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Lookup NU author(s): Dr Jordan CuffORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
The mass rearing of insects for food and feed has emerged as a promising solution to food insecurity, protein production and waste valorization. While outcomes such as growth and feed conversion efficiency have been examined for mass reared insects, the mechanisms underpinning these outcomes are poorly understood. To optimize the rearing of insects for food and feed and build toward efficient, scalable and productive systems, we must first therefore understand the mechanisms driving productivity and efficiency in common target species. By integrating emerging technologies across disciplines, we can begin to characterize these mechanisms to guide the optimization of robust and standardized systems for efficient and scalable food and feed production. In this article, we explore opportunities for integrated and interdisciplinary thinking, and use of emerging technologies to characterize the feeding physiology, digestive processes, microbiome-driven nutritional effects and behavioral regulation of insects commonly used for food and feed. We identify areas of synergy and interaction across research domains and provide a roadmap and call to action to catalyze uptake of these ideas across research and practice. By realizing interdisciplinary integration and implementation of emerging technologies, we believe that an urgently required deeper mechanistic understanding of feeding-related processes is possible. This can, in turn, enable precision nutrition, improve system robustness and ensure consistent product quality.
Author(s): Bruno D, Cuff JP, Adamaki-Sotiraki C, Ameixa O, Athanassiou CG, Boukrouh S, Castellanos F, Gebiola M, Guillaume JB, Ibikunle O, Klammsteiner T, Oonincx D, Savio C, Sibinga NA, Tettamanti G, Opatovsky I
Publication type: Article
Publication status: Published
Journal: Journal of Insects as Food and Feed
Year: 2026
Volume: 12
Issue: 7
Pages: 1137-1147
Online publication date: 10/04/2026
Acceptance date: 10/04/2026
Date deposited: 17/04/2026
ISSN (electronic): 2352-4588
Publisher: Wageningen Academic
URL: https://doi.org/10.1163/23524588-20260004
DOI: 10.1163/23524588-20260004
ePrints DOI: 10.57711/h1yh-e517
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