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Shi D, Liao N, Liu H, Gao W, Zhong S, Zheng C, Chen H, Xiao L, Zhu Y, Huang S, Zhang Y, Hu Y, Zheng Y, Ji J, Cheng J. Rapid Analysis of Compounds from Piperis Herba and Piperis Kadsurae Caulis and Their Differences Using High-Resolution Liquid-Mass Spectrometry and Molecular Network Binding Antioxidant Activity. Molecules 2024; 29:439. [PMID: 38257353 PMCID: PMC10821392 DOI: 10.3390/molecules29020439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 01/12/2024] [Accepted: 01/13/2024] [Indexed: 01/24/2024] Open
Abstract
There is a serious mixing of Piperis Herba and Piperis Kadsurae Caulis in various parts of China due to the similar traits of lianas, and there is a lack of systematic research on the compound and activity evaluation of the two. Likewise, the differences in compounds brought about by the distribution of origin also need to be investigated. In this study, high-resolution liquid-mass spectrometry (UPLC-Q-Zeno-TOF-MS/MS) was used to analyze samples of Piperis Herba from five origins and Piperis Kadsurae Caulis from five origins, with three batches collected from each origin. The compounds were identified based on precise molecular weights, secondary fragments, and an online database combined with node-to-node associations of the molecular network. The t-test was used to screen and analyze the differential compounds between the two. Finally, the preliminary evaluation of antioxidant activity of the two herbs was carried out using DPPH and ABTS free radical scavenging assays. The results showed that a total of 72 compounds were identified and deduced in the two Chinese medicines. These compounds included 54 amide alkaloids and 18 other compounds, such as flavonoid glycosides. The amide alkaloids among them were then classified, and the cleavage pathways in positive ion mode were summarized. Based on the p-value of the t-test, 32 differential compounds were screened out, and it was found that the compounds of Piperis Herba were richer and possessed a broader spectrum of antioxidant activity, thus realizing a multilevel distinction between Piperis Herba and Piperis Kadsurae Caulis. This study provides a preliminary reference for promoting standardization and comprehensive quality research of the resources of Piperis Herba using Piperis Kadsurae Caulis as a reference.
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Affiliation(s)
- Dezhi Shi
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Nanxi Liao
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Hualan Liu
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Wufeng Gao
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Shaohui Zhong
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Chao Zheng
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Haijie Chen
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
| | - Lianlian Xiao
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Yubo Zhu
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Shiwen Huang
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
| | - Yunyu Zhang
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Yang Hu
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Yunfeng Zheng
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Jing Ji
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
| | - Jianming Cheng
- College of Pharmacy, Nanjing University of Chinese Medicine, Nanjing 210023, China; (D.S.); (N.L.); (H.L.); (W.G.); (S.Z.); (C.Z.); (H.C.); (L.X.); (Y.Z.); (S.H.); (Y.Z.); (Y.H.); (Y.Z.)
- Jiangsu Province Engineering Research Center of Classical Prescription, Nanjing 210023, China
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Hu H, Wang T, Wei Y, Xu Z, Cao S, Fu L, Xu H, Mao X, Huang L. Non-destructive prediction of isoflavone and starch by hyperspectral imaging and deep learning in Puerariae Thomsonii Radix. FRONTIERS IN PLANT SCIENCE 2023; 14:1271320. [PMID: 37954990 PMCID: PMC10634472 DOI: 10.3389/fpls.2023.1271320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/03/2023] [Indexed: 11/14/2023]
Abstract
Accurate assessment of isoflavone and starch content in Puerariae Thomsonii Radix (PTR) is crucial for ensuring its quality. However, conventional measurement methods often suffer from time-consuming and labor-intensive procedures. In this study, we propose an innovative and efficient approach that harnesses hyperspectral imaging (HSI) technology and deep learning (DL) to predict the content of isoflavones (puerarin, puerarin apioside, daidzin, daidzein) and starch in PTR. Specifically, we develop a one-dimensional convolutional neural network (1DCNN) model and compare its predictive performance with traditional methods, including partial least squares regression (PLSR), support vector regression (SVR), and CatBoost. To optimize the prediction process, we employ various spectral preprocessing techniques and wavelength selection algorithms. Experimental results unequivocally demonstrate the superior performance of the DL model, achieving exceptional performance with mean coefficient of determination (R2) values surpassing 0.9 for all components. This research underscores the potential of integrating HSI technology with DL methods, thereby establishing the feasibility of HSI as an efficient and non-destructive tool for predicting the content of isoflavones and starch in PTR. Moreover, this methodology holds great promise for enhancing efficiency in quality control within the food industry.
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Affiliation(s)
- Huiqiang Hu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
- Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Tingting Wang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Yunpeng Wei
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Zhenyu Xu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Shiyu Cao
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Ling Fu
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China
| | - Huaxing Xu
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
| | - Xiaobo Mao
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
- Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Luqi Huang
- School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China
- Research Center for Intelligent Science and Engineering Technology of Traditional Chinese Medicine, Zhengzhou University, Zhengzhou, Henan, China
- State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
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