Premium
Quantitative determination of the composition of individual pea seeds by fourier transform infrared photoacoustic spectroscopy
Author(s) -
Letzelter Nathalie S,
Wilson Reginald H,
Jones Alan D,
Sinnaeve Georges
Publication year - 1995
Publication title -
journal of the science of food and agriculture
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 142
eISSN - 1097-0010
pISSN - 0022-5142
DOI - 10.1002/jsfa.2740670215
Subject(s) - photoacoustic spectroscopy , partial least squares regression , fourier transform infrared spectroscopy , calibration , analytical chemistry (journal) , starch , fourier transform , photoacoustic imaging in biomedicine , spectroscopy , chemistry , infrared spectroscopy , sample preparation , chromatography , mathematics , optics , food science , statistics , physics , mathematical analysis , organic chemistry , quantum mechanics
Photoacoustic detection used in conjunction with multivariate partial least squares calibration showed a good predictive ability for the major components (starch, protein, lipid) of a single pea seed. Minimal sample preparation was required. The error of prediction achieved by photoacoustic spectroscopy was, for most components, close to the standard error of wet chemical methods but the technique had the advantage of a shorter analysis time and retained seed viability.