結論

葡萄酒無(wú)疑是一個(gè)非常復雜的分析矩陣。 其化學(xué)和儀器分析通常需要對樣品進(jìn)行預處理，以消除那些會(huì )干擾分析的化合物。 這種額外的程序既費時(shí)又費錢(qián)。 我們已經(jīng)通過(guò)統計分析表明，一些最重要的釀酒參數與表面張力顯著(zhù)相關(guān)。 乙醇濃度已被證明是其中最好的負相關(guān)參數。 從 20 個(gè)葡萄酒樣品的分析中獲得的線(xiàn)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(guò)包括 30 個(gè)以上的樣本來(lái)擴展模型產(chǎn)生了令人滿(mǎn)意的結果。 提議的線(xiàn)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(jìn)行常規分析提供了一個(gè)有趣的工具。 必須進(jìn)行更深入的研究，以便為蛋白質(zhì)和單寧等化合物建立可靠的類(lèi)似預測模型，否則需要費力的方法來(lái)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(guān)性論文——摘要、簡(jiǎn)介

葡萄酒的表面張力與酒本身的成分之間的相關(guān)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(guān)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(guān)性論文——結論、致謝！