Subscribe Now Subscribe Today
Research Article
 

Measurement of Lipid Supplements in Poultry Feed by Infrared Spectroscopy



Ronald A. Holser and Samantha A. Hawkins
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail
ABSTRACT

Rapid measurement of a fatty acid supplement in poultry feed formulations was performed using near Infrared (NIR) spectroscopy with chemometric analysis. A standard feed formulation was amended with up to 10 wt% fatty acid supplement containing Docosahexaenoic Acid (DHA) and scanned from 10,000 cm-1 to 4000 cm-1. Spectra were evaluated by Principal Component Analysis (PCA) to detect outliers followed by Partial Least Square (PLS) regression. Models were developed with first derivative spectra. A typical dataset of 36 spectra was subdivided with 30 spectra used for model calibration and 6 spectra for the validation set. The PLS model produced a regression coefficient of 0.98314 with an RMSEC value of 0.44772. This technique provided a rapid method to analyze the amount of fatty acids in supplemented feeds.

Services
Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

 
  How to cite this article:

Ronald A. Holser and Samantha A. Hawkins, 2011. Measurement of Lipid Supplements in Poultry Feed by Infrared Spectroscopy. International Journal of Poultry Science, 10: 677-679.

DOI: 10.3923/ijps.2011.677.679

URL: https://scialert.net/abstract/?doi=ijps.2011.677.679

REFERENCES
1:  Arterburn, L.M., E.B. Hall and H. Oken, 2006. Distribution, interconversion and dose response of n-3 fatty acids in humans. Am. J. Clin. Nutr., 83: 1467S-1476S.
Direct Link  |  

2:  Bhatty, R.S., 1991. Measurement of oil in whole flaxseed by near-infrared reflectance spectroscopy. J. Am. Oil Chem. Soc., 68: 34-38.
CrossRef  |  

3:  Cozzolino, D., M.J. Kwiatkowski, R.G. Dambergs, W.U. Cynkar, L.J. Janik, G. Skouroumounis and M. Gishen, 2008. Analysis of elements in wine using near infrared spectroscopy and partial least squares regression. Talanta, 74: 711-716.
PubMed  |  

4:  Fox, G. and A. Cruickshank, 2005. Near infrared reflectance as a rapid and inexpensive surrogate measure for fatty acid composition and oil content of peanuts (Arachis hypogaea L.). J. Infrared Spectrosc., 13: 287-291.
Direct Link  |  

5:  Harris, W.S., 1989. Fish oils and plasma lipid and lipoprotein metabolism in humans: A critical review. J. Lipid Res., 30: 785-807.
Direct Link  |  

6:  Leaf, A., 1990. Cardiovascular effects of fish oils: Beyond the platelet. Circulation, 82: 624-628.
PubMed  |  

7:  Panford, J.A. and J.M. DeMan, 1990. Determination of oil concentration of seeds by NIR: influence of fatty acid composition on wavelength selection. J. Am. Oil Chem. Soc., 67: 473-482.
CrossRef  |  

8:  Pazdernik, D.L., A.S. Killam and J.H. Orf, 1997. Analysis of amino and fatty acid composition in soybean seed, using near infrared reflectance spectroscopy. Agron. J., 89: 679-685.
Direct Link  |  

9:  Sato, T., 2002. New estimation method for fatty acid composition in oil using near infrared spectroscopy. Biosci. Biotechnol. Biochem., 66: 2543-2548.
PubMed  |  

10:  Tillman, B.L., D.W. Gorbet and G. Person, 2006. Predicting oleic and linoleic acid concentration of single peanut seeds using near infrared reflectance spectroscopy. Crop. Sci., 46: 2121-2126.

11:  Velasco, L. and H.C. Becker, 1998. Estimating the fatty acid composition of oil in intact seed rapeseed (Brassica napus L.) by near infrared reflectance spectroscopy. Euphytica, 101: 221-230.
Direct Link  |  

©  2021 Science Alert. All Rights Reserved