Prediction of starch content and ethanol yields of sorghum grain using near infrared spectroscopy

Junhui Li, Shih Fang Chen, Song Li, Vijay Singh, Patrick J. Brown, Mary Grace C. Danao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A rapid quantification method was developed and validated for nondestructive measurement of starch content and ethanol yield of 48 cultivars of sorghum grain using Fourier transform near infrared (FT-NIR) spectroscopy in diffuse reflectance mode. Multiplicative scatter correction (MSC), Savitzky-Golay derivative smoothing, and mean centering were used for processing the spectra of ground sorghum grain. The processed spectra were correlated with starch content and ethanol produced through simultaneous saccharification and fermentation (SSF) using partial least squares regression (PLSR). Spectral range and the number of factors were optimized for the lowest root mean square error of prediction (RMSEP), coefficient of determination (R2), and ratio of performance to deviation (RPD). The best PLSR models for starch content had RMSEP = 1.23%, R2 = 0.94, and RPD = 2.66; likewise, models for ethanol yield had RMSEP =1.29 g/100 g grain, R2 = 0.96, and RPD = 1.92.The models developed demonstrated FT-NIR analysis as a practical method for screening different sorghum grain varieties by estimating starch content and ethanol yield to provide a rapid measure of conversion efficiency.

Original languageEnglish (US)
Title of host publicationAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014
PublisherAmerican Society of Agricultural and Biological Engineers
Pages1020-1028
Number of pages9
ISBN (Electronic)9781632668455
StatePublished - Jan 1 2014
EventAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014 - Montreal, Canada
Duration: Jul 13 2014Jul 16 2014

Publication series

NameAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014
Volume2

Other

OtherAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014
CountryCanada
CityMontreal
Period7/13/147/16/14

Keywords

  • Ethanol
  • Near-infrared
  • Sorghum
  • Spectroscopy
  • Starch

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Mechanical Engineering

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  • Cite this

    Li, J., Chen, S. F., Li, S., Singh, V., Brown, P. J., & Danao, M. G. C. (2014). Prediction of starch content and ethanol yields of sorghum grain using near infrared spectroscopy. In American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014 (pp. 1020-1028). (American Society of Agricultural and Biological Engineers Annual International Meeting 2014, ASABE 2014; Vol. 2). American Society of Agricultural and Biological Engineers.