用于分析牲畜食质量的近红外光谱:系统性审查
Md Ekramul Hossain1,2, Muhammad Ashad Kabir1,3,2, Lihong Zheng1,3,2
1School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, Australia.
Heliyon
|December 3, 2024
概括
近红外光谱 (NIRS) 为分析牲畜食质量提供了一种快速,非侵入性的方法. 这一审查证实了NIRS的证实.
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:
- 牲畜饮食质量对于动物健康和生产力至关重要.
- 准确有效地分析料对于优化动物营养至关重要.
- 近红外光谱 (NIRS) 已成为料分析的一个有前途的技术.
研究的目的:
- 系统地审查近红外光谱学 (NIRS) 的文献,用于牲畜食质量分析.
- 确定最近NIRS对动物料的研究中的趋势,方法和挑战.
- 评估NIRS在测量关键营养参数方面的有效性.
主要方法:
- 在五个电子数据库中进行系统的文献搜索.
- 选择和深入分析了54项相关研究.
- 将NIRS设备分为桌面和便携式类型的分类.
- 识别常见的光谱数据处理方法,如SNV,DT和MSC.
主要成果:
- NIRS技术提供准确可靠的测量原始蛋白质,纤维和水分含量在牲畜的饮食.
- 大多数研究都使用了反射频谱模式,使用了桌面和便携式NIRS设备.
- 标准正常变量 (SNV),下降趋势 (DT) 和乘法分散校正 (MSC) 是普遍存在的数据处理技术.
结论:
- NIRS是评估牲畜食质量的宝贵工具,提供速度和非侵入性.
- 建议进行进一步的研究,以应对现有的挑战,并加强NIRS在畜牧业的应用.
- 随着NIRS方法的不断进步,将有助于改善料评估和牲畜管理实践.
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