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Determination of oil content in whole corn (Zea mays L.) seeds by means of near infrared reflectance spectroscopy

journal contribution
posted on 2024-11-02, 09:29 authored by Alberto Fassio, Ernesto Restaino, Daniel Cozzolino
The objective of this study was to evaluate the ability of near infrared reflectance (NIR) spectroscopy to determine oil content in whole corn (Zea mays L.) samples sourced from a breeding program. Kernel samples were analysed in reflectance in the VIS and NIR regions (400-2500nm) at 2nm intervals using a scanning monochromator. Samples were scanned in a circular cell cup and reflectance data were stored as logarithm of the reciprocal reflectance (log1/R). Samples were not rotated when spectra collection was made. The coefficients of determination (R2) and the standard error of cross validation (SECV) obtained for the prediction of oil content in the calibration set were 0.90% and 0.17%, respectively. The residual predictive deviation (RPD=SD/SECV) value obtained was 2.3, indicating that these calibrations can be used for qualitative determination of oil content (e.g. low, medium and high) or preliminary screening in whole corn.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.compag.2014.11.015
  2. 2.
    ISSN - Is published in 01681699

Journal

Computers and Electronics in Agriculture

Volume

110

Start page

171

End page

175

Total pages

5

Publisher

Elsevier BV

Place published

Netherlands

Language

English

Copyright

© 2014 Elsevier B.V.

Former Identifier

2006089672

Esploro creation date

2020-06-22

Fedora creation date

2019-03-26

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