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Published on: June 21, 2018
Internal Standard Utilization Strategies for Quantitative Paper Spray Mass Spectrometry
Lucas R Abruzzi1,2, John-Clare Laxton1,2, Taelor M Zarkovic1,2
1Department of Chemistry, Vancouver Island University, Nanaimo, BC V9R 5S5, Canada.
Optimizing internal standards (ISTD) for paper spray mass spectrometry (PS-MS) is crucial. Predepositing ISTD, especially with automation, significantly improves precision and accuracy for quantitative analysis, meeting forensic science standards.
Area of Science:
- Analytical Chemistry
- Mass Spectrometry
- Forensic Science
Background:
- Premixing internal standards (ISTD) with samples for paper spray mass spectrometry (PS-MS) is inefficient and not universally applicable.
- Independent ISTD deposition on paper, while feasible, can compromise quantitative accuracy and precision.
Purpose of the Study:
- To evaluate different ISTD utilization strategies for PS-MS to identify sources of irreproducibility and bias.
- To compare the quantitative performance of premixed, predeposited, and postdeposited ISTD methods.
- To assess the impact of robotic versus manual pipetting on ISTD deposition accuracy.
Main Methods:
- Investigated ISTD deposition strategies (premixed, predeposited, postdeposited) using drugs of misuse as analytes.
- Assessed performance based on precision (CV) and accuracy (bias) with varying ISTD volumes.
- Compared robotic liquid handling systems with manual pipetting for ISTD deposition.
- Utilized strategy-matched calibrations to correct for systematic biases.
Main Results:
- Premixed ISTD yielded the best results (average CV = 1%, |bias| = 5%), significantly outperforming independently deposited ISTD (average CV = 18%, |bias| = 61%).
- Predeposited ISTD with a robotic handler showed optimal performance at lower volumes (CV = 8% for 2 μL).
- Manual pipetting of low-volume predeposited ISTD resulted in poor performance, while postdeposited ISTD was generally inferior.
Conclusions:
- Predeposition of ISTD, particularly using automated systems, enhances quantitative performance in PS-MS.
- Strategy-matched calibration effectively corrects biases across different ISTD utilization methods.
- Achieved American Academy of Forensic Sciences (AAFS) accuracy and precision requirements in most evaluated scenarios.
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