Abstract

Fourier transform mid-IR transmission spectroscopy (FTIR) was evaluated as an alternative to enzymatic analysis of starch remaining after fermentation in vitro. Different starch sources were incubated in vitro for 0-24 h. Potato starch, raw or gelatinized, wheat starch and maize starch were used in the Calibration set. For the Test set, 6 wheat samples of different varieties were included. Observations from 198 and 98 in vitro tubes were included in the Calibration and Test sets, respectively. The analytical reference method consisted of an enzymatic procedure including a heat stable amylase, amyloglucosidase and determination of total glucose. Samples for FTIR analysis were all taken from the supernatant after the amylase hydrolysis step and titrated to pH 8.3. An FTIR instrument, normally used for milk analysis, was used to obtain sample spectra. Absorbance values from 153 wavelengths (6.3-10 mu m) were used for calibrations against enzymatically determined starch expressed as glucose (g/L). Analysis of the Calibration set resulted in a multiple regression with five wavelengths with the highest slope parameter at 8.669 and the lowest (most negative) at 8.498 mu m. Mean prediction error (MPE) was (0.058) and the determination coefficient (R(2)) was 0.994. The calibration equation also predicted the Test set well, as indicated by a high R(2) (0.995). Mean prediction error was 0.125, but was mainly caused by bias and slope errors. The random error contributed to only 0.13 of total mean square prediction error which can be translated into a standard deviation of <30 g/kg air dry sample. Starch analysis by FTIR is precise and will simplify the analytical procedure and reduce the cost of analysis considerably. (C) 2009 Elsevier B.V. All rights reserved.

Keywords

Starch analysis; In vitro; FTIR

Published in

Animal Feed Science and Technology
2009, Volume: 152, number: 1-2, pages: 133-140
Publisher: ELSEVIER SCIENCE BV

SLU Authors

• Udén, Peter

  • Department of Applied Animal Science and Welfare, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Agricultural Science


Publication identifier

DOI: https://doi.org/10.1016/j.anifeedsci.2009.04.003

Permanent link to this page (URI)

https://res.slu.se/id/publ/49687