis against strong background interference. This encapsulation-activated strategy overcomes the long-standing constraints of NIR-II fluorophores, including low molar extinction coefficient, aggregation propensity, poor water solubility, and low photothermal conversion efficiency. It offers a general and well-defined paradigm for high-fidelity deep-tissue imaging and provides a promising strategy for further development of precision diagnostics.
The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability, which underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
This study conducts a multiple case study on twenty European software startups and proposes a prototype-centric learning model in early stage software startups, and identifies factors that occur as barriers but also facilitators for prototyping in earlystage software startups.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
It is demonstrated that linker-free PROTACs can outperform traditional designs, marking a paradigm shift in PROTAC development for targeted protein degradation.
Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.