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Spectroscopy Letters
An International Journal for Rapid Communication
Volume 54, 2021 - Issue 9
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Research Article

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]
 show all
Pages 675-684 | Received 09 Jun 2021, Accepted 23 Sep 2021, Published online: 11 Oct 2021
 
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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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