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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.
MethodsX
|February 6, 2025
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.
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.
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