Abstract
The volatile components obtained from the seed extract of Anthonotha Macrophylla were analyzed using gas chromatography-mass spectrometry (GC-MS). Prior to GC-MS analysis, Soxhelt extraction was carried out from the seeds of A. Macrophylla. Agilent GC-MS system comprising 6890GC model coupled with 5973 n mass selective detector was used for analysis. The GC is equipped with Agilent 7673 autosampler and a 30 m 0.25 id DB-1 MS dimethylpolysiolaxane capillary column. The MS source temperature was set at 230C and electron energy at 70V. The ionisation mode was electron ionization and the mass range was 50 to 550 while the scan time was 1 scan/min. The different compounds were identified by matching their mass spectra with the MS spectra in the NIST library. Various compounds were separated and identified but eight of these were at an elevated level. These include: n-hexadecanoic acid, n-octadecadienoic acid; cis-vaccenic acid; octadecanoic acid; hexadecanoic acid 2-hydroxy-1-(hydroxymethyl) ethyl ester; campesterol; stigmasterol and gamma-sitosterol. Key words: Gas chromatography-mass spectrometry, determination, evaluation, composition, Anthonotha macrophylla, seed oil.
Highlights
More than 80% of the world's population rely on Traditional medicine for their primary healthcare needs (Pierangeli, 2009)
In Africa, natural products have proven to be great sources of essential oils which combine the function of healthcare and nutrition
Nigeria and Africa at large are endowed with seedbearing plants, which over the years have served various purposes and yet quite a number of them remain untapped
Summary
More than 80% of the world's population rely on Traditional medicine for their primary healthcare needs (Pierangeli, 2009) This is so for the African continent (Addae-Mensah, 1992; Cunningham, 1993). Nigeria and Africa at large are endowed with seedbearing plants, which over the years have served various purposes and yet quite a number of them remain untapped. One of such underutilised plant is Anthonotha. The present work is aimed at identifying the fatty acids in the oil of A. macrophylla using gas chromatography-mass-spectrometry (GC-MS). The ionisation mode was electron ionization and the mass range of m/z 50 to 550 while the scan time was 1 scan/min. The different compounds were identified by matching their mass spectra with the MS spectra in the NIST02 library
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