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Ma Y, Wei X, Xu J, Ji S, Yang F, Zeng A, Li Y, Cao J, Zhang J, Luo Z, Fu Q. Development of double-layer poly (amino acid) modified electrochemical sensor for sensitive and direct detection of betamethasone in cosmetics. Talanta 2024; 273:125855. [PMID: 38461643 DOI: 10.1016/j.talanta.2024.125855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 12/25/2023] [Accepted: 02/28/2024] [Indexed: 03/12/2024]
Abstract
Screening for illegal use of glucocorticoids (GCs) in cosmetics by electrochemical methods is extremely challenging due to the poor electrochemical activity of GCs. In this study, poly-L-Serine/poly-Taurine modified electrode (P(Tau)/P(L-Ser)/GCE) was prepared for sensitive and direct determination of betamethasone in cosmetics by a simple two-step in situ electropolymerization reaction. The relevant parameters of preparation and electroanalytical conditions were respectively studied, including the concentration of polymerization solution, the number of scanning circles and the scanning rate. The SEM and EDS mapping demonstrated successful preparation of P(Tau)/P(L-Ser)/GCE. The electro-catalytic properties of the obtained electrodes were investigated using cyclic voltammetry and differential pulse voltammetry methods, showing a remarkable improvement of sensitivity for the detection of betamethasone due to the synergic effect of both P(L-Ser) and P(Tau). In addition, we investigated the electrochemical reduction of betamethasone on the surface of modified electrode. It was found that the process was controlled by diffusion effect and involved the transfer of two electrons and two protons. Then the electrochemical sensor method based on P(Tau)/P(L-Ser)/GCE was established and delivered a linear response to betamethasone concentration from 0.5 to 20 μg mL-1 with a limit of detection of 32.2 ng mL-1, with excellent recoveries (98.1%-106.8%) and relative standard deviations (<4.8%). Furthermore, the established electrochemical sensor method was compared with conventional HPLC method. The results showed that both of them were comparable. Moreover, the established electrochemical sensor method was with the merits of short analysis time, environmentally friendly, low cost and easy to achieve in-site detection.
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Affiliation(s)
- Yirong Ma
- Department of Pharmaceutical Analysis, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Xinran Wei
- Department of Pharmaceutical Analysis, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Jiameng Xu
- Department of Pharmaceutical Analysis, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Shuhua Ji
- Department of Pharmaceutical Analysis, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Fan Yang
- Department of Pharmaceutical Analysis, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Aiguo Zeng
- Department of Pharmaceutical Analysis, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Yunzhe Li
- Department of Pharmaceutical Analysis, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China
| | - Jiliang Cao
- Department of Pharmaceutical Analysis, College of Pharmacy, Shenzhen Technology University, Shenzhen, 518118, China
| | - Jia Zhang
- Shaanxi Hanjiang Pharmaceutical Group Co., Ltd, Hanzhong, 723000, China
| | - Zhimin Luo
- Department of Pharmaceutical Analysis, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China.
| | - Qiang Fu
- Department of Pharmaceutical Analysis, School of Pharmacy, Xi'an Jiaotong University, Xi'an, 710061, China; Department of Pharmaceutical Analysis, College of Pharmacy, Shenzhen Technology University, Shenzhen, 518118, China.
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Lu Y, He Y, Wang X, Wang H, Qiu Q, Wu B, Wu X. Screening, characterization, and determination of suspected additives bimatoprost and latanoprost in cosmetics using NMR and LC-MS methods. Anal Bioanal Chem 2023:10.1007/s00216-023-04744-1. [PMID: 37219580 DOI: 10.1007/s00216-023-04744-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 05/07/2023] [Accepted: 05/10/2023] [Indexed: 05/24/2023]
Abstract
Recently, many new types of cosmetic illegal additives have been screened in the market. Most of the new additives were new drugs or analogues with very similar structures to other prohibited additives, which were difficult to be identified by liquid chromatography-mass spectrometry (LC-MS) only. Therefore, a new strategy is proposed, which is chromatographic separation combined with nuclear magnetic resonance spectroscopy (NMR) structural identification. The suspected samples were screened by ultra-high-performance liquid chromatography tandem high-resolution mass spectrometry (UPLC-Q-TOF-MS), followed by purification and extraction through silica-gel column chromatography and preparative high-performance liquid chromatography (HPLC). Finally, the extracts were identified unambiguously by NMR as bimatoprost and latanoprost, which were identified to be new cosmetic illegal additives in eyelash serums in China. Meanwhile, bimatoprost and latanoprost were quantified by high-performance liquid chromatography tandem triple quadrupole mass spectrum (HPLC-QQQ-MS/MS). The quantitative method demonstrated good linearity in the range of approximately 0.25-50 ng/mL (R2 > 0.9992), with limit of detection (LOD) and limit of quantification (LOQ) values of 0.01 and 0.03 mg/kg, respectively. The accuracy, precision, and reproducibility were confirmed to be acceptable.
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Affiliation(s)
- Yong Lu
- National Institutes for Food and Drug Control, Beijing, 100050, China
| | - Yu He
- National Institutes for Food and Drug Control, Beijing, 100050, China
| | - Xinran Wang
- National Institutes for Food and Drug Control, Beijing, 100050, China
| | - Haiyan Wang
- National Institutes for Food and Drug Control, Beijing, 100050, China
| | - Qianqian Qiu
- National Institutes for Food and Drug Control, Beijing, 100050, China
| | - Baojin Wu
- National Institutes for Food and Drug Control, Beijing, 100050, China
| | - Xianfu Wu
- National Institutes for Food and Drug Control, Beijing, 100050, China.
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Sheng Y, Xue Y, Wang J, Liu S, Jiang Y. Fast screening and identification of illegal adulteration in dietary supplements and herbal medicines using molecular networking with deep-learning-based similarity algorithms. Anal Bioanal Chem 2023:10.1007/s00216-023-04708-5. [PMID: 37119358 DOI: 10.1007/s00216-023-04708-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 04/18/2023] [Accepted: 04/19/2023] [Indexed: 05/01/2023]
Abstract
Liquid chromatography-high-resolution mass spectrometry (LC-HRMS) is a powerful analytical tool used for adulteration inspection. Nevertheless, it is a challenging task to identify illegal adulterants that are not included in the library or are unexpected from large MS data. Molecular networking is a good tool for exploring, visualizing, and organizing MS/MS spectra, and moreover, it employs shifted peak match to calculate spectral similarity, making it capable of identifying adulteration that is not included in the library. The key of molecular networking is spectral similarity algorithms, and therefore, in this study, we compared the performance of four cutting-edge similarity algorithms, modified cosine similarity (shifted peak match), entropy similarity, and two deep-learning-based algorithms, MS2DeepScore and Spec2Vec, in building molecular networking for identification of adulteration that is not included in the library. We conducted an analysis of excluded-query-compound on all MS/MS spectra in test library and performed a large-scale false discovery rate estimation to investigate whether the spectral similarity calculated by each algorithm could represent the actual structural similarity well. The obtained results demonstrated Spec2Vec exhibited good performance in both detection capability and false discovery rate. Further comprehensive evaluation of the performance of Spec2Vec in the identification of adulteration that is not included in the library or is unexpected in different matrices and in application to real samples proved the approach studied here is a promising and powerful tool for adulterant inspection and improved the capability of analyzing large MS data.
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Affiliation(s)
- Yanghao Sheng
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, China
- Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Ying Xue
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, China
- Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Jue Wang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, China
- Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Shao Liu
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Yueping Jiang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Institute for Rational and Safe Medication Practices, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
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Zhang L, Shen L, Zhong Q, Zhou T. Diluting modulation-based two dimensional-liquid chromatography coupled with mass spectrometry for simultaneously determining multiclass prohibited substances in cosmetics. J Chromatogr A 2023; 1695:463954. [PMID: 37011524 DOI: 10.1016/j.chroma.2023.463954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 03/16/2023] [Accepted: 03/26/2023] [Indexed: 03/29/2023]
Abstract
Developing efficient and comprehensive screening methods for prohibited substances in cosmetics is critical for ensuring the quality and safety of cosmetics used in everyday life. This study proposed a heart-cutting two-dimensional liquid chromatography-mass spectrometry (2D-LC-MS) method based on online diluting modulation for detecting multiclass prohibited substances in cosmetics. The 2D-LC-MS method combines HILIC and RPLC techniques. Compounds near the dead time that the first dimensional HILIC could not separate were transferred to the second dimensional RPLC by valve switch, achieving good separation with a wide range of polarities. Moreover, the online diluting modulation solved the problem of mobile phase incompatibility, realizing an excellent column-head focusing effect and reducing the loss of sensitivity. Besides, the first dimensional analysis did not restrict the flow rate of the second dimensional analysis owing to the diluting modulation. We demonstrated the 2D-LC-MS system by determining 126 prohibited substances in cosmetic products, including hormones, local anesthetics, anti-infectives, adrenergic agents, antihistamines, pesticides, and other chemicals. All correlation coefficients of the compounds were above 0.9950. The LODs and the LOQs ranged from 0.000259 ng/mL to 16.6 ng/mL and 0.000864 ng/mL to 55.3 ng/mL, respectively. The RSDs% for intra-day and inter-day precision were within 6% and 14%, respectively. Compared with conventional one-dimensional liquid chromatography methods, the established method expanded the analytical coverage of cosmetics-prohibited substances with reduced matrix effects for most compounds and improved sensitivity for polar analytes. The results indicated that the 2D-LC-MS method was a powerful tool for screening multiclass prohibited substances in cosmetics.
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Affiliation(s)
- Liping Zhang
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Lingling Shen
- Guangzhou Analytical Center, Analytical & Measuring Instruments Division, Shimadzu (China) Co., LTD, Guangzhou, 510010, China
| | - Qisheng Zhong
- Guangzhou Analytical Center, Analytical & Measuring Instruments Division, Shimadzu (China) Co., LTD, Guangzhou, 510010, China
| | - Ting Zhou
- School of Biology and Biological Engineering, South China University of Technology, Guangzhou, 510006, China.
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Advances on Hormones in Cosmetics: Illegal Addition Status, Sample Preparation, and Detection Technology. Molecules 2023; 28:molecules28041980. [PMID: 36838967 PMCID: PMC9959700 DOI: 10.3390/molecules28041980] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 02/11/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
Owing to the rapid development of the cosmetic industry, cosmetic safety has become the focus of consumers' attention. However, in order to achieve the desired effects in the short term, the illegal addition of hormones in cosmetics has emerged frequently, which could induce skin problems and even skin cancer after long-term use. Therefore, it is of great significance to master the illegal addition in cosmetics and effectively detect the hormones that may exist in cosmetics. In this review, we analyze the illegally added hormone types, detection values, and cosmetic types, as well as discuss the hormone risks in cosmetics for human beings, according to the data in unqualified cosmetics in China from 2017 to 2022. Results showed that although the frequency of adding hormones in cosmetics has declined, hormones are still the main prohibited substances in illegal cosmetics, especially facial masks. Because of the complex composition and the low concentration of hormones in cosmetics, it is necessary to combine efficient sample preparation technology with instrumental analysis. In order to give the readers a comprehensive overview of hormone analytical technologies in cosmetics, we summarize the advanced sample preparation techniques and commonly used detection techniques of hormones in cosmetics in the last decade (2012-2022). We found that ultrasound-assisted extraction, solid phase extraction, and microextraction coupled with chromatographic analysis are still the most widely used analytical technologies for hormones in cosmetics. Through the investigation of market status, the summary of sample pretreatment and detection technologies, as well as the discussion of their development trends in the future, our purpose is to provide a reference for the supervision of illegal hormone residues in cosmetics.
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Wang X, Wang H, Wu X, Lu Y. Characterization and determination of Benvitimod, an unknown risk substance in cosmetics, using nuclear magnetic resonance spectroscopy and HPLC-MS/MS. J Sep Sci 2022; 45:3652-3662. [PMID: 35822938 DOI: 10.1002/jssc.202200388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 06/27/2022] [Accepted: 07/09/2022] [Indexed: 11/06/2022]
Abstract
Ultra-high performance liquid chromatography-tandem high-resolution mass spectrometry, combined with preparative chromatography and nuclear magnetic resonance spectroscopy, a new method for identifying unknown risk substances structure in cosmetics has been established. Moreover, HPLC-MS/MS was developed for the determination of benvitimod in cosmetics. The sample was collected in Ultra-high performance liquid chromatography-tandem high-resolution mass spectrometry, the molecular formula of the unknown was obtained as C17 H18 O2 . After preparative chromatography enrichment and purification, the enriched compound was scanned by nuclear magnetic resonance spectroscopy, and the chemical structure of the unknown was confirmed as benvitimod. Subsequently, the separation was determined in multiple reaction monitoring mode. The results showed that the linearity of benvitimod was good in the range of 1∼100 μg/L with the correlation coefficient r2 >0.999; the limit of detection and quantification were 0.02 mg/kg and 0.067 mg/kg; the precision and stability were good; the average recoveries were 104.2%, 108.2% and 108.7% for low, medium and high spiked concentrations. Forty batches of cosmetics were screened, of which two batches were detected with illegal addition of benvitimod at 2.48 g/kg and 3.13 g/kg. The method effectively solved the loopholes in regulation and provided a research basis for the qualitative identification of structurally unknown compounds in cosmetics. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Xinran Wang
- National Institutes for Food and Drug Control/NMPA Key Laboratory for Researching and Evaluation of Cosmetics, Beijing, 100050, China
| | - Haiyan Wang
- National Institutes for Food and Drug Control/NMPA Key Laboratory for Researching and Evaluation of Cosmetics, Beijing, 100050, China
| | - Xianfu Wu
- National Institutes for Food and Drug Control/NMPA Key Laboratory for Researching and Evaluation of Cosmetics, Beijing, 100050, China
| | - Yong Lu
- National Institutes for Food and Drug Control/NMPA Key Laboratory for Researching and Evaluation of Cosmetics, Beijing, 100050, China
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TAN D, CUI J, SHE X. Excessive amounts of antifungal agent and preservatives were illegally added in an adulterated herbal product for kids. FOOD SCIENCE AND TECHNOLOGY 2022. [DOI: 10.1590/fst.88322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Chen S, Han F, Huang D, Meng J, Chu J, Wang M, Wang P. Fe 3O 4 magnetic nanoparticle-enhanced radiotherapy for lung adenocarcinoma via delivery of siBIRC5 and AS-ODN. J Transl Med 2021; 19:337. [PMID: 34372869 PMCID: PMC8351328 DOI: 10.1186/s12967-021-02971-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Accepted: 06/29/2021] [Indexed: 11/27/2022] Open
Abstract
Background Radiotherapy is the mainstay treatment for lung adenocarcinoma, yet remains highly susceptible to resistance. Fe3O4 magnetic nanoparticles (MNPs) possess the ability to induce biological therapeutic effects. Herein, the current study set out to explore the effects of Fe3O4 MNPs on radiosensitivity of lung adenocarcinoma cells. Methods Fe3O4 MNPs loaded with both negatively-charged small interfering RNA against baculoviral IAP repeat containing 5 (siBIRC5) and oligodeoxynucleotide antisense (AS-ODN) to generate co-delivery NPs, followed by evaluation. Gel retardation assay was further performed to determine the binding ability of Fe3O4 MNPs to AS-ODN/siBIRC5. The radiosensitizing effect of NPs on lung adenocarcinoma cells was determined in the absence or the presence of NPs or radiotherapy. A549 and H460 tumor-bearing mice were established, where tumor tissues were subjected to immunohistochemistry. Results NPs were successfully prepared and characterized. BIRC5 expression levels were augmented in tissues of lung cancer patients. Fe3O4 MNPs enhanced the uptake of siBIRC5 and AS-ODN by lung adenocarcinoma cells. The presence of NPs under magnetic field reduced the BIRC5 expression and elevated the DR5 expression in lung adenocarcinoma cells. Lung adenocarcinoma cells treated with NPs exhibited inhibited tumor cell migration and increased DNA damage. After magnetic field treatment, tumors were better suppressed in the tumor-bearing mice treated with NPs, followed by radiotherapy. Conclusion Findings obtained in our study indicated that Fe3O4 MNPs-targeted delivery of siBIRC5 and AS-ODN enhances radiosensitivity, providing an innovative solution for the current clinically existing lung adenocarcinoma patients with radiotherapy resistance with a low risk of toxicity. ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-02971-7.
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Affiliation(s)
- Shuzhen Chen
- Department of Nuclear Medicine, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, P.R. China
| | - Fushi Han
- Department of Nuclear Medicine, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, P.R. China
| | - Dongdong Huang
- Department of Emergency Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, P.R. China
| | - Jinqian Meng
- Department of Radiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, P.R. China
| | - Jiapeng Chu
- Department of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, P.R. China
| | - Meng Wang
- Department of Radiotherapy, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, P.R. China
| | - Peijun Wang
- Department of Radiology, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, P.R. China.
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Tang J, Shi M, Xu Y, Ju Z, Guan H, Lin J, Li G, Han H, Zhang T. Metabolite profiling of Shuganzhi tablets in rats and pharmacokinetics study of four bioactive compounds with liquid chromatography combined with electrospray ionization tandem mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2021; 1179:122827. [PMID: 34147874 DOI: 10.1016/j.jchromb.2021.122827] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 06/02/2021] [Accepted: 06/05/2021] [Indexed: 02/05/2023]
Abstract
Shuganzhi Tablets (SGZT) is developed on the basis of a clinical empirical formula as a hospital preparation for the treatment of fatty liver. In this study, a rapid and highly sensitive LC-MS/MS method was established and validated for simultaneous determination of ginsenoside Re, ginsenoside Rg1, notoginsenoside R1, naringin, specnuezhenide, emodin, polydatin, hesperidin and saikosaponin A in rat plasma. Multiple reaction monitoring mode played an important role in simultaneous quantitative analysis of multiple components. The analytes were separated by the action of an ACQUITY UPLC® BEH C18 column (2.1 × 50 mm, 1.7 μm) in five minutes. The validated LC-MS/MS method was successfully applied to the pharmacokinetic analysis of hesperidin, emodin, polydatin and naringin of SGZT in rat plasma after administration. A UHPLC system couple with a quadrupole combined with time of flight mass spectrometer was used for qualitatively analyzing of the composition of SGZT and its metabolites in serum, urine, bile and feces of rats. The results showed that a total of 65 components were detected in rat biological samples, including 10 prototype components and 55 metabolites. It was speculated that the ingredients of SGZT experienced mainly the following reactions in rats: phase I reaction such as hydrolysis, oxidation, hydroxylation, carboxylation and dehydroxylation and phase Ⅱ reaction such as glucuronidation and sulfation. These results provide useful information for the further study of its active ingredients.
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Affiliation(s)
- Jie Tang
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Mengge Shi
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Yan Xu
- School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Zhengcai Ju
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Huida Guan
- Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
| | - Jun Lin
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; Shanghai Fangxin Pharmaceutical Technology Company Limited, Shanghai 201611, China
| | - Gan Li
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
| | - Han Han
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
| | - Tong Zhang
- Experiment Center for Teaching and Learning, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China; School of Pharmacy, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
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