title: Near-infrared spectroscopy and partial least-squares regression for determination of arachidonic acid in powdered oil.
abstract: Near-infrared (NIR) spectroscopy was evaluated as a rapid method of predicting arachidonic acid content in powdered oil without the need for oil extraction. NIR spectra of powdered oil samples were obtained with an NIR spectrometer and correlated with arachidonic acid content determined by a modification of the AOCS Method. Partial Least-Squares regression was applied to calculate models for the prediction of arachidonic acid. The model developed with the raw spectra had the best performance in cross-validation (n = 72) and validation (n = 21) with a correlation coefficient of 0.965, and the root mean square error of cross-validation and prediction were both 0.50. The results show that NIR, a well-established and widely applied technique, can be applied to determine the arachidonic acid content in powdered oil.
authors.affiliation: State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, China.
authors.forename: Meiyan
authors.initials: M
authors.lastname: Yang
authors.forename: Shaoping
authors.initials: S
authors.lastname: Nie
authors.forename: Jing
authors.initials: J
authors.lastname: Li
authors.forename: Mingyong
authors.initials: M
authors.lastname: Xie
authors.forename: Hua
authors.initials: H
authors.lastname: Xiong
authors.forename: Zeyuan
authors.initials: Z
authors.lastname: Deng
authors.forename: Weiwan
authors.initials: W
authors.lastname: Zheng
authors.forename: Lin
authors.initials: L
authors.lastname: Li
authors.forename: Xiaoming
authors.initials: X
authors.lastname: Zhang
mesh_terms: D016718:Arachidonic Acid / Q000032:analysis*; D016018:Least-Squares Analysis; D009821:Oils / Q000737:chemistry*; D011208:Powders / Q000737:chemistry; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
chemical_list: D009821:Oils; D011208:Powders; D016718:Arachidonic Acid
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