Fuzzy identification of bioactive components for different efficacies of rhubarb by the back propagation neural network association analysis of UPLC-Q-TOF/MSE and integrated effects

Fuzzy identification of bioactive components for different efficacies of rhubarb by the back propagation neural network association analysis of UPLC-Q-TOF/MSE and integrated effects

Background: Rhei Radix et Rhizoma (rhubarb), as one of the typical representatives of multi-effect traditional Chinese medicines (TCMs), has been utilized in the treatment of various diseases due to its multicomponent nature. However, there are few systematic investigations for the corresponding eff...

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Bibliographic Details
Main Authors: Chen, J.-Q (Author), Chen, Y.-Y (Author), Du, X. (Author), Duan, J.-A (Author), Pu, Z.-J (Author), Shang, E.-X (Author), Shi, X.-Q (Author), Tang, Y.-P (Author), Tao, H.-J (Author), Yue, S.-J (Author), Zhou, G.-S (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
Back propagation neural network
Bioactive component
Efficacy
Fuzzy identification
Integrated effect
Rhubarb
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