Evaluation of spectral imaging for inspection of adulterants in terms of common wheat flour, cassava flour and corn flour in organic Avatar wheat (Triticum spp.) flour
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- 作者：Wen-Hao Su ; Da-Wen Sun ; 1 ; dawen.sun@ucd.ie
- 关键词：Hyperspectral imaging ; Adulteration ; Authentication ; Chemometric analysis ; Visualization
- 刊名：Journal of Food Engineering
- 出版年：2017
- 出版时间：May 2017
- 年：2017
- 卷：200
- 期：Complete
- 页码：59-69
- 全文大小：2104 K
- 卷排序：200
文摘
Qualitative measure of flour adulterants was explored by discriminant analysis. Regression models were used to quantitative analysis of flour adulteration. A new method for characteristic wavelength selection was tested. Optimal models were developed based on the selected feature wavelengths. Visualization maps were depicted using image processing algorithms.