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

doi:10.1263/jbb.106.537

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

Research output: Contribution to journal › Article › peer-review

28 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	537-540
Number of pages	4
Journal	Journal of Bioscience and Bioengineering
Volume	106
Issue number	6
DOIs	https://doi.org/10.1263/jbb.106.537
Publication status	Published - Dec 2008
Externally published	Yes

All Science Journal Classification (ASJC) codes

Biotechnology
Bioengineering
Applied Microbiology and Biotechnology

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

abstract = "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.",

author = "Shinya Takeno and Takeshi Bamba and Yoshihisa Nakazawa and Eiichiro Fukusaki and Atsushi Okazawa and Akio Kobayashi",

note = "Funding Information: This work was partly supported by the New Energy and Industrial Technology Development Organization (NEDO). The authors are very grateful to Mr. T. Ikeda, Mr. S. Hayashi, and Miss R. Kawahara (Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan) for helpful discussions.",

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AU - Nakazawa, Yoshihisa

AU - Fukusaki, Eiichiro

AU - Okazawa, Atsushi

AU - Kobayashi, Akio

N1 - Funding Information: This work was partly supported by the New Energy and Industrial Technology Development Organization (NEDO). The authors are very grateful to Mr. T. Ikeda, Mr. S. Hayashi, and Miss R. Kawahara (Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan) for helpful discussions.

PY - 2008/12

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N2 - 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.

AB - 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.

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

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