模拟和设计使用葡萄茎提取物产品的成分和特性
Yuriy Grishin1, Anatoliy Kazak2, Inna Chernousova1
1"All-Russian National Research Institute of Viticulture and Winemaking" Magarach, "RAS", 298600 Yalta, Russia.
Frontiers in bioscience (Elite edition)
|January 8, 2026
概括
葡萄茎产生有价值的化合物和抗氧化活性,非常适合功能性产品. 数学模型准确地预测产品成分,帮助食品行业的配方.
科学领域:
- 食品科学 食品科学 食品科学
- 生物化学 生物化学
- 化学工程是化学工程的重要组成部分.
背景情况:
- 葡萄茎是酒的副产品,富含生物活性化合物.
- 研究葡萄茎提取物在产品开发中的潜力.
- 专注于含量和抗氧化特性.
研究的目的:
- 使用葡萄茎提取物建模和设计产品成分.
- 量化化合物和抗氧化活性.
- 开发用于预测产品成分的数学模型.
主要方法:
- 葡萄茎的水性乙醇提取.葡萄茎的水性乙醇提取.
- 使用光谱测量和HPLC测量化合物的量化.
- 通过电压计方法评估抗氧化剂活性.
- 构成预测的数学模型的开发和验证.
主要成果:
- 含量在7.95-16.40g/dm3之间;抗氧化活性在6.30-13.90g/dm3之间.
- 鉴定了非黄类化合物,如酸, Ester 和乙烯.
- 数学模型显示出强大的预测能力 (R2和RMSE验证).
- 在葡萄品种之间观察到含量和活性的显著差异 (p < 0.05).
结论:
- 葡萄茎是功能性产品开发的宝贵来源.
- 数学建模为设计产品组合提供了可靠的方法.
- 这些发现支持开发软件,以优化食品产品配方.
关键词:
抗氧化剂活性 抗氧化剂活性青酸 青酸的含量是多少cinnamic 酸 cinnamic 酸 cinnamic 酸 cinnamic 酸 cinnamic 酸 cinnamic 酸 cinnamic 酸 cinnamic 酸优化的优化优化优化.现类是存在于物质中的一种.斯蒂尔贝内斯仍然是如此.产品废弃物 产品废弃物更多相关视频
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