Quantification of free sugars, fructan, pungency and sweetness indices in onion populations by FT‐MIR spectroscopy

• Published in: Journal of the science of food and agriculture Vol. 98; no. 14; pp. 5525 - 5533
• Main Authors: Clark, Christopher J, Shaw, Martin L, Wright, Kathryn M, McCallum, John A
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.11.2018; John Wiley and Sons, Limited
• Subjects: Allium cepa; composition; Fourier analysis; Fourier‐transform infrared; Fructose; fructo‐oligosaccharide; Glucose; Infrared spectra; multivariate analysis; Onions; Organic chemistry; Phenotyping; Plant breeding; Populations; Pungent principles; Pyruvic acid; Regression analysis; Solids; Spectroscopy; Spectrum analysis; Standard error; Sucrose; Sugar; Sweetness; sweetness index; Weight; Allium cepa; Fourier-transform infrared; fructo-oligosaccharide; sweetness index; composition; multivariate analysis

Background To facilitate faster phenotyping of onions (Allium cepa L.), Fourier‐transform mid infrared (FT‐MIR) spectroscopy with partial least squares (PLS) regression modelling was evaluated for the determination of pungency (pyruvate), sweetness (free sugars) and fructan in juice samples (n = 605...