Soybean Oil Quality Research Articles

Identification of candidate genes and genomic prediction of soybean fatty acid components in two soybean populations.

Soybean, a source of plant-derived lipids, contains an array of fatty acids essential for health. A comprehensive understanding of the fatty acid profiles in soybean is crucial for enhancing soybean cultivars and augmenting their qualitative attributes. Here, 180 F10 generation recombinant inbred lines (RILs), derived from the cross-breeding of the cultivated soybean variety 'Jidou 12' and the wild soybean 'Y9,' were used as primary experimental subjects. Using inclusive composite interval mapping (ICIM), this study undertook a quantitative trait locus (QTL) analysis on five distinct fatty acid components in the RIL population from 2019 to 2021. Concurrently, a genome-wide association study (GWAS) was conducted on 290 samples from a genetically diverse natural population to scrutinize the five fatty acid components during the same timeframe, thereby aiming to identify loci closely associated with fatty acid profiles. In addition, haplotype analysis and the Kyoto Encyclopedia of Genes and Genomes pathway analysis were performed to predict candidate genes. The QTL analysis elucidated 23 stable QTLs intricately associated with the five fatty acid components, exhibiting phenotypic contribution rates ranging from 2.78% to 25.37%. In addition, GWAS of the natural population unveiled 102 significant loci associated with these fatty acid components. The haplotype analysis of the colocalized loci revealed that Glyma.06G221400 on chromosome 6 exhibited a significant correlation with stearic acid content, with Hap1 showing a markedly elevated stearic acid level compared with Hap2 and Hap3. Similarly, Glyma.12G075100 on chromosome 12 was significantly associated with the contents of oleic, linoleic, and linolenic acids, suggesting its involvement in fatty acid biosynthesis. In the natural population, candidate genes associated with the contents of palmitic and linolenic acids were predominantly from the fatty acid metabolic pathway, indicating their potential role as pivotal genes in the critical steps of fatty acid metabolism. Furthermore, genomic selection (GS) for fatty acid components was conducted using ridge regression best linear unbiased prediction based on both random single nucleotide polymorphisms (SNPs) and SNPs significantly associated with fatty acid components identified by GWAS. GS accuracy was contingent upon the SNP set used. Notably, GS efficiency was enhanced when using SNPs derived from QTL mapping analysis and GWAS compared with random SNPs, and reached a plateau when the number of SNP markers exceeded 3,000. This study thus indicates that Glyma.06G221400 and Glyma.12G075100 are genes integral to the synthesis and regulatory mechanisms of fatty acids. It provides insights into the complex biosynthesis and regulation of fatty acids, with significant implications for the directed improvement of soybean oil quality and the selection of superior soybean varieties. The SNP markers delineated in this study can be instrumental in establishing an efficacious pipeline for marker-assisted selection and GS aimed at improving soybean fatty acid components.

SOYBEAN AND WASTE COOKING OIL BASED FEEDSTOCKS AS A SUSTAINABLE BIOFUEL

Fuel in transportation is necessary and gas release from transportation activity raises concern of pollution. Sustainable fuels sources are from biomass can convert to the alternative to the bioenergy fuel. It is actively investigated with concern in the environmental effects if using conventional fuels from reservoir of fossil fuels. Hence, to counter these consequences, Sustainable Fuels (SF) is investigated as it is considered a renewable source of fuel. Thus, this study aims to establish an experiment to determine the suitability of biomass fuel by using soybean and waste cooking oil feedstocks. An experiment is set up to produce biomass fuel by using feedstock from different biomass particularly from soybean oil, a first-generation edible feedstock and waste cooking oil, a second-generation nonedible feedstock. The method chosen to produce biomass fuel is transesterification. The experiment will test the effects of a catalyst, namely solid Potassium Hydroxide, KOH, with three levels of concentration 0.75%, 1%, and 1.5% w/w KOH. Once the biomass fuel is produced it will undergo a series of tests to study the effect of parameters such as density, kinematic viscosity, caloric value, acid value and Fatty Acid Methyl Ester (FAME). The results show that using the feedstock 0.75 w/w% of KOH, the yield of biomass fuel is the most for both feedstocks. It is noted that soybean oil yields slightly greater feedstock than waste cooking oil. The density for both feedstock is very similar at 0.87-0.88 g/cm3. The acid value of biomass fuel produced from waste cooking oil is much higher than soybean oil at 0.28 but still under the acceptance range of 0.5. The concentration of catalyst used is a major factor in the yield of biomass fuel. It is also noted that the first-generation edible feedstock of soybean oil produces greater quality of biomass fuel. Nevertheless, first-generation feedstock still poses the food competition threat in comparison to second-generation feedstock. Therefore, establishment of the second-generation feedstock from waste cooking oil produces biomass fuel that is close to the quality of soybean oil, it is a more preferred feedstock compared to soybean oil.

Investigating the effect of refining parameters on acetic acid removal and the quality of crude epoxidized soybean oil

AbstractWashing crude epoxidized oil is an indispensable step for the removal of residual acetic acid and unreacted hydrogen peroxide after epoxidation. There are many studies on the epoxidation of vegetable oils but there are many discrepancies in the washing process which likely leads to water wastage, excess use of neutralizing agent, and additional processing time. Hence, this study aims to optimize the washing step by analyzing the quality of each washing step and developing a model that can predict the amount of acid removed. Soybean oil (1.5 kg) was epoxidized at 60°C for 5.5 h using Amberlite IR 120H as a heterogeneous catalyst. To determine the optimum water washing level, process parameters such as number of washing cycles (1–5), proportion of epoxidized oil to water volume (1:0.5, 1:1, 1:2, 1:3, 1:4, 1:5), and water temperature (20, 40, and 60°C) were examined. The main responses were the residual acid value and pH of the washed epoxidized oil. Results revealed that 64% of the acid was removed after 5 washing cycles irrespective of the washing water temperature and proportion. In contrast, approximately 57% of the acid was removed in the first two washing cycles. Increasing the temperature of the water affected acid removal; with approximately 54% of acid removed at 20°C compared to 60% at 60°C. Doubling or tripling the amount of water needed above a 1:0.5 ratio did not significantly affect the amount of acid removed. The model developed was significant with a predicted R2 of 96% and a root mean square error (RMSE) of 1.1 when the model was validated at different washing scenarios. Therefore, this study shows that it is possible to significantly reduce the amount of water used and processing time while maintaining resin qualities.

Berberis integerrima bioactive molecules loaded in chitosan-based electrospun nanofibers for soybean oil oxidative protection

Natural bioactive molecules such as phenolic acids and alkaloids play a crucial role in preserving the quality and safety of food products, particularly oils, by preventing oxidation. Berberis integerrima, a rich source of such antioxidants, has been explored in this study for its potential application in soybean oil preservation. Electrospun nanofibers, composed of polyvinyl alcohol and chitosan, were fabricated and loaded with an alcoholic extract of Berberis integerrima. The antioxidant activity of Berberis integerrima was evaluated, and the phenolic compounds contributing to its efficacy were identified and quantified. The physicochemical properties of the polyvinyl alcohol /chitosan/Berberis integerrima nanofibers, including morphology, crystallinity, functional groups, and thermal stability, were characterized. The results revealed that the polyvinyl alcohol/chitosan/Berberis integerrima nanofibers exhibited high antioxidant capacity and improved the stability of Berberis integerrima, indicating their potential as effective and biodegradable materials for food preservation. This study underscores the potential of harnessing natural antioxidants from Berberis integerrima in nanofibers to enhance the quality and safety of soybean oil.

Comparison of the quality of soybean meal and oil by soybean production origin

AbstractPrevious reports indicate variable soybean quality parameters exported from different geographic regions. This review compares soybean and soybean co‐products grown under diverse environmental conditions. While numerous studies have been conducted on whole soybean and soybean meal (SBM) composition by origin, similar analysis of soybean oil is lacking. This review has two objectives: 1) summarize soybean and SBM quality by origin using a meta‐analysis approach, and 2) analyze collected crude degummed soybean oil samples that originate from the US, Brazil and Argentina for key quality attributes. Soybeans from Brazil have higher levels of protein (P < 0.05) than US soybeans, but US soybeans have lower heat damage (P < 0.05) and total damage (P < 0.05) than soybeans from Brazil. US and Brazil SBM have higher crude protein (CP) (P < 0.05) than SBM from Argentina. At equal CP content, US SBM had less fiber (P < 0.0001), more sucrose (P < 0.0001) and lysine (P < 0.0001) and better protein quality than South American SBMs. Methionine, threonine, and cysteine levels were similar in soybean protein from US and Argentina and higher than that in soybean protein from Brazil. Crude degummed soybean oil from Brazil had more (P < 0.05) free fatty acids, neutral oil loss, phosphorus, calcium and magnesium than crude degummed soybean oil from the US or Argentina. Our analysis suggests that environmental conditions under which soybeans are grown, stored, and handled can have a large impact on chemical composition and nutrient quality of soybean meal and soybean oil.

Effect of photo-oxidized Soybean Oil and Palm Olein on some biochemical parameters of Rats

The objective of this study was to determine the influence of sunlight on the quality of soybean oil (SBO) and palm olein (POL) and the consequences of their consumption on some biochemical parameters of rats. SBO and POL were purchased from the local market and divided into five (5) groups of 200 g each and transferred in transparent glass containers. One group served as control and the others exposed to sunlight 8 h/day for 15, 30, 45 and 60 days respectively. Their qualities were tested by measuring the oxidation parameters. Oil samples of days 0, 30 and 60 were administered to sixty male rats aged 28 days and some biochemical parameters evaluated. Results showed significant increase in the peroxide (PV) (8.83–62.63 meq O2 /Kg), thiobarbituric acid (TBA) (3.58–19.99 ppm), acid (AV) (0.27–0.56 % oleic acid) and a decrease in iodine value (IV) (50.45–67.57 g I2 /100 g) in photooxidized oils. Biochemical analysis revealed significant increase in Alkaline Phosphatase (ALP) (145–194 U/L), Alanine aminotransferase (ALT) (30–61 U/L), total cholesterol (16–59 mg/dl) and low density lipoprotein (LDL) (4–32 mg/dL) and triglycerides (50–83 mg/dl) in rats fed with photo-oxidized oils compared to control groups. Oils should not be exposed to sunlight.

Quality of Glycine max (soybean) and Helianthus annuus (sunflower) oils stored in different environments and their suitability for consumption

Soybean and sunflower oils contribute to the diet in many countries, serving as a source of protein, lipids and fatty acids, and repair worn-out tissues and are a useful source of energy. Their excessive or inadequate consumption may provide increased risk of developing various diseases. Sunflower seed provides 20-40% of oil and soybeans provide oil with immense advantages due to their high content of essential fatty acids. This work aimed to evaluate the physicochemical quality of soybean and sunflower oils and their effects on health. 5 samples of oils: A, sealed sunflower oil exposed to ambient light; B, sealed sunflower oil without exposure to sunlight; C, sealed soybean oil exposed to ambient light; D, unsealed sunflower oil exposed to ambient light and E, sealed soybean oil without exposure to light were evaluated by determining the acidity index, through titration with NaOH 0. 1N, peroxide index, by titration with Na2S2O3 0.01N, moisture, by dissection at 105ºC, rancidity, by qualitative method and vitamin A by iCheck Chroma. The NM 425:2012 legislation was used to verify the suitability or otherwise of the samples. Moisture ranged from 0.1 to 0.92 w/w, acidity index from 0.17 to 0.34mgKOH, peroxide index from 4 to 15.2 meq.O2/Kg, vitamin A between 13.27 and 29.95mgRe/Kg and positive rancidity. The results showed that the acidity index and vitamin A provided adequacy and the other parameters showed inadequacy for consumption.

Photoacoustic Spectroscopy Combined with Integrated Learning to Identify Soybean Oil with Different Frying Durations.

Soybean oil produces harmful substances after long durations of frying. A rapid and nondestructive identification approach for soybean oil was proposed based on photoacoustic spectroscopy and stacking integrated learning. Firstly, a self-designed photoacoustic spectrometer was built for spectral data collection of soybean oil with various frying times. At the same time, the actual free fatty acid content and acid value in soybean oil were measured by the traditional titration experiment, which were the basis for soybean oil quality detection. Next, to eliminate the influence of noise, the spectrum from 1150 cm-1 to 3450 cm-1 was selected to remove noise by ensemble empirical mode decomposition. Then three dimensionality reduction methods of principal component analysis, successive projection algorithm, and competitive adaptive reweighting algorithm were used to reduce the dimension of spectral information to extract the characteristic wavelength. Finally, an integrated model with three weak classifications was used for soybean oil detection by stacking integrated learning. The results showed that three obvious absorption peaks existed at 1747 cm-1, 2858 cm-1, and 2927 cm-1 for soluble sugars and unsaturated oils, and the model based on stacking integrated learning could improve the classification accuracy from 0.9499 to 0.9846. The results prove that photoacoustic spectroscopy has a good detection ability for edible oil quality detection.

Genome-wide scan for oil quality reveals a coregulation mechanism of tocopherols and fatty acids in soybean seeds

Tocopherols (vitamin E) play essential roles in human health because of their antioxidant activity, and plant-derived oils are the richest sources of tocopherols in the human diet. Although soybean (Glycine max) is one of the main sources of plant-derived oil and tocopherol in the world, the relationship between tocopherol and oil in soybean seeds remains unclear. Here, we focus on dissecting tocopherol metabolism with the long-term goal of increasing α-tocopherol content and soybean oil quality. We first collected tocopherol and fatty acid profiles in a soybean population (>800 soybean accessions) and found that tocopherol content increased during soybean domestication. A strong positive correlation between tocopherol and oil content was also detected. Five tocopherol pathway–related loci were identified using a metabolite genome-wide association study strategy. Genetic variations in three tocopherol pathway genes were responsible for total tocopherol content and composition in the soybean population through effects on enzyme activity, mainly caused by non-conserved amino acid substitution or changes in gene transcription level. Moreover, the fatty acid regulatory transcription factor GmZF351 directly activated tocopherol pathway gene expression, increasing both fatty acid and tocopherol contents in soybean seeds. Our study reveals the functional differentiation of tocopherol pathway genes in soybean populations and provides a framework for development of new soybean varieties with high α-tocopherol content and oil quality in seeds.

Influences of Illumination Pretreatment on Soybean Oil Activated Clay Bleaching Effects and Soybean Oil Quality Evaluation.

Visible light has been widely studied for possible applications in food industry as being a kind of clean energy. Presently, the influences of illumination pretreatment on soybean oil quality followed by conventional activated clay bleaching, including the oil color, fatty acid composition, oxidation stability, and micronutrient content, were investigated. Results demonstrated that the illumination pretreatment increased the color differences between the non-illuminated and illuminated soybean oils, which indicated that the light exposure could improve the decoloring effects. The fatty acids composition and the peroxide value (POV) and oxidation stability index (OSI) of the soybean oils showed little changes during this process. Although the illumination pretreatment affected the content of lipid-soluble micronutrients, including phytosterols and tocopherols, no significant differences could be observed (p > 0.05). Moreover, it showed that the illumination pretreatment showed significant effects for decreasing the following activated clay bleaching temperature, indicating the energy saving potential of this novel soybean oil decoloring process. The present study might provide new insights for developing eco-friendly and efficient vegetable oil bleaching technology.

Oxidative stability of sunflower and soybean oils enriched with black plum peel extract in comparison with synthetic antioxidants.

Black plum peel is the by-product of plum processing and is a valuable source of antioxidants and phenolic compounds. In this research, total phenolic compounds, total flavonoid content and antioxidant activity of black plum peel were measured. After that, black plum peel extract (in concentrations 0, 400, 800, 1200 and 2000 ppm) as a natural antioxidant for improving the stability of soybean and sunflower oil was used. The oxidative stability parameters of oils (peroxide value, free fatty acids, thiobarbituric acid, conjugated dienes, and carbonyl value) were measured at 60 °C for 4-16 days. Antioxidant activity, total phenolic compounds and total flavonoid content of black plum peel were 86.87% and 100.53 mg GA /g and 871.062 mg Quercetin/g respectively. Black plum peel extract could have a significant positive effect (P<0.05) on improvement of the quality and stability parameters of soybean oil and sunflower oil. The oxidative stability parameters for commercial oils and samples containing black plum peel extract were near each other and in an acceptable range. So, black plum peel is recommended as an oxidative stabilizer of oils and alternative synthetic antioxidants.

Chemometric Approach for the Evaluation of Quality and Thermo-Oxidative Stability of Soybean, Palm Olein and Canola Oils and Their Blends.

The objective of our study is to evaluate quality and thermo oxidative stability of soybean, palm olein, and canola oils and their blends. The binary blends of SO:POO and CO:POO were formulated in a ratio of 75:25 and ternary blend were prepared by blending CO:POO:SO in a ratio of 35:30:35. To monitor the thermal stability, pure oils and their blends were subjected to heating at 180°C for 4 hours. Heating process led to a substantial increase in free fatty acid (FFA), peroxide value (PV), p-anisidine value (p-AV), and saponification value (SV), while iodine value (IV) and oxidative stability index (OSI) were decreased. The principal component analysis (PCA) was also performed. The data indicated that three significant principal components have eigenvalue ˃ 1, which collectively constitute 98.8% of the total variance. PC1 contributed mainly with a total value of 50.1%, followed by PC2 (36.2%) and PC3 (12.5%). Results of the present study revealed that the binary and ternary blends exhibited greater oxidative stability than the pure oils. But, the ternary blend CO:POO:SO in a ratio of (35:30:35) was found to be better on the basis of stability and health point of view than other blends. Overall, our study demonstrated the utility of chemometric approaches for evaluating the quality and stability of vegetable oils and their blends, which can be helpful in the selection and optimization of oil blends for food applications.

4D genetic networks reveal the genetic basis of metabolites and seed oil-related traits in 398 soybean RILs

BackgroundThe yield and quality of soybean oil are determined by seed oil-related traits, and metabolites/lipids act as bridges between genes and traits. Although there are many studies on the mode of inheritance of metabolites or traits, studies on multi-dimensional genetic network (MDGN) are limited.ResultsIn this study, six seed oil-related traits, 59 metabolites, and 107 lipids in 398 recombinant inbred lines, along with their candidate genes and miRNAs, were used to construct an MDGN in soybean. Around 175 quantitative trait loci (QTLs), 36 QTL-by-environment interactions, and 302 metabolic QTL clusters, 70 and 181 candidate genes, including 46 and 70 known homologs, were previously reported to be associated with the traits and metabolites, respectively. Gene regulatory networks were constructed using co-expression, protein–protein interaction, and transcription factor binding site and miRNA target predictions between candidate genes and 26 key miRNAs. Using modern statistical methods, 463 metabolite–lipid, 62 trait–metabolite, and 89 trait–lipid associations were found to be significant. Integrating these associations into the above networks, an MDGN was constructed, and 128 sub-networks were extracted. Among these sub-networks, the gene–trait or gene–metabolite relationships in 38 sub-networks were in agreement with previous studies, e.g., oleic acid (trait)–GmSEI–GmDGAT1a–triacylglycerol (16:0/18:2/18:3), gene and metabolite in each of 64 sub-networks were predicted to be in the same pathway, e.g., oleic acid (trait)–GmPHS–d-glucose, and others were new, e.g., triacylglycerol (16:0/18:1/18:2)–GmbZIP123–GmHD-ZIPIII-10–miR166s–oil content.ConclusionsThis study showed the advantages of MGDN in dissecting the genetic relationships between complex traits and metabolites. Using sub-networks in MGDN, 3D genetic sub-networks including pyruvate/threonine/citric acid revealed genetic relationships between carbohydrates, oil, and protein content, and 4D genetic sub-networks including PLDs revealed the relationships between oil-related traits and phospholipid metabolism likely influenced by the environment. This study will be helpful in soybean quality improvement and molecular biological research.

Novel Allele of FAD2-1A from an EMS-Induced Mutant Soybean Line (PE529) Produces Elevated Levels of Oleic Acid in Soybean Oil

Soybean seed oils contain approximately 23% oleic acid, and elevated amounts of oleic acid help prevent cardiovascular diseases and improve the quality of the oil. Chemically, it helps maintain the oxidative stability of oil; hence, soybean breeders primarily seek to increase its concentration for improved oil quality. As soybean seeds with mutant alleles of FAD2-1A and FAD2-1B genes have been reported to produce approximately 80% of oleic acid, a mutant population was developed from an ethyl methanesulfonate (EMS)-induced soybean cultivar (Pungsannamul). From this, a new mutant allele of FAD2-1A was identified using mutant lines with elevated oleic acid levels and the pooled-DNA sequencing method. This study identified PE529 as the allele with &gt;40% oleic acid carrying the novel allele of the FAD2-1A gene. The single nucleotide polymorphism (SNP) in PE529 also induced the conversion from tryptophan to a premature stop codon at position 293 in the amino acid sequence (W293STOP). The inheritance analysis showed that the elevated oleic acids in PE529 were attributed to the fad2-1a W293STOP allele. In this study, seeds capable of producing approximately 80.0% oleic acid were identified from F2 populations where fad2-1a W293STOP and fad2-1b alleles were segregated. Hence, soybeans with novel alleles are useful genetic resources to improve soybean oil quality in breeding programs.

Effect of extraction methods on the efficiency of sumac (Rhus coriaria L.) fruit extract in soybean oil quality during accelerated conditions.

Herbal extracts containing natural bioactive substances with numerous beneficial effects have been recently noticed as appropriate alternatives for synthetic food preservatives. In this study, we aimed to optimize the effects of different sumac (Rhus coriaria) fruit extracts (SFE) on oxidative stability of soybean oil under accelerated conditions compared to a synthetic antioxidant. Hydro‐ethanolic extracts (70%) of sumac fruits were prepared by three methods of immersion (I‐SFE), ultrasound (U‐SFE), and microwave (M‐SFE). According to the response surface methodology (RSM), 13 runs were considered in the concentrations of 0, 500, and 1000 ppm of each extract that were added to the soybean oil and stored at 60°C for a 20‐day period. All of the treatments were significantly (p < .05) efficient in preventing the chemical and sensory changes of soybean oil compared to the control in the dose‐dependent manner during storage period. I‐SFE treatment showed the lowest peroxide value (PV) (0.000063 meq (milliequivalents) O2/kg oil), thiobarbituric acid reactive substances (TBARS) (115.06 MDA (malondialdehyde)/kg oil), and acid value (0.0169 mg KOH (potassium hydroxide)/kg oil) among the other extracts at the end of the storage period. Furthermore, I‐SFE treatment earned the highest sensory scores (flavor, color, odor, and overall acceptability) of soybean oil in the range of 4–5 in comparison to the other treatments and synthetic antioxidant during storage time. According to the analysis of RSM, I‐SFE in the concentration of 999.998 ppm could optimally enhance the shelf life of soybean oil for 11.3614 days under accelerated conditions. It was concluded that I‐SFE with the same efficiency as synthetic antioxidants can be considered as a suitable alternative in soybean oil with various health benefits.

The effect of rice bran extract on the quality indices, physicochemical properties and oxidative stability of soybean oil blended with various oils

Soybean oil (SBO) is an edible vegetable oil of importance although, prone to degradation owing to its low oxidative stability. Blending of soybean oil with potentially stable oils and incorporation of antioxidants from low-cost resources such as rice bran is a potential channel of improving oil stability. The study evaluated the effect of partial blending (20, 40%) of SBO with sesame oil (SSO) and or cashew nut oil (CNO), the effect of incorporating rice bran extract in oil and exposure to repeated high temperature during use for frying on the physicochemical properties, oxidation parameters, fatty acid profile and color attributes of the oil blends using standard methods. Results showed that blending of soybean oil with either sesame and or cashew nut oil significantly improved the properties and quality of crude soybean oil as shown in the reduced peroxide value, free fatty acid (12.20 meq O2/kg, 12.78% in SBO, 7.90 to 8.90 meq O2/kg, 11.04 to 11.66% in blended oils respectively). Oleic (41.91%) and linoleic acid (15.57%) are the most abundant unsaturated fatty acids in SBO, blending significantly increased their values to 62.41% (SBCS - 60% SBO, 20% SSO, 20% CNO), 63.78% (SBS - 80% SBO, 20% SSO) and 20.03% (SBCS), 21.17% (SBS) respectively in blended oils. Also, inclusion of 500 ppm ethanolic rice bran extract was most appropriate in enhancing the stability of oil. In conclusion, blending of SBO with SSO and or CNO as well as incorporation of rice bran extract to blended oils has potential to reduce oxidative indices and improve thermal stability of composite oil.

Novel Water-Oil Mixed Frying: Fried Oil Quality and the Formation of Heterocyclic Amines and Trans Fatty Acids in Fried Duck.

The present study was conducted to explore the impact of novel water–oil mixed frying and traditional oil frying methods on the soybean oil quality and formation of trans fatty acids (TFAs) and heterocyclic amines (HCAs) in fried duck breast and skin during 60 frying cycles. The acid value of the soybean oil was 2.10 mg/g using the traditional oil frying and 1.08 mg/g using water–oil mixed frying at the 60th frying cycle. The peroxide value of the water–oil mixed fried soybean oil was significantly lower than that of the traditional frying method. Water–oil mixed frying delayed the formation of TFAs in the soybean oil. The traditionally oil fried skin showed increased TFAs (9tC16:1) content from 0.17 to 0.22 mg/g (29.4% increase), while those of the water–oil mixed fried samples increased from 0.16 to 0.20 mg/g (25.00% increase) compared to control. Harman, Norharman and AαC were detected in all the fried samples and PhIP was observed after the 20th frying cycle, while MeAαC was formed only at the 60th frying cycle in traditional fried duck breast. Therefore, it is concluded that the water–oil mixed frying method is more suitable to improve the quality and safety of fried duck skin and breast meat.

Improvement of thermo-resistance and quality of soybean oil by blending with cold-pressed oils using simplex lattice mixture design

Soybean oil is the most consumed oil worldwide due to its cheapness but presented a weak thermo-resistance due to its richness in poly-unsaturated fatty acids. This study aims to improve the thermo-stability of refined soybean oil by blending it with some cold-pressed oils. For this, cold-pressed and soybean oils were firstly characterized (K232, K270, acidity, peroxide value, iodine value, induction time, phenolic contents, and antioxidant activity). Then, binary blends of each cold-pressed oil (30%) with soybean oil (70%) were analyzed before and after heat treatment (170 °C for 10 h/day for 5 days) followed by the application of the simplex lattice mixture design in order to optimize the combination of the three best cold-pressed oils. The changes in fatty acid profiles were assessed by gas chromatography (GC-FID). The results revealed that soybean oil presented the best physicochemical traits, while cold-pressed oils expressed high levels of phenolic contents and antioxidant activities. From the six binary oil blends, soybean oil mixed with lentisk, sesame, or almond oils were selected for their best thermo-stability. The simplex lattice mixture design, applied for these three chosen oils, indicated that the combination of soybean oil (70%) with lentisk and sesame oils (17.7 and 12.3%, respectively) was considered the optimal blend that gives the maximal thermo-stability improvement to soybean oil. GC-FID analysis showed that fatty acids, particularly linoleic and linolenic acids, were more conserved after heat-treatment in optimal oils blend than soybean oil. This study clearly demonstrated that lentisk and sesame oils enhanced the thermo-resistance of soybean oil, and the findings of this study could be used as an integrated model in oil and fat industries.

Construction and Functional Analysis of CRISPR/Cas9 Vector of FAD2 Gene Family in Soybean

Soybean oleic acid content is one of the important indexes to evaluate the quality of soybean oil. In the synthesis pathway of soybean fatty acids, the FAD2 gene family is the key gene that regulates the production of linoleic acid from soybean oleic acid. In this study, CRISPR/Cas9 gene editing technology was used to regulate FAD2 gene expression. Firstly, the CRISPR/Cas9 single knockout vectors GmFAD2-1B and GmFAD2-2C and double knockout vectors GmFAD2-2A-3 were constructed. Then, the three vectors were transferred into the recipient soybean variety Jinong 38 by Agrobacterium-mediated cotyledon node transformation, and the mutant plants were obtained. Functional analysis and comparison of the mutant plants of the T2 and T3 generations were carried out. The results showed that there was no significant difference in agronomic traits between the CRISPR/Cas9 single and double knockout vectors and the untransformed CRISPR/Cas9 receptor varieties. The oleic acid content of the plants that knocked out the CRISPR/Cas9 double gene vector was significantly higher than that of the single gene vector.

Assessment of potentials of Moringa oleifera seed oil in enhancing the frying quality of soybean oil

Abstract This study investigated the effects of mixing Moringa oleifera seed oil with soybean (Glycine max) seed oil in enhancing the physical and chemical properties of soybean oil during repetitive frying. Different blends (100:0, 50:50, and 70:30) of soybean and M. oleifera seed oils were formulated, while soybean oil served as control. All these oil samples were used for frying potato (Ipomoea batatas) slices. The quality of the fried oil samples was evaluated by determining the smoke point, refractive index (RI), viscosity, colour, peroxide value, iodine value, and free fatty acid (FFA). The range of values obtained were smoke point (158.7–172.3°C), RI (1.46–1.49°C), colour (6.0–9.42), viscosity (0.41–2.13 mm2/s), peroxide value (0.93–5.16 meq/kg), iodine value (87.16–64.71 mg/100 g), and FFA (0.3–1.95%), for different blends of soybean and M. oleifera seed oils and control. In terms of changes in the chemical and physical properties, during frying, soybean/M. oleifera seed oil mix of 70:30 had the lowest reduction in iodine value (87.56–68.73 mg/100 g), lowest increase in peroxide value (0.93–1.86 meq/kg) and FFA value (0.3–0.65%), while no changes in RI (1.47°C) was observed. The study revealed that mixing of soybean seed oil with M. oleifera seed oil at a ratio of 70:30 enhanced the physical and chemical properties of the soybean oil after two repetitive frying.