Metabolomics‐based profiling of five Salvia L. (Lamiaceae) species using untargeted data analysis workflow DOI
Navaz Kharazian,

Farzaneh Jafari Dehkordi,

Chun‐Lei Xiang

и другие.

Phytochemical Analysis, Год журнала: 2024, Номер unknown

Опубликована: Июль 14, 2024

Abstract Introduction The genus Salvia L., a member of the family Lamiaceae, is keystone with wide range medicinal properties. It possesses rich metabolite source that has long been used to treat different disorders. Objectives Due deficiency untargeted metabolomic profiling in , this work attempts investigate comprehensive mass spectral library matching, computational data annotations, exclusive biomarkers, specific chemotypes, intraspecific profile variation, and enrichment by case study five species . Material methods Aerial parts each were subjected QTRAP liquid chromatography–tandem spectrometry (LC–MS/MS) analysis workflow based on metabolites. A multivariate was acquired dataset utilizing MetaboAnalyst 6.0 Global Natural Products Social Molecular Networking (GNPS) Web Platform. Results approach empowered identification 117 metabolites matching 92 nodes annotated automated matching. machine learning algorithm as substructural topic modeling, MS2LDA, further implemented explore substructures, resulting four Mass2Motifs. newly discovered total 23 In addition, 87 verified biomarkers 58 GNPS 11 chemotypes screened. Conclusion Integrative annotation platform provide through workflow. LC–MS/MS unveiled reliable information about inter levels differentiation. rigorous investigation presents large‐scale overview new insights for chemotaxonomy pharmaceutical studies.

Язык: Английский

Multiple online-HPLC methodologies and biological properties of leaves and stem barks extracts of Chrysanthellum indicum DOI

Nilofar Nilofar,

Kouadio Ibrahime Sinan, Ozan Emre Eyüpoğlu

и другие.

Microchemical Journal, Год журнала: 2023, Номер 197, С. 109847 - 109847

Опубликована: Дек. 29, 2023

Язык: Английский

Процитировано

4

Chemical characterization of Glaucosciadum cordifolium extracts obtained by different extraction techniques and their biopharmaceutical effects DOI
Aleksandra Cvetanović, Jelena Božunović, Uroš Gašić

и другие.

Process Biochemistry, Год журнала: 2023, Номер 134, С. 141 - 150

Опубликована: Окт. 6, 2023

Язык: Английский

Процитировано

3

In Vitro and Molecular Docking Evaluation of Larvicidal Effects of Essential Oils of Five Aromatic Plants on the Fall Armyworm Spodoptera frugiperda JE. Smith (Lepidoptera: Noctuidae) from Ivory Coast DOI
Koffi Christophe Kobenan,

Ibrahime Sinan Kouadio,

Malanno Kouakou

и другие.

Chemistry & Biodiversity, Год журнала: 2023, Номер 20(8)

Опубликована: Июнь 26, 2023

Faced with the serious consequences resulting from abusive and repeated use of synthetic chemicals, today rethinking crop protection is more than necessary. It in this context that essential oils Lamiaceae Ocimum gratissimum canum, Poaceae Cymbopogon citratus nardus a Rutaceae Citrus sp. known chemical compositions were experimented. The evaluation larvicidal potential was done by method topical application test solutions, on L1-L2 stage larvae first generation S. frugiperda obtained after rearing an air-conditioned room. Lethal concentrations (LC10 , LC50 LC90 ) determined 48 h. After assessing oils, molecular docking carried out to study protein-ligand interactions their propensity bind insect enzyme sites (AChE). oil O. most effective lowest lethal =0.91 %, =1.91 % =3.92 %). least toxic =5.44 =20.50 =77.41 Molecular revealed p-cymene thymol are structurally similar AChE active site via predominantly hydrophobic H-bond Tyr374 case thymol. constitutes candidate for development biological insecticides fight against pests environment.

Язык: Английский

Процитировано

2

A comparative study on chemical profiles and biological activities of different extracts of three Verbascum species from Turkey: In vitro, in silico and network pharmacological approaches DOI
Gökhan Zengin, Sakina Yagi, Mirela Kopjar

и другие.

Biocatalysis and Agricultural Biotechnology, Год журнала: 2023, Номер 52, С. 102834 - 102834

Опубликована: Авг. 29, 2023

Язык: Английский

Процитировано

2

Metabolomics‐based profiling of five Salvia L. (Lamiaceae) species using untargeted data analysis workflow DOI
Navaz Kharazian,

Farzaneh Jafari Dehkordi,

Chun‐Lei Xiang

и другие.

Phytochemical Analysis, Год журнала: 2024, Номер unknown

Опубликована: Июль 14, 2024

Abstract Introduction The genus Salvia L., a member of the family Lamiaceae, is keystone with wide range medicinal properties. It possesses rich metabolite source that has long been used to treat different disorders. Objectives Due deficiency untargeted metabolomic profiling in , this work attempts investigate comprehensive mass spectral library matching, computational data annotations, exclusive biomarkers, specific chemotypes, intraspecific profile variation, and enrichment by case study five species . Material methods Aerial parts each were subjected QTRAP liquid chromatography–tandem spectrometry (LC–MS/MS) analysis workflow based on metabolites. A multivariate was acquired dataset utilizing MetaboAnalyst 6.0 Global Natural Products Social Molecular Networking (GNPS) Web Platform. Results approach empowered identification 117 metabolites matching 92 nodes annotated automated matching. machine learning algorithm as substructural topic modeling, MS2LDA, further implemented explore substructures, resulting four Mass2Motifs. newly discovered total 23 In addition, 87 verified biomarkers 58 GNPS 11 chemotypes screened. Conclusion Integrative annotation platform provide through workflow. LC–MS/MS unveiled reliable information about inter levels differentiation. rigorous investigation presents large‐scale overview new insights for chemotaxonomy pharmaceutical studies.

Язык: Английский

Процитировано

0