A Comparative Study of the Chemical Composition of the Extracts from Leaves, Stem Bark, and Root Bark of Cassia sieberiana: Antibacterial Activities

In Togo, the abusive use of the root of Cassia sieberiana D.C. in traditional medicine, contributes gradually to the rarefaction of the species. The general objective of this study is to promote the use of vital organs of Cassia sieberiana in traditional medicine in Togo. The identification of secondary metabolites of the extracts (cyclohexane, dichloromethane and methanol) was carried out by GC-MS and by CL-MS / MS. The antibiotic susceptibility test was performed according to the well diffusion method and the MICs and MBCs according to the tube dilution method. Compounds such as sitosterol α-acetate, β-sitosterol, emodin, chaetochromine, luteolin, (±) -catechin, naringenin 5-O-rhamnoside, guibourtinidol- (4 alpha-> 6) -catechin and (-) - epiafzelechin are found in the root and in the stem bark. The identified molecules give the different methanolic extracts, an antibacterial effect on all the germs tested. At the end of this study, it appears that the chemical composition of the stem bark is almost similar to that of the root bark. The leaves would be better placed for the treatment of bacteria tested

Rapid and Green Analytical Method for the Determination of Quinoline Alkaloids from Cinchona succirubra Based on Microwave-Integrated Extraction and Leaching (MIEL) Prior to High Performance Liquid Chromatography

Quinas contains several compounds, such as quinoline alkaloids, principally quinine, quinidine, cinchonine and cichonidine. Identified from barks of Cinchona, quinine is still commonly used to treat human malaria. Microwave-Integrated Extraction and Leaching (MIEL) is proposed for the extraction of quinoline alkaloids from bark of Cinchona succirubra. The process is performed in four steps, which ensures complete, rapid and accurate extraction of the samples. Optimal conditions for extraction were obtained using a response surface methodology reached from a central composite design. The MIEL extraction has been compared with a conventional technique soxhlet extraction. The extracts of quinoline alkaloids from C. succirubra obtained by these two different methods were compared by HPLC. The extracts obtained by MIEL in 32 min were quantitatively (yield) and qualitatively (quinine, quinidine, cinchonine, cinchonidine) similar to those obtained by conventional Soxhlet extraction in 3 hours. MIEL is a green technology that serves as a good alternative for the extraction of Cinchona alkaloids

New Approach to the Bioactive Natural Product Rutaecarpine and its Heterologues via the Amino-Ester/Thioimine Cyclocondensation

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A new phenylpropanoid derivative isolated from Carthamus tinctorius L.

International audienc

Expedious and practical synthesis of the bioactive alkaloids rutaecarpine, euxylophoricine A, deoxyvasicinone and their heterocyclic homologues

International audienc

On the reactivity of thiolactam in indole series: New approaches to the bioactive natural alkaloid product Rutaecarpine, its homologues and corresponding pyridones via the tandem processes

International audienc

A new bioassay-guided fractionation from root of Bryonia dioica: A promising strategy for drug discovery

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Ion mobility mass spectrometry and molecular networks for the investigation of methanolic extracts of Zanthoxylum heitzii (Rutaceae)

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Molecular networking and ion mobility complementarity in metabolites identification of a Fagara heitzii extract

International audiencePlants are an invaluable natural source of active compounds. Studying these secondary metabolites is of great interest for medicine and biotechnology. Nevertheless, the amount of data generated after a LC-MS/MS analysis induces an important work to target known metabolites and focus the efforts on unknown structures. Therefore, molecular networking has been developed to associate families of compounds based on their MS/MS fingerprint and to implement database searches. This tool considerably enhances metabolite search.[1,2] In addition, coupling liquid chromatography-ion mobility-mass spectrometry (LC-IM-MS) increases the efficiency of separation and brings an additional parameter of characterization. Indeed, collision cross section (CCS) is an intrinsic property of a given compound, it could increase reliability of compound annotation in metabolomics by comparing experimental CCS either with reference values in the case of known compounds, or with theoretical CCS values in the case of unknown compounds.[3,4]We work on Zanthoxylum heitzii or Fagara heitzii, which is a tree from the Rutaceae family. This medicinal plant is widely used in central Africa for the treatment of many diseases such as cancers, syphilis and malaria but limited amount of chemical and pharmacological studies have been conducted. Previous phytochemical investigations reported compounds including amides, lignanes, alkaloids, steroids and terpenes and were realized by performing extraction, isolation steps followed by characterization of the purified compounds. [5,6] To gain in time and resources, our objective was to develop analytical tools to study different parts of the plant: root, leaf, bark and branch. We worked on the polar methanol extract of each part. Each extract was analyzed by ultra-high performance liquid chromatography coupled to tandem - mass spectrometry (MS-MS) or ion mobility - mass spectrometry (IM-MS), with a hybrid quadrupole-time of flight analyzer, equipped with an ion mobility cell. On the one hand, MS-MS parameters were optimized in the objective to build molecular networks using the Global Natural Products Social Molecular Networking platform. These data analysis tools allowed us to compare fragmentation profiles of the different compounds in each extract and between the different extracts. On the other hand, IM-MS data were acquired to determine the collision cross sections (CCS) of each compound detected in the plant extracts. Thus, compounds could be annotated with different confidence levels, as described by the Metabolomics Standards Initiative, with CCS determination. [1 ]Wang et al. Nature Biotechnology (2016) [2] F. Olivon et al. Analytical Chemsitry (2018) [3] Domalain et al. Chemical Science (2014) [4] Fernie et al. The Plant Cell (2011) [5] Moussavi et al. Parasites & Vectors (2015

Molecular networking and ion mobility complementarity in metabolites identification of a Fagara heitzii extract

International audiencePlants are an invaluable natural source of active compounds. Studying these secondary metabolites is of great interest for medicine and biotechnology. Nevertheless, the amount of data generated after a LC-MS/MS analysis induces an important work to target known metabolites and focus the efforts on unknown structures. Therefore, molecular networking has been developed to associate families of compounds based on their MS/MS fingerprint and to implement database searches. This tool considerably enhances metabolite search.[1,2] In addition, coupling liquid chromatography-ion mobility-mass spectrometry (LC-IM-MS) increases the efficiency of separation and brings an additional parameter of characterization. Indeed, collision cross section (CCS) is an intrinsic property of a given compound, it could increase reliability of compound annotation in metabolomics by comparing experimental CCS either with reference values in the case of known compounds, or with theoretical CCS values in the case of unknown compounds.[3,4]We work on Zanthoxylum heitzii or Fagara heitzii, which is a tree from the Rutaceae family. This medicinal plant is widely used in central Africa for the treatment of many diseases such as cancers, syphilis and malaria but limited amount of chemical and pharmacological studies have been conducted. Previous phytochemical investigations reported compounds including amides, lignanes, alkaloids, steroids and terpenes and were realized by performing extraction, isolation steps followed by characterization of the purified compounds. [5,6] To gain in time and resources, our objective was to develop analytical tools to study different parts of the plant: root, leaf, bark and branch. We worked on the polar methanol extract of each part. Each extract was analyzed by ultra-high performance liquid chromatography coupled to tandem - mass spectrometry (MS-MS) or ion mobility - mass spectrometry (IM-MS), with a hybrid quadrupole-time of flight analyzer, equipped with an ion mobility cell. On the one hand, MS-MS parameters were optimized in the objective to build molecular networks using the Global Natural Products Social Molecular Networking platform. These data analysis tools allowed us to compare fragmentation profiles of the different compounds in each extract and between the different extracts. On the other hand, IM-MS data were acquired to determine the collision cross sections (CCS) of each compound detected in the plant extracts. Thus, compounds could be annotated with different confidence levels, as described by the Metabolomics Standards Initiative, with CCS determination. [1 ]Wang et al. Nature Biotechnology (2016) [2] F. Olivon et al. Analytical Chemsitry (2018) [3] Domalain et al. Chemical Science (2014) [4] Fernie et al. The Plant Cell (2011) [5] Moussavi et al. Parasites & Vectors (2015