Nourishing sustainability innovation: Scientific trajectories in industrial protein research
Marco S. Giarratana, Martina Pasquini, Markus Simeth
Research Policy · 2026 · Volume 55 · Issue 2
DOI: 10.1016/j.respol.2025.105375
Abstract
This paper investigates how distinct scientific trajectories inform sustainability-oriented innovation in the protein production sector. Focusing on USPTO patents in subclass A23J (1990–2015), we apply a two-step text analysis that links topic modeling of academic publications to the classification of patent texts. This method identifies four trajectories and evaluates their influence on follow-on innovation, with particular attention to citations from sustainability-related patents. The results reveal substantial heterogeneity: some trajectories, such as those centered on cellular and bioprocessing mechanisms, consistently generate sustainability spillovers, while others, such as protein chemistry, exhibit limited diffusion. These findings contribute to a view of science as a cognitive map that structures industrial research by making more explicit the underlying causal mechanisms that govern each trajectory, thereby shaping which domains are more likely to yield impactful and sustainability-aligned innovations.
Keywords
Academic articles, Food and proteins, Machine learning, Patents, Scientific trajectory, Sustainability innovation
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