Quantitative analysis of safflower seed oil adulteration based on near-infrared spectroscopy combined with improved sparrow algorithm optimization model ISSA-ELM

Safflower seed oil is expensive, and there are issues in the market such as the adulteration with cheaper edible oils, leading to inferior products. Near-infrared spectroscopy (NIR) is a non-destructive analytical method with the advantages of being fast, non-destructive, and pollution-free. However...

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Veröffentlicht in:	Analytical methods Jg. 17; H. 15; S. 3045
Hauptverfasser:	Su-An, Xu, Yan-Dong, Zhu, Lu-Shuai, Qian, Kai-Xing, Hong, Yaqiong, Fu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England 10.04.2025
Schlagworte:	Algorithms Food Contamination - analysis Machine Learning Neural Networks, Computer Safflower Oil - analysis Safflower Oil - chemistry Seeds - chemistry Spectroscopy, Near-Infrared - methods
ISSN:	1759-9679, 1759-9679
Online-Zugang:	Weitere Angaben
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