通过NIR光谱和化学测量来评估两个葡萄园土壤的差异
Sandia Machado1, Luisa Barreiros1,2, António R Graça3
1LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira nº 228, 4050-313 Porto, Portugal.
Heliyon
|December 21, 2023
概括
近红外 (NIR) 光谱学可以有效地区分葡萄园土壤并量化关键化学参数. 这种快速,具有成本效益的方法通过提供准确的土壤分析来改善葡萄酒质量,从而有助于葡萄种植管理.
科学领域:
- 农业科学 农业科学
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 土壤的特性显著影响葡萄藤的健康和葡萄酒的质量.
- 准确评估葡萄园土壤参数对于有效的葡萄种植管理至关重要.
研究的目的:
- 评估近红外 (NIR) 光谱法,以区分葡萄园土壤.
- 评估NIR光谱在量化土壤化学参数方面的能力.
- 为了比较NIR光谱与已建立的分析参考程序.
主要方法:
- 从两个葡萄园采集的土壤样本,深度不同.
- 使用近红外 (NIR) 光谱学进行分析.
- 统计分析包括ANOVA,PCA,PLS-DA和PLS回归.
主要成果:
- 在18个土壤参数中,12个通过参考程序显示了统计学上显著的差异 (p <0.05).
- 主要成分分析 (PCA) 根据NIR光谱和化学数据清楚地分离了两个葡萄园.
- 部分最小平方区分分析 (PLS-DA) 在葡萄园土壤区分方面实现了100%的准确性.
- 部分最小平方 (PLS) 回归证明了使用NIR光谱量化8个化学参数的高精度 (R2>0.85,RER>10).
结论:
- 尼尔光谱是区分不同葡萄园土壤的有效工具.
- 尼尔射线光谱能够快速准确地量化几个关键的土壤化学参数.
- 这种光谱方法为传统的土壤分析技术提供了成本有效,简单和环保的替代方案.
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