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First steps towards the development of a non-destructive technique for the quality control of wine grapes during on-vine ripening and on arrival at the winery

机译:迈向开发无损技术的第一步,该技术用于在葡萄成熟和到达酿酒厂期间对酿酒葡萄进行质量控制

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摘要

NIR spectroscopy was used as a non-destructive technique for the assessment of changes in certain internal quality properties of wine grapes (Vitis vinifera L.) during on-vine ripening and at harvest. A total of 108 different wine grape samples were used to construct calibration models based on reference data and NIR spectral data, obtained using a commercially-available diode-array spectrophotometer (380-1700 nm). The feasibility of testing bunches of intact grapes was investigated and compared with more traditional methods of presentation, such as berries or must. Predictive models were constructed to quantify changes in soluble solid content (SSC, °Brix), reducing-sugar content (g/l), pH-value, titrable acidity (g/l tartaric acid), tartaric acid (g/l) and malic acid (g/l), these being the major parameters used to chart ripening. NIRS technology provided good precision for the bunch analysis mode assayed for SSC (r~2 = 0.89; SECV=1.41°Brix), for reducing-sugar content (r~2 = 0.87; SECV= 17.13 g/l) and for pH-value (r~2 = 0.69; SECV = 0.19). Models developed for testing other fruit acidity parameters yielded results sufficient to provide a screening tool to distinguish between low and high acidity values in intact grapes. Significantly, the results obtained with bunch presentation were similar to those obtained with berries and must, thus justifying further implementation of MRS technology for the non-destructive analysis of quality properties both during on-vine ripening and on arrival at the winery. This method allows musts to be processed separately depending on initial grape quality, assessed with a single spectrum measurement and in a matter of seconds.
机译:近红外光谱法被用作一种非破坏性技术,用于评估葡萄成熟期间和收获时某些内部品质特性的变化。基于参考数据和NIR光谱数据,总共108种不同的酿酒葡萄样品用于构建校准模型,这些数据是使用市售二极管阵列分光光度计(380-1700 nm)获得的。调查了测试完整葡萄串的可行性,并将其与更传统的表示方法(例如浆果或必须)进行了比较。构建了预测模型以量化可溶性固形物(SSC,°Brix),还原糖含量(g / l),pH值,可滴定酸度(g / l酒石酸),酒石酸(g / l)和苹果酸(克/升),这些是用于绘制成熟度的主要参数。 NIRS技术为SSC(r〜2 = 0.89; SECV = 1.41°Brix),降低糖含量(r〜2 = 0.87; SECV = 17.13 g / l)和pH-分析的束分析模式提供了良好的精度。值(r〜2 = 0.69; SECV = 0.19)。为测试其他水果酸度参数而开发的模型所产生的结果足以提供一种筛选工具,以区分完整葡萄的低酸度值和高酸度值。重要的是,通过串式展示获得的结果与从浆果中获得的结果相似,并且必须如此,因此有必要进一步实施MRS技术,以在葡萄成熟期和到达酿酒厂时对质量特性进行无损分析。这种方法可以根据葡萄的初始品质,对葡萄渣进行单独处理,并通过一次光谱测量即可在几秒钟内完成评估。

著录项

  • 来源
    《Journal of food engineering》 |2010年第2期|P.158-165|共8页
  • 作者单位

    Centra de Investigation y Formation Agraria de 'Cabra-Priego', Instituto de Investigation y Formation Agraria y Pesquera (IFAPA), Consejeria de Agricultura y Pesca, Junta de Andalucia, Cabra, Spain;

    rnDepartment of Bromatology and Food Technology, University of Cordoba, Campus of Rabanales, 14071 Cordoba (Cardoba), Spain;

    rnCentra de Investigation y Formation Agraria de 'Cabra-Priego', Instituto de Investigation y Formation Agraria y Pesquera (IFAPA), Consejeria de Agricultura y Pesca, Junta de Andalucia, Cabra, Spain;

    rnDepartment of Animal Production, University of Cordoba, Campus Rabanales, 14071 Cordoba, Spain;

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

    NIR spectroscopy; grapes; qualify parameters; non-destructive analysis; on-vine; bunch analysis;

    机译:近红外光谱葡萄合格参数;无损分析;葡萄藤群分析;

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