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Updated: Aug 15, 2026

Elucidation of the Material Basis of Yiqi Qingjie Formula Against IgA Nephropathy Using UHPLC-Q-Orbitrap HRMS Integrated with Network Pharmacology
Published on: May 19, 2026
[A new linear neural network multi-component analysis method and its application in the analysis of VC yinqiao
Ying-kui Bai1, Xuan-guo Shen, Yi Feng
1Jilin University, College of Communication Engineering, Changchun 130025, China.
Abstract:
We measured NIR spectrum of VC yinqiao tablets with spectral instrument, analyzed the contents of acetaminophen and vitamin C in the VC yinqiao tablets with principal component analysis (PCA) and Linear Neural Network, and discussed the choice of principal component number and ANN's parameters affecting the network. To compare arithmetic performance, the authors also processed the spectral data with partial least squares and PCA-BP neural network. Compared with other two data process methods, the experiment and the result of data process showed that the PCA-linear neural network possess the best forecasting precision.
