从Vis/NIR到NIR区域通过光谱分析果的质量参数:综合性审查
Justyna Grabska1, Krzysztof B Beć1, Nami Ueno1
1Institute of Analytical Chemistry and Radiochemistry, University of Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria.
Foods (Basel, Switzerland)
|May 27, 2023
概括
近红外 (NIR) 和可见 (Vis) 光谱为评估果质量提供了非破坏性的方法. 这些技术对于优化果生产,确保高品质水果和满足消费者需求至关重要.
科学领域:
- 农业科学 农业科学
- 分析化学 分析化学
- 食品科学 食品科学 食品科学
背景情况:
- 光谱方法提供了非破坏性的定性和定量样本分析.
- 由于气候变化和环境影响,保持高质量的果生产至关重要.
- 可见光 (Vis) 和近红外 (NIR) 光谱显示出果质量评估的巨大潜力.
研究的目的:
- 在评估果质量参数时全面审查Vis/NIR光谱学的应用.
- 用光谱方法分析果生产和供应链的优化.
- 总结果的真实性,来源,识别,改和质量控制的技术.
主要方法:
- 评论过去五年出版的文献,包括开创性和代表性研究.
- 分析用于评估果外部和内部特征的光谱技术.
- 评估用于果质量控制的光学传感器和便携式仪器.
主要成果:
- 视/红外光谱有效评估果质量参数,如颜色,SSC,TA,坚硬度和营养价值.
- 光谱方法促进了整个果供应链的高效分类,分类和质量控制.
- 发展趋势显示,用于果分析的手持式和便携式Vis/NIR/NIR仪器的使用越来越多.
结论:
- 视/红外光谱是提高果作物的质量和竞争力的宝贵工具.
- 这些技术满足了行业对分类和分类实用程序的需求.
- 光学传感器的应用对于满足消费者需求和确保果行业的可持续性至关重要.
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