Solving Matrix Suppression in Ultra-Trace NDSRI Analysis

When “No Detection” Might Not Mean What You Think

Your LC-MS/MS analysis of a formulated drug product shows no nitrosamine detection. The result appears clear: your product doesn’t contain the N-nitrosamine drug substance-related impurity you were testing for.

But before reporting this finding, a critical question demands an answer: Is the analyte genuinely absent from your product, or is something in your sample matrix suppressing the signal and hiding its presence?

For ultra-trace analysis in complex formulations, this distinction isn’t academic. It’s the difference between accurate safety assessment and a false negative that misses a genuine impurity risk. When dealing with carcinogenic nitrosamine impurities at sub-ng/mL levels, you need absolute confidence in your results.

Watch: Systematic Investigation of Matrix Suppression

In this video, Resolian analytical scientist Tom Kershaw demonstrates how tailored method development with strategic screening reveals the truth hidden beneath matrix interference effects.

N-nitrosamines represent one of pharmaceutical analysis’s most demanding challenges. These carcinogenic, mutagenic impurities can form readily from nitrosatable amine groups present in many APIs. Regulatory authorities require risk assessment and validated analytical methods for products where formation risks are identified.

Tom’s project involved a formulated drug product identified by the client as presenting nitrosamine risk, requiring tailored method development to achieve confident detection at ultra-trace levels.

What You’ll Learn in This Video:

  • Why matrix suppression is a critical concern in ultra-trace nitrosamine analysis
  • Stationary and mobile phase screening strategies to separate API from analyte
  • The recovery experiment approach that reveals suppression vs. genuine absence
  • How unexpected chromatographic patterns indicate matrix interference
  • Full-scan MS techniques for identifying co-eluting excipients
  • Why pentafluorophenyl columns provide alternative selectivity to C18 phases
  • Systematic troubleshooting when multiple excipients cause suppression
  • Mobile phase optimization for baseline separation of interfering compounds
  • Validation approaches that exceed ICH Q2 R1 requirements for limit test methods

Tom’s systematic investigation demonstrates that confident ultra-trace results require more than initial method development. They require thorough investigation to rule out matrix effects.

Download Poster

Download a copy of the poster discussed here.

The Recovery Experiment That Revealed Suppression

After initial method development to separate the API (the largest co-eluting interference) from the target nitrosamine, Tom performed a critical experiment to determine if the absence of analyte signal was genuine.

The approach: spike a known quantity of nitrosamine into samples where the API concentration varied at 0.5 mg/mL, 0.1 mg/mL, and 0.01 mg/mL.

Expected outcomes if suppression wasn’t occurring:

  • If analyte present in product:5 mg/mL sample should show largest peak due to combined native + spiked analyte
  • If analyte truly absent: All three concentrations should show equal intensity (only spiked amount)

Actual result: Neither pattern appeared.

This unexpected outcome revealed that suppression was present, masking the true analyte response. Without this experiment, the method would have reported results that didn’t reflect reality.

Identifying the Culprits: Polysorbate and Benzoates

Using full-scan mode on the mass spectrometer, Tom identified that polysorbate (a common pharmaceutical excipient) was co-eluting with the target analyte. The telltale chromatogram signature confirmed the interference.

Based on prior experience, Tom selected a pentafluorophenyl stationary phase, which provides alternative selectivity compared to standard C18 columns. This successfully separated the polysorbate from the analyte.

Problem solved? Not quite.

Further recovery experiments revealed that additional excipients were still co-eluting and causing suppression. Using the known excipient list, Tom determined that two benzoates had potential to interfere. Through additional mobile phase screening (column changes risked re-introducing polysorbate co-elution), one benzoate achieved baseline separation by 0.5 minutes.

The Systematic Approach to Matrix Complexity

Tom’s methodology exemplifies best practices for ultra-trace analysis in complex matrices:

  1. Initial separation development – Distinguish API from analyte
  2. Recovery experiments – Verify absence vs. suppression
  3. Full-scan MS investigation – Identify specific interfering compounds
  4. Strategic column selection – Exploit alternative selectivity mechanisms
  5. Iterative screening – Address each interference source systematically
  6. Validation beyond requirements – Build confidence through repeatability/precision

Each step builds upon previous findings, progressively eliminating sources of interference until the method delivers results you can trust.

The Performance Improvement

Following this tailored method development, the performance improvement was dramatic. By systematically eliminating excipient interferences, the method achieved:

  • Confident determination that analyte levels were genuinely below detection limits
  • Not artificially suppressed by matrix effects
  • Validated repeatability and precision (exceeding ICH Q2 R1 requirements for limit test trace analysis)
  • Increased confidence in reported results

While ICH Q2 R1 doesn’t require repeatability and precision validation for limit test methods, performing these experiments adds crucial confidence that results reflect product reality rather than analytical artifacts.

Why Tailored Method Development Matters

Formulated drug products contain diverse excipients, each with potential to interfere with ultra-trace analysis. Polysorbates, benzoates, surfactants, preservatives, and other formulation components can:

  • Co-elute with target analytes
  • Suppress ionization in the mass spectrometer
  • Enhance signals through matrix effects
  • Create interferences that vary with concentration

Standard method development approaches may work for simpler matrices, but complex formulations demand tailored strategies that:

  • Systematically identify each interference source
  • Test recovery across concentration ranges
  • Verify that “no detection” means genuine absence
  • Build confidence through rigorous validation

For nitrosamine analysis where patient safety depends on accurate results, this thoroughness isn’t optional.

Expert Method Development for Complex Matrices

Resolian’s analytical sciences team specializes in tailored method development for ultra-trace impurity analysis in complex formulated products. Our expertise includes:

  • Systematic investigation of matrix suppression and enhancement effects
  • Strategic selection of stationary phases for alternative selectivity
  • Mobile phase optimization for challenging separations
  • Recovery experiments that verify genuine results vs. matrix artifacts
  • Validation approaches that exceed regulatory requirements
  • Experience with diverse pharmaceutical excipients and their analytical impacts

When standard methods don’t deliver confident results, we bring the systematic problem-solving and chromatographic expertise that reveals the truth hidden in complex matrices.

Ready to discuss your ultra-trace nitrosamine analysis or matrix interference challenges?

Contact our analytical sciences team to explore how tailored method development can deliver the confident results your products deserve.

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Zhiyang Zhao, Ph.D.

Chief Scientific Officer

Zhiyang Zhao, Ph.D., serves as Chief Scientific Officer (CSO) at Resolian. Dr. Zhao has over 30 years of pharmaceutical industry experience with special focus on drug metabolism and bioanalysis of small and large molecules in drug discovery and development. Dr. Zhao has previously held positions at Pfizer, GlaxoSmithKline, and Amgen. Before joining Resolian in 2015, Dr. Zhao served as Site Director of Preclinical Research at Amgen in Cambridge, Massachusetts, for over a decade. 

Currently, Dr. Zhao serves as an Adjunct Professor at the Eshelman School of Pharmacy of the University of North Carolina at Chapel Hill, North Carolina, and as Editor-in-Chief of Drug Metabolism & Bioanalysis Letters, a journal by Bentham Science, which publishes in all areas of drug metabolism and bioanalysis. Dr. Zhao received his Ph.D. degree in Medicinal Chemistry from Virginia Polytechnic and State University (popularly known as Virginia Tech) in Blacksburg, Virginia. 

 

Patrick Bennett

Chief Executive Officer

Patrick Bennett has over 35 years of experience in pharmaceutical analysis and laboratory management. Now Chief Business Officer at Resolian, Patrick’s experience includes the roles of Strategic Marketing Director for Pharma with Thermo Fisher Scientific, LabCorp, and Vice President of Strategy and Development with PPD. 

Patrick earned a B.S. degree in Toxicology and a M.S. degree in Pharmacology from the College of Pharmacy and Allied Health at St. John’s University and an M.B.A in International Marketing from the Martin J. Whitman School of Management at Syracuse University.