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-Reference-Cited by-同舟云学术

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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

Published:2023-02 Issue:2 Volume:9 Page:e13398
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Ding Xiaoying,Wang Huaiyou^ORCID,Li Hengyang,Wang Tao,Hao Shenghui,Li Wenjie,Wang Chengyue,Wang Lei,Zheng Yuguang,An Qi,Guo Long,Zhang Dan^ORCID

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference34 articles.

1. Shi Yao Shen Shu;Ge,1956

2. Shen Nong Ben Cao Jing;Wu,1984

3. Ben Cao Gang Mu;Li,1982

4. Comparisons of the anti-inflammatory, antiviral, and hemostatic activities and chemical profiles of raw and charred Schizonepetae Spica;Liu;J. Ethnopharmacol.,2021

5. Schizonepeta tenuifolia: chemistry, pharmacology, and clinical applications;Fung;J. Clin. Pharmacol.,2002

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1. Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: Insights using a novel nickel-strontium-zirconium-aluminum catalyst;Molecular Catalysis;2024-06

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