为什么没有什么能胜过NIRS技术:未来可持续食品生产的绿色分析选择
Tomasz Pawel Czaja1, Søren Balling Engelsen1
1Department of Food Science, University of Copenhagen, Rolighedsvej 26, 1958 Frederiksberg C, Denmark.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|September 1, 2024
概括
近红外 (NIR) 技术将成为可持续食品生产的关键绿色传感器. 它与人工智能和机器学习的整合将推动农业和环境监测的进步.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 绿色技术 绿色技术是一种绿色技术.
背景情况:
- 近红外 (NIR) 技术为分析应用提供了独特的特性.
- 食品行业越来越关注数字化和可持续性.
研究的目的:
- 突出NIR技术在未来可持续粮食生产中的不可或缺的作用.
- 讨论NIR与更广泛应用的先进数据分析的整合.
主要方法:
- 这篇论文是一个视角,重点关注NIR技术的潜力和进步.
- 它讨论了NIR仪器与多变量数据分析,机器学习和人工智能的集成.
主要成果:
- 预计NIR技术将成为数字化和可持续食品生产的重要绿色传感器.
- 微型化,便携性和可负担性方面的进步将增加NIR可访问性.
- 将NIR集成到过程分析技术 (PAT) 中是循环经济的关键.
结论:
- 尼尔射线技术的独特特性和集成能力使其成为未来粮食生产和环境监测的关键.
- 该技术将使多个行业能够精确地应对全球挑战.
- 在循环经济中,NIR对于连续测量至关重要,特别是在废物流的价值化方面.
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