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RElative QUantitation Inferred by Evaluating Mixtures (REQUIEM).
Sami T Tuomivaara1, Paul Schliekelman2, Alison V Nairn3
1Complex Carbohydrate Research Center, 315 Riverbend Rd, Athens, GA 30602, USA.
Analytica Chimica Acta
|October 29, 2017
Summary
We developed REQUIEM, a novel method for accurate relative quantitation. This label-free approach enhances data accuracy by diagnosing and eliminating errors in analytical workflows.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Data Science
Background:
- Accurate relative quantitation is crucial in various scientific fields.
- Existing strategies for assessing data accuracy are often limited in applicability and ease of implementation.
- Challenges persist in reliably quantifying analyte levels across different samples.
Purpose of the Study:
- To introduce REQUIEM, a novel label-free approach for improving and assessing data accuracy in relative quantitation.
- To provide a generally applicable strategy for unbiased analyte fold-change determination.
- To enable the diagnosis and elimination of various types of errors in analytical data.
Main Methods:
- Development of the REQUIEM algorithm for processing analytical data.
- Preparation of sample mixtures from aliquots of original samples for parallel analysis.
- Application of the REQUIEM approach to tandem mass spectrometry using isomeric oligosaccharides.
Main Results:
- The REQUIEM algorithm provides unbiased analyte fold-changes and associated statistics.
- Extensive simulations and standard sample analyses confirm the rigorous foundation of REQUIEM.
- The method successfully identified inaccuracies in real-world analytical techniques.
Conclusions:
- REQUIEM offers a robust and implementable solution for enhancing data accuracy in relative quantitation.
- The approach effectively diagnoses and eliminates errors often missed by traditional methods.
- REQUIEM is applicable across diverse analytical techniques, including mass spectrometry.