Feasibility Study on the Use of Visible–Near-Infrared Spectroscopy for the Screening of Individual and Total Glucosinolate Contents in Broccoli

Abstract

1The potential of visible-near infrared spectroscopy to determine selected individual and 2 total glucosinolates in broccoli has been evaluated. Modified partial least squares 3 (MPLS) regression was used to develop quantitative models in order to predict 4 glucosinolate contents. Both the whole spectrum and different spectral regions were 5 separately evaluated to develop the quantitative models, in all cases the best results were 6 obtained using the NIR zone between 2000 and 2498 nm. These models have been 7 externally validated for the screening of glucoraphanin, glucobrassicin, 4-8 methoxyglucobrassicin, neoglucobrassicin and total glucosinolates contents. In addition, 9 discriminant partial least squares was used to distinguish between two possible broccoli 10 cultivars and showed a high degree of accuracy. In the case of the qualitative analysis, 11 best results were obtained using the whole spectrum (i.e. 400-2498 nm) with a correct 12 classification rate of 100% in external validation being obtained. 13 14

Determination of phenolic substances of seeds, skins and stems from white grape marc by near-infrared hyperspectral imaging

“…, Hernández‐Hierro et al. ) and has been applied to several agricultural products and foods (Baye et al. , Gowen et al.…”

Using Near-Infrared Reflectance Spectroscopy (NIRS) to Predict Glucobrassicin Concentrations in Cabbage and Brussels Sprout Leaf Tissue

“…The models reported here outperform several others [27][28][29]. The model developed by Chen et al [30] performed better than the present study, and it was useful for qualitative determination of GBS in Chinese kale.…”

“…Since humans eat leaf tissue of cabbage and Brussels sprouts rather than the seeds, having quanti cation methods for leaf tissue is more relevant. Six studies have attempted to develop quantitative calibration models for leaf tissue of several GSL-containing plants with various degrees of success [25][26][27][28][29][30], and four of these included GBS for calibration based on dry weight reference values (Table 1). Of those, Sahamishirazi et al [27] reported a model that had poor performance in broccoli orets.…”

A Review of Optical Nondestructive Visual and Near-Infrared Methods for Food Quality and Safety

“…Hernández-Hierro et al [223] examined visible-NIR spectroscopy for freeze-dried broccoli. They concluded that it is potentially usable for screening of almost all individual glucosinolates and total glucosinolates.…”