Immunoassays are critical for clinical diagnostics, yet their performance is restricted by the physical constraints of flat surfaces used to immobilize capture molecules which limit loading capacity and induce protein denaturation. Hydrogels provide immense volumetric molecular loading capacity but translating them across diverse assay formats and readout modalities without compromising analyte permeability remains challenging. Here, we present a universal strategy for hydrogel integration into immunoassay platforms for enhanced optical and electronic biosensing. Utilizing bio-orthogonal photo-click chemistry, we developed a modular and tuneable poly(ethylene glycol) (PEG) matrix that achieves a 6,000-fold increase in molecular loading and a large mesh size for analyte diffusion. This 3D architecture demonstrates broad multimodal utility with easy integration into a range of binding-based assays enabling higher sensitivity, repeatability and multiplexability. It achieves high sensitivity enhancement for fluorescence detection in microarrays (38-fold) and microtiter plates (25-fold) and enables multiplexed readout in single wells, including from clinical serum samples. In silver metallization-based assays it boosts densitometric optical detection sensitivity (18-fold) and enables inexpensive electronic detection. In lateral flow assays, it generates 20-fold signal enhancement while enabling multiplexability and higher repeatability. By standardizing high-capacity volumetric biosensing, this scalable, plug-and-play technology empowers next generation highly sensitive, field-deployable point-of-care 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.