Fatty acid composition, analysis

Fish oil, fatty acid composition analysis, FAMES, 448 (fig.)... 

Fatty Acid Composition Analysis. Lipid extraction followed the procedures described by Bellenger et al. (9). Fatty acid methyl esters were prepared by transmethylation using 14% boron trifluoride in methanol (10), and analyzed by GLC (Hewlett-Packard model 417 GLC Hewlett-Packard, Downers Grove, IL) equipped with a flame ionization detector and a 30-m capillary fused silica column coated with Carbowax 20M (Applied Science Labs, State College, PA). Fatty acids were identified by their relative retention times in comparison with a fatty acid standard (Nu-Chek-Prep) (11). 

The Xinjiang desert micro-algae s total lipid content and fatty acid composition analysis... 

Recently, many taxonomic methods have been reported (Komagata et al. 2014 Sievers and Swings 2005a Cleenwerck and De Vos 2008), for example, isoprenoid quinone analysis and fatty acid composition analysis as chemotaxonomic methods and DNA base composition determination, and 16S-23S rRNA gene internally... 

Oils are mixtures of mixed esters with different fatty acids distributed among the ester molecules. Generally, identification of specific esters is not attempted instead the oils are characterized by analysis of the fatty acid composition (8,9). The principal methods have been gas—Hquid and high performance Hquid chromatographic separation of the methyl esters of the fatty acids obtained by transesterification of the oils. Mass spectrometry and nmr are used to identify the individual esters. It has been reported that the free fatty acids obtained by hydrolysis can be separated with equal accuracy by high performance Hquid chromatography (10). A review of the identification and deterrnination of the various mixed triglycerides is available (11). 

Analytical results are often represented in a data table, e.g., a table of the fatty acid compositions of a set of olive oils. Such a table is called a two-way multivariate data table. Because some olive oils may originate from the same region and others from a different one, the complete table has to be studied as a whole instead as a collection of individual samples, i.e., the results of each sample are interpreted in the context of the results obtained for the other samples. For example, one may ask for natural groupings of the samples in clusters with a common property, namely a similar fatty acid composition. This is the objective of cluster analysis (Chapter 30), which is one of the techniques of unsupervised pattern recognition. The results of the clustering do not depend on the way the results have been arranged in the table, i.e., the order of the objects (rows) or the order of the fatty acids (columns). In fact, the order of the variables or objects has no particular meaning. 

The application of 13C NMR for the rapid analysis of the oil composition of oil seeds is well known [16], 13C NMR has recently been applied to the quantitative analysis of the most abundant fatty acids in olive oil [17]. The values obtained by this method differed by only up to 5% compared with GLC analysis. The quantitative analysis was applied to the olefmic region of the high resolution 13C NMR spectrum of virgin olive oil to detect adulteration by other oils which differed significantly in their fatty acid composition. The application of the methodology for the detection of adulteration of olive oil by hazelnut oil is more challenging as both oils have similar chemical profiles and further experiments are in progress. 

Fenchel T, King G, Blackburn FI (1998) Bacterial biogeochemistry the ecophysiology of mineral cycling. Academic Press, London, UK Francl LJ (1993) Multivariate analysis of selected edaphic factors and their relationship to Heterodera glycines population density. J Nematol 25 270-276 Frostegard A, Tunlid A, Baath E (1993) Phospholipid fatty acid composition, biomass, and activity of microbial comunities from two soil types experimentally exposed to different heavy metals. Appl Environ Microbiol 59 3605-3617... 

Figure 13.12 Fatty acid composition of rapeseed oil, (a) before and (b) after industrial partial hydrogenation. (Courtesy of A. Stolyhwo, Transfatty acids in the human diet and the human body. Paper presented at the First International Conference on Advanced Analysis - Exploring Biological Systems in Food. Olsztyn, September 6, 2003.)...

So, clustering techniques have been used for classification. Piepponen et al. applied a hierarchical cluster analysis (CLUSTAN) to the classification of food oils (groundnut, soya, sunflower and maize) by their fatty acid composition. The dendrogram of the distances shows four weU-separated clusters. Some suspect commercial samples of sunflower oil fall near the cluster of soya oils, so far from the clainud class that they cannot be consider i genuine. 

Forina, M., Armanino, C., Lanteri, S., Tiscornia, E. Classification of Olive Oils from their Fatty Acid Composition, in Food Research and Data Analysis (Martens, H., Russwurm, H., eds.), p. 189, Applied Science Publ., Barking 1983... 

The application of several chromatographic procedures to the separation and identification of milk lipids was mainly responsible for these endeavors. The first gas-liquid chromatographic (GLC) analysis of milk fatty acids was published by James and Martin (1956). By 1960, many laboratories were using GLC for routine analysis of fatty acids. For example, Jensen et al. (1962) reported the fatty acid compositions of 106 milk samples taken during 1 year. In comparison, Hansen and Shorland (1952) analyzed only six samples in a year, using distillation of methyl esters. 

Accurate determination of lipids in foods is required for nutritional labeling, certification, or for evaluation of standard of identity and uniformity, as well as examination of their effects on functional and nutritional properties of foods. Following lipid extraction and precise quantitative analysis, lipids so obtained may be used for analysis of other lipid characteristics and properties provided that nondestructive and mild extraction procedures are employed that retain the integrity of lipids. Thus, determination of lipid classes, fatty acid composition (unit du), and oxidative state of lipids (Chapter D2), amongst others, may be pursued following the extraction process. 

Sample preparation is probably the most important step in any analytical procedure. Poor preparation of lipid samples will only yield inferior or questionable results. Some commonly performed sample-preparation procedures for gas-liquid chromatographic (GC) analysis of fatty acids in food samples are introduced in this unit. Since the introduction of gas chromatography in the 1950s, significant progress has been made in fatty acid analysis of lipids however, fatty acid methyl esters (FAMEs) are still the most commonly used fatty acid derivative for routine analysis of food fatty acid composition. 

The column is the most critical part of a GC system and is chosen based on the nature of the analysis. There are two types of columns available for GC analysis packed columns and capillary (e.g., wall coated open tubular WCOT) columns. A packed column is not the primary choice for today s routine analysis of fatty acid composition due to its low resolution and requirement for large amounts of sample. Compared to a packed column, a capillary column needs far less sample and is able to achieve superior resolution. 

Free fatty acid (FFA) analysis definition of FFA, 471 lipid composition, 471 -472, 476-477 Free induction decay (FID), 22 (fig.), 23 Free radicals lipid oxidation, 535-536 lipids, 525... 

Low-wavelength UV detection (200-210 nm) is more sensitive and permits the use of gradients but precludes the use of certain common lipid solvents, such as chloroform and acetone, which are opaque in the UV region of interest. With low-wavelength UV detection, the response will also be somewhat dependent on fatty acid composition. For these reasons the mobile phases used in lipid analysis by HPLC may seem rather strange to workers familiar with the Thin Layer Chromatography (TLC) or open column separations. 

A nonaqueous reversed-phase high-performance liquid chromatography (NARP-HPLC) with refractive index (RI) detection was described and used for palm olein and its fractions obtained at 12.5°C for 12-24 h by Swe et al. (101). The objective of their research was to find the optimum separation for analysis of palm olein triglycerides by NARP-HPLC, and to find a correction factor to be used in calculating CN and fatty acid composition (FAC). The NARP-HPLC method used to determine the triglyceride composition was modified from the method of Dong DiCesare (88). Palm olein was melted completely at 70°C in an oven for 30 min prior to crystal-... 

Consequently, a more objective way to measure the habitual intake of milk fat would be the fatty acid composition of adipose tissue. However, this is not routinely performed in larger cohort studies, due to cost and that the procedure is invasive and less tolerated by study participants. Analysis of plasma fatty acid composition is thus a more feasible option for examination to determine dairy intake in the study population. While some groups have separated plasma into its constituent phospholipids and cholesterol esters to analyze serum 15 0 and 17 0 as markers of dairy intake (Smedman et al., 1999), Baylin et al. (2005) found that plasma that was not separated into its constituent cholesteryl ester, phospholipids, and triacylglycerols was still able to reflect habitual dairy intakes comparably to adipose tissue. Thus, whole plasma is an acceptable alternative to fractionated plasma in the absence of adipose tissue for analysis to reflect habitual dairy intakes and may be a cost effective option for consideration when conducting future intervention studies to assess the affect of dairy products on health outcomes. 

The oil yields and fatty acid compositions given in the table are typical values, and can vary widely. The quality of an oil is determined principally by its fatty acid analysis. Structures of the fatty acids are shown in Table 3.1 (see page 38). 

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