Abstract

Near infrared (NIR) spectroscopy was used to classify insect-infested and sound seeds of a tropical multipurpose tree, Cordia africana Lam. A calibration model derived by partial least squares regression of orthogonal signal corrected spectra resulted in a 100% classification rate. Difference spectrum and partial least squares weight indicated that absorbance differences between insect-infested and sound seeds might have been due to differences in composition of chitin and cuticular lipid components as well as moisture content. The result shows the possibility of using NIR spectroscopy in the seed cleaning process in the future provided that appropriate sorting instruments are developed.

Keywords

NIR; near infrared; spectroscopy; partial least squares regression; Cordia africana; seed; seed quality; insect; insect infestation

Published in

Journal of Near Infrared Spectroscopy
2002, Volume: 10, number: 1, pages: 45-51
Publisher: N I R PUBLICATIONS

SLU Authors

• Oden, Per

  • Department of Silviculture, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Forest Science


Publication identifier

DOI: https://doi.org/10.1255/jnirs.320

Permanent link to this page (URI)

https://res.slu.se/id/publ/43874