結論

葡萄酒無疑是一個非常復雜的分析矩陣。 其化學和儀器分析通常需要對樣品進行預處理，以消除那些會干擾分析的化合物。 這種額外的程序既費時又費錢。 我們已經通過統(tǒng)計分析表明，一些最重要的釀酒參數(shù)與表面張力顯著相關。 乙醇濃度已被證明是其中最好的負相關參數(shù)。 從 20 個葡萄酒樣品的分析中獲得的線性預測模型非常有效，因為它可以解釋高達近 91% 的乙醇含量變化。 通過包括 30 個以上的樣本來擴展模型產生了令人滿意的結果。 提議的線性模型解釋了 81% 的乙醇含量變化，估計的標準誤差為 0.36% (v/v)，為釀酒師進行常規(guī)分析提供了一個有趣的工具。 必須進行更深入的研究，以便為蛋白質和單寧等化合物建立可靠的類似預測模型，否則需要費力的方法來確定它們。

致謝

我們感謝 AMPELOOINIKI Ltd. 提供葡萄酒樣品及其對設備和試劑的重大貢獻。

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葡萄酒的表面張力與酒本身的成分之間的相關性論文——摘要、簡介

葡萄酒的表面張力與酒本身的成分之間的相關性論文——材料和方法

葡萄酒的表面張力與酒本身的成分之間的相關性論文——結果與討論

葡萄酒的表面張力與酒本身的成分之間的相關性論文——結論、致謝！