Jianhua Yi
Shaanxi University of Science and Technology
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Featured researches published by Jianhua Yi.
Journal of Agricultural and Food Chemistry | 2014
Jianhua Yi; Zhenbao Zhu; D. Julian McClements; Eric A. Decker
Effects of selected aqueous phase emulsifiers on lipid oxidative stability of water-in-walnut oil (W/O) emulsions stabilized by polyglycerol polyricinoleate (PGPR) were evaluated. The formation of primary oxidation products (lipid hydroperoxides) and secondary oxidation products (headspace hexanal) increased with increasing dodecyltrimethylammonium bromide (DTAB) concentration (0.1-0.2 wt % of emulsions). In contrast, the addition of sodium dodecyl sulfate (SDS) in the aqueous phase reduced lipid hydroperoxide and hexanal formation. In addition, the presence of Tween 20 in the aqueous phase did not significantly influence lipid oxidation rates in W/O emulsions compared to the control (without Tween 20). Whey protein isolate (WPI) was observed to inhibit lipid oxidation in the W/O emulsions (0.05-0.2 wt % of emulsions). Aqueous phase pH had an important impact on the antioxidant capability of WPI, with higher pH improving its ability to inhibit lipid oxidation. The combination of WPI and DTAB in the aqueous phase suppressed the prooxidant effect of DTAB. The combination of WPI and SDS resulted in improved antioxidant activity, with inhibition being greater at pH 7.0 than at pH 3.0. These results suggest that the oxidative stability of W/O emulsions could be improved by the use of suitable emulsifiers in the aqueous phase.
Food Chemistry | 2018
Leqi Cui; Jing Fan; Yifei Sun; Zhenbao Zhu; Jianhua Yi
Salts reduction/substitution have gained a lot interest from food industry since the US Food and Drug Administration (FDA) has issued a draft guidance for salt reduction. However how changes of salts in food formulation could influence lipid oxidation is still not fully understood. Using oil-in-water emulsions stabilized by a natural emulsifier - lecithin at pH 7.0 as a model system, this study evaluated how salts affect the physical parameters of the emulsion, the chelating activity of lecithin and thus the lipid oxidation of these emulsions. Results showed that salts increased the particle size, the negative charge of the oil droplets, and the amount of iron chelated by lecithin. Lipid oxidation lag phases were shortened by addition of salts, by 1 day and 2 days for lipid hydroperoxides and thiobarbituric acid reactive substances measurements respectively. These results provide some new insights on the mechanisms of how salts could affect the lipid oxidation of food emulsions.
Food Research International | 2018
Zhenbao Zhu; Weiduo Zhu; Jianhua Yi; Ning Liu; Yungang Cao; Jiali Lu; Eric A. Decker; David Julian McClements
The objective of this study was to investigate the impact of high-intensity ultrasound treatment (sonication) on the molecular, physicochemical, and functional properties of walnut protein isolate. Aqueous walnut protein suspensions were sonicated at varying power levels (200, 400 or 600 W) and times (15 or 30 min), and then any alternations in protein structure and properties were determined. SDS-PAGE demonstrated that there were no changes in protein electrophoretic patterns, indicating that sonication did not break covalent bonds. Circular dichroism spectroscopy indicated a small change in protein secondary structure after sonication, with a decrease in α-helix and increase in β-sheet, β-turn, and random coil content. There was an increase in surface free sulfhydryl (SH) groups and a decrease in fluorescence intensity after sonication, indicating that appreciable changes in tertiary structure occurred. Ultrasound reduced the size of the particles in aqueous walnut protein dispersions as confirmed by static light scattering and scanning electron microscopy, suggesting that sonication dissociated protein aggregates. Moreover, the water-solubility (+22%), emulsifying activity index (+26%), and emulsifying stability index (+41%) all increased after sonication. These results suggest that sonication is a valuable tool for improving the functional attributes of walnut proteins.
Journal of Colloid and Interface Science | 2019
Zhenbao Zhu; Ying Wen; Jianhua Yi; Yungang Cao; Fuguo Liu; David Julian McClements
HYPOTHESIS This study compared the interfacial and emulsification properties of tea saponins, quillaja saponins, and Tween 80. We hypothesized that tea saponins are an effective and sustainable source of plant-based emulsifiers that could replace synthetic or animal-based emulsifiers in many commercial applications. EXPERIMENTS Interfacial tension measurements were used to characterize the behavior of the three surfactants at an oil-water interface. The emulsifying properties of the surfactants were determined by preparing oil-in-water emulsions containing 10 wt% medium chain triglycerides (MCT) and varying surfactant levels (0.1-2 wt%) using high-pressure homogenization (pH 7). The impact of surfactant type on emulsion formation and stability was determined by measuring particle size, zeta-potential, microstructure, and creaming stability. FINDINGS The tea saponins were capable of producing nano-scale droplets (d32 < 200 nm) at low surfactant-to-oil ratios (SOR < 0.1). Emulsions containing tea saponins remained stable to droplet aggregation when exposed to various temperatures (30-90 °C), salt levels (0-200 mM NaCl), and pH values (3-9). However, droplet flocculation and/or coalescence occurred under highly acidic (pH 2) and high ionic strength (300-500 mM NaCl) conditions. Tea saponin-coated oil droplets appeared to be mainly stabilized by a combination of electrostatic and steric repulsion. The tea saponins behaved similarly or better than the other two emulsifiers under most conditions. These results suggest that tea saponins are effective plant-based surfactants that may have applications in commercial products.
Journal of Agricultural and Food Chemistry | 2018
Zhenbao Zhu; Cui Zhao; Jianhua Yi; Ning Liu; Yuangang Cao; Eric A. Decker; David Julian McClements
The impact of interfacial composition on lipid and protein co-oxidation in oil-in-water emulsions containing a mixture of proteins and surfactants was investigated. The emulsions consisted of 5% v/v walnut oil, 0.5% w/v whey protein isolate (WPI), and 0 to 0.4% w/v Tween 20 (pH 3 and pH 7). The protein surface load, magnitude of the ξ-potential, and mean particle diameter of the emulsions decreased as the Tween 20 concentration was increased, indicating the whey proteins were displaced by this nonionic surfactant. The whey proteins were displaced from the lipid droplet surfaces more readily at pH 3 than at pH 7, which may have been due to differences in the conformation or interactions of the proteins at the droplet surfaces at different pH values. Emulsions stabilized by whey proteins alone had relatively low lipid oxidation rates when incubated in the dark at 45 °C for up to 8 days, as determined by measuring lipid hydroperoxides and 2-thiobarbituric acid-reactive substances (TBARS). Conversely, the whey proteins themselves were rapidly oxidized, as shown by carbonyl formation, intrinsic fluorescence, sulfhydryl group loss, and electrophoresis measurements. Displacement of whey proteins from the interface by Tween 20 reduced protein oxidation but promoted lipid oxidation. These results indicated that the adsorbed proteins were more prone to oxidation than the nonadsorbed proteins, and therefore, they could act as better antioxidants. Protein oxidation was faster, while lipid oxidation was slower at pH 3 than at pH 7, which was attributed to a higher antioxidant activity of whey proteins under acidic conditions. These results highlight the importance of interfacial composition and solution pH on the oxidative stability of emulsions containing mixed emulsifiers.
International Journal of Food Properties | 2017
Jianhua Yi; Yifei Sun; Zhenbao Zhu; Ning Liu; Jiali Lu
ABSTRACT In the present work, 116 samples were collected and near-infrared reflectance spectroscopy prediction model for determination of moisture, protein, and fat contents of walnut meal were obtained and evaluated. All the samples were analyzed based on the chemical methods. Meanwhile, they were scanned to obtain their near-infrared reflectance spectrum in the wavelength range of 570–1840 nm. Several preprocess treatments including scattering pretreatments, mathematical pretreatments, and aggression methods were optimized to increase the accuracy of the calibration models according to the coefficient of determination for calibration (Rc2) and the cross-validation (one minus the variance ratio, 1-VR), and the standard error of calibration and cross-validation. The results showed modified partial least square loading was the better aggression method to predict the moisture, proteins, and fats in walnut kernel. The calibration equations obtained indicated that near-infrared reflectance spectroscopy had excellent predictive capacity for the three components with Rc2 = 0.965, standard error of calibration = 0.052 for moisture, and Rc2 = 0.967, standard error of calibration = 0.191 for proteins, and Rc2 = 0.979, standard error of calibration = 0.171 for fats, respectively. The external validation further confirmed the robustness and reliability of the near-infrared reflectance spectroscopy prediction models with the correlation coefficient of actual and predicted values (R2) = 0.952, ratio of performance deviation = 4.14, the standard error of prediction =0.058 for moisture, and R2 = 0.977, ratio of performance deviation = 5.55, standard error of prediction = 0.182 for proteins, and R2 = 0.990, ratio of performance deviation = 8.64, standard error of prediction = 0.191 for fats, respectively. Near-infrared reflectance spectroscopy is a reliable technology to predict these constituents in walnuts.
European Journal of Lipid Science and Technology | 2013
Jianhua Yi; Zhenbao Zhu; Wenbin Dong; David Julian McClements; Eric A. Decker
Journal of the American Oil Chemists' Society | 2015
Jianhua Yi; Wenbin Dong; Zhenbao Zhu; Ning Liu; Yong Ding; David Julian McClements; Eric A. Decker
European Journal of Lipid Science and Technology | 2015
Zhenbao Zhu; Jianhua Yi; Wenbin Dong; Jiali Lu; Yong Ding
Archive | 2018
Zhenbao Zhu; Cui Zhao; Jianhua Yi; Leqi Cui; Ning Liu; Yungang Cao; Eric A. Decker