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SUMMARY:A Comprehensive Approach to Plant Metabolomics
LOCATION:Chemistry A101
TZID:America/Denver
DTSTART:20211110T160000
UID:2026-07-10-20-22-33@natsci.colostate.edu
DTSTAMP:20260710T202233
Description:Literature Seminar:\n\nWith the ever-growing population\, food 
 scarcity is becoming a more prominent issue\, but part of this issue comes
  back to climate change and the extreme weather patterns that can destroy 
 crops. Plant metabolomics is an emerging approach to better understand the
  relationship between environmental stressors\, such as climatic\, chemica
 l\, or biological events\, and overall plant health. It looks at the conce
 ntrations or levels of metabolites coupled with specific metabolic process
 es to provide insight into internal plant response. Targeted metabolites a
 re used as biomarkers for environmental stressors and to inform plant resp
 onse to such events. These target metabolites can be either primary\, whic
 h will fluctuate in concentrations\, or they can be secondary\, which only
  appear in response to a specific stress.  The typical approach to study 
 the metabolites is either Nuclear Magnetic Resonance (NMR) or Liquid Chrom
 atography Mass Spectrometry (LCMS). Both techniques have benefits\, but al
 one\, neither is able to provide a comprehensive picture of the plant meta
 bolome. Thus\, by pairing the techniques\, NMR can provide structural info
 rmation and LCMS can provide chemical characterization\, which strengthens
  the identification and characterization of the unknown metabolites. While
  the techniques are well practiced and understood\, a new method to fuse d
 ata sets between the two instruments has emerged\, which is showing a clea
 rer correlation and distinction between variables. By fusing the data sets
 \, multivariate analysis\, such as Partial Least Squares Discriminant Anal
 ysis\, provides more distinct results to help differentiate between data s
 ets. The benefits of this novel combined NMR and LCMS technique will be di
 scussed\, along with how fusing the data sets provides new information tha
 t provides new insight into plant metabolomics. 4:00 pm
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