Course information

HPLC Samples and Sample Preparation Techniques

HPLC SAMPLES AND SAMPLE PREPARATION TECHNIQUES

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.

WHO IS THIS COURSE FOR?

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

WHAT YOU WILL LEARN

By the end of the training, participants will be able to:

  1. Classify samples according to matrix complexity and analytical risk.

  2. Select sample-preparation strategies based on analyte chemistry and detection requirements.

  3. Design sample-preparation workflows that are defensible within an ISO 17025 context.

  4. Evaluate the effects of sample preparation on chromatographic performance.

  5. Identify common sample-preparation failures and investigate their likely root causes.

COURSE CONTENT

🔬 UNDERSTANDING HPLC SAMPLES

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

🧪 SAMPLE COLLECTION, STORAGE & INTEGRITY

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

📋 ISO 17025 SAMPLE MANAGEMENT

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

⚙️ FUNDAMENTAL SAMPLE PREPARATION PRINCIPLES

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

🧪 ANALYTE PROPERTIES AND SAMPLE-PREP STRATEGY

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

🛠️ PHYSICAL SAMPLE PREPARATION

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

🔬 FILTRATION AND CLARIFICATION

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

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

🧪 SOLVENT-BASED EXTRACTION

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

🧪 LIQUID–LIQUID EXTRACTION (LLE)

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

🧪 QuEChERS AND SALTING-OUT EXTRACTION

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

🔬 SOLID-PHASE EXTRACTION (SPE)

A substantial section of the training focuses on SPE and its use for selective sample cleanup.

SPE Fundamentals

  • Reversed-phase retention

  • Normal-phase retention

  • Ion-exchange mechanisms

  • Mixed-mode approaches

  • Comparison of SPE and LLE

SPE Method Development

  • Sorbent selection

  • Conditioning

  • Loading

  • Washing

  • Elution

  • Solvent strength and selectivity

SPE for Different Matrices

Applications include:

  • Food extracts

  • Environmental waters

  • Biological samples

  • Pharmaceutical formulations

Online SPE and Column Switching

An introduction to:

  • Advantages of online cleanup

  • Automation

  • Reproducibility

  • Conceptual approaches to column switching

🧬 SAMPLE PREPARATION FOR BIOLOGICAL MATRICES

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

🧪 DERIVATIZATION IN HPLC

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

📈 SAMPLE PREPARATION QUALITY CONTROL

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

🛠️ COMMON SAMPLE-PREPARATION FAILURES & TROUBLESHOOTING

The course uses chromatographic symptoms and root-cause analysis to examine common sample-preparation problems.

Chromatographic Symptoms

  • Ghost peaks

  • Broad peaks

  • Split peaks

  • Rapid column degradation

  • Poor reproducibility

Root-Cause Analysis

Potential causes examined include:

  • Matrix contamination

  • Incompatible solvents

  • Inadequate cleanup

  • Sample instability

Interactive troubleshooting cases are included.

💻 PRACTICAL COMPONENT — VIRTUAL ACTIVITIES

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

COURSE TAKEAWAYS

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.

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