Skip to main content
ARS Home » Plains Area » Fargo, North Dakota » Edward T. Schafer Agricultural Research Center » Food Animal Metabolism Research » Research » Publications at this Location » Publication #383805
Research Project: Detection and Fate of Environmental Chemical and Biological Residues and their Impact on the Food Supply

Location: Food Animal Metabolism Research

Title: Electrospray ionization mass spectrometry sans LC column: A rapid screening method for quantification of chemicals in animal tissues and body fluids

Author
item CHAKRABARTY, SHUBHASHIS - North Dakota State University
item Shelver, Weilin
item DAHLEN, CARL - North Dakota State University
item Smith, David

Submitted to: Journal of Association of Official Analytical Chemists International
Publication Type: Abstract Only
Publication Acceptance Date: 6/1/2021
Publication Date: 8/27/2021
Citation: Chakrabarty, S., Shelver, W.L., Dahlen, C.R., Smith, D.J. 2021. Electrospray ionization mass spectrometry sans LC column: A rapid screening method for quantification of chemicals in animal tissues and body fluids. Journal of Association of Official Analytical Chemists International. Abstract.

Interpretive Summary:

Technical Abstract: Electrospray ionization mass spectrometry, in conjunction with gas and/or liquid chromatography, is the method of choice for quantification of contaminants in food animal products. These techniques are sensitive, useful for accurate multi-residue analyses and are considered the gold standard for quantitative assay. However, sample preparation and analysis can be time consuming, labor intensive, and costly. Alternatively, ambient ionization-based techniques including DESI, DART, and ASAP are simple, rapid, and require minimal sample preparation, but are qualitative or semi-quantitative and can generate false-positive data. In this work, we demonstrated the quantitative capability of electrospray ionization rapid screening (RS-ESI-MS), a modification of ESI-MS, wherein LC-based separation and lengthy sample preparation for analysis are not needed. Using RS-ESI-MS, we detected and quantified veterinary drugs and cannabinoids in sub-ppb to ppb levels in animal plasma, saliva, urine and tissues. High correlations (r2 > 0.9) between RS-ESI-MS and LC-MS/MS were obtained, indicating accurate multi-compound analysis with RS-ESI-MS.