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Why use charged aerosol detection with inverse gradient?

Technical notes | 2020 | Thermo Fisher ScientificInstrumentation
HPLC
Industries
Manufacturer
Thermo Fisher Scientific

Summary

Importance of the topic


Charged aerosol detection with inverse gradient offers a universal and sensitive approach for quantifying nonvolatile and semivolatile analytes in liquid chromatography. By compensating gradient composition after the column but before detection, it maintains uniform response across diverse compounds and enables single calibrant quantitation. This method addresses limitations of UV absorbance and mass spectrometry detectors whose responses depend on chromophores or ionization efficiency.

Objectives and Study Overview


The study evaluates three inverse gradient workflows using a dual-pump Vanquish Flex Duo UHPLC with charged aerosol detection. It compares “keep solvent composition,” “maximize organic content,” and “minimize flow” approaches in terms of response uniformity, sensitivity, solvent consumption, cost, and environmental impact. Four structurally diverse analytes—saccharin, cephalexin, bumetanide, and cortisone—serve as test compounds.

Methodology and Instrumentation


Instrumentation
  • Vanquish Flex Duo UHPLC system with dual pump, split sampler, column compartment, charged aerosol detector, and optional UV detector
  • Chromeleon 7.3 software with inverse gradient wizard
Compounds and Conditions
  • Analytes prepared in water/acetonitrile mixtures, working standards from 5 to 100 µg/mL
  • Analytical gradient: 10 to 40 % B in 0.1 min, hold, then return to 10 % B; flow 0.3 mL/min
  • Inverse gradient setup uses capillaries and T-piece to introduce compensating flow
  • CAD parameters optimized for uniform response: power function value 1.1, evaporation temperature 35 °C, filter 1 s

Key Results and Discussion


Comparison of detectors without compensation showed nonuniform CAD response (RSD 28 %). Applying the “keep solvent composition” workflow improved uniformity (RSD 18 %).
“Maximize organic content” achieved the highest sensitivity and signal-to-noise but doubled acetonitrile consumption and increased cost. “Minimize flow” protected the detector from excessive combined flow rates, maintained similar uniformity to the first option, and kept solvent use moderate. Detailed analysis revealed trade-offs between sensitivity, solvent consumption, and operational costs.

Benefits and Practical Applications


  • Uniform detector response across chemically diverse analytes enables universal calibration and single calibrant quantitation
  • Flexibility to tune sensitivity or reduce solvent use based on application needs
  • Suitable for pharmaceutical impurity profiling when standards are scarce, QA/QC labs, and environmental analysis

Future Trends and Potential Applications


Advancements may include tighter software integration to automate inverse gradient offsets, coupling CAD with mass spectrometry for complementary detection, and adoption of green chemistry practices to lower solvent volumes. Emerging detectors and workflows will further streamline universal quantitation across separation techniques.

Conclusion


Inverse gradient coupled to charged aerosol detection provides a robust, universal solution for quantitative chromatography without reliance on analyte-specific standards. The three workflow options allow users to balance uniform response, enhanced sensitivity, or reduced solvent consumption to meet diverse analytical and sustainability goals.

References


1. Gamache P H Charged Aerosol Detection for Liquid Chromatography and Related Separation Techniques Wiley 2017
2. Thermo Fisher Scientific Technical Note 72806 Factors Affecting Uniform CAD Response 2018
3. Thermo Fisher Scientific Technical Note 71290 Method Transfer to Corona Veo Detectors 2017
4. Gamache P H Nebulization and Droplet Formation Effects in CAD Wiley 2017
5. Thermo Fisher Scientific Installation Guide Vanquish Duo Inverse Gradient 2020
6. Thermo Fisher Scientific Application Note 72594 Universal Calibration of Paclitaxel Impurities 2019
7. Thermo Fisher Scientific Application Note 72869 Multi-Detector UHPLC Analysis 2020
8. Armenta S de la Guardia M Green Analytical Chemistry Elsevier 2010

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