Rapid analysis of transgenic trees using transmittance near-infrared spectroscopy (NIR)

Tatsuhiko Yamada 1. , Ting-Feng Yeh 2. , Hou-Min Chang 3. , Laigeng Li 4. , John F. Kadla 5. ,  and Vincent L. Chiang 6.
  • 1. College of Natural Resources, North Carolina State University, Raleigh, NC, USA and Forestry and Forest Products Research Institute,Tsukuba, Ibaraki, Japan
  • 2. College of Natural Resources, North Carolina State University, Raleigh, NC, USA
  • 3. College of Natural Resources, North Carolina State University, Raleigh, NC, USA
  • 4. College of Natural Resources, North Carolina State University, Raleigh, NC, USA
  • 5. Biomaterials Chemistry, University of British Columbia, Vancouver, British Columbia, Canada
  • 6. College of Natural Resources, North Carolina State University, Raleigh, NC, USA

Abstract

Genetic engineering of trees has generated a large amount of interest in the development of highly improved transgenic trees. To efficiently monitor and control the properties of the transgenic products, a rapid, mini-scale analytical method is required. Transmittance near-infrared (NIR) spectroscopy was chosen as a fast analysis tool for characterizing the chemical properties of the transgenic products. Pellets were prepared from 75 mg of wood meal and directly scanned using transmittance NIR spectroscopy. Very strong correlations were obtained between the NIR data and conventional wet-chemistry results for the lignin content, S/G ratio, cellulose and xylose content. The results indicate that transmittance NIR is a powerful tool for determining and screening the chemical properties of transgenic trees.

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Holzforschung is an international scholarly journal that publishes cutting-edge research on the biology, chemistry, physics and technology of wood and wood components. High quality papers about biotechnology and tree genetics are also welcome. Rated year after year as one of the top scientific journals in the category of Pulp and Paper (ISI Journal Citation Index), Holzforschung represents innovative, high quality basic and applied research.

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