Estimation of Oil Content and Fatty Acid Composition in Cottonseed Kernel Powder Using Near Infrared Reflectance Spectroscopy

Oil content and fatty acid composition in 444 ground cottonseed kernel samples were analyzed using near infrared reflectance spectroscopy (NIRS). Calibration equations were developed for oil and fatty acid contents with the modified partial least squares (MPLS) regression method. The correlations between NIRS and reference values in external validation were in agreement with the predictions in calibration. Each equation was assessed based on the relative prediction determinant for external validation (RPD_v). Equations corresponding to total oil content (RPD_v = 11.495) and linoleic acid (RPD_v = 5.026) showed high accuracy. For palmitic acid (RPD_v = 1.914), myristic acid (RPD_v = 1.724) and oleic acid (RPD_v = 1.999), the equations were predicted with relatively high accuracy while those for palmitoleic acid (RPD_v = 0.686), stearic acid (RPD_v = 0.792), linolenic acid (RPD_v = 0.475) and 1-eicosenoic acid (RPD_v = 0.619) were poorly predicted. The equations for traits with RPD_v > 1.5 could be reliably used in screening samples for breeding programs.     

Effect of plant population densities and application of growth retardants on cottonseed yield and quality

In field trials at Giza in 1986–1987, cotton cv. Giza 75 was sown at 166,000, 222,000 and 333,000 plants/ha and given foliar applications of 0, 250, 500 and 750 ppm Cycocel (chlormequat) or Alar (daminozide). As plant density increased, there was a decrease in cottonseed yield/ha, seed index, seed protein content, oil and protein yields/ha, oil refractive index, iodine value, unsaponifiable matter and unsaturated fatty acids (myristoleic, oleic and linoleic). In contrast, as plant density increased, there was an increase in oil acid value, saponification value and saturated fatty acids (caprylic, capric, lauric, tridecylic, myristic, palmitic and stearic). Application of Cycocel or Alar increased cottonseed yield/ha, seed index, seed protein content and oil and protein yield/ha, oil refractive index, iodine value, unsaponifiable matter and unsaturated fatty acids. However, there was a decrease in oil acid value and saponification value. There were no differences among application rates of either chemical on cottonseed yield/ha. The highest oil and protein yield/ha was observed with Cycocel applied at 750 ppm, followed by Alar at 250 ppm. Applying Cycocel at 250 ppm gave the highest oil refractive index and unsaponifiable matter, and the lowest acid value. Application of Alar at 250 ppm gave the highest oil iodine value and the lowest saponification value, and also at 250 or 500 ppm gave the highest oil unsaturated fatty acid composition. Interaction was positive between plant density, Cycocel and Alar and affected cottonseed yield/ha. The 166,000 plants/ha and application of Cycocel at 750 and Alar at 250 ppm are recommended for the improvement of cottonseed yield and quality.     

微生物细胞脂肪酸的组成分析

应用气相色谱—质谱联用技术(GC-MS)对微生物细胞脂肪酸的组成进行了分析.结果表明,菌体的代谢状态分为两个时期:菌体生长期和油脂积累期;菌体细胞主要积累油酸(C18:1)、软脂酸(C16:0)和棕桐油酸(C16:1);通过发酵,最终得到的微生物油脂脂肪酸组成为:油酸(C18:1)64.80％、软脂酸(C16:0)19...     

Development of calibration equations to predict oil content and fatty acid composition in brassicaceae germplasm by near-infrared reflectance spectroscopy

The use of nondestructive analytical methods is critical for the evaluation of very small seed samples such as those from germplasm collections. The objective of this study was to evaluate the potential of near-infrared reflectance spectroscopy (NIRS) for the simultaneous analysis of seed oil content and concentration of major fatty acids in intact-seed samples of the family Brassicaceae. A total of 495 samples from 56 genera and 128 species were analyzed by NIRS. The fatty acid composition of the seed oil was determined in all the samples by gas-liquid chromatography (GLC). The total seed oil content was determined by solvent extraction in 129 samples from 22 genera. Calibration equations for oil content (n=97) and individual fatty acids (n=410) were developed and tested through external validation with the samples not included in the calibration sets. The calibration equations for oil content (r ²=0.97 in validation) and concentrations of C_18:1 (r ²=0.93), C_18:3 (r ²=0.95), and C_22:1 (r ²=0.94) showed very good performance and provided reliable estimations of these traits in the samples of the validation set. The calibration equations for C_16:0, C_18:0, and C_18:2 content were less reliable, with r ² from 0.67 to 0.73. There was practically no response of NIRS to differences in C_20:1 (r ²=0.31). These results demonstrated that the oil content and concentrations of C_18:1, C_18:3, and C_22:1 can be estimated reliably within the family Brassicaceae by using NIRS calibration equations integrating broad taxonomic variability.     

Near‐infrared spectroscopy for analysis of oil content and fatty acid profile in almond flour

Almond kernels show large variability for oil content and fatty acid profile. The objective of this research was to evaluate the potential of near infrared (NIR) reflectance spectroscopy (NIRS) for the analysis of these traits in almond flour. Ground kernels of 181 accessions collected in 2009 were used for developing calibration equations for oil content and concentrations of individual fatty acids. Calibration equations were developed using second derivative transformation and modified partial least squares regression. They were validated with samples from 179 accessions collected in 2010. The accuracy of calibration equations was measured through the coefficient of determination (r²) in external validation and the ratio of the SD in the validation set to the standard error of prediction (RPD). Both r² and RPD were high for oil content (r² = 0.99; RPD = 9.24) and concentrations of oleic (r² = 0.97; RPD = 5.37) and linoleic acids (r² = 0.98; RPD = 7.35), revealing that calibration equations for these traits are highly accurate. Conversely, the accuracy of the calibration equations for palmitic (r² = 0.54; RPD = 1.41) and stearic acids (r² = 0.52; RPD = 1.44) was too low for allowing their application in practice. NIRS discrimination of oil content and concentrations of oleic and linoleic acids was mainly based on the spectral region from 2240 to 2380 nm. Practical applications : NIRS is a high‐throughput analytical technique that allows fast measurement of several traits in a single analysis without using chemical reagents. We evaluated the feasibility of analyzing oil content and concentrations of palmitic, stearic, oleic, and linoleic acids in almond flour using fruits collected during 2 years from a world germplasm collection. The fruits collected in 2009 were used for NIRS calibration, whereas the fruits collected in 2010 were used for validation. NIRS equations were highly accurate for measuring oil content and concentrations of oleic and linoleic acids, which are important traits defining the quality of almond flour for specific uses in the food industry. These results have applications both in the research laboratory and the food industry, where NIRS is becoming a widely used technique for quality control.     

单体酸组成分析及在润滑添加剂方面的应用

采用GC/MS方法测定了单体酸的主要组成:用甲酯化后的试样进行GC/MS分析,鉴定出肉豆蔻酸(12.16%)、棕榈酸(8.51%)、十八稀酸(25.53%)、硬脂酸(32.72%)等15种物质。从评价铝材轧制油添加剂的性能指标——相容性、润滑性、抗磨性、退火清洁性和抗氧化性5个方面,考察了将单体酸作为或加工成为铝材轧制油添加剂的可行性。     

Myristic Acid Enhances Diacylglycerol Kinase δ-Dependent Glucose Uptake in Myotubes

Decreased expression of diacylglycerol kinase (DGK) δ in skeletal muscles attenuates glucose uptake and is closely related to the pathogenesis of type 2 diabetes. Therefore, up‐regulation of DGKδ expression is thought to protect and improve glucose homoeostasis in type 2 diabetes. We recently determined that myristic acid (14:0), but not palmitic (16:0) or stearic (18:0) acid, significantly increased DGKδ2 protein expression in mouse C2C12 myotubes. In the current study, we analyzed whether myristic acid indeed enhances glucose uptake in C2C12 myotubes. We observed that myristic acid caused ~1.4‐fold increase in insulin‐independent glucose uptake. However, palmitic and stearic acids failed to enhance glucose uptake. DGKδ‐specific siRNA decreased myristic acid‐dependent increase of glucose uptake. Moreover, overexpression of DGKδ2 enhanced glucose uptake in C2C12 cells in the absence of myristic acid treatment. Taken together, these results strongly suggest that myristic acid enhances basal glucose uptake in myotubes in a DGKδ2 expression‐dependent manner.     

Determination of the fatty acid composition of the oil in intact-seed mustard by near-infrared reflectance spectroscopy

Near-infrared reflectance spectroscopy (NIRS) was used to estimate the fatty acid composition of the oil in intact-seed samples of Ethiopian mustard (Brassica carinata Braun) within a mutation breeding program that produced seeds with variable fatty acid compositions. Five populations, from 1992 to 1996 crops, were included in this study; and NIRS calibration equations for major fatty acids (palmitic, stearic, oleic, linoleic, linolenic, eicosenoic, and erucic) were developed within each single population. Furthermore, global calibration equations, including samples from the five populations, were developed. After external validation, the NIRS technique permitted us to obtain a reliable and accurate nondestructive estimation of the fatty acid composition of the oil, especially for the major acids—oleic, linoleic, linolenic, and erucic. For these, the r ² in external validation was higher than 0.95 by using both single-and multipopulation equations, and higher than 0.85 for the remaining fatty acids. Moreover, the multipopulation equations provided an accurate estimation of samples from a population not represented in the calibration data set, with values of coefficient of determination in validation (r ²) from 0.80 (palmitic and eicosenoic acids) to 0.97 (erucic acid). The ability of NIRS to discriminate among different fatty acid profiles was mainly due to changes within six spectral regions, 1140–1240, 1350–1400, 1650–1800, 1880–1920, 2140–2200, and 2240–2380 nm, all of them associated with fatty acid absorbers. Thus, NIRS can be used to estimate the fatty acid composition of Ethiopian mustard seeds with a high degree of accuracy, provided that calibration equations be developed from calibration sets that include large variability for the fatty acid composition of the oil.     

A rapid and simple approach to identify different sunflower oil types by means of near-infrared reflectance spectroscopy

The potential of near-infrared reflectance spectroscopy (NIRS) to perform an easy and rapid classification of different sunflower oil types was investigated. A total of 118 oil samples showing large variation in their fatty acid compositions were analyzed by both NIRS and gas-liquid chromatography (GLC). They were classified into five classes, characterized by (i) high palmitic acid content (>29%), (ii) high palmitic acid in high oleic acid background (>27 and >51%, respectively), (iii) high stearic acid content (>22%), (iv) high oleic acid content (>83%), and (v) standard oil type. Second-derivative transformation and scatter corrections were applied to the original log (1/R) spectra, and the correlation coefficients between NIRS spectral information and GLC fatty acid values were studied to identify the wavelengths with the best discriminating ability. The use of the spectral data at 2134 nm permitted all the samles with high levels of total saturated fatty acids (>29%, classes i, ii, and iii) to be discriminated from the samples with standard levels (<22%, classes iv and v). The use of a second wavelength, 2192 nm, led to a further separation of the samples with high C_18:1 content within each group (classes ii and iv, respectively). Therefore, an accurate discrimination of four of the five sunflower oil types was achieved by using the spectral information at two wavelengths exclusively. The oil samples belonging to classes i and iii could not be separated with this approach, which was explained on the basis of the small spectral differences observed between the two classes.     

Cyclopropenoid fatty acids in abutilon ramosum seed oil

Seed oil of Abutilon ramosum was found to contain the following fatty acids (wt.%): malvalic (2.48%), sterculic (1.29%), myristic (1.0%), C₁₅:0 (1.78%), palmitic (19.1%), palmitoleic (0.51%), stearic (6.53%), oleic (23.72%), linoleic (42.55%) and linolenic (0.91%). The qualitative and quantitative analysis of the fatty acids were carried out by HBr-titration and the gas-liquid chromatography of the silver nitrate-methanol-treated esters using the fatty acid esters of the oil of sterculia foetida as reference standard.     

The fatty acid composition of small and large naturally occurring milk fat globules

Native milk fat globules of various mean diameters, ranging from d₄₃ = 1.5 to 7.3 μm, were obtained using microfiltration of raw whole milk acquired in winter and spring. After total lipid extraction, fatty acid composition was characterized by methyl and butyl ester analysis using gas chromatography. The oleic and linoleic acid content of milk obtained in winter increased with fat globule size, whereas myristic and palmitic acid decreased. There was significantly more lauric, myristic and palmitoleic acid, and less stearic acid in small fat globules compared to large fat globules in milk obtained in both winter and spring. The relative content of oleic and linoleic acids were found to depend on fat globule size and season. Results are interpreted on the basis of the relative content of milk fat globule membrane depending on fat globule size, and on consequences of compositional variations on milk fat globule melting behavior.     

番荔枝籽油脂脂肪酸组成的GC-MS分析

研究了番荔枝籽油脂中脂肪酸的组成.用索氏脂肪抽提器提取番荔枝籽的油脂,并以GC-MS分析油脂脂肪酸的组成.结果表明,番荔枝籽油脂收率达29.2％;番荔枝籽油脂中含有8种脂肪酸,主要为:油酸(45.37％)、亚油酸(30.68％)、棕榈酸(13.60％)和硬脂酸(8.94％),其中不饱和脂肪酸含量达76.29％.番荔枝籽含油量高,脂肪酸种类丰富,尤其是不饱和脂肪酸含量较高,具有较高的开发利用价值.     

Does Soil Salinity Affect Yield and Composition of Cottonseed Oil?

Variation in the yield and composition of oil of cotton (Gossypium hirsutum) seed collected from two different sites (saline and non-saline) of Pakistan was examined. Hexane-extracted oil content of cottonseed from saline and non-saline areas was found to be 17.7 and 18.6%, respectively. No significant (P > 0.05) differences in the refractive index (40 °C), color, specific gravity (24 °C), iodine, free fatty acid, peroxide, unsaponifiable matter, saponification, conjugated diene and triene and p-anisidine values of the oils of cotton plants from saline and non-saline habitats were observed. Fatty acid compositional analysis showed the concentration of stearic (C_18:0) and oleic (C_18:1) acids to be significantly (P ≤ 0.05) higher, whereas that of linoleic (C_18:2) acid was lower in cottonseed oils from the saline area than those from the non-saline habitat. Tocopherol contents of cottonseed oils were significantly (P ≤ 0.05) higher from the saline area than those from the non-saline area. The results of the present study showed that soil salinity did not affect the oil yield of cottonseed, however, it significantly (P ≤ 0.05) affected the tocopherol and fatty acid profiles of the oils examined.     

Determination of seed oil content and fatty acid composition in sunflower through the analysis of intact seeds, husked seeds, meal and oil by near-infrared reflectance spectroscopy

A methodological study was conducted to test the potential of near-infrared reflectance spectroscopy (NIRS) to estimate the oil content and fatty acid composition of sunflower seeds. A set of 387 intact-seed samples, each from a single plant, were scanned by NIRS, and 120 of them were selected and further scanned as husked seed, meal, and oil. All samples were analyzed for oil content (nuclear magnetic resonance) and fatty acid composition (gas chromatography), and calibration equations for oil content and individual fatty acids (C_16:0, C_16:1, C_18:0, C_18:1, and C_18:2) were developed for intact seed, husked seed, meal, and oil. For intact seed, the performance of the calibration equations was evaluated through both cross- and external validation, while cross-validation was used in the rest. The results showed that NIRS is a reliable and accurate technique to estimate these traits in sunflower oil (validation r ² ranged from 0.97 to 0.99), meal (r ² from 0.92 to 0.98), and husked seeds (r ² from 0.90 to 0.97). According to these results, there is no need to grind the seeds to scan the meal; similarly accurate results are obtained by analyzing husked seeds. The analysis of intact seeds was less accurate (r ² from 0.76 to 0.85), although it is reliable enough to use for pre-screening purposes to identify variants with significantly different fatty acid compositions from standard phenotypes. Screening of intact sunflower seeds by NIRS represents a rapid, simple, and cost-effective alternative that may be of great utility for users who need to analyze a large number of samples.     

Determination of fatty acids and some undesirable fatty acid isomers in selected Turkish margarines

The fatty acid composition and total trans fatty acid content in 10 margarines produced in Turkey were determined by capillary gas chromatography and Fourier transform‐infrared spectroscopy (FT‐IR) spectroscopy. The fatty acid composition ranged as follows: saturated fatty acids, C16:0 (palmitic) 11.3 to 31.8% and C18:0 (stearic) 5.7 to 8.7%, monounsaturated fatty acids, C18:1 (oleic) 21.8 to 35.7% and C18:1 trans isomers 0.4 to 27.4%, polyunsaturated fatty acid, C18:2 linoleic acid 5.2 to 40.2%. Some positional isomers of C18:1 as cis‐11‐octadecenoic acid varied from 0.7 to 4.6% and cis‐13 trace to 2.4%. The total trans fatty acid contents were between 0.9 and 32.0% when measured with capillary gas chromatography and between 0 and 30.2% with FT‐IR spectroscopy. Some of the margarines analyzed contained trace amount of trans fatty acids which could not be detected by FT‐IR spectroscopy.     

Impact of development periods on chemical properties and bioactive components of safflower (Carthamus tinctorius L.) varieties

This study aimed to determine the chemical properties (fatty acid composition, oil content, sterol and tocopherol compositions) of the oils extracted from the seeds of safflower (Dinçer, Remzibey, Balci, Linas, Yenice, Olas) varieties harvested in different periods from flowering to ripening period. In parallel with the increase of harvest time, the humidity rate decreased, while the oil ratios increased. It was determined that palmitic (16:0) and stearic (18:0) acids, which are significant saturated fatty acids, and oleic (18:1) and linoleic (18:2) acids, which are unsaturated fatty acids, are quite high in the oils of all safflower varieties. These fatty acids showed significant changes from the first harvest to the last harvest. The total saturated fatty acid ratios decreased, while the amount of unsaturated fatty acids increased as the maturation progressed. The first and latest harvest samples of Dinçer, Remzibey, Balcı, Linas, Yenice, Olas cultivars were selected and their sterol and tocopherol compositions were examined. The highest level of sterol in all cultivars was β-sitosterol and the amount of sterols decreased towards full maturity. It was determined that α-tocopherol was the dominant tocopherol found in the safflower oils and the amount of tocopherol increased towards full maturity.     

Preparation and property testing of polymer blends of poly(lactic acid) and poly(butylene succinate) plasticised with long-chain fatty acids

This study investigates the influence of three fatty acids (lauric acid, palmitic acid, and stearic acid) on biodegradable polymer blends based on poly(lactic acid) (PLA) and poly(butylene succinate) (PBS), containing different weight ratios (100:0, 100:2, and 100:4) of fatty acids on the transparency, mechanical properties, morphology, contact angle, and water vapour permeability. All of the blends were pressed into thin films and tested. The experimental results showed that the properties of the samples varied with chain length and amounts of the fatty acids. Thus, it could be concluded that use of fatty acids opens up new ways for the plasticisation of PLA/PBS blends for use as new bioplastics.     

Seasonal Variations in the Fatty Acid Composition of Phospholipid and Triacylglycerol in Gonad and Liver of Mastacembelus simack

The seasonal effects on the fatty acid composition of triacylglycerol (TG) and phospholipid (PL) in the gonad and liver of Mastacembelus simack were determined using the gas chromatographic method. The most abundant fatty acids in the investigated seasons and tissues were palmitic acid (C16:0), stearic acid (C18:0), oleic acid (C18:1n‐9), palmitoleic acid (C16:1n‐7), arachidonic acid (C20:4n‐6), eicosapentaenoic acid (C20:5n‐3), and docosahexaenoic acid (C22:6n‐3). The distribution proportions of ∑SFA (saturated fatty acids), ∑MUFA (monounsaturated fatty acids) and ∑PUFA (polyunsaturated fatty acids) were found to be different among PL and TG fractions in all seasons. The total lipid content of gonad and liver were 1.32 (November)–4.90 % (September) and 1.32 (September)–3.94 % (January), respectively. It was shown that the total lipid and fatty acid compositions in the gonad and liver of fish were significantly influenced by seasons.     

Dissociation constants of long chain fatty acids in methanol-water and ethanol-water mixtures

The pK_a values of lauric acid, myristic acid, palmitic acid and stearic acid in methanol-water and ethanol-water mixtures of different compositions at 303 K and ionic strength, I=0.1M(KNO₃) have been determined. The pK_a values of the fatty acids have been found to increase with the alcohol content of the solvent. It has also been found that, in general, the pK_a values in the ethanolic solvent are greater than those in the methanolic solvent. In a given solvent mixture the observed pK_a value decreases in the order of stearic acid > palmitic acid > myristic acid > lauric acid. Departure from the predicted linearity of the plots of pK_a against the inverse of the dielectric constant, 1/D indicates that the electrostatic effects taken into account by the Born theory are not adequate enough to represent the total medium effects on pK_a.     

Effects of Chain Length of Saturated Fatty Acids on Plasma Total,LDL- and HDL-Cholesterol Levels

We conducted two clinical studies to examine the effects of diets high in stearic acid and lauric + myristic acid on plasma lipids and lipoproteins of healthy young men. In the first study subjects (n = 15) were fed whole food diets high in cocoa butter, butter, olive oil and soybean oil. In the second study, subjects were fed diets very high in saturated fatty acids (> 20% of calories) that were high in either stearic acid (from cocoa butter or milk chocolate) or lauric + myristic acid (from butter). In the first study, cocoa butter elicited a neutral cholesterolemic effect, whereas the butter diet was hypercholesterolemic and the olive oil and soybean oil diets were hypocholesterolemic. In the second study, the diets high in stearic acid did not raise plasma total and LDL-cholesterol levels, whereas, as in the first study, butter was markedly hypercholesterolemic. Regression analyses performed on the individual data from these two clinical studies were conducted to establish the cholesterolemic effects of individual fatty acids. The bestfitting linear regression equations relating ΔTC (change in plasma total cholesterol) was: ΔTC = 2.3 ΔC_14:0 + 3.0 ΔC_16:0-0.8 ΔC_18:0-1.0 ΔPUFA, where Δ fatty acid = change in intake expressed as percent of calories. This predictive equation separates stearic acid from the other long-chain saturated fatty acids and suggests that it has an independent cholesterol-lowering effect. In conclusion, stearic acid is a unique long-chain saturated fatty acid.