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基于紫外可見光譜的紅葡萄酒關(guān)鍵質(zhì)量指標(biāo)快速監(jiān)測
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新疆維吾爾自治區(qū)區(qū)域協(xié)同創(chuàng)新專項(xiàng)(2022E02011)和國家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2019YFD1002500)


Rapid Monitoring of Key Quality Indicators of Red Wines Based on UV-Vis Spectroscopy
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    摘要:

    對葡萄酒發(fā)酵和陳釀過程中質(zhì)量進(jìn)行有效監(jiān)控,是葡萄酒品質(zhì)的重要保證。通過監(jiān)測葡萄酒發(fā)酵和陳釀過程中酚類物質(zhì)和顏色的演變規(guī)律,以及紫外-可見吸收光譜特征,建立基于紫外-可見吸收光譜的酚類物質(zhì)和顏色參數(shù)的偏最小二乘回歸(Partial least squares regression, PLSR)模型。結(jié)果顯示總酚、總單寧和總黃烷醇質(zhì)量濃度在發(fā)酵過程中不斷增加,在陳釀過程中逐漸減小。而總黃酮醇在發(fā)酵過程中先增加而后減小,在陳釀過程中逐漸減小。浸漬過程和發(fā)酵初期是顏色形成的關(guān)鍵時(shí)期,在陳釀過程中顏色逐漸老化。基于紫外-可見光譜的酚類物質(zhì)和顏色參數(shù)預(yù)測模型的校正集決定系數(shù)R2cal及驗(yàn)證集決定系數(shù)R2val均不小于0.84,殘余預(yù)測偏差 (Residual predictive deviation,RPD) 均不小于2.54,模型可以達(dá)到預(yù)測的目的。因此,紫外-可見光譜結(jié)合化學(xué)計(jì)量學(xué)是快速監(jiān)測紅葡萄酒發(fā)酵和陳釀過程中酚類化合物及色澤演變的一種簡單經(jīng)濟(jì)且高效可行的手段。

    Abstract:

    Consumer demand for high-quality and safely produced wines requires high standards in terms of quality assurance and process control methods, which in turn requires proper analysis of wines during and after production. The role of phenolics and color characteristics in ensuring wine quality at all stages of the production process is gradually gaining recognition and importance. However, traditional chemical analysis methods required cumbersome pre-treatment, expensive instrumentation requirements, time-consuming determination procedures, and harsh operating conditions. The evolution of phenolics and color was monitored, as well as UV-Vis absorption spectral characteristics, and a partial least squares regression (PLSR) model was developed for phenolics and color parameters based on UV-Vis spectroscopy during wine fermentation and aging. The results showed that the content of total phenols, total tannins and total flavanols were increased continuously during fermentation and decreased gradually during aging. In contrast, total flavonoids were increased and then decreased during fermentation and gradually decreased during aging. In addition, the maceration process and the early stage of fermentation were the critical periods for color formation, while the color was gradually aged during the aging. The calibration set correlation coefficients R2cal and validation set correlation coefficients R2val of the UV-Vis spectroscopy-based phenolic and color parameter prediction models were both no less than 0.84, and the residual predictive deviation (RPD) was no less than 2.54, thus the models could achieve the prediction purpose. Therefore, UV-Vis spectroscopy combined with chemometrics was a simple, economical and efficient way to monitor phenolic compounds and color evolution during red wine fermentation and aging.

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劉彩云,李慧穎,張倩瑋,范舒悅,陶永勝,李運(yùn)奎.基于紫外可見光譜的紅葡萄酒關(guān)鍵質(zhì)量指標(biāo)快速監(jiān)測[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2023,54(6):401-409. LIU Caiyun, LI Huiying, ZHANG Qianwei, FAN Shuyue, TAO Yongsheng, LI Yunkui. Rapid Monitoring of Key Quality Indicators of Red Wines Based on UV-Vis Spectroscopy[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(6):401-409.

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  • 收稿日期:2023-02-17
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  • 在線發(fā)布日期: 2023-04-05
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