Advances in Starch-Based Nanocomposites for Functional Food Systems: Harnessing AI and Nuclear Magnetic Resonance Technologies for Tailored Stability and Bioactivity DOI Creative Commons
Yue Sun, Ziyu Wang,

Jian Ye

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(5), P. 773 - 773

Published: Feb. 24, 2025

Starch-based nanocomposites (SNCs) are at the forefront of innovations in food science, offering unparalleled opportunities for enhancing stability, bioactivity, and overall functionality systems. This review delves into potential SNCs to address contemporary challenges formulation, focusing on synergistic effects their components. By integrating cutting-edge technologies, such as artificial intelligence (AI) nuclear magnetic resonance (NMR), we explore new avenues precision, predictability, SNCs. AI is applied optimize design SNCs, leveraging predictive modeling fine-tune material properties streamline production processes. The role NMR also critically examined, with particular emphasis its capacity provide high-resolution structural insights, monitor stability over time, elucidate molecular interactions within matrices. Through detailed examples, highlights impact unraveling complex behaviors bioactive compounds encapsulated Additionally, discuss integration functional assays AI-driven analytics assessing bioactivity sensory these systems, providing a robust framework rational advanced products. synergy between AI, NMR, opens pathways developing tailored, high-performance formulations that both health consumer preferences.

Language: Английский

Konjac glucomannan/zein active film loaded with tea polyphenol–ferric nanoparticles for strawberry preservation DOI
Zhenhua Wu, Lin Wang, Hu Zhi

et al.

International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: 299, P. 139905 - 139905

Published: Jan. 19, 2025

Language: Английский

Citations

0
Advances in Starch-Based Nanocomposites for Functional Food Systems: Harnessing AI and Nuclear Magnetic Resonance Technologies for Tailored Stability and Bioactivity DOI Creative Commons
Yue Sun, Ziyu Wang,

Jian Ye

et al.

Foods, Journal Year: 2025, Volume and Issue: 14(5), P. 773 - 773

Published: Feb. 24, 2025

Starch-based nanocomposites (SNCs) are at the forefront of innovations in food science, offering unparalleled opportunities for enhancing stability, bioactivity, and overall functionality systems. This review delves into potential SNCs to address contemporary challenges formulation, focusing on synergistic effects their components. By integrating cutting-edge technologies, such as artificial intelligence (AI) nuclear magnetic resonance (NMR), we explore new avenues precision, predictability, SNCs. AI is applied optimize design SNCs, leveraging predictive modeling fine-tune material properties streamline production processes. The role NMR also critically examined, with particular emphasis its capacity provide high-resolution structural insights, monitor stability over time, elucidate molecular interactions within matrices. Through detailed examples, highlights impact unraveling complex behaviors bioactive compounds encapsulated Additionally, discuss integration functional assays AI-driven analytics assessing bioactivity sensory these systems, providing a robust framework rational advanced products. synergy between AI, NMR, opens pathways developing tailored, high-performance formulations that both health consumer preferences.

Language: Английский

Citations

0