Accuracy in a World of Chaos

How the Double Internal Standard Method Revolutionized Chemical Analysis

Introduction

Imagine needing to accurately measure a few drops of a specific substance in a huge swimming pool filled with various chemicals, where some drops might disappear without a trace during measurement while others might transform.

This is precisely the challenge scientists face in quantitative analysis of complex mixtures—from environmental pollution monitoring to pharmaceutical quality control. Russian scientists Igor Georgievich Zenkevich and Konstantin Mikhailovich Korolev proposed an ingenious solution to this problem—the modified double internal standard method, which significantly improves the accuracy of chromatographic determinations 1 .

The Challenge

Measuring trace components in complex matrices with variable losses during sample preparation.

The Solution

Using two internal standards to correct for analytical variables and improve accuracy.

Chromatography Basics

Chromatography is a powerful analytical method that separates complex mixtures into individual components. The principle resembles a race where different molecules move through a special column filled with sorbent at different speeds. As a result, each molecule reaches the "finish line" (detector) at its own time, allowing identification and measurement.

However, the main challenge arises when transitioning from qualitative analysis ("what is this substance?") to quantitative ("how much of this substance exactly?"). Traditional quantification methods face problems:

  • Analyte losses during sample preparation stages (sorption on vessel walls, incomplete extraction)
  • Incomplete progress of derivatization chemical reactions
  • Matrix effects — influence of complex sample composition on determination accuracy
Method Accuracy Loss Resistance Complexity
External Standard Low-Medium Low Low
Standard Addition Medium Medium Medium
Single Internal Standard High Medium Medium
Double Internal Standard Very High High High

Table 1: Comparison of chromatographic quantitative analysis methods

Double Standard Method

The method proposed by Zenkevich and Korolev is based on introducing two internal standards into the analyzed sample—substances similar in properties to the target analytes but absent in the original sample. These standards are homologs of the determined compounds—substances from the same chemical class but with slightly different structures (e.g., differing in hydrocarbon chain length) 1 .

Key Principle

If two homologs behave similarly in all sample preparation stages, then by the difference between their behavior and the behavior of analytes, we can accurately calculate losses of the main determined substances and make appropriate corrections.

Analogy

This approach resembles conducting a marathon with two pacemakers running at different speeds, allowing precise determination of each runner's capabilities regardless of external conditions.

How the Double Internal Standard Method Works
Sample Preparation

Two internal standards added to the sample

Processing

Sample undergoes extraction and derivatization

Analysis

Chromatographic separation and detection

Calculation

Correction based on standard behavior

Zenkevich's Experiment

To demonstrate the method's capabilities, researchers prepared model samples by applying polar alkancarboxylic acids onto a polar sorbent Silipor 75. This model system simulated real complex matrices with pronounced sorption properties 1 .

Step-by-Step Experimental Procedure
  1. 1 Introduction of standards: Precisely known amounts of two homologs of the determined acids were added to the original samples
  2. 2 Extraction: Acids were extracted from the sorbent
  3. 3 Derivatization: Acids were converted into more volatile derivatives—ethyl esters (esterification)
  4. 4 Gas chromatographic analysis: The resulting esters were separated and quantitatively determined
Determined Acid Added Amount, mg Found Amount, mg Relative Error, %
Acetic acid 10.0 9.8 -2.0
Propionic acid 10.0 9.9 -1.0
Butyric acid 10.0 9.5 -5.0
Valeric acid 10.0 9.2 -8.0

Table 2: Results of acid quantification using the double internal standard method

Results Analysis

The research results showed that relative determination errors were only (-1)-(-8)%, significantly less than when using other quantification methods 1 . Importantly, accuracy remained high regardless of losses of components at all sample preparation stages.

The greatest error was observed for acids with higher molecular weight, related to their slightly different behavior in extraction and derivatization processes. However, even these errors remained within limits acceptable for most analytical tasks.

Research Toolkit

Every scientific method requires its own "toolkit." Here are the main "ingredients" researchers use when working with the double internal standard method:

Reagent/Material Purpose Features
Analyte homologs Internal standards Must be chemically similar to analytes but absent in the original sample
Silipor 75 Polar sorbent Creates a model system with sorption properties
Extraction solvents Extracting analytes from matrix Must effectively desorb substances without altering them
Derivatization reagents Converting analytes to derivatives For gas chromatography, often create volatile derivatives (esters)

Table 3: Key reagents and materials for the double internal standard method

Chemical Standards
Chemical Standards

High-purity homologs used as internal references for accurate quantification.

Chromatography Equipment
Chromatography Equipment

Advanced instrumentation for separation and detection of chemical compounds.

Sample Preparation
Sample Preparation

Tools and reagents for extracting, purifying, and derivatizing samples before analysis.

Applications

The double internal standard method finds applications across various fields of analytical chemistry:

Environmental Analysis

Determination of pesticides, PAHs, and other pollutants in soil, water, and plant objects 1 .

Bioanalysis

Monitoring pharmaceutical drugs and their metabolites in biological fluids with high precision.

Food Industry

Quality control and authenticity verification of food products, detecting contaminants and additives.

Pharmaceuticals

Analysis of complex multicomponent drug formulations and quality assurance in manufacturing.

Key Advantage

An important advantage of the method is its versatility—it can be extended to any number of carbon atoms in standard molecules and applied even when homologs of determined analytes are already present in original samples 1 .

Future Prospects

Despite impressive capabilities, the method has a single significant limitation—the necessity for availability of comparison samples of target analytes 1 . In some cases, obtaining such standards can be challenging and expensive.

Development Prospects
  • Expanding the range of determinable substances
  • Automation of the sample preparation process
  • Integration with modern chromato-mass spectrometric detectors
  • Application of machine learning algorithms to predict homolog behavior
Conclusion

The work of Zenkevich and Korolev demonstrates that even in well-established scientific fields like chromatographic analysis, opportunities exist for significant improvement of accuracy and method reliability.

Their approach using the double internal standard represents an elegant solution to the complex problem of accounting for analyte losses at sample preparation stages. This method reminds us that sometimes the most effective solutions come not through complication but through cleverer use of already available tools and principles.

References