PHYTOCHEMICAL ANALYSIS OF LEAVES OF TEAK (TECTONA GRANDIS L.F.) BY GC MS

2017 ◽  
Vol 4 (1) ◽  
pp. 75-78
Author(s):  
Greeshma M ◽  
Manoj G.S ◽  
Murugan K

The timber value of Tectona grandishas been established from decades. Teak is an exotic species cultivated along most parts of tropical regions. Anthocyanins are natural colourants which have raised a growing demand due to their extensive range of colours, innocuous and beneficial health effects. Anthocyanins belong to large group of polyphenolics - flavonoids, which are secondary metabolites synthesized by higher plants. Despite the remarkable application of anthocyaninsin food, pharmaceutical and cosmetic industries, still it is not properly exploited. In the present study, the bioactive components of Tectonagrandisyoung leaves have been evaluated using Perkin-Elmer Gas chromatography-Mass spectrometry. GC-MS analysis revealed the existence of eleven compounds. 5,9-Methanobenzocycloocten1(2H)-one,3,4,5,6,7,8,9,10-octahydro-5,10-dihydroxy-3,3,7,7,9-pentamethyl(76.02%) and 1-naphthalene carboxylic acid, 5-[2-(3-furanyl)ethyl]decahydro-1,4a-dimethyl-6-methylene-[1R-(1.alpha.,4a.)] (13.95%). Other compounds present in minor quantities were ledol(0.92%), 3-Buten-2-one,4-(2,6,6-trimethyl-1- cyclohexen-1-yl)orionone(0.49%),9,12,15 Octadecatrienoic acid, methyl ester, (Z,Z,Z)- or Linolenic acid methyl ester (0.82%), Phytol(0.69%), Cedran-diol, 8S,14- (0.60%), Lupeol (0.71%), 3-Methoxymethyl2,5,5,8a-tetramethyl-6,7,8a-tetrahydro-5H-chromene (3.45%) and Retinol(1.27%). This is the first report of identification of active constituents from the young leaves of Tectonagrandis

2021 ◽  
Vol 11 (12) ◽  
pp. 5413
Author(s):  
Keiko Iwasa ◽  
Harumichi Seta ◽  
Yoshihide Matsuo ◽  
Koichi Nakahara

This paper reports on the chemical compounds in arabica coffee beans with a high Specialty Coffee Association (SCA) cupping score, especially those in specialty coffee beans. We investigated the relationship between the chemical compounds and cupping scores by considering 16 types of Coffea arabica (arabica coffee) beans from Guatemala (SCA cupping score of 76.5–89.0 points). Non-targeted gas chromatography-mass spectrometry-based chemometric profiling indicated that specialty beans with a high cupping score contained considerable amounts of methyl-esterified compounds (MECs), including 3-methylbutanoic acid methyl ester (3-MBM), and other fatty acid methyl esters. The effect of MECs on flavor quality was verified by spiking the coffee brew with 3-MBM, which was the top-ranked component, as obtained through a regression model associated with cupping scores. Notably, 3-MBM was responsible for the fresh-fruity aroma and cleanness of the coffee brew. Although cleanness is a significant factor for specialty beans, the identification of compounds that contribute to cleanness has not been reported in previous research. The chemometric profiling approach coupled with spiking test validation will improve the identification and characterization of 3-MBM commonly found in arabica specialty beans. Therefore, 3-MBM, either alone or together with MECs, can be used as a marker in coffee production.


2021 ◽  
Author(s):  
Romana Parveen ◽  
Tooba Naz Shamsi ◽  
Sadaf Fatima

AbstractThe methanolic extract of sandalwood (SwME) was prepared by soxhlet apparatus and the antibacterial assay was performed. Further, the metabolite profiling of SwME and lysates of E. coli and E. coli grown in the presence of SwME was generated. SwME showed maximum inhibition against E. coli (MTCC 443) i.e. 82.71%, and minimal against B. subtilis (MTCC 736) i.e. 26.82%. The metabolome profiles of E. coli and SwME were generated using gas chromatography-mass spectrometry (GC-MS) technique. Comparative studies were done to understand to what extent metabolite modifications differ between SwME, E. coli lysate and the E. coli strain grown in presence of extract. Result revealed 23 peaks with major compounds present in E. coli were 9-Octadecenoic Acid (Z)-, Methyl Ester (26.85%), Hexadecanoic Acid, methyl ester (20.5%) and Hexadecanoic acid, trimethylsilyl ester (15.79%). When E. coli was grown in the presence of SwME, GC-MS analysis showed 25 peaks with major compounds such as 9-Octadecenoic Acid, Methyl Ester (21.97%), Hexadecanoic Acid, Methyl Ester (17.03%), and Hexadecanoic Acid, Trimethylsilyl Ester (14.96%). Correlating the metabolic profiles with the changes occurring is essential to progression their comprehension and in the development of new approaches to identify the metabolomics regulation in E. coli in response to SwME.


1990 ◽  
Vol 7 (2-4) ◽  
pp. 347-352 ◽  
Author(s):  
S. Caffieri ◽  
A.W.M. Lefeber ◽  
F. Dall'Acqua ◽  
G.M.J.Beijersbergen van Henegouwen

Separations ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 32
Author(s):  
Christiaan A. Rees ◽  
Marco Beccaria ◽  
Flavio A. Franchina ◽  
Jane E. Hill ◽  
Giorgia Purcaro

Carbapenem-resistant Klebsiella pneumoniae (CRKP) is one of the most extensively antibiotic-resistant pathogens encountered in the clinical setting today. A few studies to-date suggest that CRKP and carbapenem-susceptible K. pneumoniae (CSKP) differ from one another not only with respect to their underlying genetics, but also their transcriptomic and metabolomic fingerprints. Within this context, we characterize the fatty acid methyl ester (FAME) profiles of these pathogens in vitro. Specifically, we evaluated the FAME profiles of six Klebsiella pneumoniae carbapenemase (KPC)-producing isolates belonging to the CC258 lineage (KPC+/258+), six KPC-producing isolates belonging to non-CC258 lineages (KPC+/258−), and six non-KPC-producing isolates belonging to non-CC258 lineages (KPC−/258−). We utilized a single-step sample preparation method to simultaneously lyse bacterial cells and transesterify the lipid fraction, and identified 14 unique FAMEs using gas chromatography-mass spectrometry. The machine learning algorithm Random Forest identified four FAMEs that were highly discriminatory between CC258 and non-CC258 isolates (9(Z)-octadecenoate, 2-phenylacetate, pentadecanoate, and hexadecanoate), of which three were also significantly different in relative abundance between these two groups. These findings suggest that distinct differences exist between CC258 and non-CC258 K. pneumoniae isolates with respect to the metabolism of both fatty acids and amino acids, a hypothesis that is supported by previously-acquired transcriptomic data.


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