The valorization of whey, the main byproduct of cheese manufacture, is hindered for small and medium-sized dairy enterprises (SMEs) by the high cost of conventional separation technologies such as membrane filtration and chromatography. In this work, complex coacervation between whey proteins and carboxymethylcellulose (CMC) was scaled from 5 to 100 L to develop a simple, low-cost process for recovering a protein- and lipid-enriched product. Five commercial CMCs with molecular weights ranging from 18 to 780 kDa were first evaluated at laboratory scale. Intermediate-Mw CMC (400 kDa) provided the best balance between electrostatic complexation and sedimentation, removing 99% of the initial protein from the supernatant, as confirmed by residual protein quantification and turbidity. Using the selected CMC, the process was successfully scaled to 100 L in a conical-bottom tank with an off-centered 45° four-blade turbine. Geometric similarity (H/Dt = 2.0–2.5, Da/Dt = 0.26–0.33) was applied, achieving fully turbulent flow at both scales (Re = 3.56 × 104 and 1.41 × 105). Protein recovery reached 76%, with a 3.4-fold concentration of proteins and nearly complete fat recovery in the coacervate. The freeze-dried coacervate was readily redispersible up to 20% (w/v). Its ζ-potential shifted from near-zero at pH 3 to −40 mV above pH 6, reflecting the combined contribution of whey proteins and residual CMC. Thermal gelation of the coacervate (3.1% protein) was strongly pH-dependent: weak gels formed at acidic pH (G′ = 6–23 Pa), while strong, cohesive gels developed at alkaline pH (G′ = 325 Pa at pH 9). The lactose-rich supernatant showed reduced COD and BOD loads (12% and 28% reduction, respectively) and was successfully fermented by kefir grains without nutrient supplementation. This scalable, food-grade coacervation process offers an accessible alternative for dairy SMEs to transform whey from an environmental burden into a functional ingredient.
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 sequence constraints.
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.