Evaluation of Near-Infrared Hyperspectral Imaging for Detection of Peanut and Walnut Powders in Whole Wheat Flour

doi:10.3390/app8071076

	Evaluation of Near-Infrared Hyperspectral Imaging for Detection of Peanut and Walnut Powders in Whole Wheat Flour
	Zhao, X; Guo YQ(郭义庆); Sun, CP; Li, YF; Chu, X; Ni, XZ; Wang, W
刊名	APPLIED SCIENCES-BASEL
	2018
卷号	8 期号:7 页码:1076
关键词	near-infrared hyperspectral imaging peanut and walnut powders whole wheat flour visualization
ISSN号	2076-3417
DOI	10.3390/app8071076
文献子类	Article
英文摘要	The general utilization of processing equipment in industry has increased the risk of foreign material contamination. For example, peanut and walnut contaminants in whole wheat flour, which typically a healthy food, are a threat to people who are allergic to nuts. The feasibility of utilizing near-infrared hyperspectral imaging to inspect peanut and walnut powder in whole wheat flour was evaluated herein. Hyperspectral images at wavelengths 950-1700 nm were acquired. A standard normal variate combined with the Savitzky-Golay first derivative spectral transformation was adopted for the development of a partial least squares regression (PLSR) model to predict contamination concentrations. A successive projection algorithm (SPA) and uninformative variable elimination (UVE) for feature wavelength selection were compared. Two individual prediction models for peanut or walnut-contaminated flour, and a general multispectral model for both peanut-contaminated flour and walnut-contaminated flour, were developed. The optimal general multispectral model had promising results, with a determination coefficient of prediction (R-p2) of 0.987, and a root mean square error of prediction (RMSEP) of 0.373%. Visualization maps based on multispectral PLSR models reflected the contamination concentration variations in a spatial manner. The results demonstrated that near-infrared hyperspectral imaging has the potential to inspect peanut and walnut powders in flour for rapid quality control.
WOS关键词	UNINFORMATIVE VARIABLE ELIMINATION ; SUCCESSIVE PROJECTIONS ALGORITHM ; REAL-TIME PCR ; NIR-SPECTROSCOPY ; REFLECTANCE SPECTROSCOPY ; NONDESTRUCTIVE DETECTION ; MILK POWDERS ; SELECTION ; KERNELS ; ADULTERATION
WOS研究方向	Chemistry ; Materials Science ; Physics
语种	英语
WOS记录号	WOS:000441814300066
内容类型	期刊论文
源URL	[http://ir.ihep.ac.cn/handle/311005/286251]
专题	高能物理研究所_多学科研究中心高能物理研究所_实验物理中心高能物理研究所_粒子天体物理中心
作者单位	中国科学院高能物理研究所
推荐引用方式 GB/T 7714	Zhao, X,Guo YQ,Sun, CP,et al. Evaluation of Near-Infrared Hyperspectral Imaging for Detection of Peanut and Walnut Powders in Whole Wheat Flour[J]. APPLIED SCIENCES-BASEL,2018,8(7):1076.
APA	Zhao, X.,郭义庆.,Sun, CP.,Li, YF.,Chu, X.,...&Wang, W.(2018).Evaluation of Near-Infrared Hyperspectral Imaging for Detection of Peanut and Walnut Powders in Whole Wheat Flour.APPLIED SCIENCES-BASEL,8(7),1076.
MLA	Zhao, X,et al."Evaluation of Near-Infrared Hyperspectral Imaging for Detection of Peanut and Walnut Powders in Whole Wheat Flour".APPLIED SCIENCES-BASEL 8.7(2018):1076.