Taking the Trouble Out of TroubleshootingIs It the Column, Method, or Instrument
Presentations | 2016 | Agilent TechnologiesInstrumentation
Liquid chromatography (LC) is a cornerstone technique in analytical chemistry for separation, identification and quantitation of complex mixtures. Reliable separations are essential for drug development, quality control, environmental monitoring and food safety. Troubleshooting unexpected pressure spikes, distorted peak shapes or retention time shifts is critical to maintain instrument uptime, ensure data integrity and extend column lifetime.
This application note by Rita Steed (September 29, 2016) examines a systematic approach to LC troubleshooting. Rather than attributing problems solely to the column or instrument, the study addresses the full separation system—including sample quality, mobile phase preparation and extra-column effects. The goal is to identify common error sources, propose diagnostic tests and recommend preventive measures.
The author reviews typical HPLC failure modes in three categories: system pressure anomalies, peak-shape distortions and retention/selectivity changes. Key diagnostic steps include pressure checks with and without columns, test injections of standard mixtures and evaluation of extra-column volume. Agilent instrumentation mentioned includes:
Instrument parameters (flow rates, temperatures, detectors) are varied to isolate hardware or method-related causes.
1. Pressure Issues
2. Peak Shape Problems
3. Retention and Selectivity Shifts
Implementing a structured troubleshooting protocol reduces instrument downtime, minimizes sample reanalysis and extends column lifetime. Adopting filtration and sample-cleanup steps (SPE, QuEChERS) preserves instrument integrity, while tailored mobile phase preparation ensures reproducible separations.
Advances in smart diagnostics and automated troubleshooting routines promise to accelerate fault identification. Machine-learning algorithms could predict column end-of-life or recommend preventive maintenance. Emerging high-pH and polymer-based stationary phases will broaden method robustness against extreme mobile phase conditions.
A holistic view of LC separations—encompassing column, instrument, mobile phase and sample—is necessary to diagnose and prevent common analytical problems. By following best practices in filtration, column cleaning and mobile phase handling, analysts can maintain high performance and reproducibility.
Consumables, HPLC, LC columns
IndustriesManufacturerAgilent Technologies
Summary
Significance of the Topic
Liquid chromatography (LC) is a cornerstone technique in analytical chemistry for separation, identification and quantitation of complex mixtures. Reliable separations are essential for drug development, quality control, environmental monitoring and food safety. Troubleshooting unexpected pressure spikes, distorted peak shapes or retention time shifts is critical to maintain instrument uptime, ensure data integrity and extend column lifetime.
Objectives and Study Overview
This application note by Rita Steed (September 29, 2016) examines a systematic approach to LC troubleshooting. Rather than attributing problems solely to the column or instrument, the study addresses the full separation system—including sample quality, mobile phase preparation and extra-column effects. The goal is to identify common error sources, propose diagnostic tests and recommend preventive measures.
Methodology and Instrumentation
The author reviews typical HPLC failure modes in three categories: system pressure anomalies, peak-shape distortions and retention/selectivity changes. Key diagnostic steps include pressure checks with and without columns, test injections of standard mixtures and evaluation of extra-column volume. Agilent instrumentation mentioned includes:
- Agilent 1290 Infinity LC System
- Agilent 6410A LC/MS
- Agilent 1100 DAD and WPS modules
- ZORBAX RRHD Eclipse Plus C18 columns (1.8–5 µm)
- ZORBAX HILIC Plus 1.8 µm column
Instrument parameters (flow rates, temperatures, detectors) are varied to isolate hardware or method-related causes.
Main Results and Discussion
1. Pressure Issues
- High back pressure often arises from plugged inlet frits, contaminated purge valves or sample particulates. Low pressure typically indicates pump or connection faults.
- Preventive actions: filter all solvents and samples, install in-line filters, perform regular column back-flushing and replace buffer solutions every 24–48 h.
- Microbial growth in aqueous buffers can mimic hardware problems; use fresh mobile phase, amber bottles and biocidal additives.
2. Peak Shape Problems
- Split or broad peaks may be caused by column contamination, injection solvent strength, extra-column dead volumes or detector response rates.
- Tailing peaks result from residual silanol interactions, partially blocked frits or poor connections; fronting indicates overloading or voids.
- Best practices: optimize injection solvent strength, minimize extra-column volume through proper tubing and flow cell selection, and flush columns with successively stronger organic solvents.
3. Retention and Selectivity Shifts
- Retention changes can stem from bonded phase loss, mobile phase composition or buffer degradation. Minor variations in % organic, pH, temperature or flow rate affect retention times by several percent.
- Lot-to-lot variability and proportioning valve performance can alter selectivity (alpha values) across columns of different particle sizes.
- Consistent buffer preparation (order of mixing, volumetric accuracy) and verification with test mixtures are essential.
Benefits and Practical Applications
Implementing a structured troubleshooting protocol reduces instrument downtime, minimizes sample reanalysis and extends column lifetime. Adopting filtration and sample-cleanup steps (SPE, QuEChERS) preserves instrument integrity, while tailored mobile phase preparation ensures reproducible separations.
Future Trends and Potential Applications
Advances in smart diagnostics and automated troubleshooting routines promise to accelerate fault identification. Machine-learning algorithms could predict column end-of-life or recommend preventive maintenance. Emerging high-pH and polymer-based stationary phases will broaden method robustness against extreme mobile phase conditions.
Conclusion
A holistic view of LC separations—encompassing column, instrument, mobile phase and sample—is necessary to diagnose and prevent common analytical problems. By following best practices in filtration, column cleaning and mobile phase handling, analysts can maintain high performance and reproducibility.
References
- Steed R., "Taking the Trouble Out of Troubleshooting: Is It the Column, Method, or Instrument?", Agilent Technologies, Pub. No. 5991-1309EN, September 29, 2016.
- The LC Handbook, Agilent Technologies, Pub. No. 5990-7595EN.
- Making LC Connections, Agilent Technologies, October 24, 2016.
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