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FT-IR Microspectroscopy and Multivariate Statistics on Plant Cells

Published

Author(s)

B M. Allen

Abstract

Agricultural biotechnology requires methods for the early diagnosis of the effects of environmental stressors such as excessive exposure to ozone, metal and nutrient deficiencies. The use of Fourier transform infra red microspectroscopy inconjunction with the pattern recognition schemes available in multivariate statistics represents an emerging measurement technology that can be used to assess the effects of oxidative stress in plant cells. The work presented here represents anobjective, methodical approach to detecting and characterizing model plant cells treated with an anti-ozonant known to provide ozone tolerance to plant tissues. The model system chosen for this study was the uni-cellular algae, chlorella.pyrenoidosa, which was found to be sensitive to many of the same environmental stressors as higher plants.
Proceedings Title
Sigma Xi Post Doctoral Poster Presentations, 2000
Conference Dates
February 17-18, 2000
Conference Title
Sigma Xi Web Page

Keywords

agricultural biotechnology, Fourier transform IR microspectroscopy, infrared microspectroscopy, multivariate statistics, oxidative stress, ozone, plant cells, uni-cellular algae

Citation

Allen, B. (2000), FT-IR Microspectroscopy and Multivariate Statistics on Plant Cells, Sigma Xi Post Doctoral Poster Presentations, 2000 (Accessed July 15, 2024)

Issues

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Created February 1, 2000, Updated February 17, 2017