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基于NIRS的蘋果酒特征香氣生成動力學(xué)模型
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國家自然科學(xué)基金資助項目(20806062)和西北農(nóng)林科技大學(xué)基本科研業(yè)務(wù)費專項資助項目(QN2009076)


Kinetics of Character Aroma Production during Cider Fermentation by NIRS
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    摘要:

    在前期探明蘋果酒特征香氣種類的基礎(chǔ)上,,對蘋果酒發(fā)酵過程中特征香氣的近紅外光譜檢測模型進(jìn)行了研究,結(jié)果表明選擇波數(shù)為9747.1~7498.3 cm-1和6102.0~5446.3cm-1兩段譜區(qū),,采用一階導(dǎo)數(shù)和多元散射校正處理光譜后,,利用偏最小二乘法建模效果較好,其中校正集R2為0.9205,,交叉驗證均方根差為4.87mg/L,;驗證集預(yù)測值與實測值的R2為0.9388,預(yù)測均方根差為3.76 mg/L,,表明利用近紅外光譜法建立的模型達(dá)到了良好的預(yù)測效果,。研究了蘋果酒發(fā)酵過程中特征香氣的產(chǎn)生特性,基于Luedeking-Piret方程,,建立了描述蘋果酒特征香氣生成的動力學(xué)模型(R2為0.9930),,經(jīng)檢驗表明該模型能夠很好地擬合蘋果酒發(fā)酵過程特征香氣的生成狀況,。

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    In order to measure and monitor character aroma content accurately and rapidly,calibration models were established during cider fermentation based on near infrared spectroscopy. The results indicated that the calibration models developed with partial least square(PLS) by the spectral pretreatment of first derivative(FD) and multiplicative scatter correction(MSC) in the characteristic absorption spectra ranges of 9747.1~7498.3 cm-1 and 6102.0~5446.3 cm-1were the best. The correlation coefficients (R2) and the root mean square errors of cross validation of the model in calibration set were 0.9205 and 4.87mg/L, respectively. The R2 of the test set and the root mean square error of prediction were 0.9388 and 3.76mg/L, respectively. These demonstrated that the model was very well and can be applied to quick determination and monitoring of character aroma content during cider-making. Based on the NIRS model, kinetic model of character aroma production was constructed with a R2 of 0.993 0 by Luedeking-Piret equation. The results showed that the fitted values by the model were in an agreement with the observed values. 

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彭幫柱,岳田利,袁亞宏,高振鵬,郭耀東.基于NIRS的蘋果酒特征香氣生成動力學(xué)模型[J].農(nóng)業(yè)機械學(xué)報,2013,44(4):179-183. Peng Bangzhu, Yue Tianli, Yuan Yahong, Gao Zhenpeng, Guo Yaodong. Kinetics of Character Aroma Production during Cider Fermentation by NIRS[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(4):179-183.

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  • 在線發(fā)布日期: 2013-03-28
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