Feasibility study on the use of visible-near-infrared spectroscopy for the screening of individual and total glucosinolate contents in broccoli.

The 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.

[1]  P. Geladi,et al.  Linearization and Scatter-Correction for Near-Infrared Reflectance Spectra of Meat , 1985 .

[2]  A. Sloan.  top 10 functional food trends , 2008 .

[3]  R. Tkachuk.  Oil and protein analysis of whole rapeseed kernels by near infrared reflectance spectroscopy , 1981 .

[4]  R. Wildman,et al.  Handbook of Nutraceuticals and Functional Foods , 2019 .

[5]  D. Clarke.  Glucosinolates, structures and analysis in food , 2010 .

[6]  G. Downey,et al.  Review: The Application of near Infrared Spectroscopy to the Measurement of Bioactive Compounds in Food Commodities , 2010 .

[7]  Rafael Font,et al.  Quantification of glucosinolates in leaves of leaf rape (Brassica napus ssp. pabularia) by near-infrared spectroscopy. , 2005, Phytochemistry.

[8]  Nang Hseng Hom,et al.  Non-destructive analysis of rapeseed quality by NIRS of small seed samples and single seeds , 2006, Euphytica.

[9]  R. Tkachuk,et al.  CHLOROPHYLL ANALYSIS OF WHOLE RAPESEED KERNELS BY NEAR INFRARED REFLECTANCE , 1982 .

[10]  L. Velasco,et al.  Analysis of total glucosinolate content and individual glucosinolates in Brassica spp. by near‐infrared reflectance spectroscopy , 1998 .

[11]  M. Clifford,et al.  Plant Secondary Metabolites , 2006 .

[12]  R. Barnes,et al.  On the Scales Associated with Near-Infrared Reflectance Difference Spectra , 1995 .

[13]  Rafael Font,et al.  Use of near-infrared spectroscopy for screening the individual and total glucosinolate contents in Indian mustard seed (Brassica juncea L. Czern. & Coss.). , 2004, Journal of agricultural and food chemistry.

[14]  S. Wold,et al.  Partial least squares analysis with cross‐validation for the two‐class problem: A Monte Carlo study , 1987 .

[15]  M. D. Río-Celestino,et al.  Glucosinolate assessment in Brassica oleracea leaves by near-infrared spectroscopy , 2005, The Journal of Agricultural Science.

[16]  S. D. Jong,et al.  Handbook of Chemometrics and Qualimetrics , 1998 .

[17]  P. Dardenne,et al.  Fast analysis of rapeseed glucosinolates by near infrared reflectance spectroscopy , 1988 .

[18]  M. Dekker,et al.  Glucosinolates in Brassica vegetables: the influence of the food supply chain on intake, bioavailability and human health. , 2009, Molecular nutrition & food research.

[19]  B. Ernst,et al.  Extraction and analysis of intact glucosinolates--a validated pressurized liquid extraction/liquid chromatography-mass spectrometry protocol for Isatis tinctoria, and qualitative analysis of other cruciferous plants. , 2007, Journal of chromatography. A.

[20]  C. Petisco,et al.  Measurement of quality parameters in intact seeds of Brassica species using visible and near-infrared spectroscopy , 2010 .

[21]  Richard G. Brereton,et al.  Chemometrics: Data Analysis for the Laboratory and Chemical Plant , 2003 .

[22]  Rafael Font,et al.  The use of near-infrared spectroscopy (NIRS) in the study of seed quality components in plant breeding programs , 2006 .

[23]  Daniel Cozzolino,et al.  Near Infrared Spectroscopy in Natural Products Analysis , 2009, Planta medica.