Evidence-driven companion animal nutrition: Integrated perspectives
on ingredients, processing technologies, functional nutrition, food safety, and digital assessment
Evidence-driven companion animal nutrition: Integrated perspectives
on ingredients, processing technologies, functional nutrition, food safety, and digital assessmentJungwhan Chon,K. Seo,2 Authors,K. Song
2026 · DOI: 10.11002/fppi.2026.25.1.23
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TLDR
Major ingredient categories, including plant-based materials, animal-derived co-products, and emerging insect proteins, are examined with respect to nutritional value, sustainability, and digestibility and the integration of digital and AI-driven technologies is highlighted as a future direction for precision nutrition in companion animals.
Abstract
The global companion animal industry has rapidly evolved due to pet humanization,
dietary premiumization, and growing demand for scientifically substantiated nutrition. Modern pet foods are now evaluated through a multifactorial framework encompassing ingredient sourcing, processing technologies, functional additives, palatability, food safety, and digital health monitoring. However, these domains are often discussed independently, resulting in fragmented interpretations. This review presents an integrated overview of contemporary companion animal nutrition, focusing on dogs and cats. Major ingredient categories, including plant-based materials, animal-derived co-products, and emerging insect proteins, are examined with respect to nutritional value, sustainability, and digestibility. Key processing technologies-extrusion, retort sterilization, and fresh formats-are discussed in relation to nutrient retention, safety, and functional performance. The roles of functional ingredients such as probiotics, phytogenics, essential oils, and melatonin are evaluated for their effects on gut health, immunity, behavior, and metabolism. Approaches to palatability assessment, food safety considerations, and regulatory frameworks are reviewed. Finally, the integration of digital and AI-driven technologies is highlighted as a future direction for precision nutrition in companion animals.