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SUMMARY:SHORT CHAIN FATTY ACID ANALYSIS USING LC-MS WITH SAMPLE DERIVATIZAT
 ION
LOCATION:Virtual Seminar
TZID:America/Denver
DTSTART:20200001T000000
UID:2026-05-17-04-51-19@natsci.colostate.edu
DTSTAMP:20260517T045119
Description:Literature Seminar:\n\nShort chain fatty acid levels (SCFAs) in
  the gut have been demonstrated time and again to be of great importance t
 o human health with wide ranging impacts\, including correlation to depres
 sion. Detecting and quantifying SCFAs has been limited in sensitivity as w
 ell as in efficiency via the typical techniques of GC-MS\, LC-MS/MS\, and 
 NMR. Often chemical modification of the SCFAs prior to analysis is require
 d to enhance the specificity (or separation) in the complex sample matrice
 s. Despite lengthy sample prep\, most current methods do not achieve the d
 etection limits required to use a small sample volume (&lt\; 10 μL)\, whi
 ch is ideal for efficient high throughput analysis. Presented here is a wo
 rk in which Girard’s reagent T is used to derivatize the SCFAs prior to 
 LC-MS quantitation. The Girard’s reagent T produces a permanent cation-l
 abeled SCFA\, resulting in high linearity as well as low limits of detecti
 on (nanomolar range) for a variety of SFCAs\, including the most prevalent
 : acetate\, butyrate\, and propionate. The method is several orders of mag
 nitude lower limits of detection than other SCFA quantitation methods and 
 was shown to be applicable to biological matrices such as cell culture med
 ia. Using the derivatization technique herein with LC-MS for high throughp
 ut analysis of SCFAs opens the door for large sample sizes (of small sampl
 e volumes) for further elucidation of SCFA relationships to depression and
  other diseases.\n\n&nbsp\; 4:00 pm
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