Back to Search
Start Over
Using Near-infrared reflectance spectroscopy (NIRS) to predict glucobrassicin concentrations in cabbage and brussels sprout leaf tissue
- Source :
- Plant Methods, Plant Methods, Vol 16, Iss 1, Pp 1-12 (2020)
- Publication Year :
- 2020
-
Abstract
- BackgroundGlucobrassicin (GBS) and its hydrolysis product indole-3-carbinol are important nutritional constituents implicated in cancer chemoprevention. Dietary consumption of vegetables sources of GBS, such as cabbage and Brussels sprouts, is linked to tumor suppression, carcinogen excretion, and cancer-risk reduction. High-performance liquid-chromatography (HPLC) is the current standard GBS identification method, and quantification is based on UV-light absorption in comparison to known standards or via mass spectrometry. These analytical techniques require expensive equipment, trained laboratory personnel, hazardous chemicals, and they are labor intensive. A rapid, nondestructive, inexpensive quantification method is needed to accelerate the adoption of GBS-enhancing production systems. Such an analytical method would allow producers to quantify the quality of their products and give plant breeders a high-throughput phenotyping tool to increase the scale of their breeding programs for high GBS-accumulating varieties. Near-infrared reflectance spectroscopy (NIRS) paired with partial least squares regression (PLSR) could be a useful tool to develop such a method.ResultsHere we demonstrate that GBS concentrations of freeze-dried tissue from a wide variety of cabbage and Brussels sprouts can be predicted using partial least squares regression from NIRS data generated from wavelengths between 950 and 1650 nm. Cross-validation models had R2 = 0.75 with RPD = 2.3 for predicting µmol GBS·100 g−1fresh weight and R2 = 0.80 with RPD = 2.4 for predicting µmol GBS·g−1dry weight. Inspections of equation loadings suggest the molecular associations used in modeling may be due to first overtones from O–H stretching and/or N–H stretching of amines.ConclusionsA calibration model suitable for screening GBS concentration of freeze-dried leaf tissue using NIRS-generated data paired with PLSR can be created for cabbage and Brussels sprouts. Optimal NIRS wavelength ranges for calibration remain an open question.
- Subjects :
- Cancer chemoprevention
Reflectance spectroscopy
Plant Science
lcsh:Plant culture
01 natural sciences
Chemoprevention
Partial least squares regression
Glucobrassicin
Chemometrics
chemistry.chemical_compound
0404 agricultural biotechnology
food
Near-infrared spectroscopy
Genetics
lcsh:SB1-1110
Food science
lcsh:QH301-705.5
biology
Chemistry
010401 analytical chemistry
Brussels sprouts
Methodology
04 agricultural and veterinary sciences
biology.organism_classification
040401 food science
food.food
0104 chemical sciences
lcsh:Biology (General)
Cabbage
BRUSSELS SPROUT
Brassica oleracea
Near infrared reflectance spectroscopy
Biotechnology
Subjects
Details
- ISSN :
- 17464811
- Volume :
- 16
- Database :
- OpenAIRE
- Journal :
- Plant methods
- Accession number :
- edsair.doi.dedup.....e3a6f164946931a15991be140ca9851b