PDF(Pubmed)
Abstract：
Fish oils are good sources for essential fatty acids such as omega-3 and omega-6 fatty acids needed to human growth. Indonesia is rich in fish species and among this, red snapper fish (Lutjanus sp.) can be extracted to get red snapper fish oils (RSFOs). The aim of this study was to classify and discriminate RSFO from different origins using Fourier-transform infrared (FTIR) spectra and pattern recognition techniques. All of the RSFO\'s FTIR spectra were very similar. The FTIR vibrations showed the presence of triglycerides as the main composition in fish oils. Principal component analysis (PCA) could separate the RSFO according to sample origin. Supervised pattern recognition of partial least square-discriminant analysis (PLS-DA) and sparse PLS-DA (sPLS-DA) successfully discriminated and classified different Lutjanus species of fish oils obtained from different origins. The vibration of functional groups at 1711, 1653, 1745, and 3012 per cm were considered for their important contributions in discriminating of Lutjanus species (variable importance in projection, variable importance in the projection score >1). Fish oils obtained from the same species were classified into the same class indicating similar chemical compositions. Among the three pattern recognition techniques used, sPLS-DA offers the best model for the discrimination and classification of Lutjanus fish oils. It can be concluded that FTIR spectroscopy in combination with the pattern recognition technique is the potential to be used for of fish oil authentication to verify the quality of the fish oils. It can be further developed as a rapid and effective method for fish oil authentication.
摘要：
鱼油是人体生长所需的必需脂肪酸如omega-3和omega-6脂肪酸的良好来源。印度尼西亚鱼种丰富，其中，红snap鱼(Lutjanussp.)可以被提取以获得红鲈鱼鱼油(RSFO)。这项研究的目的是使用傅立叶变换红外（FTIR）光谱和模式识别技术对不同来源的RSFO进行分类和区分。所有RSFO的FTIR光谱非常相似。FTIR振动显示存在甘油三酯作为鱼油中的主要成分。主成分分析（PCA）可以根据样品来源分离RSFO。偏最小二乘判别分析（PLS-DA）和稀疏PLS-DA（sPLS-DA）的监督模式识别成功区分和分类了从不同来源获得的不同Lutjanus鱼油。每厘米1711、1653、1745和3012处官能团的振动被认为是它们在区分Lutjanus物种方面的重要贡献（投影中的重要性可变，变量在投影得分中的重要性>1)。从相同物种获得的鱼油被分类为相同的类别,表明相似的化学组成。在使用的三种模式识别技术中，sPLS-DA为Lutjanus鱼油的辨别和分类提供了最佳模型。可以得出结论，FTIR光谱与模式识别技术相结合是用于鱼油认证以验证鱼油质量的潜力。它可以进一步发展为一种快速有效的鱼油认证方法。
