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Sehr niedrigNarrative ReviewIn vitro2026

In vitro digestion models in food chemistry: advancements, challenges, and applications in nutrient bioaccessibility and bioavailability.

Farhang Hameed Awlqadr, Mohammed N Saeed, Othman Abdulrahman Mohammed, Syamand Ahmed Qadir et al.

Kernaussage

In vitro digestion models, when integrated with advanced analytical instruments and absorption simulators, offer a cost-effective and reproducible alternative to in vivo studies for assessing nutrient release, transformation, and absorption, though standardization and microbiome representation remain key challenges.

Abstract

Modern food chemistry and nutrition research stresses digestion and bioavailability. In vitro digestive models are needed to reconstruct the human gastrointestinal (GI) system and study food-derived chemical release, transformation, and absorption. This review examines major in vitro digestion platforms, including static and dynamic systems, organ-on-chip devices, and 3D-bioprinted gut models. Integrating these models with absorption simulators such as Caco-2 cells and advanced analytical instruments (e.g., HPLC, LC-MS/MS, FTIR, NMR, and OMICS technologies) enables comprehensive profiling of digestion products. These models assess bioaccessibility and bioavailability of polyphenols, omega-3 fatty acids, and encapsulated nutraceuticals. Computer modeling and artificial intelligence (AI) increase prediction for high-throughput functional food performance screening. Though promising, current models lack homogeneity and microbial representation often does not fully replicate in vivo gut microbiota complexity. In vitro digestive models assist food scientists enhance products. Priorities include harmonizing INFOGEST protocols, improving physiological relevance, and customizing nutrition and clinical validation. These developments may strengthen the utility of in vitro models in precision nutrition and industrial applications.

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Quelle: PubMed Central / National Library of Medicine (NLM). Apollion steht in keiner Verbindung mit NLM und wird von NLM nicht empfohlen. Evidenzgrade bewerten die methodische Studienqualität — nicht die inhaltliche Richtigkeit.

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