scholarly journals PHYTOCHEMICAL STUDIES AND GC-MS ANALYSIS OF SPERMADICTYON SUAVEOLENS ROXB

Author(s):  
Ruthiran Papitha ◽  
Lokesh Ravi ◽  
Chinnadurai Immanuel Selvaraj

Objective: The present study was performed to identify the phytochemical constituents of leaves and flowers of a plant Spermadictyon suaveolens extracted with four different solvents.Methods: Dried and powdered samples were subjected to soxhlation based on the polarity of the solvents. The extracts were scanned using Ultra Violet-visible (UV-Vis) spectrophotometry with the wavelength ranging from 200–800 nm by comparing the absorption spectrum with the spectra of known compounds, Fourier Transform Infrared (FT-IR) spectrometry was used to find out the functional groups of the compounds and GC-MS system consisting of a Perkin Elmer Technologies Model Clarus 680 GC equipped with Clarus 600 (EI) was used to identify the metabolites by matching their recorded mass spectra with the standard mass spectra from National Institute of Standards and Technology (NIST05. LIB) libraries provided by the software of the GCMS system (TurboMass version 5.4.2).Results: The phytochemical tests indicated the presence of carbohydrates, alkaloids, flavonoids, phenols, tannins, saponins and terpenoids from the chloroform extract of leaves and flowers. UV-visible spectrophotometer results indicated a wavelength range between 230–660 nm for the flower and leaf extracts for major peaks. FT-IR analysis indicated major functional groups such as aromatic, primary, secondary and aliphatic amines, alkanes, carboxylic acids and amides. GC-MS analysis results revealed major bioactive compounds in the crude extracts.Conclusion: Presence of secondary metabolites has been identified from the phytochemical studies. Many phyto-compounds have been identified from the leaves and flowers of using GC-MS analysis. Hence, this medicinal plant may be used as a source for treating many diseases.

Author(s):  
Shubhaisi Das ◽  
Sunanda Burman ◽  
Goutam Chandra

Background: The only remedy for up surging problem of antibiotic resistance is the discovery of antibacterial agents of natural origin. Objective: The present study was aimed at finding antibacterial potential of crude and solvent extracts of mature leaves of Plumeria pudica. Methods: Antibacterial activity of three different solvent extracts were evaluated in four human and four fish pathogenic bacteria by measuring the zone of inhibition and determining Minimum Inhibitory Concentration and Minimum Bactericidal Concentration values. Standard antibiotics were used as positive control. Preliminary phytochemical screening of most effective extract i.e., ethyl acetate extract, Fourier Transform Infra Red analysis and GC-MS analysis of the Thin Layer Chromatographic (TLC) fraction of ethyl acetate extract were done meticulously. All experiments were done thrice and analyzed statistically. Results: Crude leaf extracts and solvent extracts caused good inhibition of bacterial growth in all selected bacteria. Ethyl acetate extract showed highest inhibition zones in all tested strains with maximum inhibition (19.50±0.29 mm) in Escherichia coli (MTCC 739). MBC/MIC of the extracts indicated that all three solvent extracts were bactericidal. Preliminary phytochemical tests revealed the presence of tannins, steroids and alkaloids and FT-IR analysis revealed presence of many functional groups namely alcoholic, amide, amine salt and aldehyde groups. From the GC-MS analysis of TLC fraction of ethyl acetate extract five different bioactive compounds e.g., 2,4-ditert –butylphenyl 5-hydroxypentanoate, Oxalic acid; allyl nonyl ester, 7,9-Ditert-butyl-1-oxaspiro(4,5)deca-6,9-diene-2,8-dione, Dibutyl phthalate and 2,3,5,8-tetramethyl-decane were identified. Conclusion: Leaf extracts of P. pudica contain bioactive compounds that can be used as broad spectrum bactericidal agent.


Author(s):  
M.S. Sindhu ◽  
Poonkothai M.

The present study is to evaluate the phytochemical constituents and antimicrobial activity of Plectranthus amboinicus leaf extract using petroleum ether, methanol and water as solvents. The antimicrobial activity of P. amboinicus leaf extracts were examined against the selected bacterial and fungal isolates namely Escherichia coli, Staphylococcus aureus and Aspergillus niger, Candida albicans using agar well diffusion method. FT –IR analysis was performed to identify the presence of functional groups in the methanol extract. The results of the study revealed the presence of distinctive active secondary metabolites in the tested leaf extract. The results revealed that the methanol extract exhibited maximum antimicrobial activity against the tested bacterial and fungal isolates when compared with aqueous and petroleum ether extracts. The FT-IR analysis reveals the presence of functional groups such as hydroxyl, amines, alkynes, ketones and carboxylic acid in the methanolic extract of P. amboinicus. Thus, P. amboinicus leaves are effective against the selected microbes and recommends that the plant derived phytochemicals are comparatively safer than synthetic alternative, thereby contributing insightful remedial benefits for the treatment of diseases.


2019 ◽  
Vol 12 (10) ◽  
pp. 5391-5415 ◽  
Author(s):  
Alexandra J. Boris ◽  
Satoshi Takahama ◽  
Andrew T. Weakley ◽  
Bruno M. Debus ◽  
Carley D. Fredrickson ◽  
...  

Abstract. Comprehensive techniques to describe the organic composition of atmospheric aerosol are needed to elucidate pollution sources, gain insights into atmospheric chemistry, and evaluate changes in air quality. Fourier transform infrared absorption (FT-IR) spectrometry can be used to characterize atmospheric organic matter (OM) and its composition via functional groups of aerosol filter samples in air monitoring networks and research campaigns. We have built FT-IR spectrometry functional group calibration models that improve upon previous work, as demonstrated by the comparison of current model results with those of previous models and other OM analysis methods. Laboratory standards that simulated the breadth of the absorbing functional groups in atmospheric OM were made: particles of relevant chemicals were first generated, collected, and analyzed. Challenges of collecting atmospherically relevant particles and spectra were addressed by including interferences of particle water and other inorganic aerosol constituents and exploring the spectral effects of intermolecular interactions. Calibration models of functional groups were then constructed using partial least-squares (PLS) regression and the collected laboratory standard data. These models were used to quantify concentrations of five organic functional groups and OM in 8 years of ambient aerosol samples from the southeastern aerosol research and characterization (SEARCH) network. The results agreed with values estimated using other methods, including thermal optical reflectance (TOR) organic carbon (OC; R2=0.74) and OM calculated as a difference between total aerosol mass and inorganic species concentrations (R2=0.82). Comparisons with previous calibration models of the same type demonstrate that this new, more complete suite of chemicals has improved our ability to estimate oxygenated functional group and overall OM concentrations. Calculated characteristic and elemental ratios including OM∕OC, O∕C, and H∕C agree with those from previous work in the southeastern US, substantiating the aerosol composition described by FT-IR calibration. The median OM∕OC ratio over all sites and years was 2.1±0.2. Further results discussing temporal and spatial trends of functional group composition within the SEARCH network will be published in a forthcoming article.


Author(s):  
Gopalakrishnan S. ◽  
Vadivel E.

The bark of Bauhinia tomentosa L. is used wildly used for the treatment of varies ailments such as inflammation, wound, dysentery, skin diseases and for microbial infections. In the present study the ethanolic extract of the bark of Bauhinia tomentosa L. has been subjected to Gas Chromatography-Mass Spectrometry (GC-MS) analysis, while the mass spectra of the compounds found in the extract was matched with the National Institute of Standards and Technology (NIST) library. GC-MS analysis revealed the presence of fourteen phytochemical constituents, These compounds were identified by comparing their retention time and peak area with that of literature and by interpretation of mass spectra. The major chemical constituents are 4-(Benzyloxy)-1-methoxy-2(3,7-dimethylocta-2,6-dienyl)-benzene (10.88%), Levodopa (6.39%) and (9E, 12E) - Methyl octadeca-9,12-dienoate (5.68%) which possess many biological activities. Hence these studies pave a platform to screen many bioactive components for wound healing.


2019 ◽  
Author(s):  
Chem Int

The aim of this study was to screen the phytochemical constituents, isolate and elucidate the structure of chloroform extracts from the leaves of Maesa lanceolata. The qualitative phytochemical analysis of the leaf extract of Maesa lanceolata was done following standard procedures and the tests revealed the presence of cardiac glycosides and saponins in the crude extracts. The chloroform extract of the leaves of M. lanceolata led to the isolation of one compound, C1. Structure determination was accomplished by means of spectroscopic methods (IR, 13C and 1H NMR). According to the spectral data (IR, 1HNMR, 13CNMR and DEPT), probably Myrsenene was identified which is reported for the first time from M. lanceolata.


Author(s):  
Mohamed Zaky Zayed ◽  
Benedict Samling

<p><strong>Objective: </strong>This study was conducted to identify the phytochemical constituents of <em>Leucaena leucocephala</em> leaf extracts using gas chromatography-mass spectrometry (GC-MS).</p><p><strong>Methods: </strong>Hexane, petroleum ether, chloroform, ethyl acetate and methanol leaves extract of <em>L. leucocephala</em> were analyzed using GC-MS, while the mass spectra of the compounds found in the extract were matched with the National Institute of Standards and Technology (NIST) library.</p><p><strong>Results: </strong>GC-MS analysis of <em>L. leucocephala</em> leaves revealed the presence of 30 compounds and the major chemical constituents were Squalene (41.02%), Phytol (33.80%), 3,7,11,15-Tetramethyl-2-hexadecen-1-ol (30.86%) and 3,7,11-Tridecatrienenitrile, 4,8,12-trimethyl (25.64%). Some of these compounds have been reported to possess various biological activities such as antioxidant, antimicrobial, hepatoprotective, antiparasitic, insecticide, nematicide, pesticide, anti coronary, antiarthritic, antiandrogenic, hypocholesterolemic, cancer preventive, anti-cancer, analgesic, anesthetic, allergenic and etc.</p><p><strong>Conclusion: </strong>The findings of this study indicating that<em> L.</em> <em>leucocephala</em> leaves possess various potent bioactive compounds and is recommended as a plant of phytopharmaceutical importance.</p>


Author(s):  
Murugesh S. ◽  
Vino P.

Pisonia grandis is a traditional medicinal plant. It is commonly known as Leeachai kottai keerai. The present investigation focus on screening of phytochemical constituents, antioxidant activity and FT-IR analysis of Pisonia grandis leaf extracts. The leaf extracts were prepared using three different solvents (Aqueous, Methanol, Ethanol). The antioxidant potential of the extracts was assessed by employing different assays such as DDPH and ABTS. The screening tests also were performed for the presence of secondary metabolites such as alkaloids, flavonoids, terpenoids, phenols, steroids, saponins and tannins in the extracts. The results of FT-IR analysis confirmed the presence of alcohols, alkenes, Phenols, aromatic carboxylic acid, esters, aliphatic amines, and primary secondary amines in the ethanolic extract. It is concluded that the ethanolic extract of leaves of Pisonia grandis has potential bioactive compounds. The results of the present study suggest that the leaves of Pisonia grandis may be used as a herbal alternative to cure various diseases after various scientific validation studies


2019 ◽  
Author(s):  
Alexandra J. Boris ◽  
Satoshi Takahama ◽  
Andrew T. Weakley ◽  
Bruno M. Debus ◽  
Carley D. Fredrickson ◽  
...  

Abstract. Comprehensive techniques to describe the organic composition of atmospheric aerosol are needed to elucidate pollution sources, gain insights into atmospheric chemistry and evaluate changes in air quality. Fourier Transform Infrared absorption (FT-IR) spectrometry can be used to characterize atmospheric organic matter (OM) and its composition via functional groups on aerosol filter samples in air monitoring networks and research campaigns. We have built FT-IR spectrometry functional group calibration models that improve upon previous work. Laboratory standards that simulated the breadth of the absorbing functional groups in atmospheric OM were made: particles of relevant chemicals were first generated, collected, and analyzed. Challenges of collecting atmospherically relevant particles and spectra were addressed by including interferences of particle water and other inorganic aerosol constituents and exploring the spectral effects of inter-molecular interactions. Calibration models of functional groups were then constructed using partial least squares (PLS) regression and the collected laboratory standard data. These models were used to quantify concentrations of five organic functional groups and OM in eight years of ambient aerosol samples from the southeastern aerosol research and characterization (SEARCH) network. The results agreed with values estimated using other methods, including thermal optical reflectance (TOR) organic carbon (OC; R2 = 0.74) and OM calculated as a difference between total aerosol mass and inorganic species concentrations (R2 = 0.82). Comparisons with previous calibration models of the same type demonstrate that this new, more complete suite of chemicals has improved our ability to estimate oxygenated functional group and overall OM concentrations. Calculated characteristic and elemental ratios including OM/OC, O/C and H/C agree with those from previous work in the southeastern US, substantiating the aerosol composition described by FT-IR calibration. The median OM/OC ratio over all sites and years was 2.1 ± 0.2. Further results discussing temporal and spatial trends of functional group composition within the SEARCH network will be published in a forthcoming article.


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