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首页> 外文期刊>American journal of enology & viticulture >Automatic Sensor System for the Continuous Analysis of the Evolution of Wine
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Automatic Sensor System for the Continuous Analysis of the Evolution of Wine

机译:自动传感器系统,可连续分析葡萄酒的演变

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摘要

An in situ and on-line electronic nose (e-nose) was developed and installed in a winery tor the continuous measurement of wine evolution. The system has a novel sampling method that uses a carrier gas to extract aroma compounds directly from the headspace of the wine storage tank, and the volatile compounds are then automatically carried to the sensor cell. The system uses a tin oxide multisensor prepared by radio frequency sputtering onto an alumina substrate and treated with with chromium and indium. The whole system is fully automated and controlled by a computer and can be supervised remotely via the internet. Linear techniques such as principal component analysis and nonlinear ones such as artificial neural networks were used for pattern recognition, and partial least squares analysis was used for predicting GC-MS analysis. Results of two different wines show that the e-nose system can detect the evolution of aroma compounds for nine months. Correlation coefficients near to 1 were obtained in the prediction of the volatile organic compounds ethyl butyrate, isobutyric acid, isobutyl acetate, hexyl acetate, and ethyl octanoate. This system can be trained for monitoring wine preservation and evolution, detecting off-odors, and warning the wine expert to correct problems as soon as possible in order to prevent spoilage and improve wine quality.
机译:开发了现场在线电子鼻(e-nose)并将其安装在酒厂中,以持续测量葡萄酒的演变。该系统具有新颖的采样方法,该方法使用载气直接从葡萄酒储罐的顶部空间提取香气化合物,然后将挥发性化合物自动携带到传感器​​单元中。该系统使用通过射频溅射在氧化铝基板上制备的氧化锡多传感器,并用铬和铟进行处理。整个系统是完全自动化的,并由计算机控制,可以通过互联网进行远程监控。线性技术(例如主成分分析)和非线性技术(例如人工神经网络)用于模式识别,部分最小二乘分析用于预测GC-MS分析。两种不同的葡萄酒的结果表明,电子鼻系统可以检测九个月的香气化合物的演变。在预测挥发性有机化合物丁酸乙酯,异丁酸,乙酸异丁酯,乙酸己酯和辛酸乙酯时,获得了接近1的相关系数。该系统可以进行培训,以监测葡萄酒的保存和演变,检测异味并警告葡萄酒专家尽快纠正问题,以防止变质和改善葡萄酒质量。

著录项

  • 来源
    《American journal of enology & viticulture》 |2015年第2期|148-155|共8页
  • 作者单位

    Electronica y Automatica, Universidad de Extremadura, Av. Elvas s, 06006 Badajoz, Spain,Consejo Superior de Investigaciones Cientificas, ITEFI, (CSIC), C/Serrano, 144, 28006 Madrid, Spain;

    Consejo Superior de Investigaciones Cientificas, ITEFI, (CSIC), C/Serrano, 144, 28006 Madrid, Spain;

    Electronica y Automatica, Universidad de Extremadura, Av. Elvas s, 06006 Badajoz, Spain;

    Instituto Madrilefio de Investigation y Desarrollo Rural, Agrario y Alimentario (IMIDRA), Km 38.2 N-Ⅱ, 28800 Alcala de Henares, Spain;

    Instituto Madrilefio de Investigation y Desarrollo Rural, Agrario y Alimentario (IMIDRA), Km 38.2 N-Ⅱ, 28800 Alcala de Henares, Spain;

    Consejo Superior de Investigaciones Cientificas, ITEFI, (CSIC), C/Serrano, 144, 28006 Madrid, Spain;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    electronic nose; gas sensors; pattern recognition; wine evolution; aroma; GC-MS;

    机译:电子鼻气体传感器模式识别;葡萄酒的演变;香气;气质联用仪;

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