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中国农学通报 ›› 2022, Vol. 38 ›› Issue (5): 152-156.doi: 10.11924/j.issn.1000-6850.casb2021-0171

所属专题: 生物技术 园艺

• 农业信息·科技教育 • 上一篇    下一篇

高压静电场诱导采后葡萄果实总黄烷-3-醇积累模型构建

梁长梅1(), 王建伟1, 温鹏飞2, 杨华1()   

  1. 1山西农业大学信息科学与工程学院,山西太谷 030801
    2山西农业大学园艺学院,山西太谷 030801
  • 收稿日期:2021-02-20 修回日期:2021-07-20 出版日期:2022-02-15 发布日期:2022-03-17
  • 通讯作者: 杨华
  • 作者简介:梁长梅,女,1969年出生,山西平遥人,讲师,硕士,研究方向为农业信息化。通信地址:030801 山西晋中太谷山西农业大学信息科学与工程学院,E-mail: sxaulcm@126.com
  • 基金资助:
    国家自然基金“物联网温室环境控制系统随机模型建立及鲁棒控制研究”(31671571)

Modelling of High Voltage Electrostatic Field Induced Total Flavan-3-ols Accumulation in Postharvest Grape Berries

LIANG Changmei1(), WANG Jianwei1, WEN Pengfei2, YANG Hua1()   

  1. 1College of Information Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801
    2College of Horticulture, Shanxi Agricultural University, Taigu, Shanxi 030801
  • Received:2021-02-20 Revised:2021-07-20 Online:2022-02-15 Published:2022-03-17
  • Contact: YANG Hua

摘要:

高压静电场能够诱导采后葡萄果实多酚类物质积累,为实现优化和准确调控葡萄果实总黄烷-3-醇积累量,构建葡萄果实总黄烷-3-醇含量在高压静电场作用下随时间变化的连续模型。首先,以酿酒葡萄赤霞珠为试材,选用-2 kV/cm 高压静电场,分别等时间间隔和随机时间间隔对总黄烷-3-醇含量取样,采用DMACA法获得两组数据;其次,根据等时间间隔数据,采用最小二乘法构建葡萄果实总黄烷-3-醇对高压静电场处理响应模型;最后,利用随机间隔数据,对所建立的模型进行验证。构建模型的预测值均方误差为0.0036,相对平均误差为0.28%。该模型具有较高准确性和稳定性,可为高压静电场定量调控葡萄多酚类物质积累提供理论和技术支撑。

关键词: 葡萄多酚, 总黄烷-3-醇, 高压静电场, 模型构建, 最小二乘法

Abstract:

The accumulation of polyphenols in post-harvest grape berries can be induced by high voltage electrostatic field (HVEF). In order to optimize and accurately control the total flavan-3-ols accumulation in post-harvest grape berries, a continuous model of total flavan-3-ols content change in grape berries under HVEF treatment was established. Firstly, the grape berries of Cabernet Sauvignon were used as test materials, and the HVEF of -2 kV / cm was adopted, the total flavan-3-ols content was sampled at equal and random intervals, and two sets of data were determined by DMACA. Secondly, according to the data of equal intervals, the response model of the total flavan-3-ols in grape berries to HVEF was established by using least-square method. Finally, the data of random intervals was used to verify the constructed model. The MSE of the predicted value was 0.0036, and the RAE was 0.28%. The results show that the model has high accuracy and could provide theoretical and technological support to quantitatively regulate the total flavan-3-ols accumulation in grape berries under HVEF treatment.

Key words: grape polyphenols, total flavan-3-ols, HVEF, modelling, least-square method

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