A high-throughput and solvent-free method for measurement of natural polyisoprene content in leaves by Fourier transform near infrared spectroscopy.
Commercial development of natural polyisoprene from polyisoprene-producing plants requires detailed knowledge on how to select high-polyisoprene-content lines and establish agronomic cultivation methods for achieving maximum polyisoprene yield. This development can be facilitated by a high-throughput quantification method for natural polyisoprene. In this paper, we describe the Fourier transform near infrared spectroscopy (FT-NIR) technique coupled with a partial least squares (PLS) regression model to quantify natural polyisoprene in Eucommia ulmoides leaves. PLS regression models are discussed with respect to linearity, root-mean-square error of estimation (RMSEE), and root-mean-square error of prediction (RMSEP). The best PLS regression model was obtained with second derivative NIR spectra in the region between 4000-6000 cm(-1) (R2Y, 0.95; RMSEE, 0.25; RMSEP, 0.37). This is the first report to employ FT-NIR analysis for high throughput and solvent-free quantification of natural polyisoprene in leaves.
Takeno
Shinya
S
Department of Biotechnology, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.
Bamba
Takeshi
T
Nakazawa
Yoshihisa
Y
Fukusaki
Eiichiro
E
Okazawa
Atsushi
A
Kobayashi
Akio
A
D002070:Butadienes / Q000032:analysis*; D031283:Eucommiaceae / Q000737:chemistry; D008401:Gas Chromatography-Mass Spectrometry; D045782:Hemiterpenes / Q000032:analysis*; D010420:Pentanes / Q000032:analysis*; D018515:Plant Leaves / Q000737:chemistry*; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
D002070:Butadienes; D045782:Hemiterpenes; D010420:Pentanes; C005059:isoprene