Evaluation of Near-Infrared Hyperspectral Imaging for Detection of Peanut and Walnut Powders in Whole Wheat Flour
文献类型：期刊论文
| 作者 | Zhao, X; Guo YQ(郭义庆) ; Sun, CP; Li, YF; Chu, X; Ni, XZ; Wang, W
|
| 刊名 | APPLIED SCIENCES-BASEL
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：高能物理研究所
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