Abstract
The aim of the present study was the evaluation of the performance of analytical models developed with both mid-infrared (MIR) and near-infrared (NIR) spectral data, to assess the phytochemical composition and in vitro antioxidant activity, besides individual phenolic compounds determined by HPLC-DAD, of flours from 21 distinct cultivars of Phaseolus vulgaris L. Partial least squares (PLS) regression was used to develop the analytical models, which were validated with an external set of samples. In MIR, the best prediction models were developed using the first derivative after normalization (R2c 0.86–0.99 and R2v 0.75–0.94), while for NIR, the use of the first derivative of the spectra after normalization led to the best results (R2c 0.94–0.99 and R2v 0.85–0.97). Both techniques allowed to ascertain the prediction models to ensure an accurate evaluation of the individual phenolic compounds in concentrations as low as ~ 5 μg g−1 and in vitro antioxidant capacity until the lower limit of 2.1 μmol g−1 dw. Therefore, this study revealed that the spectroscopic methodologies may represent an accurate and rapid method for quantification of phytochemical composition, in vitro antioxidant activity and individual phenolic compounds of bean flours; thus, their applicability in the food industry is representing an alternative to the traditional approaches.
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Acknowledgements
The authors are grateful to Maria Manuela Veloso and José António Passarinho from INIAV, for the multiplication of common bean accessions and for providing the seeds.
Funding
This work was supported by National Funds by FCT―Portuguese Foundation for Science and Technology, under the project UIDB/04033/2020. N.M. kindly acknowledges the postdoctoral research grant BDP/UTAD/Innovine&Wine/959/2016 from the Project INNOVINE&WINE―Plataforma de inovação da vinha e do vinho, n.° da operação NORTE-01-0145-FEDER-000038. The first author also acknowledges the financial support provided by the FCT-Portuguese Foundation for Science and Technology (PD/BD/128277/2017), under the Doctoral Programme “Agricultural Production Chains – from fork to farm” (PD/00122/2012)”.
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Carbas, B., Machado, N., Oppolzer, D. et al. Prediction of Phytochemical Composition, In Vitro Antioxidant Activity and Individual Phenolic Compounds of Common Beans Using MIR and NIR Spectroscopy. Food Bioprocess Technol 13, 962–977 (2020). https://doi.org/10.1007/s11947-020-02457-2
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DOI: https://doi.org/10.1007/s11947-020-02457-2