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首页> 外文期刊>Journal of the Science of Food and Agriculture >Portable NIR-AOTF spectroscopy combined with winery FTIR spectroscopy for an easy, rapid, in-field monitoring of Sangiovese grape quality.
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Portable NIR-AOTF spectroscopy combined with winery FTIR spectroscopy for an easy, rapid, in-field monitoring of Sangiovese grape quality.

机译:便携式NIR-AOTF光谱与酒厂FTIR光谱相结合,可轻松,快速,现场地监控Sangiovese葡萄的品质。

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Background. A near infrared acousto-optically tunable filter (NIR-AOTF) spectrophotometer was tested for three seasons on four different vineyards with the aim of monitoring the ripening evolution of the Italian red wine grape variety Sangiovese. Predictive models for the estimation of several enological parameters were carried out applying the partial least squares chemometric approach. Reference analysis was conducted using Fourier transform infrared spectroscopy (FTIR). Spectral detections were obtained working on whole grape berries. A global set of 96 samples (n = 76 in 2009, and n = 20 in 2010) each one represented by 100 intact grape berries was tested. Finally, in 2011, an external validation on an independent data set of 25 samples (50 grape berries per set) was carried out. Results. Coupling the two spectroscopic applications, the following enological parameters were tested: degrees Brix, degrees Babo, total sugars (g L-1), glucose (g L-1), fructose (g L-1), density (g mL-1), titratable acidity (g L-1), tartaric acid (g L-1), pH, malic acid (g L-1), gluconic acid (g L-1), assumable nitrogen (mg L-1), anthocyanins (mg L-1), and total phenols (mg L-1). NIR-AOTF spectroscopy was able to predict with a high correlation versus the measured data: degrees Brix, degrees Babo, total sugars, glucose, fructose and density. The coefficient of determination (R 2) and the standard error in prediction were: 0.93 and 0.73 for degrees Brix; 0.93 and 0.62 for degrees Babo; 0.94 and 7.39 g L-1 for total sugars; 0.93 and 5.39 g L-1 for glucose; 0.92 and 5.07 g L-1 for fructose; and 0.91 and 0.004 g mL-1 for density, respectively. Significant correlations were found in prediction for tartaric acid and pH value. Promising validation results were recorded for anthocyanins and total phenols, even though predictive models were affected by the method of sample preparation in compound extraction. Conclusion. This study shows how NIR-AOTF spectroscopy can be used in viticulture to investigate, directly in-field, the most significant markers of ripening evolution and of Sangiovese grape quality definition. The use of the vinery FTIR spectroscopy provided the reduction of the time required by reference analysis, with the big advantage of obtaining many different parameters in just a few seconds and allowing easier calibration of the NIR spectrometer
机译:背景。近红外声光可调滤光片(NIR-AOTF)分光光度计在四个不同的葡萄园进行了三个季节的测试,目的是监测意大利红酒葡萄品种桑娇维塞的成熟过程。应用偏最小二乘化学计量学方法,建立了用于估计几种酶学参数的预测模型。使用傅里叶变换红外光谱(FTIR)进行参考分析。对整个葡萄浆果进行了光谱检测。测试了一组全球96个样本(2009年为76个,2010年为n = 20),每个样本均由100个完整的葡萄浆果代表。最终,在2011年,对25个样本(每组50个葡萄浆果)的独立数据集进行了外部验证。结果。结合两种光谱应用,测试了以下酶学参数:白利糖度,巴波度,总糖(g L -1 ),葡萄糖(g L -1 ),果糖(g L -1 ),密度(g mL -1 ),可滴定酸度(g L -1 ),酒石酸(g L -1 ),pH,苹果酸(g L -1 ),葡萄糖酸(g L -1 ),氮(mg L -1 ),花色苷(mg L -1 )和总酚(mg L -1 )。 NIR-AOTF光谱能够与测量数据高度相关地预测:糖度,糖度,总糖,葡萄糖,果糖和密度。测定系数(R 2 )和预测的标准误差为:糖度为0.93和0.73;巴波度分别为0.93和0.62;总糖分分别为0.94和7.39 g L -1 ;葡萄糖的L -1 为0.93和5.39 g;果糖L -1 为0.92和5.07 g;密度分别为0.91和0.004 g mL -1 。在酒石酸和pH值的预测中发现了显着的相关性。尽管花青素和总酚的预测模型受到化合物提取中样品制备方法的影响,但仍记录了有希望的验证结果。结论。这项研究表明,近红外-AOTF光谱法可如何在葡萄栽培中直接用于田间研究成熟演化和桑娇维塞葡萄品质定义的最重要标志。葡萄园FTIR光谱仪的使用减少了参考分析所需的时间,其最大优势是可以在几秒钟内获得许多不同的参数,并且可以更容易地校准NIR光谱仪

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