Optimization of the processing technology of schizonepetae herba carbonisata using response surface methodology and artificial neural network and comparing the chemical profiles between raw and charred schizonepetae herba by UPLC-Q-TOF-MS

In this study, response surface methodology (RSM) and artificial neural network (ANN) were used to predict and validate the optimal processing method of Schizonepetae Herba Carbonisata (SHC). The highest overall desirability (OD) value of the total flavonoids content (TFC), total tannin content (TTC...

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Detalles Bibliográficos
Autores principales: Ding, Xiaoying, Wang, Huaiyou, Li, Hengyang, Wang, Tao, Hao, Shenghui, Li, Wenjie, Wang, Chengyue, Wang, Lei, Zheng, Yuguang, An, Qi, Guo, Long, Zhang, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937912/
https://www.ncbi.nlm.nih.gov/pubmed/36820020
http://dx.doi.org/10.1016/j.heliyon.2023.e13398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9937912/
https://www.ncbi.nlm.nih.gov/pubmed/36820020
http://dx.doi.org/10.1016/j.heliyon.2023.e13398

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