Oct 2026· Journal of materials chemistry. B· 0 citations· 17 references
Medicine
Abstract
We present an all-printed immunosensing microchip that integrates hydrophilic-hydrophobic patterning, covalent antibody immobilization, and photonic bandgap engineering into a single, scalable manufacturing platform for high-sensitivity protein detection. By precisely matching the microchip's photonic bandgap (centered at 680 nm) to the emission maximum of Cy5, the platform achieves an approximately 18.5-fold fluorescence enhancement, enabling a limit of detection of 3.61 pg mL-1 for the preeclampsia biomarker soluble Fms-like tyrosine kinase-1 (sFlt-1) using only 10 µL of urine, offering substantially enhanced sensitivity compared to conventional ELISA. The fully printed fabrication strategy eliminates the need for cleanroom facilities or manual assembly, allowing for cost-effective, substrate-independent production while maintaining rapid assay times (10 min) and high reproducibility. Clinical validation in 60 participants (30 preeclampsia patients and 30 healthy controls) confirmed the platform's diagnostic accuracy and strong correlation with blood pressure. This work establishes a generalizable, all-printed nanophotonic biochip that bridges the gap between high-performance optical biosensors and scalable, point-of-care deployable devices, offering a new materials framework for decentralized diagnostic applications.
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.
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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.