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FuenteFood and Bioprocess Technology | Cuartil año de publicaciónNo disponible | Volumen12 |
Issue8 | Páginas1395 - 1408 | pISSNNo disponible |
ISSN1935-5130 | Perfil OpenAlexhttps://openalex.org/S181365921 | |
| Scienti ID | 0000246441-160 | Scienti ID | 0000002380-202 | Minciencias ID | ART-0000002380-202 |
|---|---|---|---|---|---|
| Scienti ID | 0001468471-6 | Openalex URL | https://openalex.org/W2952467315 | Scholar citations URL | https://scholar.google.com/scholar?cites=14703673483499777987&as_sdt=5,34&sciodt=0,34&hl=en |
| Scienti URL | https://www.researchgate.net/publication/333968429_Phenolic_Compound-Loaded_Nanosystems_Artificial_Neural_Network_Modeling_to_Predict_Particle_Size_Polydispersity_Index_and_Encapsulation_Efficiency | Scholar URL | https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=info%3Aw69VPSHxDcwJ%3Ascholar.google.com&btnG= | Doi URL | https://doi.org/10.1007/s11947-019-02298-8 |
