福里埃变换红外光谱学与图案识别技术的结合,用于红鱼鱼油的分类和区分
Irnawati Irnawati1, Anjar Windarsih2, Nurrulhidayah Ahmad Fadzillah3
1Department of Analytical Chemistry and Medical Chemistry, Study Program of Pharmacy, Faculty of Pharmacy, Halu Oleo University, Kendari, Indonesia.
Journal of advanced pharmaceutical technology & research
|June 21, 2024
概括
福利埃变换红外光谱 (FTIR) 和图案识别成功识别了来自不同来源的红鱼鱼油 (RSFO). 稀疏的部分最小方形差异分析 (sPLS-DA) 证明是最有效的验证鱼油质量.
科学领域:
- 分析化学 分析化学
- 食品科学 食品科学 食品科学
- 海洋生物学 海洋生物学
背景情况:
- 鱼油是维生素-3和维生素-6脂肪酸的重要来源,对人类健康至关重要.
- 印度尼西亚拥有丰富的鱼类资源,包括红 (Lutjanus sp. ) 是一种有价值的鱼油来源.
- 验证鱼油的来源和质量对于确保消费者安全和产品完整性至关重要.
研究的目的:
- 使用富里埃变换红外光谱学 (FTIR) 来分类和区分来自不同来源的红鱼鱼油 (RSFO).
- 评估不同模式识别技术在分析RSFO的有效性.
- 建立一种可靠的鱼油认证方法.
主要方法:
- 福里埃变换红外光谱法 (FTIR) 用于从RSFO样本中获取光谱数据.
- 主要组件分析 (PCA) 用于初始数据探索和基于来源的分离.
- 监督的模式识别技术,包括部分最小方形歧视分析 (PLS-DA) 和Sparse PLS-DA (sPLS-DA),用于分类和歧视.
主要成果:
- RSFO的FTIR光谱表现出特有的甘油三振动,表明化学成分一致.
- 据PCA证实,可以根据其地理来源将RSFO分开.
- 根据Lutjanus的物种和起源,PLS-DA和sPLS-DA成功地对RSFO进行了歧视和分类.
- 特定的FTIR振动频率 (1711,1653,1745,3012 cm−1) 被确定为Lutjanus物种的关键区分因素.
- sPLS-DA成为区分和分类Lutjanus鱼油的优越方法.
结论:
- 与图案识别技术相结合的FTIR光谱学为鱼油认证提供了一个强大的工具.
- 开发的方法可以有效地验证鱼油的质量和来源.
- 这种方法有可能快速,可靠地验证鱼油产品的真实性.
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