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Du J, Huang Z, Li C, Jiang L. Quantitative analysis of the illegal addition of Atenolol in Panax notoginseng based on NIR-MIR spectral data fusion and calibration transfer. RSC Adv 2024; 14:12428-12437. [PMID: 38633489 PMCID: PMC11022189 DOI: 10.1039/d3ra08183d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 04/09/2024] [Indexed: 04/19/2024] Open
Abstract
To address the issue of the common illegal addition of Atenolol in Panax notoginseng, we propose an approach that realizes multivariate calibration transfer between different particle sizes based on near-infrared (NIR) and mid-infrared (MIR) spectral data fusion. To achieve high prediction accuracy, we construct three data fusion schemes (full-spectrum fusion, feature-level fusion, and decision-level fusion) that combine NIR and MIR spectral data. Among three data fusion schemes, the feature-level fusion based on the UVE-SPA-PLS model for 120-mesh spectral data achieves optimal prediction accuracy. Here, a Piecewise Direct Standardization (PDS) algorithm has been applied to calibration transfer from 100-mesh and 80-mesh to 120-mesh to reduce the influence of particle size and improve the robustness of the model. The correlation coefficient (R2) of 100-mesh, and 80-mesh prediction sets can reach 0.9861 and 0.9823, respectively. The corresponding root mean square error (RMSE) are 0.1545 and 0.2045, respectively. This research provides a method for illegal additions in precious herbs and reduces the effect of particle size on spectral modeling, enabling high-precision quantitative detection. In addition, it has important application prospects in reducing experimental losses of precious medicinal materials and ensuring the safe use of Chinese and Western medicines, which provides an alternative method for non-destructive testing.
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Affiliation(s)
- Jie Du
- Nanjing Forestry University, College of Information Science and Technology Nanjing 210037 China
| | - Zhengwei Huang
- Nanjing Forestry University, College of Information Science and Technology Nanjing 210037 China
| | - Chun Li
- Nanjing Forestry University, College of Information Science and Technology Nanjing 210037 China
| | - Ling Jiang
- Nanjing Forestry University, College of Information Science and Technology Nanjing 210037 China
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2
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Chen H, Ding Z, Dai T, Lin J, Xu D, Xia F, Feng J, Shen G. Quantitative comparison and rapid discrimination of Panax notoginseng powder and Caulis clematidis armandii using NMR combined with pattern recognition. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023; 103:3766-3775. [PMID: 36222712 DOI: 10.1002/jsfa.12264] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 07/21/2022] [Accepted: 10/12/2022] [Indexed: 05/03/2023]
Abstract
BACKGROUND The market demand for Panax notoginseng (P. notoginseng) is growing rapidly because of its useful properties in food and medicine. However, the frequent adulteration of P. notoginseng seriously affects the health of consumers and is a great challenge to food safety. In this study, low- and high-field nuclear magnetic resonance (LF/HF-NMR) were applied to detect the transverse relaxation distribution of P. notoginseng contaminated with different ratios of Caulis clematidis armandii (CCA) and the components in P. notoginseng and CCA, respectively. RESULTS Fifty-seven kinds of major and minor components in P. notoginseng and CCA were identified and quantified from their high-resolution NMR spectra, and there were significant differences in ginsenosides, sucrose, and glucose between P. notoginseng and CCA. Furthermore, the partial least squares regression analysis results indicated that LF-NMR parameters (T21 and S21 ) changed linearly as the ratio of CCA increased, and these changes were attributed to the variations in polysaccharide and sucrose in adulterated P. notoginseng. CONCLUSION In the relaxation time-based pattern recognition models, the authentic P. notoginseng powder could be classified with 100% accuracy from adulterated P. notoginseng when the adulteration ratio was greater than 30%, demonstrating the possibility of LF-NMR, in combination with pattern recognition, for rapid discrimination of food authenticity. © 2022 Society of Chemical Industry.
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Affiliation(s)
- Honghai Chen
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China
| | - Zenan Ding
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China
| | - Tao Dai
- Department of Plastic Surgery, Third Affiliated Hospital of Henan University of Science and Technology, Luoyang, China
| | | | - Dunming Xu
- Technology Center of Xiamen Customs, Xiamen, China
| | - Feng Xia
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China
| | - Jianghua Feng
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China
| | - Guiping Shen
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen, China
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Raclariu-Manolică AC, Mauvisseau Q, de Boer HJ. Horizon scan of DNA-based methods for quality control and monitoring of herbal preparations. Front Pharmacol 2023; 14:1179099. [PMID: 37214460 PMCID: PMC10193163 DOI: 10.3389/fphar.2023.1179099] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 04/20/2023] [Indexed: 05/24/2023] Open
Abstract
Herbal medicines and preparations are widely used in healthcare systems globally, but concerns remain about their quality and safety. New herbal products are constantly being introduced to the market under varying regulatory frameworks, with no global consensus on their definition or characterization. These biologically active mixtures are sold through complex globalized value chains, which create concerns around contamination and profit-driven adulteration. Industry, academia, and regulatory bodies must collaborate to develop innovative strategies for the identification and authentication of botanicals and their preparations to ensure quality control. High-throughput sequencing (HTS) has significantly improved our understanding of the total species diversity within DNA mixtures. The standard concept of DNA barcoding has evolved over the last two decades to encompass genomic data more broadly. Recent research in DNA metabarcoding has focused on developing methods for quantifying herbal product ingredients, yielding meaningful results in a regulatory framework. Techniques, such as loop-mediated isothermal amplification (LAMP), DNA barcode-based Recombinase Polymerase Amplification (BAR-RPA), DNA barcoding coupled with High-Resolution Melting (Bar-HRM), and microfluidics-based methods, offer more affordable tests for the detection of target species. While target capture sequencing and genome skimming are considerably increasing the species identification resolution in challenging plant clades, ddPCR enables the quantification of DNA in samples and could be used to detect intended and unwanted ingredients in herbal medicines. Here, we explore the latest advances in emerging DNA-based technologies and the opportunities they provide as taxa detection tools for evaluating the safety and quality of dietary supplements and herbal medicines.
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Affiliation(s)
- Ancuța Cristina Raclariu-Manolică
- Stejarul Research Centre for Biological Sciences, National Institute of Research and Development for Biological Sciences, Piatra Neamț, Romania
- Natural History Museum, University of Oslo, Oslo, Norway
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Shah AP, Travadi T, Sharma S, Pandit R, Joshi C, Joshi M. Digital PCR: A Tool to Authenticate Herbal Products and Spices. Methods Mol Biol 2023; 2967:17-30. [PMID: 37608099 DOI: 10.1007/978-1-0716-3358-8_2] [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] [Indexed: 08/24/2023]
Abstract
Authentication of herbal products and spices is experiencing a resurgence using DNA-based molecular tools, mainly species-specific assays and DNA barcoding. However, poor DNA quality and quantity are the major demerits of conventional PCR and real-time quantitative PCR (qPCR), as herbal products and spices are highly enriched in secondary metabolites such as polyphenolic compounds. The third-generation digital PCR (dPCR) technology is a highly sensitive, accurate, and reliable method to detect target DNA molecules as it is less affected by PCR inhibiting secondary metabolites due to nanopartitions. Therefore, it can be certainly used for the detection of adulteration in herbal formulations. In dPCR, extracted DNA is subjected to get amplification in nanopartitions using target gene primers, the EvaGreen master mix, or fluorescently labeled targeted gene-specific probes. Here, we describe the detection of Carica papaya (CP) adulteration in Piper nigrum (PN) products using species-specific primers. We observed an increase in fluorescence signal as the concentration of target DNA increased in PN-CP blended formulations (mock controls). Using species-specific primers, we successfully demonstrated the use of dPCR in the authentication of medicinal botanicals.
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Affiliation(s)
- Abhi P Shah
- Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar, India
| | - Tasnim Travadi
- Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar, India
| | - Sonal Sharma
- Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar, India
| | - Ramesh Pandit
- Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar, India
| | - Chaitanya Joshi
- Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar, India
| | - Madhvi Joshi
- Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology, Government of Gujarat, Gandhinagar, India.
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Detection of Carica papaya Adulteration in Piper nigrum Using Chloroplast DNA Marker-Based PCR Assays. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02395-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Ji C, Zhang Q, Shi R, Li J, Wang X, Wu Z, Ma Y, Guo J, He X, Zheng W. Determination of the Authenticity and Origin of Panax Notoginseng: A Review. J AOAC Int 2022; 105:1708-1718. [DOI: 10.1093/jaoacint/qsac081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 06/13/2022] [Accepted: 06/16/2022] [Indexed: 11/13/2022]
Abstract
Abstract
Panax notoginseng, a traditional medicinal and edible plant, is widely used in medicine, health care, cosmetics, and other industries. Affected by the discrepancy between market supply and demand and price, the adulteration of P. notoginseng products with other plant-derived ingredients occurs at times. With the continuous development of technologies such as spectroscopy, chromatography, and DNA barcoding, the detection techniques for rapid and sensitive determination of the authenticity identification and origin of P. notoginseng have become more diversified to meet the needs of different regulatory goals and could effectively control practices that mislead consumers and promote false labeling. This review analyzes and summarizes the existing technologies for determining the authenticity and origin of P. notoginseng from these three aspects: morphological, chemical, and molecular biology methods from the literature since 2001; on this basis, the current problems and future research directions are discussed to provide a reference for the establishment of rapid and accurate methods to verify authenticity and origin to promote the further development and improvement of quality control technology systems for P. notoginseng.
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Affiliation(s)
- Chao Ji
- State Key Laboratory for Conservation and Utilization of Yunnan Biological Resources, Yunnan Agricultural University , Kunming 650201, China
| | - Qin Zhang
- Laboratory for Quality Control and Traceability of Food, Tianjin Normal University , Tianjin 300387, China
| | - Rui Shi
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Landscape Architecture Engineering Research Center of National Forestry and Grassland Administration, Southwest Forestry University , Kunming 650224, China
| | - Juan Li
- Laboratory for Quality Control and Traceability of Food, Tianjin Normal University , Tianjin 300387, China
| | - Xingyu Wang
- Laboratory for Quality Control and Traceability of Food, Tianjin Normal University , Tianjin 300387, China
| | - Zhiqiang Wu
- Laboratory for Quality Control and Traceability of Food, Tianjin Normal University , Tianjin 300387, China
| | - Ying Ma
- Laboratory for Quality Control and Traceability of Food, Tianjin Normal University , Tianjin 300387, China
| | - Junli Guo
- Laboratory for Quality Control and Traceability of Food, Tianjin Normal University , Tianjin 300387, China
| | - Xiahong He
- State Key Laboratory for Conservation and Utilization of Yunnan Biological Resources, Yunnan Agricultural University , Kunming 650201, China
- Key Laboratory for Forest Resources Conservation and Utilization in the Southwest Mountains of China, Ministry of Education, Southwest Landscape Architecture Engineering Research Center of National Forestry and Grassland Administration, Southwest Forestry University , Kunming 650224, China
| | - Wenjie Zheng
- State Key Laboratory for Conservation and Utilization of Yunnan Biological Resources, Yunnan Agricultural University , Kunming 650201, China
- Laboratory for Quality Control and Traceability of Food, Tianjin Normal University , Tianjin 300387, China
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Noviana E, Indrayanto G, Rohman A. Advances in Fingerprint Analysis for Standardization and Quality Control of Herbal Medicines. Front Pharmacol 2022; 13:853023. [PMID: 35721184 PMCID: PMC9201489 DOI: 10.3389/fphar.2022.853023] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Accepted: 04/26/2022] [Indexed: 01/01/2023] Open
Abstract
Herbal drugs or herbal medicines (HMs) have a long-standing history as natural remedies for preventing and curing diseases. HMs have garnered greater interest during the past decades due to their broad, synergistic actions on the physiological systems and relatively lower incidence of adverse events, compared to synthetic drugs. However, assuring reproducible quality, efficacy, and safety from herbal drugs remains a challenging task. HMs typically consist of many constituents whose presence and quantity may vary among different sources of materials. Fingerprint analysis has emerged as a very useful technique to assess the quality of herbal drug materials and formulations for establishing standardized herbal products. Rather than using a single or two marker(s), fingerprinting techniques take great consideration of the complexity of herbal drugs by evaluating the whole chemical profile and extracting a common pattern to be set as a criterion for assessing the individual material or formulation. In this review, we described and assessed various fingerprinting techniques reported to date, which are applicable to the standardization and quality control of HMs. We also evaluated the application of multivariate data analysis or chemometrics in assisting the analysis of the complex datasets from the determination of HMs. To ensure that these methods yield reliable results, we reviewed the validation status of the methods and provided perspectives on those. Finally, we concluded by highlighting major accomplishments and presenting a gap analysis between the existing techniques and what is needed to continue moving forward.
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Affiliation(s)
- Eka Noviana
- Departement of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia
| | | | - Abdul Rohman
- Departement of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia.,Center of Excellence, Institute for Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta, Indonesia
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Karppinen K, Avetisyan A, Hykkerud AL, Jaakola L. A dPCR Method for Quantitative Authentication of Wild Lingonberry ( Vaccinium vitis-idaea) versus Cultivated American Cranberry ( V. macrocarpon). Foods 2022; 11:1476. [PMID: 35627046 PMCID: PMC9141823 DOI: 10.3390/foods11101476] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Revised: 05/16/2022] [Accepted: 05/17/2022] [Indexed: 02/06/2023] Open
Abstract
Berries of the genus Vaccinium are highly valued health-beneficial superfoods, which are commonly subjected to adulteration and mixed with each other, or with other common berry species. A quantitative DNA-based method utilizing a chip-based digital polymerase chain reaction (dPCR) technique was developed for identifying and quantifying wild lingonberry (V. vitis-idaea) and cultivated American cranberry (V. macrocarpon). The dPCR method with species-specific primers for mini-barcoding was designed based on the indel regions found in the trnI-CAU-trnL-CAA locus in the chloroplast genome. The designed primers were able to amplify only target species, enabling to distinguish the two closely related species with good sensitivity. Our results illustrated the ability of the method to identify lingonberry and American cranberry DNA using PCR without the need for probes or further sequencing. The dPCR method could also quantify the DNA copy number in mixed samples. Based on this study, the method provides a basis for a simple, fast, and sensitive quantitative authentication analysis of lingonberry and American cranberry by dPCR. Moreover, it can also provide a platform for authentication analyses of other plant species as well by utilizing the indel regions of chloroplast genomes.
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Affiliation(s)
- Katja Karppinen
- Department of Arctic and Marine Biology, UiT the Arctic University of Norway, NO-9037 Tromsø, Norway; (K.K.); (A.A.)
| | - Anna Avetisyan
- Department of Arctic and Marine Biology, UiT the Arctic University of Norway, NO-9037 Tromsø, Norway; (K.K.); (A.A.)
- NIBIO, Norwegian Institute of Bioeconomy Research, Department of Horticulture, NO-1431 Ås, Norway;
| | - Anne Linn Hykkerud
- NIBIO, Norwegian Institute of Bioeconomy Research, Department of Horticulture, NO-1431 Ås, Norway;
| | - Laura Jaakola
- Department of Arctic and Marine Biology, UiT the Arctic University of Norway, NO-9037 Tromsø, Norway; (K.K.); (A.A.)
- NIBIO, Norwegian Institute of Bioeconomy Research, Department of Horticulture, NO-1431 Ås, Norway;
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An Efficient Droplet Digital PCR Approach for Detection DNA at Low Concentrations of Toxigenic Fungi in Food Products. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02236-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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10
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Yao CL, Wang J, Li ZW, Qu H, Pan HQ, Li JY, Wei WL, Zhang JQ, Bi QR, Guo DA. Characteristic Malonyl Ginsenosides from the Leaves of Panax notoginseng as Potential Quality Markers for Adulteration Detection. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:4849-4857. [PMID: 33849274 DOI: 10.1021/acs.jafc.1c00382] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Due to the high price and limited supply of Panax notoginseng, a large number of samples adulterated with the leaves appear in the market. A group of new malonyl ginsenosides were exclusively detected in the P. notoginseng leaves (PNL). Targeted isolation of the malonyl ginsenosides was guided by UPLC-QDa MS. HRMS, 1D/2D NMR, and chemical methods were used for structural identification. A selected ion monitoring method was developed based on UPLC-QDa MS to detect the adulterations. In addition, the anti-inflammatory activities and the collision-induced dissociation features of the isolated saponins were studied. As a result, eight new 3-OH malonylated dammarane-type triterpene oligoglycosides (notoginsenosides L3-L10) were obtained from PNL. Adulteration with PNL can be easily detected with limit of detection as low as 0.06%. To sum up, the isolated ginsenosides can be used as quality markers for fraud detection, which will promote the quality control of the notoginseng products.
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Affiliation(s)
- Chang-Liang Yao
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
| | - Jing Wang
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
| | - Zhen-Wei Li
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
| | - Hua Qu
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
| | - Hui-Qin Pan
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
| | - Jia-Yuan Li
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
| | - Wen-Long Wei
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
| | - Jian-Qing Zhang
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
| | - Qi-Rui Bi
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
| | - De-An Guo
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 501 Haike Road, Shanghai 201203, China
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