高光谱成像
小麦面粉
过氧化苯甲酰
食品科学
全麦
食品
材料科学
化学
复合材料
人工智能
计算机科学
聚合
聚合物
作者
Xiaping Fu,Jinchao Chen,Feng Fu,Chuanyu Wu
标识
DOI:10.1016/j.biosystemseng.2019.12.006
摘要
The presence of illegal additives in wheat flour is an important and broadly recognised global issue of food quality and safety. Hyperspectral imaging combines the advantages of spectroscopy and imaging techniques, and is widely used for food quality and safety evaluation. In this study, near-infrared hyperspectral imaging was used to discriminate low levels (<5.0%) of talcum powder and benzoyl peroxide (BPO) particles in wheat flour. After data pre-processing, spectra of wheat-talcum powder mixture samples were analysed by first derivative band difference, and the spectra of wheat-BPO mixture samples were analysed by spectral correlation measurement method and band ratio method. Successful results were obtained for discriminating single adulterants from wheat-talcum powder/BPO mixtures, as well as both adulterants synchronously from wheat-talcum powder-BPO mixtures. All these results show that NIR hyperspectral imaging technique combined with different spectral analysis methods can effectively discriminate the adulteration of talcum powder and BPO particles in wheat flour.
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