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Your search keyword '"Guochao SHI"' showing total 4 results
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4 results on '"Guochao SHI"'

1. High-performance grating-like SERS substrate based on machine learning for ultrasensitive detection of Zexie-Baizhu decoction

Author

Wenying Zhou, Xue Han, Yanjun Wu, Guochao Shi, Shiqi Xu, Mingli Wang, Wenzhi Yuan, Jiahao Cui, and Zelong Li

Subjects
SERS, Machine learning, Grating-like structure, Traditional Chinese medicine decoction, Zexie-Baizhu decoction, Science (General), Q1-390, Social sciences (General), H1-99
Abstract

Rapid, universal and accurate identification of chemical composition changes in multi-component traditional Chinese medicine (TCM) decoction is a necessary condition for elucidating the effectiveness and mechanism of pharmacodynamic substances in TCM. In this paper, SERS technology, combined with grating-like SERS substrate and machine learning method, was used to establish an efficient and sensitive method for the detection of TCM decoction. Firstly, the grating-like substrate prepared by magnetron sputtering technology was served as a reliable SERS sensor for the identification of TCM decoction. The enhancement factor (EF) of 4-ATP probe molecules was as high as 1.90 × 107 and the limit of detection (LOD) was as low as 1 × 10−10 M. Then, SERS technology combined with support vector machine (SVM), decision tree (DT), Naive Bayes (NB) and other machine learning algorithms were used to classify and identify the three TCM decoctions, and the classification accuracy rate was as high as 97.78 %. In summary, it is expected that the proposed method combining SERS and machine learning method will have a high development in the practical application of multi-component analytes in TCM.

Published
2024
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2. SiO2 Nanolayer Regulated Ag@Cu Core-Shell SERS Platform Integrated Machine Learning for Intelligent Identification of Jujuboside A, Saikosaponin A and Timosaponin A-III

Author

Wenying Zhou, Xue Han, Yanjun Wu, Guochao Shi, Shiqi Xu, Mingli Wang, Wenzhi Yuan, Jiahao Cui, and Zelong Li

Subjects
Grating-like core-shell structure, machine learning, pharmacodynamic substances in traditional Chinese medicine, SERS, Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467
Abstract

An effective SERS-based detection method assisted by machine learning algorithm has been developed to intelligently identify the pharmacodynamic substances in traditional Chinese medicine (TCM) which aided in the quality control and identification of TCM. In this work, the ultrasensitive grating-like core-shell Ag@SiO2@Cu@moth wing (Ag@SiO2@Cu@MW) SERS platform was explored which can precisely control the intergap distances by adjusting the thickness of the SiO2 layer. This SERS platform demonstrated reproducibility and reliability, with a low relative standard deviation (RSD) of 7.38% and an enhancement factor (EF) of 2.49 × 107. The optimized Ag30@SiO2(4)@Cu20@MW substrate were then applied in the accurately analyzing pharmacodynamic substances. Specifically, the label-free SERS analysis showed the distinct spectral features for Jujuboside A, Saikosaponin A and Timosaponin A-III. Machine learning algorithms, such as principal component analysis (PCA), decision tree (DT), support vector machine (SVM), k-nearest neighbors (kNN) were employed and further in differentiating with the three pharmacodynamic substances Raman spectrum groups. These results indicate that SERS technology in combination with machine learning algorithms can not only achieve rapid and accurate detection of different types of pharmacodynamic substances, but also promote the modernization and international application of TCM.

Published
2024
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4. Benralizumab efficacy and safety in severe asthma: A randomized trial in Asia

Author

Lai, Kefang, primary, Sun, Dejun, additional, Dai, Ranran, additional, Samoro, Ronnie, additional, Park, Hae-Sim, additional, Åstrand, Annika, additional, Cohen, David, additional, Jison, Maria, additional, Shih, Vivian H., additional, Werkström, Viktoria, additional, Yao, Yuhui, additional, Zhang, Yajuan, additional, Zheng, Wenying, additional, Zhong, Nanshan, additional, Ampordan, Alipen Zara, additional, Elaine, Capalla Marie, additional, Ke-bin, Cheng, additional, Analyn, Jumeras, additional, Sae-Hoon, Kim, additional, Won, Kim Sei, additional, San, Luis Jennifer, additional, Jingfang, Ma, additional, Xiao-li, Sun, additional, Song, Xiaolian, additional, Chang Dong, Yeo, additional, Wei, Bu, additional, Bing, Han, additional, Jiawen, He, additional, Xiaogian, Huang, additional, Lili, Jia, additional, Hao, Li, additional, Xu, Li, additional, Sammi, Ma, additional, Ubaldo, Martin, additional, Ida, Miao, additional, Wendy, Min, additional, Mark, Odorisio, additional, Ailing, Song, additional, Cailian, Tang, additional, Hongxia, Wang, additional, Yiran, Wang, additional, Mark, White, additional, Peibei, Wu, additional, Ray, Wu, additional, Tijiao, Xia, additional, Junhui, Xie, additional, Xinzheng, Yu, additional, Zhengfang, Zhou, additional, Shuting, Zhu, additional, Albert, Albay, additional, Jianping, Bo, additional, Bi, Chen, additional, Lijun, Chen, additional, Mei, Chen, additional, Min, Chen, additional, Ping, Chen, additional, Zhimin, Chen, additional, Chih-Feng, Chian, additional, Sook, Cho You, additional, Xiuhua, Fu, additional, Xiwen, Gao, additional, Wei, Gu, additional, Wei, Han, additional, Zhihai, Han, additional, Wei, Hu Xi, additional, Kewu, Huang, additional, Mao, Huang, additional, Grace Dawn, Isidro Marie, additional, Inbeom, Jeong, additional, Luning, Jiang, additional, Mingyan, Jiang, additional, Shanping, Jiang, additional, Meiling, Jin, additional, Jian, Kang, additional, Woo, Kim Jin, additional, Sang-Ha, Kim, additional, Jiulong, Kuang, additional, Ping-Hung, Kuo, additional, Jie, Li, additional, Manxiang, Li, additional, Minjing, Li, additional, Ruoran, Li, additional, Wen, Li, additional, Xianhua, Li, additional, Yanming, Li, additional, Yong, Lim Seong, additional, Chuanhe, Liu, additional, Chuntao, Liu, additional, Jing, Liu, additional, Xiaoxia, Liu, additional, Huiyu, Lu, additional, Zhuang, Luo, additional, Shengxi, Ma, additional, Liangping, Mao, additional, Hoon, Min Kyung, additional, Lin, Mu, additional, Choon-Sik, Park, additional, Sim, Park Hae, additional, Hye-Kyung, Park, additional, Jung-Won, Park, additional, Diahn-Warng, Perng, additional, Ronnie, Samoro, additional, Guochao, Shi, additional, Debin, Sun, additional, Dejun, Sun, additional, Chun-Hua, Wang, additional, Guangfa, Wang, additional, Limin, Wang, additional, Xuefen, Wang, additional, Yan, Wang, additional, Liping, Wei, additional, Haihong, Wu, additional, Yi, Xiao, additional, Zuke, Xiao, additional, Canmao, Xie, additional, Jin-fu, Xu, additional, Xingxiang, Xu, additional, Xiyuan, Xu, additional, Jianping, Yan, additional, Hongzhong, Yang, additional, Joo, Yoon Ho, additional, Wencheng, Yu, additional, Jin, Zhang, additional, Longju, Zhang, additional, Min, Zhang, additional, Wei, Zhang, additional, Jianping, Zhao, additional, Ziwen, Zhao, additional, Xiaoli, Zhu, additional, Yingqun, Zhu, additional, Yutong, Lai, additional, Amanda, May, additional, Dipali, Shah, additional, Gang, Shen, additional, Conglong, Wang, additional, and Wenjiong, Zhou, additional

Published
2024
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