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Sensing the Addition of Vegetable Oils to Olive Oil: The Ability of UV–VIS and MIR Spectroscopy Coupled with Chemometric Analysis
Food Analytical Methods ( IF 2.9 ) Pub Date : 2019-12-05 , DOI: 10.1007/s12161-019-01680-8
Michael Didham , Vi Khanh Truong , James Chapman , Daniel Cozzolino

The aim of this study was to assess the ability of both UV–VIS and ATR-MIR spectroscopy to identify and quantify the addition of vegetable oils (canola and sunflower) to olive oil (artificial adulteration). The spectra of pure oils and mixtures was collected using an UV–VIS (200–800 nm) (1 cm path length) and an ATR–MIR instruments. This study showed that both UV–VIS and ATR-MIR spectroscopy can detect levels of adulteration above 10% due to their lower error values in prediction. However, both methods have difficulties to detect low levels of adulteration (less than 1%). Interpretation of the UV–VIS and MIR spectra indicated that differentiation between adulterated samples might be explained by the different fatty acids, products of the oxidation of lipids and change in the pigment profiles derived from the different oil samples. It was concluded that both UV–VIS and MIR spectroscopy might detect and quantify the level of addition of vegetable oils into olive oil.

中文翻译:

感测橄榄油中添加植物油的能力:UV-VIS和MIR光谱与化学计量分析相结合的能力

这项研究的目的是评估UV-VIS和ATR-MIR光谱法鉴定和定量向橄榄油中添加植物油(芥花籽油和葵花籽油)(人为掺假)的能力。使用UV-VIS(200-800 nm)(光程1 cm)和ATR-MIR仪器收集纯油和混合物的光谱。这项研究表明,UV-VIS和ATR-MIR光谱都可以检测出10%以上的掺假水平,因为它们的预测误差值较低。但是,这两种方法都难以检测出较低的掺假水平(小于1%)。对UV-VIS和MIR光谱的解释表明,掺假样品之间的差异可能由不同的脂肪酸,脂质氧化产物和来自不同油样的色素分布的变化所解释。
更新日期:2019-12-11
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