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Ichim MC, Scotti F, Booker A. Quality evaluation of commercial herbal products using chemical methods. Crit Rev Food Sci Nutr 2022; 64:4219-4239. [PMID: 36315039 DOI: 10.1080/10408398.2022.2140120] [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: 11/03/2022]
Abstract
Herbal products comprise a wide spectrum of locally, nationally or internationally commercialized commodities. As these products have an increasingly important position in healthcare systems worldwide, a detailed product quality assessment is of crucial importance. For the quality evaluation of commercial herbal products, a wide range of methods were used, from simpler, quicker, and cost-effective HPTLC, to hyphenated methods with MS or NMR, where more precise quantification or specific structural information is required. Additionally, most of the methods have been coupled with chemometric tools, such as PCA, or PDA, for the multivariate analysis of the high amount of data generated by chromatograms, electropherograms or spectra. The chemical methods have revealed the widespread presence of low or variable quality herbal products in the marketplace. The majority of analytical investigations present major, qualitative and quantitative, inter-product variations of their chemical composition, ranging from missing ingredients, to strikingly and unnaturally high concentrations of some compounds. Moreover, the inter-batch quality variations were frequently reported, as well as the presence of some undesirable substances. The chemical analysis of herbal products is a vital component to raise the overall awareness of quality in the herbal market and generate a quality driven approach.
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Affiliation(s)
- Mihael Cristin Ichim
- "Stejarul" Research Centre for Biological Sciences, National Institute of Research and Development for Biological Sciences, Piatra Neamt, Romania
| | - Francesca Scotti
- Pharmacognosy and Phytotherapy Group, Department of Pharmaceutical and Biological Chemistry, UCL School of Pharmacy, London, UK
| | - Anthony Booker
- Research Centre for Optimal Health, School of Life Sciences, College of Liberal Arts and Sciences, University of Westminster, London, UK
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2
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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: 17] [Impact Index Per Article: 8.5] [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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The Potential Use of Herbal Fingerprints by Means of HPLC and TLC for Characterization and Identification of Herbal Extracts and the Distinction of Latvian Native Medicinal Plants. Molecules 2022; 27:molecules27082555. [PMID: 35458753 PMCID: PMC9026908 DOI: 10.3390/molecules27082555] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/13/2022] [Accepted: 04/13/2022] [Indexed: 12/10/2022] Open
Abstract
The growing market of herbal medicines, the increase in international trade in Latvia, and the lack of adequate analytical methods have raised the question of the potential use of herbal fingerprinting methods. In this study, high-performance liquid chromatography (HPLC) and thin layer chromatography (TLC) methods were developed for obtaining chromatographic fingerprints of four taxonomically and evolutionary different medicinal plants (Hibiscus sabdariffa L., Calendula officinalis L., Matricaria recutita L., Achillea millefolium L.). Retention time shifting, principal component analysis (PCA), hierarchical cluster analysis (HCA), and orthogonal projections to latent structures (OPLS) analysis were used to improve and analyze the obtained fingerprints. HPLC data detection at 270 nm was determined superior to 360 nm for the distinction of medicinal plants and used data alignment method significantly increased similarity between samples. Analyzed medicinal plant extracts formed separate, compact clusters in PCA, and the results of HCA correlated with the evolutionary relationships of the analyzed medicinal plants. Herbal fingerprinting using chromatographic analysis coupled with multivariate analysis has a great potential for the identification of medicinal plants as well as for the distinction of Latvian native medicinal plants.
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Riswanto FDO, Windarsih A, Lukitaningsih E, Rafi M, Fadzilah NA, Rohman A. Metabolite Fingerprinting Based on 1H-NMR Spectroscopy and Liquid Chromatography for the Authentication of Herbal Products. Molecules 2022; 27:1198. [PMID: 35208988 PMCID: PMC8874729 DOI: 10.3390/molecules27041198] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 01/25/2022] [Accepted: 01/27/2022] [Indexed: 11/17/2022] Open
Abstract
Herbal medicines (HMs) are regarded as one of the traditional medicines in health care to prevent and treat some diseases. Some herbal components such as turmeric and ginger are used as HMs, therefore the identification and confirmation of herbal use are very necessary. In addition, the adulteration practice, mainly motivated to gain economical profits, may occur by substituting the high price of HMs with lower-priced ones or by addition of certain chemical constituents known as Bahan Kimia Obat (chemical drug ingredients) in Indonesia. Some analytical methods based on spectroscopic and chromatographic methods are developed for the authenticity and confirmation of the HMs used. Some approaches are explored during HMs authentication including single-component analysis, fingerprinting profiles, and metabolomics studies. The absence of reference standards for certain chemical markers has led to exploring the fingerprinting approach as a tool for the authentication of HMs. During fingerprinting-based spectroscopic and chromatographic methods, the data obtained were big, therefore the use of chemometrics is a must. This review highlights the application of fingerprinting profiles using variables of spectral and chromatogram data for authentication in HMs. Indeed, some chemometrics techniques, mainly pattern recognition either unsupervised or supervised, were applied for this purpose.
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Affiliation(s)
- Florentinus Dika Octa Riswanto
- Center of Excellence, Institute for Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia; (F.D.O.R.); (A.W.)
- Division of Pharmaceutical Analysis and Medicinal Chemistry, Faculty of Pharmacy, Campus III Paingan, Universitas Sanata Dharma, Maguwoharjo, Sleman, Yogyakarta 55282, Indonesia
| | - Anjar Windarsih
- Center of Excellence, Institute for Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia; (F.D.O.R.); (A.W.)
- Research Division for Natural Product Technology, National Research and Innovation Agency (BRIN), Yogyakarta 55861, Indonesia
| | - Endang Lukitaningsih
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia;
| | - Mohamad Rafi
- Department of Chemistry, Faculty of Mathematics and Natural Sciences, Kampus IPB Dramaga, IPB University, Bogor 16680, Indonesia;
| | - Nurrulhidayah A. Fadzilah
- International Institute for Halal Research and Training (INHART), International Islamic University of Malaysia (IIUM), Gombak 53100, Malaysia;
| | - Abdul Rohman
- Center of Excellence, Institute for Halal Industry and Systems, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia; (F.D.O.R.); (A.W.)
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia;
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Durazzo A, Sorkin BC, Lucarini M, Gusev PA, Kuszak AJ, Crawford C, Boyd C, Deuster PA, Saldanha LG, Gurley BJ, Pehrsson PR, Harnly JM, Turrini A, Andrews KW, Lindsey AT, Heinrich M, Dwyer JT. Analytical Challenges and Metrological Approaches to Ensuring Dietary Supplement Quality: International Perspectives. Front Pharmacol 2022; 12:714434. [PMID: 35087401 PMCID: PMC8787362 DOI: 10.3389/fphar.2021.714434] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 12/16/2021] [Indexed: 12/23/2022] Open
Abstract
The increased utilization of metrology resources and expanded application of its' approaches in the development of internationally agreed upon measurements can lay the basis for regulatory harmonization, support reproducible research, and advance scientific understanding, especially of dietary supplements and herbal medicines. Yet, metrology is often underappreciated and underutilized in dealing with the many challenges presented by these chemically complex preparations. This article discusses the utility of applying rigorous analytical techniques and adopting metrological principles more widely in studying dietary supplement products and ingredients, particularly medicinal plants and other botanicals. An assessment of current and emerging dietary supplement characterization methods is provided, including targeted and non-targeted techniques, as well as data analysis and evaluation approaches, with a focus on chemometrics, toxicity, dosage form performance, and data management. Quality assessment, statistical methods, and optimized methods for data management are also discussed. Case studies provide examples of applying metrological principles in thorough analytical characterization of supplement composition to clarify their health effects. A new frontier for metrology in dietary supplement science is described, including opportunities to improve methods for analysis and data management, development of relevant standards and good practices, and communication of these developments to researchers and analysts, as well as to regulatory and policy decision makers in the public and private sectors. The promotion of closer interactions between analytical, clinical, and pharmaceutical scientists who are involved in research and product development with metrologists who develop standards and methodological guidelines is critical to advance research on dietary supplement characterization and health effects.
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Affiliation(s)
| | - Barbara C Sorkin
- Office of Dietary Supplements, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, United States
| | | | - Pavel A Gusev
- Beltsville Human Nutrition Research Center, Agricultural Research Service, US Department of Agriculture, Bethesda, MD, United States
| | - Adam J Kuszak
- Office of Dietary Supplements, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, United States
| | - Cindy Crawford
- Consortium for Health and Military Performance, Department of Military & Emergency Medicine, F. Edward Hebert School of Medicine, Uniformed Services University, Bethesda, MD, United States
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Courtney Boyd
- Consortium for Health and Military Performance, Department of Military & Emergency Medicine, F. Edward Hebert School of Medicine, Uniformed Services University, Bethesda, MD, United States
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Patricia A Deuster
- Consortium for Health and Military Performance, Department of Military & Emergency Medicine, F. Edward Hebert School of Medicine, Uniformed Services University, Bethesda, MD, United States
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Leila G Saldanha
- Office of Dietary Supplements, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, United States
| | - Bill J Gurley
- National Center for Natural Products Research, University of Mississippi, Bethesda, MD, United States
| | - Pamela R Pehrsson
- Beltsville Human Nutrition Research Center, Agricultural Research Service, US Department of Agriculture, Bethesda, MD, United States
| | - James M Harnly
- Beltsville Human Nutrition Research Center, Agricultural Research Service, US Department of Agriculture, Bethesda, MD, United States
| | - Aida Turrini
- CREA - Research Centre for Food and Nutrition, Rome, Italy
| | - Karen W Andrews
- Beltsville Human Nutrition Research Center, Agricultural Research Service, US Department of Agriculture, Bethesda, MD, United States
| | - Andrea T Lindsey
- Consortium for Health and Military Performance, Department of Military & Emergency Medicine, F. Edward Hebert School of Medicine, Uniformed Services University, Bethesda, MD, United States
- Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, United States
| | - Michael Heinrich
- UCL School of Pharmacy, Pharmacognosy and Phytotherapy, London, United Kingdom
| | - Johanna T Dwyer
- Office of Dietary Supplements, National Institutes of Health, US Department of Health and Human Services, Bethesda, MD, United States
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Perez-Rodriguez Z, Alvarez O, Rodríguez-Negrin Z, Calvo AM, Valdés-Negrín HL, Pérez-Rodríguez M. Comprehensive Certification of the Furvina Production by Modeling Quality Control Parameters. J Pharm Innov 2021. [DOI: 10.1007/s12247-021-09589-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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7
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Gaião Calixto M, Alves Ramos H, Veríssimo LS, Dantas Alves V, D Medeiros AC, Alencar Fernandes FH, Veras G. Trends and Application of Chemometric Pattern Recognition Techniques in Medicinal Plants Analysis. Crit Rev Anal Chem 2021; 53:326-338. [PMID: 34314279 DOI: 10.1080/10408347.2021.1953370] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Medicinal plants have been used and studied for ages, from very old registers to modern ethnopharmacology, which encompasses analytical chemistry, foods, and pharmacy. Based on international norms and governmental organizations of health, phytomedicine-for example, herbal drugs-needs to guarantee the quality control of products and identify contaminants, biomarkers, and chemical profiles, among other issues. In this sense, is necessary to develop advanced analytical methods that show interesting possibilities and obtain a great amount of data. In order to treat the data, a set of mathematical and statistical procedures named chemometrics is necessary. In terms of herbal drugs, chemometric tools may be used to identify the following in plants: parts, development stages, processing, geographic origin, authentication, and chemical markers. This review describes applications of chemometric pattern recognition tools to analyze herbal drugs in different conditions associated with analytical methods in the last six years (2015-2020).
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Affiliation(s)
- Mariana Gaião Calixto
- Laboratório de Química Analítica e Quimiometria, Universidade Estadual da Paraíba, Campina Grande, Brasil
| | - Hilthon Alves Ramos
- Laboratório de Química Analítica e Quimiometria, Universidade Estadual da Paraíba, Campina Grande, Brasil
| | - Lucas Silva Veríssimo
- Laboratório de Química Analítica e Quimiometria, Universidade Estadual da Paraíba, Campina Grande, Brasil
| | - Vitor Dantas Alves
- Laboratório de Química Analítica e Quimiometria, Universidade Estadual da Paraíba, Campina Grande, Brasil
| | - Ana Cláudia D Medeiros
- Laboratório de Desenvolvimento e Ensaios de Medicamentos, Universidade Estadual da Paraíba, Campina Grande, Brasil
| | - Felipe Hugo Alencar Fernandes
- Laboratório de Desenvolvimento e Ensaios de Medicamentos, Universidade Estadual da Paraíba, Campina Grande, Brasil.,Centro Universitário UNIFACISA, Campina Grande, Brasil
| | - Germano Veras
- Laboratório de Química Analítica e Quimiometria, Universidade Estadual da Paraíba, Campina Grande, Brasil
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Esteki M, Heydari E, Simal-Gandara J, Shahsavari Z, Mohammadlou M. Discrimination of pistachio cultivars based on multi-elemental fingerprinting by pattern recognition methods. Food Control 2021. [DOI: 10.1016/j.foodcont.2021.107889] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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9
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Simion IM, MoŢ AC, Sârbu C. Finding specific peaks (markers) using fuzzy divisive hierarchical associative-clustering based on the chromatographic profiles of medicinal plant extracts obtained at various detection wavelengths. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2020; 12:3260-3267. [PMID: 32930189 DOI: 10.1039/d0ay00295j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Advanced chemometric methods, such as fuzzy c-means (FCM), a fuzzy divisive hierarchical clustering algorithm (FDHC), and fuzzy divisive hierarchical associative-clustering (FDHAC), which offer the excellent possibility to associate each fuzzy partition of samples with a fuzzy set of characteristics (features), have been successfully applied in this study. FDHAC, a method that utilizes specific regions of chromatographic fingerprints or specific peaks as a fuzzy set of characteristics, was effectively applied to the characterization and classification of medicinal plant extracts according to their antioxidant capacities, using their chromatographic profiles monitored at 242, 260, 280, 320, 340, and 380 nm via HPLC with a multistep isocratic and gradient elution system and diode array detection (HPLC-DAD). What is quite new is the partitioning of the chromatographic retention time ranges and peaks (markers) and their association with different plant extract samples with high, moderate or low antioxidant capacity. Furthermore, the degrees of membership of fingerprints (fuzzy markers) are highly relevant with respect to the (dis)similarity of samples because they indicate both the positions and degrees of association of chromatographic peaks from different classes or individual samples. The obtained results clearly demonstrate the efficiency and information power of these advanced fuzzy methods for medicinal plant characterization and authentication, and this study generates the premise for a new chemometrics approach with high-impact for use in analytical chemistry and other fields.
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Affiliation(s)
- Ileana M Simion
- Department of Chemistry, Babeş-Bolyai University, Faculty of Chemistry and Chemical Engineering, Arany Janos Str., No. 11, RO-400028 Cluj-Napoca, Romania.
| | - Augustin-C MoŢ
- Department of Chemistry, Babeş-Bolyai University, Faculty of Chemistry and Chemical Engineering, Arany Janos Str., No. 11, RO-400028 Cluj-Napoca, Romania.
| | - Costel Sârbu
- Department of Chemistry, Babeş-Bolyai University, Faculty of Chemistry and Chemical Engineering, Arany Janos Str., No. 11, RO-400028 Cluj-Napoca, Romania.
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Feher I, Magdas DA, Dehelean A, Sârbu C. Characterization and classification of wines according to geographical origin, vintage and specific variety based on elemental content: a new chemometric approach. Journal of Food Science and Technology 2019; 56:5225-5233. [PMID: 31749469 DOI: 10.1007/s13197-019-03991-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 07/24/2019] [Accepted: 07/30/2019] [Indexed: 10/26/2022]
Abstract
A highly informative chemometric approach using elemental data to distinguish and classify wine samples according to different criteria was successfully developed. The robust chemometric methods, such fuzzy principal component analysis (FPCA), FPCA combined with linear discriminant analysis (LDA), namely FPCA-LDA and mainly fuzzy divisive hierarchical associative-clustering (FDHAC), including also classical methods (HCA, PCA and PCA-LDA) were efficaciously applied for characterization and classification of white wines according to the geographical origin, vintage or specific variety. The correct rate of classification applying LDA was 100% in all cases, but more compact groups have been obtained for FPCA scores. A similar separation of samples resulted also when the FDHAC was employed. In addition, FDHAC offers an excellent possibility to associate each fuzzy partition of wine samples to a fuzzy set of specific characteristics, finding in this way very specific elemental contents and fuzzy markers according to the degrees of membership (DOMs).
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Affiliation(s)
- Ioana Feher
- 1National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donath, 400293 Cluj-Napoca, Romania
| | - Dana Alina Magdas
- 1National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donath, 400293 Cluj-Napoca, Romania
| | - Adriana Dehelean
- 1National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donath, 400293 Cluj-Napoca, Romania
| | - Costel Sârbu
- 2Faculty of Chemistry and Chemical Engineering, Babeş-Bolyai University, 11 Arany János, 400028 Cluj-Napoca, Romania
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Simion IM, Casoni D, Sârbu C. Classification of Romanian medicinal plant extracts according to the therapeutic effects using thin layer chromatography and robust chemometrics. J Pharm Biomed Anal 2019; 163:137-143. [DOI: 10.1016/j.jpba.2018.09.047] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Revised: 09/24/2018] [Accepted: 09/25/2018] [Indexed: 10/28/2022]
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