@Article{Amusant_etal2016,
author="Amusant, N.
and Beauchene, J.
and Digeon, A.
and Chaix, G.",
title="Essential oil yield in rosewood (Aniba rosaeodora Ducke): Initial application of rapid prediction by near infrared spectroscopy based on wood spectra",
journal="Journal of Near Infrared Spectroscopy",
year="2016",
volume="24",
number="6",
pages="507--515",
optkeywords="Aniba rosaeodora",
optkeywords="Calibration",
optkeywords="Essential oil yield",
optkeywords="Nir",
optkeywords="Pls",
optkeywords="Rosewood",
abstract="Rosewood (Aniba rosaeodora) essential oil is a valuable ingredient that has long been used in the perfume and cosmetic industries. The main rosewood timber quality parameters are its essential oil yield and quality. A hydrodistillation method has been developed for yield determination, but it is time consuming. Here we tested the applicability of near infrared (NIR) spectroscopy for determining essential oil yield directly from wood powder. Essential oil from 139 wood powders was extracted via hydrodistillation. The measurements were based on the ratio between the extracted essential oil mass and the oven-dried wood mass and were correlated with the wood powder NIR spectra. The calibration model statistical findings demonstrated that NIR could be a fast and feasible alternative method for selecting trees with a high essential oil yield potential. NIR-based predictions obtained in an independent validation set indicated a high correlation (r2e = 0.92) with laboratory essential oil yield measurements. This NIR model could help wood managers in selecting trees with a high essential oil yield potential and in developing sustainable rosewood management strategies. {\textcopyright} IM Publications LLP 2016. All rights reserved.",
optnote="Cited By :1; Export Date: 17 January 2017",
optnote="exported from refbase (http://php.ecofog.gf/refbase/show.php?record=707), last updated on Thu, 26 Jan 2017 10:51:07 -0300",
doi="10.1255/jnirs.1241",
opturl="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85008354552&doi=10.1255\%2fjnirs.1241&partnerID=40&md5=946cb83199ad2ae646051c9690d88f31"
}