This study explored the effects of micro-nano bubble (MNB) pretreatment combined with Lactiplantibacillus plantarum (Lp) fermentation or lipase (Lip) hydrolysis on lamb meat quality, gel properties, and flavor. SEM revealed that MNB loosened muscle fibers and increased porosity, while FT-IR indicated that MNB alone did not alter protein secondary structure. LF-NMR showed MNB + Lp triggered conversion of immobile to free water, whereas MNB + Lip maintained superior water retention. MNB + Lp achieved the lowest pH, reduced MDA by 71%, raised total free fatty acids to 2.87 g/100 g, and increased volatile aldehydes 7.9-fold; nonanal, (E)-2-nonenal, and (E)-2-decenal were key odor-active compounds, improving flavor. MNB + Lip increased free sulfhydryl and hydrophobic interactions, promoting a uniform gel network with enhanced water holding capacity and springiness of gels. Overall, MNB pretreatment enhanced biological modification in a pathway-dependent manner, enabling differentiated regulation of lamb flavor and processing characteristics, and providing a green and efficient strategy for lamb processing.
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.