Improved methods for the isolation and study of the C18, C20 and C22 monoethylenic fatty acid isomers of biological samples: Hg adducts, HPLC, AgNO3-TLC/FID, and ozonolysis

Lipids ◽  
1982 ◽  
Vol 17 (6) ◽  
pp. 469-475 ◽  
Author(s):  
J-L. Sebedio ◽  
T. E. Farquharson ◽  
R. G. Ackman
Lipids ◽  
2011 ◽  
Vol 46 (3) ◽  
pp. 297-306 ◽  
Author(s):  
Ken’ichi Ichihara ◽  
Kumiko Yoneda ◽  
Ayuko Takahashi ◽  
Noriko Hoshino ◽  
Motoyoshi Matsuda

Biomolecules ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1092 ◽  
Author(s):  
Maroula G. Kokotou

Fatty acid esters of hydroxy fatty acids (FAHFAs) constitute a class of recently identified novel lipids exhibiting anti-diabetic and anti-inflammatory effects. Due to their high biological significance, a tremendous effort has been devoted to the development of analytical methods for the detection and quantitation of FAHFAs during the last five years. The analysis of FAHFAs is very challenging due to the great number of possible regio-isomers arising from the great number of possible combinations of FAs with HFAs, and the low abundancies of FAHFAs in biological samples. The aim of this review article is to summarize all the cutting-edge analytical methodologies for the determination of FAHFAs in biological samples, plant tissues and food matrices, with emphasis on extraction and analysis steps. All the analytical methodologies rely on the use of liquid chromatography–mass spectrometry (LC-MS), providing high sensitivity due to the MS detection. Powerful and robust analytical methodologies may highly contribute in studying FAHFAs levels under various biomedical conditions, and facilitate our understanding of the role of these lipid species in physiological and pathological conditions.


2007 ◽  
Vol 34 (3) ◽  
pp. 445-476 ◽  
Author(s):  
Raquel Magri ◽  
Janine Hutson ◽  
Hugo Míguez ◽  
Héctor Suarez ◽  
Adriana Menendez ◽  
...  

A study was performed in Uruguay to estimate the prevalence of drug consumption during pregnancy. The study consisted of a survey and biological samples to validate the responses and investigate information concerning risks involved in drug consumption during pregnancy. The survey consisted of 900 face-to-face interviews performed within 48 hours after birth. Perinatal registries were taken from hospital archives. Nine hundred meconium samples were tested for alcohol, tobacco, illegal drugs, and tranquilizers. The results of the survey indicated consumption during pregnancy of the following: 41.3% tobacco, 36.8% alcohol, 16.3% tranquilizers, 68% caffeine (more than 400 mg/day), and 1.4% illegal drugs. In addition, 8.9% of the pregnancies were unplanned. Among the planned pregnancies, some physicians warned their patients about risks associated with tobacco (34%), alcohol (27%) and illegal drugs (7%). Meconium analysis revealed tobacco (cotinine), 51.8%; alcohol (fatty acid ethyl esters, or FAEES), 43.5%; and cocaine (base paste), 2.5%. Newborns whose mothers smoked tobacco presented statistically lower birth weights: 11% of all newborns at low birth weight, with health problems reported for 14.8%.


2019 ◽  
Vol 15 (6) ◽  
pp. 642-647 ◽  
Author(s):  
Murad N. Abualhasan ◽  
David G. Watson

Background: Fatty acids and other metabolites containing a carboxyl group are of high interest in biomedicine because of their major role in many metabolic pathways and, particularly in the case of oxidised fatty acids, their high biological activity. Tagging carboxylic acid compounds with a permanent positive charge such as a quaternary ammonium compound could increase the LC-MS detection sensitivity and selectivity. This paper describes a new and novel strategy for analysing carboxylcontaining compounds in biological samples by ESI-MS through coupling to choline. Methods: Coupling of carboxylic acid derivatives in biological samples was performed by coupling to 2-Fluoro-1, 3 dimethyl –pyridinium (FDMP). The variation in the fatty acid profile of five different plasma samples was studied and was illustrated by using principal components analysis (PCA) to group the samples. Orthogonal partial least squares discriminant analysis (OPLS-DA) modelling was then applied to identify the fatty acids that were responsible for the variation. Results: The test results showed that choline coupling reactions were successful in detecting fatty acids, oxidised fatty acids and other compounds containing carboxylic acid groups in biological samples. The PCA results showed loadings of different fatty acids according to the plasma sample allowing identification of the fatty acids responsible for the observed variation. Conclusion: A new and easy tagging method was developed to detect carboxylic acids in plasma samples. The method proved to be precise and reproducible and can quantify fatty acid compounds to 50 ng/ml.


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