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作为食用葡萄的替代方法,NIRS是无种子分类的替代方法.

Chaorai Kanchanomai1,2,3, Parichat Theanjumpol4,5, Phonkrit Maniwara4,5

  • 1Graduate School, Chiang Mai University, Chiang Mai 50200, Thailand.

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|February 6, 2025
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概括

短波近红外光谱学 (SW-NIRS) 提供了一种高效,非破坏性的方法,用于预测桌面葡萄的无种. 这种技术精确地分类葡萄,通过减少时间和浪费来改善传统方法.

关键词:
化学测量 化学测量 化学测量非破坏性的技术技术.无种分类的非破坏性方法.没有种子的无种.自组织地图的自组织地图.桌面葡萄 桌面葡萄

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科学领域:

  • 农业科学 农业科学
  • 频谱学是一种光谱学.
  • 化学测量 化学测量 化学测量

背景情况:

  • 没有种子是食用葡萄的关键可取特征,通常使用植物生长调节剂 (PGR) 来诱导.
  • 目前用于检测无种的方法,如切割和计数,是破坏性的和低效的.
  • PGR的有效性各不相同,可靠的无种检测对于质量控制至关重要.

研究的目的:

  • 开发和验证一种使用SW-NIRS的非破坏性方法来预测食用葡萄的无种.
  • 将SW-NIRS的效率与传统的种子检测技术进行比较.
  • 应用化学测量分析来准确分类无种子葡萄.

主要方法:

  • 从240个葡萄中获得的SW-NIR光谱 (399612,489 cm-1).
  • 通过破坏性切割和计算地面真相来确定种子的存在/缺席.
  • 使用化学测量方法分析光谱数据,包括主要组件分析 (PCA),监督自组织地图 (SSOM) 和二次差异分析 (QDA).

主要成果:

  • PCA显示了对无种类的分类负倾向.
  • SSOM提供了无种子葡萄的明确分类.
  • SSOM 实现了高分类准确率:97.14%的培训和94.64%的测试集.

结论:

  • 结合化学测量,特别是SSOM,SW-NIRS是一种高度准确和高效的非破坏性方法,用于预测桌面葡萄的无种.
  • 这种光谱方法在精度,速度和减少浪费方面比传统方法具有显著的优势.
  • 这些发现支持采用SW-NIRS用于桌面葡萄行业的质量控制和分类.