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Bai Y, Zhang H. The cluster analysis of traditional Chinese medicine authenticity identification technique assisted by chemometrics. Heliyon 2024; 10:e37479. [PMID: 39309934 PMCID: PMC11416282 DOI: 10.1016/j.heliyon.2024.e37479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 09/02/2024] [Accepted: 09/04/2024] [Indexed: 09/25/2024] Open
Abstract
This study explore the authenticity identification technique of traditional Chinese medicine (TCM) using chemometrics in conjunction with cluster analysis. A clustering Gaussian mixture model was constructed and applied for the data clustering analysis of four types of TCM. Chemical measurements combined with discrete wavelet transform (DWT), Fourier transform infrared spectroscopy (FTIR), and Fourier self-deconvolution (FSD) were utilized for the detailed differentiation of Bupleurum scorzonerifolium, Bupleurum yinchowense, Bupleurum marginatum, and Bupleurum smithii Wolff var. parvifolium. Differences in the attenuated total reflection-FTIR (ATR-FTIR) spectra among the four TCMs were observed. Utilizing clustering algorithms, the one-dimensional DWT of the infrared spectra of samples was employed for the authentication of Chinese herbal medicines. The model demonstrates optimal performance throughout 2000 rounds of network training. The accuracy (88.6 %), sensitivity (86.5 %), and specificity (82.7 %) of the model constructed in this study significantly surpassed those of the CNN model: accuracy (67.7 %), sensitivity (70.4 %), and specificity (68.5 %) (P < 0.05). By setting the cluster size K = 5 and the number of Gaussian mixture model components to 5, the model effectively fits the actual number of categories within the dataset. Infrared spectroscopy analysis revealed distinct carbon-oxygen stretching vibration absorption peaks between 1025 and 1200 cm-1 for Bupleurum scorzonerifolium, Bupleurum yinchowense, Bupleurum marginatum, and Bupleurum smithii Wolff var. parvifolium, indicating strong absorption peaks of carbohydrates. A comprehensive structural information analysis revealed a similarity of above 0.982 among the four types of TCM. Combined with chemometrics and intelligent algorithm-based cluster analysis, successful and accurate authentication of TCM authenticity was achieved, providing an effective methodology for quality control in TCM.
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Affiliation(s)
- Yunxia Bai
- College of Computer Science and Technology, Baotou Medical College, Baotou, 014040, China
| | - Huiwen Zhang
- College of Pharmacy, Inner Mongolia Medical University, Hohhot, 010110, China
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Ouyang Y, Cheng Q, Cheng C, Tang Z, Huang Y, Tan E, Ma S, Lin X, Xie Y, Zhou H. Effects of plants-associated microbiota on cultivation and quality of Chinese herbal medicines. CHINESE HERBAL MEDICINES 2024; 16:190-203. [PMID: 38706825 PMCID: PMC11064599 DOI: 10.1016/j.chmed.2022.12.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 10/24/2022] [Accepted: 12/29/2022] [Indexed: 02/05/2023] Open
Abstract
Microbial resource influences the life activities of medicinal plants from several perspectives. Endophytes, rhizosphere microorganisms, and other environmental microorganisms play essential roles in medicinal plant growth and development, plant yield, and clinical efficacy. The microbiota can influence the biosynthesis of active compounds in medicinal plants by stimulating specific metabolic pathways. They induce host plants to improve their resistance to environmental stresses by accumulating secondary metabolites. Microorganisms can interact with their host plants to produce long-term, targeted selection results and improve their ability to adapt to the environment. Due to the interdependence and interaction between microorganisms and medicinal plants, Chinese herbal medicines (CHMs) quality is closely related to the associated microorganisms. This review summarizes the relationship between medicinal plants and their associated microorganisms, including their species, distribution, life activities, and metabolites. Microorganisms can aid in quality control, improve the efficacy of medicinal plants, and provide markers for identifying the origin and storage time of CHMs. Therefore, a comprehensive understanding of the relationship between microorganisms and medicinal plants will help to control the quality of CHMs from different perspectives.
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Affiliation(s)
- Yue Ouyang
- Faculty of Chinese Medicine, Macau University of Science and Technology, Macao 999078, China
| | - Qiqing Cheng
- Faculty of Chinese Medicine, Macau University of Science and Technology, Macao 999078, China
- School of Pharmacy, Hubei University of Science and Technology, Xianning 437100, China
| | - Chunsong Cheng
- Key Laboratory of Plant Ex-situ Conservation and Research Center of Resource Plant, Lushan Botanical Garden, Chinese Academy of Sciences, Jiujiang 332900, China
| | - Ziyu Tang
- Faculty of Chinese Medicine, Macau University of Science and Technology, Macao 999078, China
| | - Yufeng Huang
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, State Key Laboratory of Dampness Syndrome of Chinese Medicine, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou 510006, China
| | - Eyu Tan
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, State Key Laboratory of Dampness Syndrome of Chinese Medicine, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou 510006, China
- Jiangmen Wuyi Hospital of Traditional Chinese Medicine, Jiangmen 529020, China
- Joint Laboratory for Translational Cancer Research of Chinese Medicine, Ministry of Education, Guangzhou University of Chinese Medicine, Guangzhou 510006, China
| | - Shaofeng Ma
- Jiangmen Wuyi Hospital of Traditional Chinese Medicine, Jiangmen 529020, China
| | - Xinheng Lin
- Jiangmen Wuyi Hospital of Traditional Chinese Medicine, Jiangmen 529020, China
| | - Ying Xie
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, State Key Laboratory of Dampness Syndrome of Chinese Medicine, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou 510006, China
- Faculty of Chinese Medicine, Macau University of Science and Technology, Macao 999078, China
| | - Hua Zhou
- Guangdong Provincial Hospital of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, State Key Laboratory of Dampness Syndrome of Chinese Medicine, Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou 510006, China
- Faculty of Chinese Medicine, Macau University of Science and Technology, Macao 999078, China
- Joint Laboratory for Translational Cancer Research of Chinese Medicine, Ministry of Education, Guangzhou University of Chinese Medicine, Guangzhou 510006, China
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An YL, Li Y, Wei WL, Li ZW, Zhang JQ, Yao CL, Li JY, Bi QR, Qu H, Pan H, Zhou H, Ji S, Guo DA. Species discrimination of multiple botanical origins of Fritillaria species based on infrared spectroscopy, thin layer chromatography-image analysis and untargeted metabolomics. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2024; 123:155228. [PMID: 38006808 DOI: 10.1016/j.phymed.2023.155228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 11/08/2023] [Accepted: 11/18/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Fritillaria Bulbus (FB), a precious medicinal herb renowned for its heat-clearing, lung-moistening, cough-relieving and phlegm-eliminating effects. In pursuit of profits, unscrupulous merchants have engaged in the substitution or adulteration of valuable varieties with cheaper alternatives. It is, therefore, urgent to develop effective technical approaches to identify FBs from adulterants. METHODS This paper employed infrared spectroscopy (IR), thin layer chromatography-image analysis (TLC-IA), and untargeted metabolomics techniques to discriminate ten species of FBs. RESULTS Five species of FBs were successfully differentiated using mid-infrared spectroscopy. Furthermore, the power of TLC-IA technology allowed the differentiation of five species of FBs and two origins of FCBs (Fritillariae Cirrhosae Bulbus). Remarkably, through the application of untargeted metabolomics technique, the precise discrimination of five species of FBs, as well as three origins of FCBs were accomplished. Moreover, a comprehensive identification of 101 markers that reliably distinguished diverse FBs was achieved through the employment of untargeted metabolomics technique. CONCLUSION The investigation presented powerful means of detection for assuring the quality control of Fritillaria herbs.
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Affiliation(s)
- Ya-Ling An
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China; University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China
| | - Yun Li
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China
| | - Wen-Long Wei
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China
| | - Zhen-Wei Li
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China
| | - Jian-Qing Zhang
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China
| | - Chang-Liang Yao
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China
| | - Jia-Yuan Li
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China
| | - Qi-Rui Bi
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China
| | - Hua Qu
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China
| | - Huiqin Pan
- Shanghai Institute for Food and Drug Control, Zhangheng RD1500, Shanghai 201112, China
| | - Heng Zhou
- Shanghai Institute for Food and Drug Control, Zhangheng RD1500, Shanghai 201112, China
| | - Shen Ji
- Shanghai Institute for Food and Drug Control, Zhangheng RD1500, Shanghai 201112, China
| | - De-An Guo
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Haike Road 501, Shanghai 201203, China; University of Chinese Academy of Sciences, No.19A Yuquan Road, Beijing 100049, China.
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Xu F, Valappil AK, Mathiyalagan R, Tran TNA, Ramadhania ZM, Awais M, Yang DC. In Vitro Cultivation and Ginsenosides Accumulation in Panax ginseng: A Review. PLANTS (BASEL, SWITZERLAND) 2023; 12:3165. [PMID: 37687411 PMCID: PMC10489967 DOI: 10.3390/plants12173165] [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: 06/30/2023] [Revised: 08/03/2023] [Accepted: 08/10/2023] [Indexed: 09/10/2023]
Abstract
The use of in vitro tissue culture for herbal medicines has been recognized as a valuable source of botanical secondary metabolites. The tissue culture of ginseng species is used in the production of bioactive compounds such as phenolics, polysaccharides, and especially ginsenosides, which are utilized in the food, cosmetics, and pharmaceutical industries. This review paper focuses on the in vitro culture of Panax ginseng and accumulation of ginsenosides. In vitro culture has been applied to study organogenesis and biomass culture, and is involved in direct organogenesis for rooting and shooting from explants and in indirect morphogenesis for somatic embryogenesis via the callus, which is a mass of disorganized cells. Biomass production was conducted with different types of tissue cultures, such as adventitious roots, cell suspension, and hairy roots, and subsequently on a large scale in a bioreactor. This review provides the cumulative knowledge of biotechnological methods to increase the ginsenoside resources of P. ginseng. In addition, ginsenosides are summarized at enhanced levels of activity and content with elicitor treatment, together with perspectives of new breeding tools which can be developed in P. ginseng in the future.
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Affiliation(s)
- Fengjiao Xu
- Graduate School of Biotechnology, College of Life Sciences, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea; (F.X.); (T.N.A.T.); (Z.M.R.); (M.A.)
| | - Anjali Kariyarath Valappil
- Department of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea; (A.K.V.); (R.M.)
| | - Ramya Mathiyalagan
- Department of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea; (A.K.V.); (R.M.)
| | - Thi Ngoc Anh Tran
- Graduate School of Biotechnology, College of Life Sciences, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea; (F.X.); (T.N.A.T.); (Z.M.R.); (M.A.)
| | - Zelika Mega Ramadhania
- Graduate School of Biotechnology, College of Life Sciences, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea; (F.X.); (T.N.A.T.); (Z.M.R.); (M.A.)
| | - Muhammad Awais
- Graduate School of Biotechnology, College of Life Sciences, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea; (F.X.); (T.N.A.T.); (Z.M.R.); (M.A.)
| | - Deok Chun Yang
- Graduate School of Biotechnology, College of Life Sciences, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea; (F.X.); (T.N.A.T.); (Z.M.R.); (M.A.)
- Department of Biopharmaceutical Biotechnology, College of Life Science, Kyung Hee University, Yongin-si 17104, Gyeonggi-do, Republic of Korea; (A.K.V.); (R.M.)
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Ji C, Lu Y, Li J, Hua MZ, Xie Y, Ma Y, Shi R, Zhao L, Yang M, He X, Zheng W, Lu X. Determination of Dencichine in Panax notoginseng in the Forest and Field Using High Performance Liquid Chromatography. ACS OMEGA 2023; 8:27450-27457. [PMID: 37546611 PMCID: PMC10399182 DOI: 10.1021/acsomega.3c02962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 06/22/2023] [Indexed: 08/08/2023]
Abstract
Dencichine is a nonprotein amino acid, an effective ingredient in Panax notoginseng with hemostatic and anti-inflammatory effects. There are few studies on the effects of regions and cultivation models on the accumulation of dencichine. In the current study, the content of dencichine in P. notoginseng collected from its global cultivation and trading center Yunnan, China, (>640 samples) was determined using an optimized high-performance liquid chromatography method coupled with a diode array detector but without derivatization. The recovery rate of this method was 80-110%, the relative standard deviation was <10%, and the limits of detection and quantification were 0.003% (w/w) and 0.01% (w/w), respectively. The content of dencichine in each part of P. notoginseng was as follows: rootlets (39.59%) > main roots (29.91%) > leaves (16.21%) > stems (14.29%). For leaves, P. notoginseng in the forest (5.52 ± 2.26 mg/g) was significantly higher than that in the field (3.93 ± 1.72 mg/g) but opposite for main roots. The origins and altitudes made different contributions to the accumulation of dencichine in P. notoginseng. This study provides an effective analytical method to determine dencichines in various parts of P. notoginseng from different origins and altitudes and supports quality control and product development of P. notoginseng.
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Affiliation(s)
- Chao Ji
- Laboratory
for Quality Control and Traceability of Food and Agricultural Products, Tianjin Normal University, Tianjin 300387, China
| | - Yuxiao Lu
- Department
of Food Science and Agricultural Chemistry, Faculty of Agricultural
and Environmental Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec H9X 3 V9, Canada
| | - Juan Li
- Laboratory
for Quality Control and Traceability of Food and Agricultural Products, Tianjin Normal University, Tianjin 300387, China
| | - Marti Z. Hua
- Department
of Food Science and Agricultural Chemistry, Faculty of Agricultural
and Environmental Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec H9X 3 V9, Canada
| | - Yuxin Xie
- Laboratory
for Quality Control and Traceability of Food and Agricultural Products, Tianjin Normal University, Tianjin 300387, China
| | - Ying Ma
- Laboratory
for Quality Control and Traceability of Food and Agricultural Products, 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, Yunnan 650224, China
| | - Liangjuan Zhao
- The
Animal, Plant & Foodstuff Inspection Center of Tianjin Customs, Tianjin 300387, China
| | - Min Yang
- State
Key Laboratory for Conservation and Utilization of Bio-Resources in
Yunnan, National Engineering Research Center for Applied Technology
of Agricultural Biodiversity, College of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan 650201, China
| | - Xiahong He
- 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, Yunnan 650224, China
- State
Key Laboratory for Conservation and Utilization of Bio-Resources in
Yunnan, National Engineering Research Center for Applied Technology
of Agricultural Biodiversity, College of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan 650201, China
| | - Wenjie Zheng
- Laboratory
for Quality Control and Traceability of Food and Agricultural Products, Tianjin Normal University, Tianjin 300387, 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, Yunnan 650224, China
- State
Key Laboratory for Conservation and Utilization of Bio-Resources in
Yunnan, National Engineering Research Center for Applied Technology
of Agricultural Biodiversity, College of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan 650201, China
| | - Xiaonan Lu
- Department
of Food Science and Agricultural Chemistry, Faculty of Agricultural
and Environmental Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec H9X 3 V9, Canada
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Ji R, Garran TA, Luo Y, Cheng M, Ren M, Zhou X. Untargeted Metabolomic Analysis and Chemometrics to Identify Potential Marker Compounds for the Chemical Differentiation of Panax ginseng, P. quinquefolius, P. notoginseng, P. japonicus, and P. japonicus var. major. Molecules 2023; 28:molecules28062745. [PMID: 36985717 PMCID: PMC10052814 DOI: 10.3390/molecules28062745] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Revised: 03/14/2023] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
The Panax L. genus is well-known for many positive physiological effects on humans, with major species including P. ginseng, P. quinquefolius, P. notoginseng, P. japonicus, and P. japonicus var. major, the first three of which are globally popular. The combination of UPLC-QTOF-MS and chemometrics were developed to profile "identification markers" enabling their differentiation. The establishment of reliable biomarkers that embody the intrinsic metabolites differentiating species within the same genus is a key in the modernization of traditional Chinese medicine. In this work, the metabolomic differences among these five species were shown, which is critical to ensure their appropriate use. Consequently, 49 compounds were characterized, including 38 identified robust biomarkers, which were mainly composed of saponins and contained small amounts of amino acids and fatty acids. VIP (projection variable importance) was used to identify these five kinds of ginseng. In conclusion, by illustrating the similarities and differences between the five species of ginseng with the use of an integrated strategy of combining UPLC-QTOF-MS and multivariate analysis, we provided a more efficient and more intelligent manner for explaining how the species differ and how their secondary metabolites affect this difference. The most important biomarkers that distinguished the five species included Notoginsenoside-R1, Majonoside R1, Vinaginsenoside R14, Ginsenoside-Rf, and Ginsenoside-Rd.
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Affiliation(s)
- Ruifeng Ji
- State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Thomas Avery Garran
- State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Yilu Luo
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Meng Cheng
- State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Mengyue Ren
- School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Xiuteng Zhou
- State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
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Liu Z, Wang W, Liu X. Automated characterization and identification of microplastics through spectroscopy and chemical imaging in combination with chemometric: Latest developments and future prospects. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.116956] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
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An YL, Wei WL, Guo DA. Application of Analytical Technologies in the Discrimination and Authentication of Herbs from Fritillaria: A Review. Crit Rev Anal Chem 2022; 54:1775-1796. [PMID: 36227577 DOI: 10.1080/10408347.2022.2132374] [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: 10/17/2022]
Abstract
Medicinal plants of Fritillaria are widely distributed in numerous countries around the world and possess excellent antitussive and expectorant effects. In particular, Fritillariae Bulbus (FB) as a precious traditional medicine has thousands of years of medical history in China. Herbs of Fritillaria have a high market value and demand while limited by harsh growing circumstances and scarce wild resources. As a consequence, fraudulent behaviors are regularly engaged by the unscrupulous merchants in an attempt to reap greater profits. It is of an urgent need to evaluate the quality of Fritillaria herbs and their products using various analytical instruments and techniques. This review has scrutinized approximately 160 articles from 1995 to 2022 published on the investigation of Fritillaria herbs and related herbal products. The botanical classification of genus Fritillaria, types of counterfeits, technologies applied for differentiating Fritillaria species were comprehensively summarized and discussed in the current review. Molecular and chromatographic identification were the dominant technologies in the authentication of Fritillaria herbs. Additionally, we brought some potential and promising technologies and analytical strategies into attention, which are worthy attempting in the future researches. This review could conduce to excellent reference value for further investigations of the authenticity assessment of Fritillaria species.
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Affiliation(s)
- Ya-Ling An
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wen-Long Wei
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - De-An Guo
- Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
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Liu H, Liu H, Li J, Wang Y. Review of Recent Modern Analytical Technology Combined with Chemometrics Approach Researches on Mushroom Discrimination and Evaluation. Crit Rev Anal Chem 2022; 54:1560-1583. [PMID: 36154534 DOI: 10.1080/10408347.2022.2124839] [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: 10/14/2022]
Abstract
Mushroom is a macrofungus with precious fruiting body, as a food, a tonic, and a medicine, human have discovered and used mushrooms for thousands of years. Nowadays, mushroom is also a "super food" recommended by the World Health Organization (WHO) and Food and Agriculture Organization (FAO), and favored by consumers. Discrimination of mushroom including species, geographic origin, storage time, etc., is an important prerequisite to ensure their edible safety and commodity quality. Moreover, the effective evaluation of its chemical composition can help us better understand the nutritional properties of mushrooms. Modern analytical technologies such as chromatography, spectroscopy and mass spectrometry, etc., are widely used in the discrimination and evaluation researches of mushrooms, and chemometrics is an effective means of scientifically processing the multidimensional information hidden in these analytical technologies. This review will outline the latest applications of modern analytical technology combined with chemometrics in qualitative and quantitative analysis and quality control of mushrooms in recent years. Briefly describe the basic principles of these technologies, and the analytical processes of common chemometrics in mushroom researches will be summarized. Finally, the limitations and application prospects of chromatography, spectroscopy and mass spectrometry technology are discussed in mushroom quality control and evaluation.
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Affiliation(s)
- Hong Liu
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Honggao Liu
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
- Zhaotong University, Zhaotong, China
| | - Jieqing Li
- College of Agronomy and Biotechnology, Yunnan Agricultural University, Kunming, China
| | - Yuanzhong Wang
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
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Li L, Zuo Z, Wang Y. Practical Qualitative Evaluation and Screening of Potential Biomarkers for Different Parts of Wolfiporia cocos Using Machine Learning and Network Pharmacology. Front Microbiol 2022; 13:931967. [PMID: 35875572 PMCID: PMC9304917 DOI: 10.3389/fmicb.2022.931967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/09/2022] [Indexed: 11/26/2022] Open
Abstract
Wolfiporia cocos is a widely used traditional Chinese medicine and dietary supplement. Artificial intelligence algorithms use different types of data based on the different strategies to complete multiple tasks such as search and discrimination, which has become a trend to be suitable for solving massive data analysis problems faced in network pharmacology research. In this study, we attempted to screen the potential biomarkers in different parts of W. cocos from the perspective of measurability and effectiveness based on fingerprint, machine learning, and network pharmacology. Based on the conclusions drawn from the results, we noted the following: (1) exploratory analysis results showed that differences between different parts were greater than those between different regions, and the partial least squares discriminant analysis and residual network models were excellent to identify Poria and Poriae cutis based on Fourier transform near-infrared spectroscopy spectra; (2) from the perspective of effectiveness, the results of network pharmacology showed that 11 components such as dehydropachymic acid and 16α-hydroxydehydrotrametenolic acid, and so on had high connectivity in the “component-target-pathway” network and were the main active components. (3) From a measurability perspective, through orthogonal partial least squares discriminant analysis and the variable importance projection > 1, it was confirmed that three components, namely, dehydrotrametenolic acid, poricoic acid A, and pachymic acid, were the main potential biomarkers based on high-performance liquid chromatography. (4) The content of the three components in Poria was significantly higher than that in Poriae cutis. (5) The integrated analysis showed that dehydrotrametenolic acid, poricoic acid A, and pachymic acid were the potential biomarkers for Poria and Poriae cutis. Overall, this approach provided a novel strategy to explore potential biomarkers with an explanation for the clinical application and reasonable development and utilization in Poria and Poriae cutis.
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Affiliation(s)
- Lian Li
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, China
| | - ZhiTian Zuo
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
- *Correspondence: ZhiTian Zuo
| | - YuanZhong Wang
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
- YuanZhong Wang
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Zhang C, Liu M, Xu X, Wu J, Li X, Wang H, Gao X, Guo D, Tian X, Yang W. Application of Large-Scale Molecular Prediction for Creating the Preferred Precursor Ions List to Enhance the Identification of Ginsenosides from the Flower Buds of Panax ginseng. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:5932-5944. [PMID: 35503923 DOI: 10.1021/acs.jafc.2c01435] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
This work was designed to evaluate the coverage of data-dependent acquisition (DDA) extensively utilized in the untargeted metabolite/component identification in the food sciences and pharmaceutical analysis. Using saponins from the flower buds of Panax ginseng (PGF) as an example, precursor ions list (PIL)-including DDA on a Q-Orbitrap mass spectrometer could enable higher coverage than the other four MS2 acquisition approaches in characterizing PGF ginsenosides. A "Virtual Library of Ginsenoside" containing 13,536 ginsenoside molecules was established by C-language-programmed large-scale molecular prediction, which in combination with mass defect filtering could create a new PIL involving 1859 PGF saponin precursors. We could newly obtain the MS2 spectra of at least 17 components and characterize 36 ginsenosides with unknown masses, among the 164 compounds identified from PGF. Conclusively, a molecular-prediction-oriented PIL in DDA can assist to discover more potentially novel molecules benefiting to the development of functional foods and new drugs.
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Affiliation(s)
- Chunxia Zhang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Meiyu Liu
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Xiaoyan Xu
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Jia Wu
- Shanghai Standard Technology Co., Ltd., 58 Xinhao Road, Shanghai 201314, China
| | - Xue Li
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Hongda Wang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Xiumei Gao
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
- Key Laboratory of Pharmacology of Traditional Chinese Medical Formulae, Ministry of Education, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Dean 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
| | - Xiaoxuan Tian
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Wenzhi Yang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
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12
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Multi-Element Analysis and Origin Discrimination of Panax notoginseng Based on Inductively Coupled Plasma Tandem Mass Spectrometry (ICP-MS/MS). MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27092982. [PMID: 35566332 PMCID: PMC9105934 DOI: 10.3390/molecules27092982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 04/29/2022] [Accepted: 05/03/2022] [Indexed: 11/16/2022]
Abstract
Panax notoginseng is an important functional health product, and has been used worldwide because of a wide range of pharmacological activities, of which the taproot is the main edible or medicinal part. However, the technologies for origin discrimination still need to be further studied. In this study, an ICP-MS/MS method for the accurate determination of 49 elements was established, whereby the instrumental detection limits (LODs) were between 0.0003 and 7.716 mg/kg, whereas the quantification limits (LOQs) were between 0.0011 and 25.7202 mg/kg, recovery of the method was in the range of 85.82% to 104.98%, and the relative standard deviations (RSDs) were lower than 10%. Based on the content of multi-element in P. notoginseng (total of 89 mixed samples), the discriminant models of origins and cultivation models were accurately determined by the neural networks (prediction accuracy was 0.9259 and area under ROC curve was 0.9750) and the support vector machine algorithm (both 1.0000), respectively. The discriminant models established in this study could be used to support transparency and traceability of supply chains of P. notoginseng and thus avoid the fraud of geographic identification.
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Liu J, Wang HD, Yang FF, Chen BX, Li X, Huang QX, Li J, Li XY, Li Z, Yu HS, Guo DA, Yang WZ. Multi-level fingerprinting and cardiomyocyte protection evaluation for comparing polysaccharides from six Panax herbal medicines. Carbohydr Polym 2022; 277:118867. [PMID: 34893272 DOI: 10.1016/j.carbpol.2021.118867] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 10/16/2021] [Accepted: 11/04/2021] [Indexed: 02/06/2023]
Abstract
The role of polysaccharides in quality control of ginseng is underestimated. Large-scale comparison on the polysaccharides of Panax ginseng (PG), P. quinquefolius (PQ), P. notoginseng (PN), Red ginseng (RG), P. japonicus (ZJS), and P. japonicus var. major (ZZS), was performed by both chemical and biological approaches. Holistic fingerprinting at polysaccharide and the hydrolyzed oligosaccharide and monosaccharide levels utilized various chromatography methods, while OGD and OGD/R models on H9c2 cells were introduced to evaluate the protective effects on cell viability and mitochondrial function. Polysaccharides from six ginseng species exhibited remarkable content difference (RG > PG/ZZS/ZJS/PQ > PN), but weak differentiations in molecular weight distribution and oligosaccharide profiles, while Glc and GalA were richer for monosaccharide compositions of PG and RG polysaccharides, respectively. RG polysaccharides (25/50/100 μg/mL) showed significant cardiomyocyte protection by regulating mitochondrial functions. These new evidences may provide support for the supplementary role of polysaccharides in quality control of ginseng.
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Affiliation(s)
- Jie Liu
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Hong-da Wang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Fei-Fei Yang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Bo-Xue Chen
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Xue Li
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China
| | - Qing-Xia Huang
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China
| | - Jing Li
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China
| | - Xiang-Yan Li
- Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, China
| | - Zheng Li
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China; College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - He-Shui Yu
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China; College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - De-An Guo
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China; 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-Zhi Yang
- State Key Laboratory of Component-based Chinese Medicine, Tianjin Key Laboratory of TCM Chemistry and Analysis, Tianjin University of Traditional Chinese Medicine, 10 Poyanghu Road, Jinghai, Tianjin 301617, China.
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Zhang H, Zhou F, Li F, Zhao C, Wang H, Yu H, Bie S, Suo T, Li Z, Li G, Wang C. Quality differentiation method of similar phytomedicines with high sugar content based on the sugar-marker: Taking Schisandrae Chinensis Fructus and Schisandrae Sphenantherae Fructus as an example. ARAB J CHEM 2022. [DOI: 10.1016/j.arabjc.2022.103727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Liu Z, Yang MQ, Zuo Y, Wang Y, Zhang J. Fraud Detection of Herbal Medicines Based on Modern Analytical Technologies Combine with Chemometrics Approach: A Review. Crit Rev Anal Chem 2021; 52:1606-1623. [PMID: 33840329 DOI: 10.1080/10408347.2021.1905503] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Fraud in herbal medicines (HMs), commonplace throughout human history, is significantly related to medicinal effects with sometimes lethal consequences. Major HMs fraud events seem to occur with a certain regularity, such as substitution by counterfeits, adulteration by addition of inferior production-own materials, adulteration by chemical compounds, and adulteration by addition of foreign matter. The assessment of HMs fraud is in urgent demand to guarantee consumer protection against the four fraudulent activities. In this review, three analysis platforms (targeted, non-targeted, and the combination of non-targeted and targeted analysis) were introduced and summarized. Furthermore, the integration of analysis technology and chemometrics method (e.g., class-modeling, discrimination, and regression method) have also been discussed. Each integration shows different applicability depending on their advantages, drawbacks, and some factors, such as the explicit objective analysis or the nature of four types of HMs fraud. In an attempt to better solve four typical HMs fraud, appropriate analytical strategies are advised and illustrated with several typical studies. The article provides a general workflow of analysis methods that have been used for detection of HMs fraud. All analysis technologies and chemometrics methods applied can conduce to excellent reference value for further exploration of analysis methods in HMs fraud.
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Affiliation(s)
- Zhimin Liu
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China.,School of Agriculture, Yunnan University, Kunming, China
| | - Mei Quan Yang
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Yingmei Zuo
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Yuanzhong Wang
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
| | - Jinyu Zhang
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, China
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Yue J, Li Z, Zuo Z, Liao Y, Huang H, Wang Y. Geographical traceability and multielement analysis of edible and medicinal fungi: Taking Wolfiporia cocos (F.A. Wolf) Ryvarden and Gilb. as an example. J Food Sci 2021; 86:770-778. [PMID: 33586786 DOI: 10.1111/1750-3841.15649] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 01/06/2021] [Accepted: 01/21/2021] [Indexed: 02/01/2023]
Abstract
Different geographical environment has a certain influence on the accumulation of fungi elements and chemical components. However, our knowledge is limited to elucidate the fungi elements in response to heterogeneous environmental and the quality differences among different habitats. Here, multielement analysis, FTIR spectrum, and feature-level fusion technique combined with chemometrics were used to study Wolfiporia cocos from different geographical areas, different sampling sites and different altitude sources. From the results, (1) there is significant difference in element content of samples from different sampling sites and no positive correlation with geographical ranges. (2) There is a correlation between elevation and elements, and relatively low elevation (<1,800 m) is conducive to the enrichment of elements. (3) From the perspective of elements, the W. cocos in Yuxi have relatively better quality. (4) FTIR and feature-level models can well realize origin identification. The SVM models are better than the PLS-DA models, and the feature-level model is better than the single FTIR models. In summary, this study demonstrated that the developed method was reliable and could realize the genuineness evaluation and origin identification of W. cocos. The results have implications for the establishment of the technology system of geographical traceability and the development of high-quality geographical indication products of W. cocos.
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Affiliation(s)
- JiaQi Yue
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, 650500, China.,Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
| | - ZhiMin Li
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
| | - ZhiTian Zuo
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
| | - YiJun Liao
- School of Materials and Environmental Engineering, Chengdu Technological University, Chengdu, 611730, China
| | - HengYu Huang
- College of Traditional Chinese Medicine, Yunnan University of Chinese Medicine, Kunming, 650500, China
| | - YuanZhong Wang
- Medicinal Plants Research Institute, Yunnan Academy of Agricultural Sciences, Kunming, 650200, China
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