Rapid identification of adulterated safflower seed oil by use of hyperspectral spectroscopy

Zhiyong ZouCollege of Mechanical and Electronic Engineering, Sichuan Agricultural University, Ya’an, China

Tao LongCollege of Mechanical and Electronic Engineering, Sichuan Agricultural University, Ya’an, China

Jie ChenCollege of Mechanical and Electronic Engineering, Sichuan Agricultural University, Ya’an, China

Li WangCollege of Mechanical and Electronic Engineering, Sichuan Agricultural University, Ya’an, China

Xiangwei WuCollege of Mechanical and Electronic Engineering, Sichuan Agricultural University, Ya’an, China

Bing ZouCollege of Mechanical and Electronic Engineering, Sichuan Agricultural University, Ya’an, China

Lijia XuCollege of Mechanical and Electronic Engineering, Sichuan Agricultural University, Ya’an, ChinaCorrespondence[email protected]

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Abstract

To distinguish different adulterated vegetable oils in safflower seed oil, counterfeit vegetable oils were identified and quantified. The near-infrared hyperspectral reflectance curve data of four oil samples were obtained in the range of 387–1035 nm. The spectrum data was preprocessed by five methods and combined with four algorithm models to predict different types of oil samples. The results showed that the median filtering algorithm combined with the Gradient Boosting Decision Tree model can achieve a 100% recognition rate for four kinds of oil samples.

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Rapid identification of adulterated safflower seed oil by use of hyperspectral spectroscopy

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Rapid identification of adulterated safflower seed oil by use of hyperspectral spectroscopy

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