Hernández Hierro, José MiguelValverde, JuanVillacreces, SalvadorReilly, KimGaffney, MichaelGonzález-Miret Martín, María LourdesHeredia Mira, Francisco JoséDowney, Gerard2022-10-062022-10-062012Hernández Hierro, J.M., Valverde, J., Villacreces, S., Reilly, K., Gaffney, M., González-Miret Martín, M.L.,...,Downey, G. (2012). Feasibility study on the use of visible-near-infrared spectroscopy for the screening of individual and total glucosinolate contents in broccoli. Journal of Agricultural and Food Chemistry, 60 (30), 7352-7358. https://doi.org/10.1021/jf3018113.0021-85611520-5118https://hdl.handle.net/11441/137696The potential of visible-near-infrared spectroscopy to determine selected individual and total glucosinolates in broccoli has been evaluated. Modified partial least-squares regression was used to develop quantitative models to predict glucosinolate contents. Both the whole spectrum and different spectral regions were separately evaluated to develop the quantitative models; in all cases the best results were obtained using the near-infrared zone between 2000 and 2498 nm. These models have been externally validated for the screening of glucoraphanin, glucobrassicin, 4-methoxyglucobrassicin, neoglucobrassicin, and total glucosinolates contents. In addition, discriminant partial least-squares was used to distinguish between two possible broccoli cultivars and showed a high degree of accuracy. In the case of the qualitative analysis, best results were obtained using the whole spectrum (i.e., 400-2498 nm) with a correct classification rate of 100% in external validation being obtained.application/pdf26 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/BroccoliChemometricsGlucosinolatesNear-infrared spectroscopyVisible spectroscopyinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1021/jf3018113