Author
VANCE, CARRIE - Mississippi State University | |
OUYANG, XIAGUANG - Mississippi State University | |
KOUBA, ANDY - Mississippi State University | |
WILLARD, SCOTT - Mississippi State University |
Submitted to: Annual Biophysical Meeting
Publication Type: Abstract Only Publication Acceptance Date: 4/23/2015 Publication Date: 5/23/2015 Citation: Vance, C.K., Ouyang, X., Kouba, A.J., Willard, S.T. 2015. Near infrared spectroscopy and chemometrics analysis of complex traits in animal physiology. Annual Biophysical Meeting. 20(9):55. Interpretive Summary: Near infrared reflectance (NIR) applications have been expanding from the traditional framework of small molecule chemical purity and composition (as defined by spectral libraries) to complex system analysis and holistic exploratory approaches to questions in biochemistry, biophysics and environmental ecology. The increased complexity of compound biochemical systems depend on multivariate modeling in which the specific underlying chemistry is revealed in terms of matrix loadings and scores, which themselves reflect coupled groups of biomolecules that wax and wane correlatively. As such, we have employed NIR to ask basic questions about animal physiology and health across several taxa and species, and implement this biophotonic methodology for non-invasive, non-destructive real-time analysis of otherwise ill-defined traits. Here we exemplify how NIR spectroscopy can be used to determine sex and reproductive status in wild mammalian species to map population demographics in conservation biology. Technical Abstract: Near infrared reflectance (NIR) applications have been expanding from the traditional framework of small molecule chemical purity and composition (as defined by spectral libraries) to complex system analysis and holistic exploratory approaches to questions in biochemistry, biophysics and environmental ecology. The increased complexity of compound biochemical systems depend on multivariate modeling in which the specific underlying chemistry is revealed in terms of matrix loadings and scores, which themselves reflect coupled groups of biomolecules that wax and wane correlatively. As such, we have employed NIR to ask basic questions about animal physiology and health across several taxa and species, and implement this biophotonic methodology for non-invasive, non-destructive real-time analysis of otherwise ill-defined traits. Here we exemplify how NIR spectroscopy can be used to determine sex and reproductive status in wild mammalian species to map population demographics in conservation biology. |