HPLC Training
Learn how sample characteristics, matrix complexity, analyte chemistry and preparation strategy influence HPLC results. This course covers practical approaches to sampling, extraction, filtration, SPE, LLE, QuEChERS, biological sample preparation, quality control and troubleshooting.
Build reliable HPLC results by understanding how sample collection, preparation, cleanup and matrix effects influence chromatographic performance.
AUDIENCE · SUGGESTED LEVEL: INTERMEDIATE · TRAINING TYPE: VIRTUAL
Sample preparation is a critical part of HPLC analysis. Poorly prepared samples can introduce matrix effects, interfere with detection, compromise column performance and reduce reproducibility.
“Bad chromatography almost always starts with bad samples.”
This training focuses on how to select and design sample-preparation strategies according to matrix complexity, analyte chemistry, detection requirements and analytical risk.
This course is designed for:
Analytical chemists working in food, feed, environmental, pharmaceutical and biological sectors
Quality managers
Regulatory laboratory personnel
Postgraduate students
Laboratory professionals involved in HPLC sample preparation and analysis
By the end of the training, participants will be able to:
Classify samples according to matrix complexity and analytical risk.
Select sample-preparation strategies based on analyte chemistry and detection requirements.
Design sample-preparation workflows that are defensible within an ISO 17025 context.
Evaluate the effects of sample preparation on chromatographic performance.
Identify common sample-preparation failures and investigate their likely root causes.
The course begins by establishing the distinction between the sample, test portion and test solution, and how each stage relates to the original matrix and the final injected solution.
Topics include:
Definition of sample, test portion and test solution
Relationship between original matrix, prepared extract and injected solution
Why HPLC can be less forgiving of dirty samples than GC
Matrix burden, column sensitivity and detector interference
Food and feed matrices
Environmental samples
Pharmaceutical samples
Biological samples
Botanical matrices
Matrix complexity, interference and analyte stability
Participants examine how sampling and storage decisions can affect the reliability of subsequent HPLC analysis.
Topics include:
Sample representativeness and homogeneity
Sample size considerations
Cross-contamination risks
Sample collection and handling
Temperature control: refrigeration versus freezing
Protection of light-sensitive analytes
Handling oxidation-prone compounds
Appropriate use of preservatives
Chain-of-custody considerations
Digital laboratory notebooks for sample tracking
The training addresses sample-management practices relevant to an ISO 17025 laboratory environment.
Topics include:
Sample identification and labelling
Chain of custody
Sample acceptance criteria
Sample rejection
Deviation documentation
Sample rejection decision-making through a case study
Each preparation step should have a clear analytical purpose.
Participants consider whether a preparation step is intended to:
Isolate the analyte
Simplify the matrix
Concentrate the analyte
Stabilise the analyte
Produce an HPLC-compatible final solution
Remove potential interferents
Protect the HPLC column and detector
Improve selectivity and sensitivity
Reduce matrix effects, particularly in LC-MS applications
Sample preparation should be aligned with the chemical characteristics of the target analyte.
Key properties include:
Polarity and logP
pKa and ionisation behaviour
Solubility
Stability
UV and fluorescence activity
Susceptibility to heat, light and oxygen degradation
The course covers physical techniques used to prepare samples before extraction or analysis.
Topics include:
Homogenisation
Grinding
Milling
Blending
Particle-size uniformity
Heat generation during sample processing
Potential analyte losses
Participants examine approaches for removing particulates and clarifying samples before injection.
Topics include:
Syringe filtration versus vacuum filtration
Filter material selection
PTFE, nylon and PVDF filters
Pore-size selection
Adsorption losses
Impact of filtration on chromatographic results
Centrifugation techniques and their role in sample clarification are covered, including:
Phase separation
Support for protein precipitation
Matrix clarification before injection
Evaluation of filtration and clarification effects on chromatograms
The course examines simple extraction approaches and their limitations.
Topics include:
Simple dilution
Dilute-and-shoot approaches
Conditions under which dilute-and-shoot may succeed or fail
Detector limitations when using UV versus MS detection
Participants explore the principles behind liquid–liquid extraction and how solvent and pH choices influence analyte recovery.
Topics include:
Partition coefficient concepts
Solvent selection
pH adjustment to control ionisation
Advantages and limitations of LLE
Applications to environmental water samples
Applications to biological fluids
Extraction of non-polar analytes
The course introduces QuEChERS and salting-out approaches, including:
QuEChERS principles and workflow
Role of buffering salts
Dispersive SPE (d-SPE) cleanup options
Suitability for food, feed and botanical matrices
Workflow simulation
A substantial section of the training focuses on SPE and its use for selective sample cleanup.
Reversed-phase retention
Normal-phase retention
Ion-exchange mechanisms
Mixed-mode approaches
Comparison of SPE and LLE
Sorbent selection
Conditioning
Loading
Washing
Elution
Solvent strength and selectivity
Applications include:
Food extracts
Environmental waters
Biological samples
Pharmaceutical formulations
An introduction to:
Advantages of online cleanup
Automation
Reproducibility
Conceptual approaches to column switching
Biological samples present additional challenges due to their complex composition.
Topics include:
Proteins
Phospholipids
Salts
Matrix effects
Ion suppression
Protein precipitation
Solvent selection using acetonitrile and methanol
SPE and LLE in bioanalysis
Cleanup efficiency
Recovery versus reproducibility
Matrix-matched calibration
The course examines when derivatization may be used to improve analytical performance.
Topics include:
Improving detectability
Enhancing selectivity
Improving chromatographic behaviour
Pre-column versus post-column derivatization
Stability considerations
Reproducibility risks
Reagent stability and traceability
ISO 17025 considerations
Method-validation implications
Participants explore quality-control practices for monitoring sample-preparation performance.
Topics include:
Reagent blanks
Procedural blanks
Matrix blanks
Recovery and trueness
Spiking strategies
Acceptable recovery ranges
Bias identification
Internal standards
Surrogate standards
Monitoring extraction efficiency
SOP compliance
Deviation and corrective-action documentation
Documentation and traceability
The course uses chromatographic symptoms and root-cause analysis to examine common sample-preparation problems.
Ghost peaks
Broad peaks
Split peaks
Rapid column degradation
Poor reproducibility
Potential causes examined include:
Matrix contamination
Incompatible solvents
Inadequate cleanup
Sample instability
Interactive troubleshooting cases are included.
The training includes virtual activities focused on applying sample-preparation concepts.
Activities include:
Matrix-preparation method decision trees
Recovery and matrix-effect calculations
Evaluation of chromatograms before and after cleanup
ISO 17025-style sample-preparation documentation
Virtual SPE method-optimisation exercise
Sample-rejection decision case study
Filtration impact demonstration
Participants will gain a structured understanding of how to:
Assess sample and matrix complexity
Select appropriate preparation strategies
Match preparation techniques to analyte chemistry
Apply filtration, centrifugation and extraction approaches appropriately
Understand LLE, QuEChERS and SPE workflows
Address the challenges of biological matrices
Apply sample-preparation quality-control principles
Recognise preparation-related chromatographic problems
Develop more traceable and defensible sample-preparation workflows within an ISO 17025 context
Effective HPLC analysis begins well before the sample reaches the injector. Good sample preparation is fundamental to reliable chromatographic results.