Metabolite profiling of potential bioactive fractions from ethanol extract of Boehmeria nivea flowers by GC–MS/MS analysis
Background: Ramie (Boehmeria nivea) has been reported to have a wide variety of secondary metabolite compounds in its vegetative organ that have distinct organic activities. Regarding the chemical composition of flowers, there have been no study considering their pharmacological effects. Purpose: Th...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-05-01
|
| Series: | Phytomedicine Plus |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667031324000356 |
| _version_ | 1797224115624476672 |
|---|---|
| author | Asri Peni Wulandari Zahra Khira Nafisa Tati Herlina Rani Maharani Gumgum Darmawan Arli Aditya Parikesit Rahadian Zainul |
| author_facet | Asri Peni Wulandari Zahra Khira Nafisa Tati Herlina Rani Maharani Gumgum Darmawan Arli Aditya Parikesit Rahadian Zainul |
| author_sort | Asri Peni Wulandari |
| collection | DOAJ |
| description | Background: Ramie (Boehmeria nivea) has been reported to have a wide variety of secondary metabolite compounds in its vegetative organ that have distinct organic activities. Regarding the chemical composition of flowers, there have been no study considering their pharmacological effects. Purpose: This research aims to determine profile metabolites contained in B. nivea flowers employing a metabolomics approach. Study Design: This research was designed to obtain a metabolite database from five dissolved fractions of ramie flower using a Gas Chromatography-Mass Spectrometry (GC–MS/MS) instrument. This study includes metabolite profiles from each fraction of the spectrum obtained, which are then investigated for potential bioactivity based on previously reported studies. Metabolite profiles were developed using Principal Component Analysis (PCA) to obtain information on clustering of the compounds and determination of marker compounds from each fraction analyzed. Methods: The active compounds of the flowers were separated utilizing the maceration method with ethanol solvent and multilevel fractionation using n-hexane, dichloromethane, ethyl acetic acid derivation, butanol, and water employing a GC–MS/MS approach. Principal Component Analysis (PCA) was optimized with a total represented data diversity range of 60 % - 65 %. This allowed for the identification of characteristic compounds and similarities in compound substances accross the fractions. Result: GC–MS/MS interpretation showed the dominant compounds contained in each fraction of n-hexane, dichloromethane, n-butanol, ethyl acetate, and water are 9,12-Octadecadienoic acid, ethanol, 2-phenoxy-, butyl ester, and hexanedioic acid, bis(2-ethylhexyl) ester. PCA clustering showed combined similarity of the compound for ethyl acetate fraction with butanol, and also butanol with n-hexane. Meanwhile, the dichloromethane and water fractions have very small content similarities. The score plot indicated marker compounds of each fraction are: ethanol, 2-butoxy; hexane, 2,2,3-trimethyl-; phthalic acid, in (2-propylpentyl) ester; n-hexadecanoic acid, and Hexanedioic acid, bis(2- ethylhexyl) ester. Conclusions: The abundance of compounds in the fractions shows potential for application as a source of new drug candidates. In addition, there are still many compounds that are unknown in structures or biological activities which could lead to further research to provide potential clues towards the bioprospecting of the plant. Abbreviations: CH2Cl2, dichloromethane; Dm1, Dimension 1; Dm2, Dimension 2; EtOAc, ethyl acetate; GC–MS/MS, Gas Chromatography–Mass Spectrometry; n-BuOH, n-butanol; PCA, Principal Component Analysis. |
| first_indexed | 2024-04-24T13:47:59Z |
| format | Article |
| id | doaj.art-3111bf3ab2f542548f3b15be87e31e85 |
| institution | Directory Open Access Journal |
| issn | 2667-0313 |
| language | English |
| last_indexed | 2024-04-24T13:47:59Z |
| publishDate | 2024-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Phytomedicine Plus |
| spelling | doaj.art-3111bf3ab2f542548f3b15be87e31e852024-04-04T05:07:26ZengElsevierPhytomedicine Plus2667-03132024-05-0142100557Metabolite profiling of potential bioactive fractions from ethanol extract of Boehmeria nivea flowers by GC–MS/MS analysisAsri Peni Wulandari0Zahra Khira Nafisa1Tati Herlina2Rani Maharani3Gumgum Darmawan4Arli Aditya Parikesit5Rahadian Zainul6Department of Biology, Faculty of Mathematics and Natural Science, Padjadjaran University, Sumedang 45363, Indonesia; Center for Bioprospection of Natural Fibers and Biological Resources, Faculty of Mathematics and Natural Science, Padjadjaran University, Bandung 40132, Indonesia; Corresponding author at: Department of Biology, Faculty of Mathematics and Natural Science, Padjadjaran University, Sumedang 45363, Indonesia.Department of Biology, Faculty of Mathematics and Natural Science, Padjadjaran University, Sumedang 45363, Indonesia; Center for Bioprospection of Natural Fibers and Biological Resources, Faculty of Mathematics and Natural Science, Padjadjaran University, Bandung 40132, IndonesiaDepartment of Chemistry, Faculty of Mathematics and Natural Science, Padjadjaran University, Sumedang 45363, IndonesiaDepartment of Chemistry, Faculty of Mathematics and Natural Science, Padjadjaran University, Sumedang 45363, Indonesia; Center for Natural Products and Synthesis, Faculty of Mathematics and Natural Sciences, Padjadjaran University, Sumedang 45363, IndonesiaDepartment of Statistics, Faculty of Mathematics and Natural Science, Padjadjaran University, Sumedang 45363, Indonesia; Center for Modeling and Computational, Faculty of Mathematics and Natural Sciences, Sumedang 45363 Padjadjaran University, IndonesiaDepartment of Bioinformatics, Indonesia International Institute for Life Sciences, East Jakarta 13210, IndonesiaDepartment of Chemistry, Faculty of Mathematics and Natural Science, Padang State University, Padang 25171, IndonesiaBackground: Ramie (Boehmeria nivea) has been reported to have a wide variety of secondary metabolite compounds in its vegetative organ that have distinct organic activities. Regarding the chemical composition of flowers, there have been no study considering their pharmacological effects. Purpose: This research aims to determine profile metabolites contained in B. nivea flowers employing a metabolomics approach. Study Design: This research was designed to obtain a metabolite database from five dissolved fractions of ramie flower using a Gas Chromatography-Mass Spectrometry (GC–MS/MS) instrument. This study includes metabolite profiles from each fraction of the spectrum obtained, which are then investigated for potential bioactivity based on previously reported studies. Metabolite profiles were developed using Principal Component Analysis (PCA) to obtain information on clustering of the compounds and determination of marker compounds from each fraction analyzed. Methods: The active compounds of the flowers were separated utilizing the maceration method with ethanol solvent and multilevel fractionation using n-hexane, dichloromethane, ethyl acetic acid derivation, butanol, and water employing a GC–MS/MS approach. Principal Component Analysis (PCA) was optimized with a total represented data diversity range of 60 % - 65 %. This allowed for the identification of characteristic compounds and similarities in compound substances accross the fractions. Result: GC–MS/MS interpretation showed the dominant compounds contained in each fraction of n-hexane, dichloromethane, n-butanol, ethyl acetate, and water are 9,12-Octadecadienoic acid, ethanol, 2-phenoxy-, butyl ester, and hexanedioic acid, bis(2-ethylhexyl) ester. PCA clustering showed combined similarity of the compound for ethyl acetate fraction with butanol, and also butanol with n-hexane. Meanwhile, the dichloromethane and water fractions have very small content similarities. The score plot indicated marker compounds of each fraction are: ethanol, 2-butoxy; hexane, 2,2,3-trimethyl-; phthalic acid, in (2-propylpentyl) ester; n-hexadecanoic acid, and Hexanedioic acid, bis(2- ethylhexyl) ester. Conclusions: The abundance of compounds in the fractions shows potential for application as a source of new drug candidates. In addition, there are still many compounds that are unknown in structures or biological activities which could lead to further research to provide potential clues towards the bioprospecting of the plant. Abbreviations: CH2Cl2, dichloromethane; Dm1, Dimension 1; Dm2, Dimension 2; EtOAc, ethyl acetate; GC–MS/MS, Gas Chromatography–Mass Spectrometry; n-BuOH, n-butanol; PCA, Principal Component Analysis.http://www.sciencedirect.com/science/article/pii/S2667031324000356Boehmeria niveaBioprospectingGC-MS/MSSecondary metabolitePCA |
| spellingShingle | Asri Peni Wulandari Zahra Khira Nafisa Tati Herlina Rani Maharani Gumgum Darmawan Arli Aditya Parikesit Rahadian Zainul Metabolite profiling of potential bioactive fractions from ethanol extract of Boehmeria nivea flowers by GC–MS/MS analysis Phytomedicine Plus Boehmeria nivea Bioprospecting GC-MS/MS Secondary metabolite PCA |
| title | Metabolite profiling of potential bioactive fractions from ethanol extract of Boehmeria nivea flowers by GC–MS/MS analysis |
| title_full | Metabolite profiling of potential bioactive fractions from ethanol extract of Boehmeria nivea flowers by GC–MS/MS analysis |
| title_fullStr | Metabolite profiling of potential bioactive fractions from ethanol extract of Boehmeria nivea flowers by GC–MS/MS analysis |
| title_full_unstemmed | Metabolite profiling of potential bioactive fractions from ethanol extract of Boehmeria nivea flowers by GC–MS/MS analysis |
| title_short | Metabolite profiling of potential bioactive fractions from ethanol extract of Boehmeria nivea flowers by GC–MS/MS analysis |
| title_sort | metabolite profiling of potential bioactive fractions from ethanol extract of boehmeria nivea flowers by gc ms ms analysis |
| topic | Boehmeria nivea Bioprospecting GC-MS/MS Secondary metabolite PCA |
| url | http://www.sciencedirect.com/science/article/pii/S2667031324000356 |
| work_keys_str_mv | AT asripeniwulandari metaboliteprofilingofpotentialbioactivefractionsfromethanolextractofboehmerianiveaflowersbygcmsmsanalysis AT zahrakhiranafisa metaboliteprofilingofpotentialbioactivefractionsfromethanolextractofboehmerianiveaflowersbygcmsmsanalysis AT tatiherlina metaboliteprofilingofpotentialbioactivefractionsfromethanolextractofboehmerianiveaflowersbygcmsmsanalysis AT ranimaharani metaboliteprofilingofpotentialbioactivefractionsfromethanolextractofboehmerianiveaflowersbygcmsmsanalysis AT gumgumdarmawan metaboliteprofilingofpotentialbioactivefractionsfromethanolextractofboehmerianiveaflowersbygcmsmsanalysis AT arliadityaparikesit metaboliteprofilingofpotentialbioactivefractionsfromethanolextractofboehmerianiveaflowersbygcmsmsanalysis AT rahadianzainul metaboliteprofilingofpotentialbioactivefractionsfromethanolextractofboehmerianiveaflowersbygcmsmsanalysis |