Technische Thermodynamik, Universität Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany.
MAPEX Center for Materials and Processes, Universität Bremen, 28359 Bremen, Germany.
Molecules. 2019 Sep 4;24(18):3219. doi: 10.3390/molecules24183219.
Passion fruit oil is a high-value product with applications in the food and cosmetic sectors. It is frequently diluted with sunflower oil. Sunflower oil is also a potential adulterant as its addition does not notably alter the appearance of the passion fruit oil. In this paper, we show that this is also true for the FTIR spectrum. However, the chemometric analysis of the data changes this situation. Principal component analysis (PCA) enables not only the straightforward discrimination of pure passion fruit oil and adulterated samples but also the unambiguous classification of passion fruit oil products from five different manufacturers. Even small amounts-significantly below 1%-of the adulterant can be detected. Furthermore, partial least-squares regression (PLSR) facilitates the quantification of the amount of sunflower oil added to the passion fruit oil. The results demonstrate that the combination of FTIR spectroscopy and chemometric data analysis is a very powerful tool to analyze passion fruit oil.
西番莲籽油是一种高附加值的产品，在食品和化妆品领域有广泛的应用。它常被葵花籽油稀释。葵花籽油也是一种潜在的掺杂物，因为其添加不会显著改变西番莲籽油的外观。在本文中，我们表明这同样适用于傅里叶变换红外光谱（FTIR）。然而，对数据的化学计量分析改变了这种情况。主成分分析（PCA）不仅能够直接区分纯西番莲籽油和掺假样品，还能够明确地区分来自五个不同制造商的西番莲籽油产品。即使是少量的掺杂物（显著低于 1%）也可以被检测到。此外，偏最小二乘法回归（PLSR）有助于定量添加到西番莲籽油中的葵花籽油的量。结果表明，傅里叶变换红外光谱和化学计量数据分析的结合是分析西番莲籽油的非常有力的工具。
