Phenolic Compound–Loaded Nanosystems: Artificial Neural Network Modeling to Predict Particle Size, Polydispersity Index, and Encapsulation Efficiency

Research article (Food and Bioprocess Technology, 2019) · cited 11× · AI/ML
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Phenolic Compound–Loaded Nanosystems: Artificial Neural Network Modeling to Predict Particle Size, Polydispersity Index, and Encapsulation Efficiency

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Phenolic Compound–Loaded Nanosystems: Artificial Neural Network Modeling to Predict Particle Size, Polydispersity Index, and Encapsulation Efficiency is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Phenolic Compound–Loaded Nanosystems: Artificial Neural Network Modeling to Predict Particle Size, Polydispersity Index, and Encapsulation Efficiency. Retrieved May 24, 2026, from https://4ort.xyz/entity/phenolic-compoundloaded-nanosystems-artificial-neural-network-modeling-to-predict-particle-size-polydispersity-index-and
MLA “Phenolic Compound–Loaded Nanosystems: Artificial Neural Network Modeling to Predict Particle Size, Polydispersity Index, and Encapsulation Efficiency.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/phenolic-compoundloaded-nanosystems-artificial-neural-network-modeling-to-predict-particle-size-polydispersity-index-and.
BibTeX @misc{4ortxyz_phenolic-compoundloaded-nanosystems-artificial-neural-network-modeling-to-predict-particle-size-polydispersity-index-and_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Phenolic Compound–Loaded Nanosystems: Artificial Neural Network Modeling to Predict Particle Size, Polydispersity Index, and Encapsulation Efficiency}}, year = {2026}, url = {https://4ort.xyz/entity/phenolic-compoundloaded-nanosystems-artificial-neural-network-modeling-to-predict-particle-size-polydispersity-index-and}, note = {Accessed: 2026-05-24}}
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