结论

葡萄酒无疑是一个非常复杂的分析矩阵。 其化学和仪器分析通常需要对样品进行预处理，以消除那些会干扰分析的化合物。 这种额外的程序既费时又费钱。 91免费福利导航已经通过统计分析表明，一些最重要的酿酒参数与表面张力显着相关。 乙醇浓度已被证明是其中最好的负相关参数。 从 20 个葡萄酒样品的分析中获得的线性预测模型非常有效，因为它可以解释高达近 91% 的乙醇含量变化。 通过包括 30 个以上的样本来扩展模型产生了令人满意的结果。 提议的线性模型解释了 81% 的乙醇含量变化，估计的标准误差为 0.36% (v/v)，为酿酒师进行常规分析提供了一个有趣的工具。 必须进行更深入的研究，以便为蛋白质和单宁等化合物建立可靠的类似预测模型，否则需要费力的方法来确定它们。

致谢

91免费福利导航感谢 AMPELOOINIKI Ltd. 提供葡萄酒样品及其对设备和试剂的重大贡献。

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葡萄酒的表面张力与酒本身的成分之间的相关性论文——摘要、简介

葡萄酒的表面张力与酒本身的成分之间的相关性论文——材料和方法

葡萄酒的表面张力与酒本身的成分之间的相关性论文——结果与讨论

葡萄酒的表面张力与酒本身的成分之间的相关性论文——结论、致谢！