1. Introduction
The peanut (Arachis hypogaea L.) is an important oilseed crop grown worldwide. The annual peanut output of China accounts for 36% of global production. Peanuts are rich in oil, protein, and carbohydrates, and are commonly used for peanut oil extraction and consumption as food (such as peanut butter)(Bonku & Yu, 2020; J. Ji, Liu, & Wang, 2020). Peanut oil contains about 80% unsaturated fatty acids, and other nutrients including tocopherol, phytosterol, and squalene, resulting in effective reduction of the incidence of diabetes and cardiovascular diseases, and delayed progression of atherosclerosis(F. Jiang et al., 2020).
Traditional peanut oil extraction methods include cold pressing (CP), solvent extraction (SE), and aqueous extraction (AE). The peanut oil extraction rate using CP is low, which limits its industrial application. The peanut oil extraction rate using SE is high, but problems include solvent residue and production safety. The peanut meal obtained after high-temperature desolvation can only be used as feed, leading to wasted protein resources(Diaz-Suarez et al., 2021; Fang, Fei, Sun, & Jin, 2016). AE is applied to crushed oil plants using water as the extraction medium, wherein the oil and water are then separated by utilizing the different affinities of different components in the materials for water, and differences in the oil and water densities. However, the extraction rate of AE is low, with most oil remaining in the oilseed cells in the form of oil bodies (OBs)(Chen, Li, Ren, & Liu, 2016). Aqueous enzymatic extraction (AEE) is based on AE with added enzyme preparation to enzymatically hydrolyze the oilseed cell wall, resulting in accelerated release of oil/OBs from oilseed cells(Latif, Diosady, & Anwar, 2008). Commonly used enzyme preparations are divided into protease (Alcalase 2.4L, flavor protease, papain) and glycosidase (cellulase, hemicellulase, pectinase, viscozyme L) categories(J. Li et al., 2013; X.-J. Li et al., 2016). During protease use, storage proteins and oil body interface proteins (OBIPs) are enzymatically hydrolyzed into small peptide molecules, resulting in a low protein extraction rate and oil release from inside the OBs. However, glycosidase has no effect on storage proteins and OBIPs, allowing high-quality nonenzymatic protein and intact OBs to be obtained(C. Liu, Chen, & Xia, 2022; Tabtabaei & Diosady, 2013). Owing to their good emulsification, thermal stability, and nutrient-rich properties, OBs are often used in natural emulsifiers, plant dairy products, and drug embedding, among other applications(Khor, Shen, & Kraemer, 2013; Yan, Zhao, Kong, Hua, & Chen, 2016). Accordingly, glycosidase is currently receiving greater interest.
Enzyme use is dependent on the oilseed type and cell wall composition. In previous work, our team found that viscozyme L efficiently degraded cellulose, hemicellulose, and pectin in peanut cell walls, and accelerated the release of peanut oil bodies (POBs) and proteins, with highest yields of 93.67% and 76.84%, respectively(Gao, Liu, Yao, & Chen, 2021; C. Liu, Hao, Chen, & Zhu, 2020). When peanut oil is extracted by AEE (using glycosidase), the intermediate POBs must be demulsified to release internal oil.
OBs are submicron-sized organelles that store triacylglycerols and are mainly composed of 94.21–98.17 wt% neutral lipids, 0.60–3.00 wt% OBIPs, and 0.60–2.00 wt% phospholipids(J. T. C. Tzen, Cao, Laurent, Ratnayake, & Huang, 1993). These three components form a spherical structure with a neutral lipid core and an interfacial membrane (protein–phospholipid interaction) outer layer(Penno, Hackenbroich, & Thiele, 2013). OBs can remain stable under certain environmental conditions. Their stability is mainly determined by internal factors (composition and structure of interfacial membrane) and external environmental factors (pH and temperature). When OBIPs and phospholipids are hydrolyzed by protease or phospholipase, the structure and integrity of the OB interface membrane are destroyed and the internal oil is released(L. H. Jiang, Hua, Wang, & Xu, 2010; Lamsal & Johnson, 2007). The reaction system pH is close to the isoelectric point of OBIPs, and OBs were demulsified due to the aggregation of OBIPs(Ramin & Karamatollah, 2017). Heating, freeze–thaw cycling, microwave irradiation, high-pressure CO2, inorganic salts, and enzymes can all cause OB demulsification(Dybowska & Krupa-Kozak, 2020; L. Ji et al., 2013; Lin et al., 2007; Longzheng, Fusheng, Kunlun, Tingwei, & Lianzhou, 2020; Nagao, Takahashi, Shono, & Otake, 2010; Pengfei et al., 2017). Owing to low demulsification rates, high costs, poor oil quality, and the subsequent required demulsification process, existing demulsification methods cannot meet the needs of industrial production, forcing researchers to seek new demulsification methods.
During the oil extraction process, oil is hydrolyzed to produce free fatty acids, and the hydroxyl hydrogen atom of the fatty acids can ionize to hydrogen cations. When these fatty acids reach a certain concentration, they can adjust the reaction system pH to demulsify OBs. Added fatty acids can be removed in the subsequent oil refining process. Odd-carbon fatty acids are mostly toxic, while fatty acids with more than ten carbon atoms are solid at room temperature. Therefore, even-carbon fatty acids with a carbon chain length below ten were selected for demulsification tests. In this study, POB was first extracted by AEE (viscozyme L), followed by the screening of fatty acids and optimization of the demulsification process. The oil obtained by fatty acid demulsification was compared with those obtained by pressing and Soxhlet extraction, and the demulsification mechanism was explored.
2. Materials and Methods
2.1. Materials
Peanuts (Yuhua-23) were purchased at a local market (Henan province, China). Pressed crude peanut oil and Soxhlet-extracted crude peanut oil were prepared in the laboratory. All chemicals and reagents were purchased from Aladdin Reagent Co., Ltd., and were of analytical reagent grade or higher. Viscozyme L was purchased from Novozymes (Bagsvaerd, Denmark).
2.2. Extraction of peanut oil body by aqueous enzymatic extraction
POBs were extracted using AEE as described by Li et al.(P. F. Li et al., 2017), with some modifications. Peanuts were mixed with deionized water 1:5 (w/v), soaked at 4 °C for 8 h, and washed with deionized water 2–3 times, before adding more deionized water. The water-treated peanuts were then crushed with a tissue shredder (C022E, Joyoung Co., Ltd., Shandong, China) for 2 min to form peanut milk. Viscozyme L (2.00%, v/w) was added for enzymatic hydrolysis at 50 °C for 2 h. After centrifugation at 5000 rpm for 10 min, the upper POBs were extracted and stored at 4 °C. Further analyses were performed within 24 h.
2.3. Screening of fatty acids
Using a material-to-liquid ratio of 1:5 (w/v), temperature of 60 °C, and time of 60 min, the pH value of the POB was adjusted to the POB interfacial protein isoelectric point (pH 4.50) using formic acid, acetic acid, butyric acid, caproic acid, and caprylic acid, respectively, and the demulsification rates were recorded. The demulsification rate was calculated using equation (1):
2.4. Optimization of fatty acid demulsification
The fatty acid selected from the previous experiment was used to optimize the demulsification of POBs. The optimal extraction concentration (%), material-to-liquid ratio (w/v), time (min), and temperature (°C) were determined by Box–Behnken design (BBD) using response surface methodology (RSM). The generalized polynomial model used to predict the corresponding variable is shown in equation (2):
where Y is the predicted response, β
0, β
i, β
ij, β
ii are the regression coefficients for intercept, linear, interaction and square, respectively, and X
i and X
j are the independent coded variables. The coding levels of the response surface factors are shown in the
Table 1. Design expert software Version 8 (Stat-Ease, Inc., Minneapolis, MN, USA) was used to perform data analysis and RSM.
2.5. Sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE)
SDS-PAGE was used to analyze the composition of OBIPs, as described by Zhou et al.(Zhou, Chen, Liu, Zhu, & Jiang, 2020). The POB protein content was measured by Kjeldahl nitrogen determination, with 1:1.5 (w/w) sodium lauryl sulfate added to elute OBIPs, and the lower aqueous phase extracted by centrifugation and mixed with the loading buffer in a ratio of 1:1 (v/v) to achieve a final protein content of 5 mg/mL. The concentrations of the concentrated gel and separating gel were 5% and 12%, respectively.
2.6. Physicochemical properties
The acid value and peroxide value were determined using AOCS official methods Cd 3-25 and Cd 3d-63.
2.7. Fatty acid composition
The Folch method was used to extract lipids from POB(Folch, Lees, & Sloane Stanley, 1957). The fatty acid composition was determined by gas chromatography (Agilent Technologies chromatograph model 5975 inert XL Net Work GC system) equipped with a flame ionization detector. The oil was converted into fatty acid methyl esters according to the method described by Fozo et al.(Fozo & Quivey, 2004). The gas chromatography conditions were as follows: HP-88 capillary column (100 m × 250 μm × 0.20 μm); programmed heating, increased from 140 °C (held for 1 min) to 240 °C (held for 20 min) at 4 °C/min; inlet temperature, 260 °C; flame ionization detector temperature, 260 °C.
2.8. Determination of tocol (tocopherol and tocotrienol) contents
The tocopherol and tocotrienol contents in peanut oil were determined according to the method of Ji et al.(J. Ji, Liu, Shi, Wang, & Wang, 2019). Qualitatively and quantitatively determination of was then performed according to the standard solution and standard curve.
2.9. Oxidation stability
The oxidative stability was determined by measuring the oxidation time using Rancimat apparatus (Metrohm CH series743). At 120±0.2 °C, peanut oil (5.0 g) was charged with air at a rate of 20 L/h and the volatile compounds produced by peanut oil were introduced into pure water. Resulting changes in the electrical conductivity of the pure water were then continuously observed.
2.10. Statistical analysis
All tests were performed in triplicate, data were expressed as means±standard deviation. Plots were drawn using Origin 8.5 software. Data were subjected to statistical analysis using the SPSS 17.0 software package (SPSS Inc., Chicago, IL). One-way analysis of variance (ANOVA) was used to analyze significant differences (P < 0.05).