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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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摘要

In modern fruit processing technology, non-destructive quality measuring techniques are sought for determining and controlling changes in the optical, structural, and chemical properties of the products. In this context, changes inside the product can be measured during processing. Especially for industrial use, fast, precise, but robust methods are particularly important to obtain high-quality products. In this work, a newly developed multi-spectral imaging system was implemented and adapted for drying processes. Further it was investigated if the system could be used to link changes in the surface spectral reflectance during mango drying with changes in moisture content and contents of chemical components. This was achieved by recovering the spectral reflectance from multi-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 was modified to be used in drying, then the changes in the spectra and quality criteria during mango drying were measured. For this, mango slices were dried at air temperatures of 40−80 °C and relative air humidities of 5%−30%. Samples were analyzed and pictures were taken with the multi-spectral imaging system. The quality criteria were then predicted from spectral data. It could be shown that the 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 quality criteria of mangoes during drying. This way, quality changes can be monitored inline during the process using only one single measuring device.
机译:在现代果实加工技术中,寻求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。特别是对于工业用途,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适用于干燥过程。此外,如果系统可用于在芒果干燥过程中与水分含量和化学成分含量的变化链接在芒果干燥期间的表面光谱反射变化的变化。这是通过从多光谱图像数据中恢复光谱反射来实现的,并将光谱变化与产品的总可溶性固体(TSS),pH值和相对水分含量XWB进行比较来实现。在第一步中,将相机被修改为干燥,然后测量芒果干燥期间光谱和质量标准的变化。为此,在40-80℃的空气温度下干燥芒果切片,相对空气湿度为5%-30%。分析样品并采用多光谱成像系统进行图像。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。还有很强的迹象,即它可以用于在干燥过程中预测芒果的化学质量标准。这样,可以仅使用一个单个测量装置在过程中内联监视质量更改。

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