Quantification of hydroxycinnamic acids and lignin in perennial forage and energy grasses by Fourier-transform infrared spectroscopy and partial least squares regression

Gordon G. Allison, Simon C. Thain, Phillip Morris, Catherine Morris, Sarah Hawkins, Barabara Hauck, Tim Barraclough, Nicola Yates, Ian Shield, Anthony V. Bridgwater, Iain S. Donnison

Research output: Contribution to journalArticlepeer-review

48 Citations (SciVal)

Abstract

Levels of lignin and hydroxycinnamic acid wall components in three genera of forage grasses (Lolium, Festuca and Dactylis) have been accurately predicted by Fourier-transform infrared spectroscopy using partial least squares models correlated to analytical measurements. Different models were derived that predicted the concentrations of acid detergent lignin, total hydroxycinnamic acids, total ferulate monomers plus dimers, p-coumarate and ferulate dimers in independent spectral test data from methanol extracted samples of perennial forage grass with accuracies of 92.8%, 86.5%, 86.1%, 59.7% and 84.7% respectively, and analysis of model projection scores showed that the models relied generally on spectral features that are known absorptions of these compounds. Acid detergent lignin was predicted in samples of two species of energy grass, (Phalaris arundinacea and Pancium virgatum) with an accuracy of 84.5%.
Original languageEnglish
Pages (from-to)1252-1261
Number of pages10
JournalBioresource Technology
Volume100
Issue number3
Early online date14 Sept 2008
DOIs
Publication statusPublished - Feb 2009

Keywords

  • Lignin
  • hydroxycinnamic acids
  • Perennial grasses
  • Energy grasses
  • Fourier-transform spectroscopy

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