Tag Archives: FT-NIRS

466–480 M. Keskin, Y. Soysal, Y.E. Sekerli, A. Arslan and N. Celiktas
Assessment of applied microwave power of intermittent microwave-dried carrot powders from Colour and NIRS
Abstract |

Assessment of applied microwave power of intermittent microwave-dried carrot powders from Colour and NIRS

M. Keskin¹*, Y. Soysal¹, Y.E. Sekerli¹, A. Arslan¹ and N. Celiktas²

¹Department of Biosystems Engineering, Faculty of Agriculture, Hatay Mustafa Kemal University, TR31040 Antakya, Hatay, Turkey
²Department of Field Crops, Faculty of Agriculture, Hatay Mustafa Kemal University, TR31040 Antakya, Hatay, Turkey
*Correspondence: keskin@mku.edu.tr, mkeskinhatay@gmail.com

Abstract:

Applied microwave (MW) power level is an essential factor on the quality of the dried agricultural products. Even if higher MW powers result in shorter drying times, they lead to quality degradations. It is almost impossible to know the applied MW power of a dried and powdered product by human vision. Thus, the aim of this study was to predict the applied MW power of carrot powders by using two different instruments, a chromameter and FT-NIRS. The experiments were carried out at nine different power levels (100–500 W) with three replications (N = 27). The colour and NIR reflectance was measured using a chromameter and NIRS system. The data was analysed using PLS regression. The drying time of intermittent MW drying at the highest applied power of 500 W was 1.12–5.47 times shorter than those of other lower applied powers. Applied MW power was a crucial factor on all colour parameters of the powdered carrots. Brightness (L*) decreased significantly with the increase of applied MW power resulting in darker product colours. Data analysis results showed that the NIRS system (R2 = 0.99; SEP = 16.1 W) can predict the microwave power of powdered carrots with significantly better performance than a chromameter (R2 = 0.95; SEP = 29.9 W). But, the chromamater is far more inexpensive when compared with the NIRS system and hence, it can also be used to predict the applied MW power from the colour data relatively well. Also, a mathematical model was developed to predict applied MW power from the colour parameters.

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