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High End Quality Measuring in Mango Dryingthrough Multi-Spectral Imaging Systems

  • 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 contentxwbof 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.

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Author:Katrin Jödicke, Robin Zirkler, Timo Eckhard, Werner Hofacker, Bernd Jödicke
Parent Title (English):ChemEngineering; Special Issue "Selected papers from the Third Nordic Baltic Drying Conference (NBDC 2019)"
Volume:Vol. 4
Publisher:MDPI AG
Place of publication:Basel, CH
Document Type:Article
Year of Publication:2020
Release Date:2021/02/11
Tag:Chemical quality criteria; Fruit drying; Multi-spectral imaging systems; Quality prediction; Spectral changes
Issue:Issue 1
Page Number:13
Open Access?:Ja
Relevance:Peer reviewed Publikation in Liste der AG4
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International