开发近红外模型用于太平洋 (Crassostrea gigas) 中的含量
Yousen Zhang1, Lehai Ni2, Yuting Meng3
1School of Fisheries, Ludong University, Yantai 264025, China.
Foods (Basel, Switzerland)
|January 28, 2026
概括
便携式近红外 (NIR) 光谱仪准确量化太平洋中的 (Se). 这种非破坏性方法可以快速地在现场进行分析,以有效地控制贝类的质量.
科学领域:
- 分析化学 分析化学
- 海洋生物学 海洋生物学
- 食品科学 食品科学 食品科学
背景情况:
- 近红外光谱 (NIR) 是食品和水产养殖分析的关键非破坏性技术.
- (Se) 是一种必不可少的微量元素,其在海鲜中的准确量化对于人类健康和监管合规性至关重要.
研究的目的:
- 开创了便携式NIR光谱仪的应用,用于评估太平洋 (Crassostrea gigas) 中的 (Se) 含量.
- 开发和验证使用不同NIR仪器预测组织中的Se水平的定量和质量模型.
主要方法:
- 使用部分最小方程 (PLS) 回归方法开发了定量模型,其中采用了来自两个便携式NIR光谱仪 (Micro NIR 1700,Micro PHAZIR RX) 和台式FT-NIR仪器的光谱.
- 模型使用交叉验证和独立数据集进行验证.
- 建立了定性模型,将Se含量分为三个不同的水平 (0-1,1-3和>3 mg/kg).
主要成果:
- 在外部验证中,Micro NIR 1700表现出强大的定量性能 (RP=0.932,RPD=2.46).
- 对于粉样,FT-NIR仪器提供了最佳的外部预测能力 (RP=0.954,RPD=2.60).
- 微型PHAZIR RX实现了100%正确的认可,用于定性Se内容歧视 (AUC=0.937).
结论:
- 便携式NIR光谱技术为贝类中的分析提供了快速的现场解决方案.
- 开发的模型显示了在海洋生物中的微量元素监测的巨大潜力,支持食品安全和质量保证.
- 这项技术有助于有效地评估中的含量,为可持续的水产养殖实践做出贡献.
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