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在葡萄成熟过程中使用非接触式可见和近红外光谱法评估完整葡萄浆果中的氨基酸和总可溶性固形物。

Assessment of amino acids and total soluble solids in intact grape berries using contactless Vis and NIR spectroscopy during ripening.

作者信息

Fernández-Novales Juan, Garde-Cerdán Teresa, Tardáguila Javier, Gutiérrez-Gamboa Gastón, Pérez-Álvarez Eva Pilar, Diago María Paz

机构信息

University of La Rioja, Department of Agriculture and Food Science, Madre de Dios, 53, 26006 Logroño, La Rioja, Spain; Instituto de Ciencias de la Vid y del Vino (CSIC, Universidad de La Rioja, Gobierno de La Rioja), Carretera de Burgos Km. 6, 26007 Logroño, La Rioja, Spain.

Instituto de Ciencias de la Vid y del Vino (CSIC, Universidad de La Rioja, Gobierno de La Rioja), Carretera de Burgos Km. 6, 26007 Logroño, La Rioja, Spain.

出版信息

Talanta. 2019 Jul 1;199:244-253. doi: 10.1016/j.talanta.2019.02.037. Epub 2019 Feb 8.

Abstract

The amino acid concentration assessment along grape ripening would provide valuable information regarding harvest scheduling, wine aroma potential and must nitrogen supplement addition. In this work the use of Visible (Vis) and near-infrared (NIR) spectroscopy to estimate the grape amino acid content along maturation on intact berries was investigated. Spectral data on two ranges (570-1000 and 1100-2100 nm) were acquired contactless from intact Grenache berries. A total of 22 free amino acids in 128 grape clusters were quantified by HPLC. Partial least squares was used to build calibration, cross validation and prediction models. The best performances (R ~ 0.60) were found for asparagine (SEP: 0.45 mg N/l), tyrosine (SEP: 0.33 mg N/l) and proline (SEP: 17.5 mg N/l) in the 570-1000 nm range, and for lysine (SEP: 0.44 mg N/l), tyrosine (SEP: 0.26 mg N/l), and proline (SEP: 15.54 mg N/l) in the 1100-2100 nm range. Remarkable models (R0.90, SEP1.60 ºBrix, and RPD~3.79) were built for total soluble solids in both spectral ranges. Contactless, non-destructive spectroscopy could be an alternative to provide information about grape amino acids composition.

摘要

随着葡萄成熟对氨基酸浓度进行评估,可为收获计划制定、葡萄酒香气潜力以及葡萄汁氮补充添加提供有价值的信息。在本研究中,探讨了利用可见(Vis)光谱和近红外(NIR)光谱来估算完整葡萄果实成熟过程中的氨基酸含量。从完整的歌海娜葡萄果实上非接触式采集了两个波段(570 - 1000和1100 - 2100 nm)的光谱数据。通过高效液相色谱法对128个葡萄串中的22种游离氨基酸进行了定量分析。采用偏最小二乘法建立校准、交叉验证和预测模型。在570 - 1000 nm波段,天冬酰胺(SEP:0.45 mg N/l)、酪氨酸(SEP:0.33 mg N/l)和脯氨酸(SEP:17.5 mg N/l)的预测效果最佳(R ~ 0.60);在1100 - 2100 nm波段,赖氨酸(SEP:0.44 mg N/l)、酪氨酸(SEP:0.26 mg N/l)和脯氨酸(SEP:15.54 mg N/l)的预测效果最佳。在两个光谱波段都建立了关于总可溶性固形物的显著模型(R0.90,SEP1.60 ºBrix,RPD~3.79)。非接触式、无损光谱技术可作为一种替代方法来提供有关葡萄氨基酸组成的信息。

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