Comparison of Artificial Neural Networks and Response Surface Methodology towards an Efficient Ultrasound-Assisted Extraction of Chlorogenic Acid from Lonicera japonica

Chlorogenic acid (CGA), a bioactive compound commonly found in plants, has been demonstrated possessing nutraceutical potential in recent years. However, the more critical issue concerning how to improve production efficacy of CGA is still limited. It is a challenge to harvest a large amount of CGA...

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Detalles Bibliográficos
Autores principales: Yu, Hui-Chuan, Huang, Shang-Ming, Lin, Wei-Min, Kuo, Chia-Hung, Shieh, Chwen-Jen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631501/
https://www.ncbi.nlm.nih.gov/pubmed/31234365
http://dx.doi.org/10.3390/molecules24122304

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6631501/
https://www.ncbi.nlm.nih.gov/pubmed/31234365
http://dx.doi.org/10.3390/molecules24122304

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