"ウグニ・ブランク"のブドウの熟成過程のためのダイナミックなマルチパラメータ予測モデルの開発,可視光および近赤外線スペクトルスコピーを用いて
Chenxue Su1, Jia Che1, Zehao Wu1
1College of Enology, Northwest A&F University, Yangling 712100, China.
Foods (Basel, Switzerland)
|February 13, 2026
まとめ
可視/近赤外線 (Vis/NIR) スペクトロスコピーは,Ugni Blancのブドウの品質を無破壊的に正確に予測します. この方法は,pH,糖質,フェノール含有量などの重要なパラメータを定量化し,従来の実験室分析の迅速な代替案を提供します.
科学分野:
- 農業科学 農業科学とは
- アナリティカル・ケミストリー (Analytical Chemistry) とは
- スペクトロスコーピーは,スペクトロスコーピーを用います.
背景:
- ぶどうの物理化学的性質の正確な評価は,ワイン製造に不可欠です.
- ぶどうの品質を決定するための伝統的な方法は,しばしば破壊的で時間がかかります.
- 非破壊的技術は,迅速な品質評価のための有望な代替案を提供します.
研究 の 目的:
- Ugni Blancのブドウの主要な品質パラメータを決定するための非破壊的方法の開発と検証.
- 化学測定と組み合わせた可視/近赤外線 (Vis/NIR) スペクトロスコピーの有効性を調査する.
- ぶどうの組成を予測するためのフルスペクトルと特性の波長モデルを比較する.
主な方法:
- 拡散反射スペクトル (400-1507 nm) は,手持ちのVis/NIRスペクトルメーターを使用して取得しました.
- データセットのパーティショニングは,SPXYアルゴリズムを使用して実行されました.
- 定量モデルは,部分最小二乗 (PLS),サポートベクトルマシン回帰 (SVR) およびコンボリューションニューラルネットワーク (CNN) アルゴリズムを使用して構築されました.
主要な成果:
- 特徴ベースのモデルは,総酸性 (TA),還元糖 (RS),皮膚全体フェノール含量 (TPCN) を予測する点で優れていた.
- フルスペクトルモデルでは,pH,全溶性固体 (TSS),種子全フェノール含量 (TPCD) について優れた性能を示した.
- 最適なモデルは高い予測精度を達成し,Rp2値は0.957まで,RPD値は4.798.7まででした.
結論:
- Vis/NIRスペクトロスコピーは,Ugni Blancのブドウの品質を評価するための信頼性の高い非破壊的なツールを提供します.
- 開発された化学測定モデルは,基本的な物理化学パラメータの正確な予測を可能にします.
- この技術は,ワイン産業におけるブドウの品質管理を大幅に効率化することができます.
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