School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an 710021, China.
College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710119, China.
Nutrients. 2018 Jun 20;10(6):797. doi: 10.3390/nu10060797.
Antioxidant peptides are currently the focus of many studies, since they eliminate free radicals in the human body without harmful effects. In the present study, L61 was used as a starter culture to ferment goat milk because of its high capacity to produce antioxidant peptides. An optimal nutrients formula (casein, casein peptone, glucose, soybean peptone, inulin, calcium lactate, and cysteine) was investigated by Plackett⁻Burman (P⁻B) and Box⁻Behnken (B⁻B) designs for response surface methodology (RSM). Antioxidant peptides were successively isolated and purified from the fermented goat milk. Furthermore, the stability of the antioxidant peptides was evaluated in a simulated gastrointestinal tract at 37 °C. The results showed that calcium lactate, glucose, and casein peptone significantly affected the antioxidant activity of goat milk. The optimal additive amounts were 0.99% (/) calcium lactate, 0.21% (/) glucose, and 0.29% (/) casein peptone. The hydroxyl free radical scavenging rate increased significantly ( < 0.001) from 56.50 ± 0.57% to 88.01 ± 0.69%; the 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging rate increased up to 63.48 ± 1.22% under the optimal conditions ( = 3). Our research provides a fitted mathematical model for antioxidant peptides production. Besides, these antioxidant peptides had great stability during simulated gastrointestinal digestion.
抗氧化肽目前是许多研究的焦点,因为它们可以消除人体内的自由基,而没有副作用。在本研究中,由于 L61 具有产生抗氧化肽的高能力,因此将其用作发酵羊奶的起始培养物。通过 Plackett-Burman(P-B)和 Box-Behnken(B-B)设计响应面法(RSM)研究了最佳营养配方(酪蛋白、酪蛋白胨、葡萄糖、大豆胨、菊粉、乳酸钙和半胱氨酸)。从发酵羊奶中连续分离和纯化抗氧化肽。此外,在 37°C 的模拟胃肠道中评估了抗氧化肽的稳定性。结果表明,乳酸钙、葡萄糖和酪蛋白胨显著影响羊奶的抗氧化活性。最佳添加量分别为 0.99%(/)乳酸钙、0.21%(/)葡萄糖和 0.29%(/)酪蛋白胨。羟基自由基清除率从 56.50 ± 0.57%显著增加(<0.001)至 88.01 ± 0.69%;1,1-二苯基-2-苦基肼(DPPH)自由基清除率在最佳条件下提高至 63.48 ± 1.22%(= 3)。我们的研究为抗氧化肽的生产提供了一个拟合的数学模型。此外,这些抗氧化肽在模拟胃肠道消化过程中具有很好的稳定性。