scholarly journals DETERMINATION OF FATTY ACIDS IN SOLANUM SURATTENSE BURM. F. BY USING GAS CHROMATOGRAPHY

Author(s):  
Raman Preet ◽  
Raghbir Chand Gupta

  Objective: This study aims to document the fatty acid composition of Solanum surattense Burm. f. collected from hot desert of India, Rajasthan.Methods: The fatty acid analysis was performed by gas chromatography-flame ionization detector (GC-FID). The operating conditions used to examine methyl esters of fatty acids are as follows. Fatty acids were converted into methyl esters (FAMEs) before GC analysis according to the standard methods by Ranganna (1986). Quantitative determinations of FAMEs were conducted using GC-FID and capillary column HP-88 Agilent Technologies.Results: The most abundant fatty was palmitic acid (13.2%), oleic acid (22.9%), and linoleic acid (11.9%). This plant is good source of important fatty acids including all the groups of saturated, monounsaturated, and polyunsaturated fatty acids (MUFAs and PUFAs) and can be used as a commercial source of fatty acids especially MUFAs and PUFAs.Conclusion: The plant is well studied for various pharmacological activities such as antiasthmatic, anticancer, cardiovascular, and hepatoprotective. Determination of fatty acid profiles in nutritional and clinical research with precision and fastness has become popular for human health and basic research.

2010 ◽  
Vol 88 (9) ◽  
pp. 898-905 ◽  
Author(s):  
Liyan Liu ◽  
Ying Li ◽  
Rennan Feng ◽  
Changhao Sun

A method for simultaneous determination of 16 free fatty acids (FFAs) in serum is described. The method involves conversion of FFAs to fatty acid methyl esters (FAMEs) using the heat of ultrasonic waves followed by gas chromatography and mass spectrometry (GC–MS) analysis. Optimum levels of the variables affecting the yield of FAMEs were investigated. The results indicate that the optimal levels are 55 °C, 60 W, 10% H2SO4/CH3OH, and 50 min. Recoveries ranged from 85.32% to 112.11%, with a detection limit ranging from 0.03 to 0.08 μg mL–1. The linearity, using the linear correlation coefficient, was higher than 0.9914.


Química Nova ◽  
2020 ◽  
Author(s):  
Diégina Fernandes ◽  
Otemberg Chaves ◽  
Yanna Teles ◽  
Maria Agra ◽  
Maria Vieira ◽  
...  

Previous researches showed that fatty acids analysis might be a useful tool to support the taxonomic investigation. In this approach the fatty acids content of ten Malvoideae species was analyzed and its chemotaxonomic significance has been investigated. The aerial parts of the species were collected in the Northeast of Brazil and their fatty acid methyl esters were analyzed by gas chromatography with flame ionization detector. The chemometric analysis consisted of principal component analysis (PCA) and hierarchical clustering analysis (HCA) with the euclidean distance between the samples given by the Ward.D2 algorithm. This is the first report of fatty acids from Wissadula peripocifolia, Herissantia crispa, Bakeridesia pickelii, Sidastrum micranthum, Pavonia cancellata and Pavonia malacophylla. The results showed the predominance of palmitic (C16:0), oleic (C18:1) and linoleic (C18:2) acids in the studied species. By the PCA and HCA analysis, the fatty acid composition was able to distinguish the species Herissantia crispa and Pavonia malacophylla. Our findings showed a chemotaxonomic proximity among species from different genera reflecting the taxonomic and phylogenetic closeness previously demonstrated by molecular investigations on Malvoidae species. Furthermore, our results demonstrated that the fatty acid analysis may be an interesting tool to support the taxonomic investigations on Malvoideae species.


2016 ◽  
Vol 36 (03) ◽  
pp. 308 ◽  
Author(s):  
Moh Taufik ◽  
Hanifah Nuryani Lioe ◽  
Nancy Dewi Yuliana

The fatty acid composition of palm oil is the major factor influencing its physical and chemical properties. The purpose of this research was to evaluate the analytical performance of major fatty acids (palmitic acid, stearic acid, oleic acid, and linoleic acid) analysis in palm oil. Triglycerides of palm oil were derivatized to fatty acid methyl esters (FAMEs) by using boron trifluoride (BF3) in methanol. FAMEs were determined by gas chromatography-flame ionization detection (GC-FID) using DB-23 capillary column as stationary phase. The studied parameters were instrument performance analysis, the efficiency of fatty acid derivatization, stability of derivatized analytes, accuracy, repeatability, intra-lab reproducibility, ruggedness, and method uncertainty. The evaluation results showed the instrument linearity at a working range of 5 to 40 mg/mL marked by coefficient of determination (R2) between 0.991-0.995. Instrument limits of detection (LOD) and instrument limits of quantification (LOQ) for 4 major fatty acids analysis were 26-35 µg/mLand 86-128 µg/mL, respectively. The increase of fatty acid concentration led to the decrease of derivatization efficiency in the fatty acids analysis. The result also showed that derivatized analytes were stable during 24 h storage at freeze temperature. The average recovery values by spiking method with the spiking concentration at 50 and 90 mg/g sample were at 75-94 % for stearic and linoleic acids analysis, however those for palmitic and oleic acids analysis were considered very low (<40 %), due to their low derivatization efficiency. Repeatability and intra-lab reproducibility of 4 major fatty acids analysis were at acceptable ranges, 0.45-1.38 % and 1.15-2.03 %, respectively. Determination by varying the volume of derivatizing agent showed the rugged method. Uncertainty of repeatability (Ur) and uncertainty of reproducibility (Ur) were ranged at 1.84-9.02 mg/g and 1.40-10.65 mg/g, respectively. This method was considerably reliable for the analysis of less abundance fatty acids in palm oil, stearic and linoleic acids.


2016 ◽  
Vol 39 (22) ◽  
pp. 4377-4383 ◽  
Author(s):  
Roman Kanďár ◽  
Petra Drábková ◽  
Lenka Andrlová ◽  
Adam Kostelník ◽  
Alexander Čegan

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 111-112
Author(s):  
Thu Dinh

Abstract Fatty acids determine the physical and chemical properties of fats. Animal fats, regardless of species, have more saturated and monounsaturated than polyunsaturated fatty acids. The major fatty acids in meat are palmitic (16:0), stearic (18:0), palmitoleic (16:1), oleic (18:1), linoleic (18:2), and linolenic (18:3) acids, among which oleic acid is the most predominant. Arachidonic acid (20:4 cis 5,8,11,14) is an essential fatty acid only found in animal fats and can be used as a quality control indicator in the fatty acid analysis. Fatty acid analysis has been traditionally performed by gas chromatography (GC) of volatile fatty acid derivatives, prominently the methyl esters, and flame ionization detection (FID), in which the carbon chain of fatty acids is degraded to the formylium ion CHO+. The FID is very sensitive and is the most widely used detection method for GC, providing a linear response, i.e., peak area, over a wide range of concentrations. Researchers have been used the FID peak area to calculate the percentages of fatty acids. However, the FID is a “carbon counter” and relies on the “equal per carbon” rule; therefore, at the same molar concentration, fatty acids with a different number of carbons produce different peak areas. The recent development of mass spectrometry technology has improved the specificity of fatty acid detection. Specific target and qualifier ions provide better identification and more accurate quantification of fatty acid concentrations. Although fatty acids can be identified through comparing ion fragmentation with various databases, authentic standards are needed for quantification purposes. Using mass spectrometry, more than 50 fatty acids have been identified in meat samples. Some branched-chain fatty acids may have flavor, safety, and shelf life implications in meat products.


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