A High-Throughput and Solvent-free Method for Measurement of Natural Polyisoprene Content in Leaves by Fourier Transform Near Infrared Spectroscopy

Shinya Takeno, Takeshi Bamba, Yoshihisa Nakazawa, Eiichiro Fukusaki, Atsushi Okazawa, Akio Kobayashi

研究成果: ジャーナルへの寄稿学術誌査読

28 被引用数 (Scopus)

抄録

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.

本文言語英語
ページ(範囲)537-540
ページ数4
ジャーナルJournal of Bioscience and Bioengineering
106
6
DOI
出版ステータス出版済み - 12月 2008
外部発表はい

!!!All Science Journal Classification (ASJC) codes

  • バイオテクノロジー
  • バイオエンジニアリング
  • 応用微生物学とバイオテクノロジー

フィンガープリント

「A High-Throughput and Solvent-free Method for Measurement of Natural Polyisoprene Content in Leaves by Fourier Transform Near Infrared Spectroscopy」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル