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VIS/NIR spectral signature for the identification of peanut contamination of powder foods

机译:VIS / NIR光谱特征识别粉末食品中的花生污染

摘要

Visible-near infrared reflectance spectra are proposed for the characterization of IRMM 481 peanuts variety in comparison to powder food materials: wheat flour, milk and cocoa. Multidimensional analysis of reflectance spectra of powder samples shows a specific NIR band centred at 1200 nm that identifies peanut compared to the rest of food ingredients, regardless compaction level and temperature. Spectral range of 400-1000 nm is not robust for identification of blanched peanut. The visible range has shown to be reliable for the identification of pre-treatment and processing of unknown commercial peanut samples. A spectral index is proposed based on the combination of three wavelengths around 1200 nm that is 100% robust against pre-treatment (raw or blanched) and roasting (various temperatures and treatment duration).
机译:与可见的粉状食品原料(小麦粉,牛奶和可可粉)相比,提出了可见近红外反射光谱来表征IRMM 481花生品种。粉末样品反射光谱的多维分析显示,与压实度和温度无关,与其余食品成分相比,中心在1200 nm处有一个特定的NIR谱带可识别花生。 400-1000 nm的光谱范围对于识别发白的花生并不稳健。可见范围已显示出可用于识别未知商业花生样品的预处理和加工。提出了一种基于1200 nm左右的三个波长的组合的光谱指数,该波长对预处理(原始或热烫)和烘烤(不同的温度和处理时间)具有100%的稳定性。

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