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High End Quality Measuring in Mango Drying through Multi-Spectral Imaging Systems

机译:通过多光谱成像系统测量芒果干燥的高端质量

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In modern fruit processing technology, non-destructive quality measuring techniques aresought for determining and controlling changes in the optical, structural, and chemical properties of theproducts. In this context, changes inside the product can be measured during processing. Especiallyfor industrial use, fast, precise, but robust methods are particularly important to obtain high-qualityproducts. In this work, a newly developed multi-spectral imaging system was implemented andadapted for drying processes. Further it was investigated if the system could be used to link changesin the surface spectral reflectance during mango drying with changes in moisture content andcontents of chemical components. This was achieved by recovering the spectral reflectance frommulti-spectral image data and comparing the spectral changes with changes of the total soluble solids(TSS), pH-value and the relative moisture content xwb of the products. In a first step, the camera wasmodified to be used in drying, then the changes in the spectra and quality criteria during mangodrying were measured. For this, mango slices were dried at air temperatures of 40–80 ?C and relativeair humidities of 5%–30%. Samples were analyzed and pictures were taken with the multi-spectralimaging system. The quality criteria were then predicted from spectral data. It could be shown thatthe newly developed multi-spectral imaging system can be used for quality control in fruit drying.There are strong indications as well, that it can be employed for the prediction of chemical qualitycriteria of mangoes during drying. This way, quality changes can be monitored inline during theprocess using only one single measuring device.
机译:在现代果实加工技术中,采取非破坏性质量测量技术来确定和控制产品的光学,结构和化学性质的变化。在这种情况下,可以在处理期间测量产品内部的变化。特别是工业用途,快速,精确但坚固的方法尤为重要,无法获得高质量的产品。在这项工作中,实施了新开发的多光谱成像系统,并用于干燥过程。此外,如果该系统可用于将变化在芒果干燥期间的表面光谱反射率与化学成分的水分含量和Concontents的变化来连接。这是通过从多种光谱图像数据中恢复光谱反射率并将光谱变化与产品的变化进行比较来实现,并将PH值和产品的相对水分含量XWB的变化进行比较。在第一步中,测量相机被用来用于干燥,然后测量谱期间的光谱和质量标准的变化。为此,在40-80Ω·C的空气温度下干燥芒果切片,并且优选湿度为5%-30%。分析样品并采用多谱测定系统进行图像。然后从光谱数据预测质量标准。可以表明,新开发的多光谱成像系统可用于水果干燥中的质量控制。也是强烈的迹象,即它可以用于在干燥过程中预测芒果的化学质量克定。这样,可以仅使用一个单个测量装置在处理过程中在过程中在线监控质量更改。

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