FT-IR Microspectroscopy and Multivariate Statistics on Plant Cells

Bertha M. Allen1, Curtis W. Meuse1, Christian P. Schultz2
1 Biotechnology Division, NIST, Gaithersburg, MD 20899
2 Bruker Optics Inc., Billerica, MA 01821

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 in conjunction 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 an objective, 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.