Poster presented at the XIVth European Poultry Conference, 23-27 June 2014, Norway. Aureli et al.

1. Use of near infrared spectroscopy to predict phytate P, total
P and crude protein of common poultry feed ingredients
R. Aureli, M. Umar Faruk , Ch. Noël, Q. Ueberschlag and P. Guggenbuhl
1Research Centre for Animal Nutrition and Health, DSM Nutritional Products France, Village-Neuf, France
Table 1: Results of near infrared spectroscopy (NIRS) calibration and validation sets for protein, total and phytate P contents for feed ingredients
RESULTS
XIVth European Poultry Conference, Stavanger, Norway 23– 27 June 2014
samples description
NIRS performance data
Calibration Validation
n Mean min max SD SEC 1-VR SECV SEP RSQ
Proteins (%) 219 23.4 6.14 62.1 15.09 0.687 0.99 0.797 0.738 0.99
Phytate P (g/kg) 297 0.45 0.01 1.36 0.35 0.121 0.73 0.158 0.099 0.92
Total P (%) 248 0.51 0.15 1.22 0.27 0.075 0.92 0.078 0.075 0.93
SECV: standard error of the cross validation; SEC: standard error of calibration ; SEP: standard error of prediction
OBJECTIVE
To develop near infrared spectroscopy (NIRS) calibration
in order to predict total P, phytate P and crude protein
level of commonly used raw material in monogastrics
feeds.
CONCLUSION
Results clearly demonstrated that the developed equations can
accurately predict the content of crude protein, total P and
phytate P in common feed ingredients using NIRS.
The ratios SECV/SEC for the three constituents tend to 1 supporting the
good precision of the calibration equation.
MATERIALS & METHODS 460 ingredient
samples (cereals, cereal by-products and
oilseed meals) were collected worldwide
during one year. The samples were ground
through a 0.5 mm sieve and stored at 4°C
until analysis.
Chemical reference methods
Crude protein: Leco car nitrogen analyzer
(N*6.25);
Total P: Inducted coupled plasma;
Phytate P : Ionic chromatography after
postcolumn reaction using UV detection at
290 nm.
Near-infrared spectroscopy measurements
Foss DS2500 monochromator ; 3.5 cm
diameter ring-cup;
Spectral absorbance values from 1100 to
2500 nm, every 0.5 nm; Modified partial
least-squares regression
Accurary of prediction: SEC/1-VR and SECV,
SEP,RSQ
Relationship between the chemical reference data and the NIR predicted data for crude protein, total P and phytate P content of several feed ingredients