Protein content determination in Brassica oleracea species using FT‐NIR technique and PLS regression |
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Authors: | Tamás Szigedi József Lénárt Mihály Dernovics Sándor Turza Marietta Fodor |
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Affiliation: | 1. Department of Applied Chemistry, Corvinus University of Budapest, H‐1118 Budapest, Villányi ut 29‐33, Hungary;2. Department of Genetics and Plant Breeding, Corvinus University of Budapest, H‐1118 Budapest, Ménesi ut 44, Hungary;3. Flextra‐Lab Kft. Budapest, H‐1195 Budapest, Jókai utca 26/C, Hungary |
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Abstract: | Six fresh and one frozen vegetable cultivar groups possessing remarkably different morphology from the same Brassica oleracea species, including broccoli, Brussels sprouts, curly cabbage, white cabbage, red cabbage, cauliflower and white kohlrabi, were chosen to set up a Fourier transform near‐infrared spectroscopy (FT‐NIR)‐based method for the quantification of protein content. Sample preparation was based on lyophilisation and homogenisation. Calibration was set up with the help of the Kjeldahl method for the quantification of protein content in the range of 12.9–32.5 m/m%. Calibration model was developed using the spectral regions 1136–1334 and 1639–1836 nm, with partial least squares regression. This model was checked by cross‐validation. The performance of the final FT‐NIR estimation model was evaluated by root mean square of cross‐validation, root‐mean‐square error of estimation and the determination coefficient (R2). The final estimation function for the protein determination was characterised with the predictive error of 0.76 m/m% and R2 value of 98.81. |
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Keywords: | Brassica oleracea FT‐NIR Kjeldahl protein vegetables |
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