ULTRA-LOW LEVEL ANALYSIS OF ALDOSTERONE IN PLASMA USING THE XEVO TQ-XS FOR CLINICAL RESEARCH
Applications | 2019 | WatersInstrumentation
Aldosterone quantification in plasma at ultra-low concentrations is crucial for research into cardiovascular and renal disorders. Reliable measurement supports clinical studies of mineralocorticoid balance and improves understanding of hormone regulation in health and disease.
This study aimed to develop a high-sensitivity UPLC-MS/MS method using offline automated sample preparation to quantify aldosterone in human serum and plasma at sub-picomolar levels. The method was validated for linearity, precision, accuracy, carryover, and matrix effects to facilitate clinical research applications.
Sample preparation involved protein precipitation with zinc sulfate in methanol, followed by µElution cleanup on Oasis MAX plates using formic acid and ammonia in acetonitrile. The supernatant was diluted and injected into a Waters ACQUITY UPLC I-Class system with a CORTECS C18 column and VanGuard pre-column. Detection was performed on a Waters Xevo TQ-XS triple quadrupole mass spectrometer in negative electrospray ionization using multiple reaction monitoring. Sample handling was automated on a Tecan Freedom Evo 100 liquid handler.
The method provides high-throughput quantification of aldosterone from small sample volumes (200 µL), combining automation and µElution for efficient processing. It offers improved sensitivity and reliability for hormone profiling in clinical research studies and potential biomarker monitoring.
Advancements may include further miniaturization of sample preparation, integration with high-resolution mass spectrometry for comprehensive steroid panels, and adaptation to point-of-care platforms. Emerging ionization techniques and microfluidic systems could enhance throughput and reduce cost.
A sensitive and precise UPLC-MS/MS method for aldosterone determination in plasma has been established, demonstrating excellent performance metrics suitable for clinical research. Automated sample handling and robust validation support its implementation for routine hormone analysis.
Foley D., Hammond G., Dugas B., Calton L.J. Ultra-Low Level Analysis of Aldosterone in Plasma Using the Xevo TQ-XS for Clinical Research. Waters Corporation, 2019.
LC/MS, LC/MS/MS, LC/QQQ
IndustriesClinical Research
ManufacturerWaters
Summary
Importance of the Topic
Aldosterone quantification in plasma at ultra-low concentrations is crucial for research into cardiovascular and renal disorders. Reliable measurement supports clinical studies of mineralocorticoid balance and improves understanding of hormone regulation in health and disease.
Objectives and Study Overview
This study aimed to develop a high-sensitivity UPLC-MS/MS method using offline automated sample preparation to quantify aldosterone in human serum and plasma at sub-picomolar levels. The method was validated for linearity, precision, accuracy, carryover, and matrix effects to facilitate clinical research applications.
Methodology and Instrumentation
Sample preparation involved protein precipitation with zinc sulfate in methanol, followed by µElution cleanup on Oasis MAX plates using formic acid and ammonia in acetonitrile. The supernatant was diluted and injected into a Waters ACQUITY UPLC I-Class system with a CORTECS C18 column and VanGuard pre-column. Detection was performed on a Waters Xevo TQ-XS triple quadrupole mass spectrometer in negative electrospray ionization using multiple reaction monitoring. Sample handling was automated on a Tecan Freedom Evo 100 liquid handler.
Main Results and Discussion
- Calibration and Sensitivity: Calibration curves over 8–4162 pmol/L of aldosterone were linear (r² > 0.995). The method detected 3.3 pmol/L in plasma with signal-to-noise > 10.
- Precision: Total precision and repeatability at low (36 pmol/L), mid (286 pmol/L), and high (2932 pmol/L) concentrations were ≤ 6.3 % RSD.
- Carryover: No significant analyte carryover was observed after high concentration samples.
- Matrix Effects: Normalized matrix factors ranged 0.94–1.07 with average 1.01 and 5.2 % RSD, indicating robust internal standard compensation.
- Accuracy: External quality assessment (n = 15) showed mean method bias within ± 5.6 %, confirmed by Deming regression and Bland-Altman analysis.
Benefits and Practical Applications
The method provides high-throughput quantification of aldosterone from small sample volumes (200 µL), combining automation and µElution for efficient processing. It offers improved sensitivity and reliability for hormone profiling in clinical research studies and potential biomarker monitoring.
Future Trends and Potential Applications
Advancements may include further miniaturization of sample preparation, integration with high-resolution mass spectrometry for comprehensive steroid panels, and adaptation to point-of-care platforms. Emerging ionization techniques and microfluidic systems could enhance throughput and reduce cost.
Conclusion
A sensitive and precise UPLC-MS/MS method for aldosterone determination in plasma has been established, demonstrating excellent performance metrics suitable for clinical research. Automated sample handling and robust validation support its implementation for routine hormone analysis.
Reference
Foley D., Hammond G., Dugas B., Calton L.J. Ultra-Low Level Analysis of Aldosterone in Plasma Using the Xevo TQ-XS for Clinical Research. Waters Corporation, 2019.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Ultra-Low Level Analysis of Aldosterone in Plasma Using the Xevo TQ-XS for Clinical Research
2019|Waters|Applications
[ APPLICATION NOTE ] Ultra-Low Level Analysis of Aldosterone in Plasma Using the Xevo TQ-XS for Clinical Research Dominic Foley and Lisa Calton Waters Corporation, Wilmslow, UK APPLICATION BENEFITS ■■ ■■ Analytical selectivity of the Aldosterone is a mineralocorticoid steroid…
Key words
aldosterone, aldosteroneeqa, eqaxevo, xevomean, meanstripped, strippedclinical, clinicalplasma, plasmavanguard, vanguardlow, lowresearch, researchagreement, agreementserum, serumlevel, levelmethod, methodultra
UPLC-MS/MS Analysis of Aldosterone in Plasma for Clinical Research
2015|Waters|Applications
UPLC-MS/MS Analysis of Aldosterone in Plasma for Clinical Research Dominic Foley and Lisa Calton Waters Corporation, Wilmslow, UK A P P L I C AT I O N B E N E F I T S ■■ Analytical selectivity improves…
Key words
aldosterone, aldosteroneuplc, uplcclinical, clinicalpmol, pmolresearch, researchplasma, plasmaanalytical, analyticalanalytically, analyticallyphysiological, physiologicalinterferences, interferenceslow, lowoasis, oasisacquity, acquitytracking, trackingsensitivity
HOW LOW CAN WE GO? ANALYSIS OF ALDOSTERONE USING A HIGHLY ANALYTICALLY SENSITIVE TANDEM QUADRUPOLE MASS SPECTROMETER FOR CLINICAL RESEARCH
2016|Waters|Posters
HOW LOW CAN WE GO? ANALYSIS OF ALDOSTERONE USING A HIGHLY ANALYTICALLY SENSITIVE TANDEM QUADRUPOLE MASS SPECTROMETER FOR CLINICAL RESEARCH Dominic Foley1, Lisa J Calton1 1 Waters Corporation, Stamford Avenue, Altrincham Road, Wilmslow, SK9 4AX, UK INTRODUCTION Aldosterone plays a…
Key words
aldosterone, aldosteronexevo, xevounispray, unisprayimprecision, imprecisionplasma, plasmapmol, pmolanalytical, analyticalsteroid, steroiddeming, demingsensitivity, sensitivityarea, areaesi, esiclinical, clinicalpeak, peakglomerulosa
A COMBINED LC-MS/MS METHOD FOR THE ANALYSIS OF ALDOSTERONE AND PLASMA RENIN ACTIVITY FOR CLINICAL RESEARCH USING THE XEVO TQ ABSOLUTE MASS SPECTROMETER
2023|Waters|Posters
A COMBINED LC-MS/MS METHOD FOR THE ANALYSIS OF ALDOSTERONE AND PLASMA RENIN ACTIVITY FOR CLINICAL RESEARCH USING THE XEVO TQ ABSOLUTE MASS SPECTROMETER Dominic Foley, Robert Wardle and Lisa J Calton Waters Corporation, Wilmslow, Cheshire, UK. INTRODUCTION The Renin-Angiotensin-Aldosterone System…
Key words
renin, reninaldosterone, aldosteroneactivity, activityplasma, plasmaeqa, eqaxevo, xevomethod, methodangiotensin, angiotensinclinical, clinicalabsolute, absoluteusing, usingcryoactivation, cryoactivationraas, raasresearch, researchaltman