View Article

  • A Review on Gas Chromatography: Techniques, Methodologies, and Applications-Implications to Pharmaceutical Research

  • Department of Chemistry, Anurag University, Hyderabad, India.

Abstract

Gas chromatography (GC) is a powerful analytical technique used for the separation, identification, and quantification of volatile and semi-volatile compounds. This review explores the fundamental principles of GC, focusing on its working mechanism, stationary phases, column selection, operational conditions, sample introduction techniques, detection devices, and detection processes. Additionally, it covers qualitative and quantitative methods, applications in drug substance development, sample preparation techniques, derivatization methods, and chiral gas chromatographic applications. The article concludes with a discussion on recent advancements and future prospects of GC in pharmaceutical analysis.

Keywords

Gas Chromatography, Analytical Techniques, Method Development, Impurity Profiling, Pharmaceutical Applications.

Introduction

Gas chromatography (GC) is a vital analytical tool, particularly in the pharmaceutical industry, due to its ability to detect and quantify volatile and semi-volatile compounds with high sensitivity. It plays a crucial role in impurity profiling, quality control, and regulatory compliance by identifying trace levels of genotoxic and nitrosamine contaminants in drug substances. GC operates on the principles of separation science, utilizing an inert carrier gas to transport analytes through a column for effective isolation and detection [1]. Since its introduction in the mid-20th century, GC has undergone continuous advancements, improving its precision, efficiency, and applicability across various industries, including pharmaceuticals, environmental analysis, and food safety. Key technological developments, such as highly sensitive detectors, capillary columns, and GC-mass spectrometry (GC-MS) integration, have significantly enhanced its resolution and detection capabilities. Additionally, automation and advanced sample introduction techniques such as headspace sampling and solid-phase microextraction (SPME) have improved reproducibility and efficiency. Despite its many advantages, GC is primarily suited for volatile and semi-volatile compounds. High molecular weight or thermally unstable analytes often require derivatization to enhance volatility and detectability. Nonetheless, GC remains an indispensable technique in pharmaceutical research, ensuring drug safety and regulatory compliance. This review explores its fundamental principles, instrumentation, methodologies, and applications in pharmaceutical analysis while highlighting recent advancements and future prospects [2-3].

2. Physical Components of Gas Chromatography (GC)

Gas chromatography consists of Carrier Gas System, Sample Injection System, Heated Injection Port, Chromatographic Column and Oven, Detector System and Data Processing System. The block diagram of Gas chromatograph depicted in Figure1.

       
            Block Diagram of Gas Chromatograph.png
       

Figure1. Block Diagram Of Gas Chromatograph.

3. Working Principle of Gas Chromatography

Principles of Operation

GC operates by first vaporizing the sample in an injection port, typically maintained at a temperature higher than the boiling points of the analytes to ensure complete volatilization. The carrier gas commonly helium, nitrogen, or hydrogen acts as the mobile phase, sweeping the analytes into the column, where separation occurs based on differential partitioning [4].

Separation Mechanism

The chromatographic column, often a capillary column with an inner coating of a stationary phase, provides the medium for analyte separation. The interaction of analytes with the stationary phase is influenced by van der Waals forces, dipole interactions, hydrogen bonding, and solubility effects. Components with stronger interactions with the stationary phase elute later, while those with weaker interactions elute earlier. Factors such as temperature programming and column dimensions (length, inner diameter, and film thickness) play a crucial role in resolution and efficiency. The separation process of Gas chromatograph is shown in Figure2 [5].

       
            Separation process Diagram of Gas chromatograph.png
       

Figure2. Separation process Diagram of Gas chromatograph

3. Stationary Phases in Gas Chromatography

The stationary phase in gas chromatography (GC) is a critical factor influencing the resolution, selectivity, and efficiency of analyte separation. It is typically a liquid or polymeric coating immobilized on the inner surface of the column, allowing differential interactions with the analytes as they migrate through the system. The choice of stationary phase is based on the physicochemical properties of the analytes, including their polarity, volatility, and functional groups [6].

Types of Stationary Phases

  1. Polysiloxane-Based Phases
    Polysiloxanes, also known as silicone-based stationary phases, are the most widely used due to their thermal stability and chemical versatility. They can be modified by incorporating functional groups to adjust polarity and selectivity. Common polysiloxane phases include:

Dimethylpolysiloxane (100% PDMS): Non-polar and widely used for hydrocarbons, non-polar solvents, and lipophilic compounds.

Phenyl-Modified Polysiloxanes: Increased polarity for separating aromatic and moderately polar compounds.

Cyanopropyl-Modified Phases: Provide enhanced selectivity for polar compounds such as nitriles, esters, and ketones.

  1. Polyethylene Glycol (PEG) Phases
    PEG-based stationary phases (also referred as Carbowax) are highly polar and suitable for separating alcohols, organic acids, and other hydrophilic compounds. They interact via hydrogen bonding and dipole interactions, making them effective for analytes with significant polarity.
  2. Chiral Stationary Phases
    For enantiomeric separations, chiral stationary phases (CSPs) are used to differentiate optical isomers based on their stereochemistry. These phases often contain cyclodextrins or modified polysaccharides that form transient diastereomeric complexes with enantiomers, enabling their resolution.

The some common commercially available GC columns tabulated in Table1.


Table1. Some examples of commercially available GC column with their properties

 

Column Name

Type of Stationary Phase

Basic Structure

Density (g/mL)

Viscosity

Average Molecular Weight (g/mol)

DB-1 (Agilent J&W)

100% Dimethylpolysiloxane

Non-polar Polysiloxane

~0.97

High

~10,000–100,000

DB-5 (Agilent J&W)

5% Phenyl, 95% Dimethylpolysiloxane

Moderately polar Polysiloxane

~1.02

High

~40,000–150,000

DB-624 (Agilent J&W)

6% Cyanopropyl, 94% Dimethylpolysiloxane

Slightly polar Polysiloxane

~1.03

Medium-High

~50,000–200,000

Rtx-1 (Restek)

100% Dimethylpolysiloxane

Non-polar Polysiloxane

~0.97

High

~10,000–100,000

Rtx-5 (Restek)

5% Phenyl, 95% Dimethylpolysiloxane

Moderately polar Polysiloxane

~1.02

High

~40,000–150,000

HP-5 (Agilent J&W)

5% Phenyl, 95% Dimethylpolysiloxane

Moderately polar Polysiloxane

~1.02

High

~40,000–150,000

BPX-5 (SGE)

5% Phenyl, 95% Dimethylpolysiloxane

Moderately polar Polysiloxane

~1.02

High

~40,000–150,000

HP-35 (Agilent J&W)

35% Phenyl, 65% Dimethylpolysiloxane

Moderately polar Polysiloxane

~1.05

Medium-High

~50,000–200,000

DB-WAX (Agilent J&W)

Polyethylene Glycol (PEG)

Highly polar PEG-based phase

~1.13

Very High

~50,000–200,000

Rtx-WAX (Restek)

Polyethylene Glycol (PEG)

Highly polar PEG-based phase

~1.12

Very High

~50,000–200,000

SP-2560 (Supelco)

100% Cyanopropyl Polysiloxane

Highly polar Polysiloxane

~1.04

Medium

~50,000–200,000

Rtx-200 (Restek)

100% Trifluoropropyl Methylpolysiloxane

Highly polar Fluorinated phase

~1.08

Medium

~50,000–200,000


4. Selection Considerations for Gas Chromatography Columns

The choice of a gas chromatography (GC) column is a crucial factor that influences separation efficiency, resolution, and analysis time. GC columns vary in length, internal diameter, and film thickness, with capillary columns being the preferred choice for most modern applications due to their superior separation performance compared to packed columns. Several key factors must be considered when selecting an appropriate column for a specific analytical application. The selection considerations for Capillary GC Columns with Examples has shown in Table2.


Table2. Selection considerations for Capillary GC Columns with Examples.

 

Selection Parameter

Description

Example Columns

Column Length (m)

- Affects resolution and analysis time.

- Longer columns (30–75 m): Higher resolution but longer run times.

- Shorter columns (10–15 m): Faster analysis with lower resolution.

- DB-1 (60 m, Agilent J&W) for complex separations.

- HP-5 (15 m, Agilent J&W) for rapid screening.

 

Column Internal Diameter (ID, mm)

- Influences sample capacity and resolution.

- Narrow-bore (0.10–0.25 mm ID): High efficiency, better resolution, but lower sample capacity.

- Standard-bore (0.32 mm ID): Good balance between resolution and sample load.

- Wide-bore (0.45–0.53 mm ID): Higher sample capacity but lower resolution.

- Rtx-5 (0.25 mm ID, Restek) for general-purpose separations.

- DB-WAX (0.53 mm ID, Agilent J&W) for higher sample loading.

 

Column Film Thickness (µm)

- Affects retention time and sensitivity.

- Thin films (0.1–0.25 µm): Fast elution, sharper peaks, suitable for high-boiling analytes.

- Thick films (1–5 µm): Increased retention, suitable for highly volatile compounds.

- DB-5 (0.25 µm, Agilent J&W) for standard separations.

- SPB-624 (1.4 µm, Supelco) for volatile organic compounds (VOCs).


By carefully selecting a GC column based on these factors, analysts can achieve optimal separation, peak resolution, and reproducibility for their specific applications [7].

5. Operational Conditions of Gas Chromatography Columns

The performance of a gas chromatography (GC) column is significantly influenced by operational parameters such as carrier gas flow rate, temperature programming, and column conditioning. Proper optimization of these factors ensures high resolution, reproducibility, and sensitivity in analytical separations.

Carrier Gas Flow Rate

The carrier gas serves as the mobile phase in GC, transporting analytes through the column. Common carrier gases include helium, nitrogen, and hydrogen.


Table3. Effect of Carrier Gas Flow Rate on Gas Chromatography Performance

 

Flow Rate

Resolution

Retention Time

Peak Shape

Analysis Time

Example/Application

Low Flow Rate (e.g., 0.5–1.0 mL/min)

High (better separation)

Long

Narrow, well-resolved peaks

Slow

Complex mixtures requiring high resolution (e.g., impurity profiling in pharmaceuticals, enantiomeric separation)

Moderate Flow Rate (e.g., 1.0–2.0 mL/min)

Optimal balance

Moderate

Symmetrical peaks

Reasonable

Routine pharmaceutical quality control (e.g., residual solvent analysis, stability studies)

High Flow Rate (e.g., 2.0–4.0 mL/min)

Low (peak coelution risk)

Short

Broadened, overlapping peaks

Fast

High-throughput screening (e.g., environmental VOC analysis, rapid industrial process monitoring)


A lower carrier gas flow rate in gas chromatography improves resolution by allowing analytes more time to interact with the stationary phase, leading to better peak separation. However, this comes at the cost of longer retention times, increasing overall analysis time. A moderate flow rate provides the best compromise between separation efficiency, speed, and sensitivity, ensuring well-resolved peaks while maintaining a reasonable analysis time. In contrast, a higher flow rate reduces retention time, allowing for faster separations, but it can negatively impact resolution by causing peak coelution and broadening (Table3) [8]. Additionally, sensitivity may decrease due to reduced analyte interaction time with the detector, leading to lower signal intensity. Therefore, selecting the optimal flow rate requires balancing speed, resolution, and sensitivity based on the analytical requirements.

Temperature Programming

Temperature plays a crucial role in analyte separation. Isothermal operation (constant temperature) is suitable for analyzing compounds with similar boiling points, while temperature programming is used for complex mixtures with a wide range of volatilities. A graphical presentation of gradient program depicted in Figure3. Impact of Temperature Programming on Resolution and Sensitivity is tabulated in Table4.

       
            Typical graph for a gradient temperature program in GC.png
       

Figure3. Typical graph for a gradient temperature program in GC


Table4. Impact of Temperature Programming on Resolution and Sensitivity

 

Temperature Program

Effect on Resolution

Effect on Sensitivity

Example/Application

Slow Temperature Ramp (e.g., 2–5°C/min)

High resolution, better separation of closely eluting peaks

Increased sensitivity for low-volatility analytes due to better peak shape

Pharmaceutical impurity profiling, chiral separations

Moderate Ramp Rate (e.g., 5–10°C/min)

Balanced resolution and faster analysis

Good sensitivity for a broad range of compounds

Essential oil analysis, fatty acid methyl esters (FAMEs) in food

Fast Temperature Ramp (e.g., 10–30°C/min)

Lower resolution, risk of peak coelution

Decreased sensitivity for late-eluting compounds due to peak broadening

High-throughput environmental VOC analysis, industrial process monitoring

High Final Hold Time (e.g., 5–10 min at max temperature)

Prevents carryover and ensures full elution of heavy compounds

Ensures complete detection of high-boiling analytes

Petroleum hydrocarbons, pesticide residue analysis


Gradient temperature programs improve resolution by reducing retention of late-eluting compounds while maintaining sharp peak shapes. A typical temperature ramp increases the oven temperature at 5–20°C/min, optimizing separation without excessive peak tailing or broadening [9].

Column Conditioning

Before use, GC columns must be conditioned to remove residual contaminants and stabilize the stationary phase. This involves heating the column to its upper temperature limit under carrier gas flow for several hours. Proper conditioning minimizes baseline noise and prevents unwanted interactions that could affect analytical performance.

By carefully optimizing carrier gas flow rate, temperature programming, and column conditioning, analysts can achieve precise, reproducible, and high-resolution chromatographic separations, ensuring reliable analytical outcomes.

6. Sample Introduction into Gas Chromatography Inlet Systems

Sample introduction is a critical step in gas chromatography (GC) that influences sensitivity, reproducibility, and chromatographic performance. The choice of injection technique depends on the sample type, concentration, and volatility. Proper sample preparation and injection method selection ensure optimal analyte transfer into the column while minimizing matrix effects and degradation.

Types of Sample Introduction Techniques

  1. Split Injection
    • Commonly used for concentrated samples.
    • A portion of the sample vapor is directed into the column, while the excess is vented out through the split vent.
    • Provides fast sample vaporization and reduced column overload.
    • Suitable for high-concentration analytes (?0.1% w/w).
  2. Splitless Injection
    • Used for trace-level analysis to maximize sensitivity.
    • The entire sample is introduced into the column with the split vent closed for a set duration before opening to purge residual solvent.
    • Ideal for environmental, pharmaceutical, and forensic applications where analytes are present in very low concentrations (<0>
  3. On-Column Injection
    • The liquid sample is directly injected into the column without vaporization in the inlet.
    • Best for thermally labile and high-molecular-weight compounds that might degrade in hot injection ports.
    • Ensures accurate quantification with minimal discrimination.
  4. Thermal Desorption Injection
    • Used for volatile and semi-volatile compounds adsorbed onto solid-phase materials (e.g., air monitoring and flavor analysis).
    • The trapped sample is thermally desorbed into the column for analysis.
    • Provides high sensitivity for trace-level volatile organic compounds (VOCs).

Importance of Sample Preparation

Proper sample preparation enhances sensitivity, protects the column, and minimizes matrix interferences. Techniques such as solid-phase microextraction (SPME), derivatization, and filtration improve the reliability of GC analysis. By selecting the appropriate injection technique and optimizing sample preparation, analysts can achieve precise and reproducible results across a wide range of applications [10].

7. Detection Devices and Detection process in Gas Chromatography

Detection devices in gas chromatography (GC) are essential for identifying and quantifying analytes after their separation in the column. Each detector operates based on distinct principles, offering varying sensitivity, selectivity, and application suitability.

Some common GC Detectors are Flame Ionization Detector (FID), Thermal Conductivity Detector (TCD), Electron Capture Detector (ECD), Mass Spectrometry (MS) detector, Flame Photometric Detector (FPD), Nitrogen-Phosphorus Detector (NPD), Photoionization Detector (PID), Helium Ionization Detector (HID), Atomic Emission Detector (AED) making it useful for multi-elemental analysis in petrochemical and pharmaceutical applications. The comparison of detection devices with respect to common detectable compounds and its reported minimum detectable count is tabulated in Table5.

Detection Process

The detection process involves three key steps: ionization or signal generation, signal processing, and data interpretation.

  1. Ionization or Signal Generation: Depending on the detector type, analytes undergo chemical ionization, thermal conductivity changes, or charge-based interactions to generate a measurable signal.
  2. Signal Processing: The generated signal is converted into an electrical output proportional to analyte concentration. Modern GC systems use amplifiers and digital converters to improve accuracy and reduce noise.

Data Interpretation: The processed signals produce a chromatogram, where peak areas or heights correspond to analyte concentration. Retention time and peak shape help in compound identification and quantification.


Table5. Comparison of GC Detectors

 

Detector Type

Example of Detectable Compound

Example of Minimum Detectable Amount

Detection Process

Flame Ionization Detector (FID)

Hydrocarbons, alcohols, esters, fatty acids

~1 pg (picogram)

Organic compounds are burned in a hydrogen-air flame, producing ions detected as an electrical signal.

Thermal Conductivity Detector (TCD)

Permanent gases (H?, He, N?, CO?), simple organic molecules

~1 ng (nanogram)

Measures changes in thermal conductivity of carrier gas due to the presence of analytes.

Electron Capture Detector (ECD)

Halogenated compounds, pesticides, nitrosamines

~0.1 fg (femtogram)

Uses a radioactive ?-emitter (Ni-63) to generate electrons; electronegative analytes capture electrons, reducing current.

Mass Spectrometry (MS)

Volatile and semi-volatile organics, drug metabolites

~1 fg (femtogram)

Ionizes analytes and separates fragments based on mass-to-charge (m/z) ratio for identification and quantification.

Flame Photometric Detector (FPD)

Sulfur and phosphorus compounds (e.g., organophosphates)

~10 pg (Sulfur), ~1 pg (Phosphorus)

Analytes are burned in a hydrogen-rich flame, and element-specific light emission is detected.

Nitrogen-Phosphorus Detector (NPD)

Nitrogen-containing drugs, explosives, pesticides

~10 fg (femtogram)

Similar to FID, but an alkali metal bead enhances ionization of nitrogen and phosphorus compounds.

Photoionization Detector (PID)

Volatile organic compounds (VOCs), aromatics, ketones

~1 pg (picogram)

Uses UV light to ionize analytes, and the resulting ions generate an electrical signal.

Helium Ionization Detector (HID)

Permanent gases, noble gases

~500 pg (picogram)

Analytes pass through a helium plasma, ionizing and altering electrical conductivity.

Atomic Emission Detector (AED)

Element-specific detection (C, S, N, P, Cl, etc.)

~10 pg (picogram)

Uses microwave-induced plasma (MIP) to break analytes into atoms, measuring their characteristic emission spectra.


The choice of detector depends on the chemical nature of the analytes, detection limits, and required specificity. Sensitivity (ability to detect low concentrations) and selectivity (ability to distinguish specific analytes) are critical factors in selecting an appropriate detector for a given application [11-12].

8. Qualitative and Quantitative GC Methods Gas chromatography (GC) is widely used for both qualitative and quantitative analysis of volatile and semi-volatile compounds. Qualitative analysis focuses on identifying compounds, while quantitative analysis determines their concentration in a sample. The accuracy and reliability of

these methods depend on calibration strategies and data interpretation techniques.

Qualitative GC Analysis

Qualitative analysis in GC is primarily based on retention times and, when coupled with spectroscopic detection (e.g., mass spectrometry), spectral data.

  1. Retention Time Comparison: Each compound in a sample has a characteristic retention time (t?), which is compared with known reference standards under identical chromatographic conditions. Retention times can vary with column type, temperature program, and carrier gas flow, so consistency in operational conditions is essential.
  2. Spectral Identification (GC-MS): When coupled with mass spectrometry (GC-MS), compounds are identified using their unique mass-to-charge (m/z) fragmentation patterns. Spectral libraries (e.g., NIST, Wiley) are used for comparing unknown compounds with known spectra for precise identification.
  3. Kovats Retention Index (KI): This method normalizes retention times against a series of n-alkanes, making identification more reliable across different instruments and conditions.

Quantitative GC Analysis

Quantification in GC involves measuring peak areas or peak heights to determine analyte concentrations. Several calibration techniques are used:

  1. External Standard Method: Uses a calibration curve of known analyte standards to determine concentrations in unknown samples. Requires consistent injection volumes and instrument conditions. Ideal for simple matrices with minimal variability.
  2. Internal Standard (IS) Method: A known amount of an internal standard (chemically similar but non-interfering compound) is added to both standards and samples. The ratio of the analyte peak area to the IS peak area improves precision by correcting for injection variability and instrument fluctuations. Commonly used in complex samples (e.g., pharmaceuticals, biological fluids).
  3. Calibration Curve Method: Involves preparing a series of standard solutions at different concentrations and plotting peak area vs. concentration. The linear regression equation (y = mx + b) is used to interpolate unknown sample concentrations. Can be applied with external or internal standards.
  4. Standard Addition Method: Known amounts of the target analyte are added to the sample matrix to correct for matrix effects. Used when matrix interferences affect quantification, such as in food and environmental samples.

Qualitative GC methods rely on retention times, spectral data, and reference standards for compound identification, while quantitative GC methods use calibration techniques to measure analyte concentrations accurately. The choice of method depends on sample complexity, required accuracy, and the presence of potential interferences [13].

9. Applications in Drug Substance Development GC is widely used in pharmaceutical research for impurity profiling, stability testing, and quality control. The detection of volatile organic impurities and nitrosamine contaminants is crucial for regulatory compliance.

Gas chromatography (GC) plays a vital role in pharmaceutical research and development, ensuring drug safety, efficacy, and compliance with regulatory standards. It is particularly valuable for detecting and quantifying volatile organic compounds (VOCs), residual solvents, and genotoxic nitrosamine contaminants. GC is widely employed in impurity profiling, stability testing, and quality control of active pharmaceutical ingredients (APIs) and finished dosage forms.

1. Impurity Profiling

Regulatory agencies such as the ICH (International Council for Harmonisation), FDA, and EMA mandate impurity profiling in pharmaceutical substances to ensure patient safety. GC is a powerful tool for identifying and quantifying trace-level impurities, particularly volatile and semi-volatile organic compounds.

  • Residual Solvents: Many APIs are synthesized using organic solvents, which must be removed to permissible levels as per ICH Q3C guidelines. GC-FID or GC-MS is used to analyze Class 1 (toxic), Class 2 (limited-use), and Class 3 (low-risk) solvents.
  • Degradation Products: GC can detect oxidative and thermal degradation byproducts that arise during drug storage.
  • Reaction Byproducts: Side reactions during synthesis can introduce unknown impurities, which GC-MS helps identify and quantify [14-15].

2. Stability Testing

Stability studies ensure that APIs and formulations retain their chemical integrity over time. GC is used to monitor changes in drug composition under different storage conditions.

  • Forced Degradation Studies: Drugs are subjected to heat, light, and oxidative stress to evaluate impurity formation. GC identifies volatile degradation products that can compromise drug stability.
  • Shelf-Life Determination: GC quantifies impurities and ensures they remain within regulatory limits throughout the product’s lifespan [16].

3. Quality Control (QC) and Batch Release

GC is essential for routine quality control in pharmaceutical manufacturing. It ensures that raw materials, intermediates, and final drug products meet required specifications before batch release [17].

  • Purity Testing: Confirms the absence of unwanted volatile contaminants.
  • Residual Gas Analysis: GC with headspace sampling detects residual gases like ethylene oxide, commonly used in sterilization.
  • Batch-to-Batch Consistency: Ensures uniformity in production, reducing variability in API composition.

4. Detection of Nitrosamine Contaminants

Nitrosamines are highly potent genotoxic impurities that can form during drug synthesis, storage, or packaging. Regulatory agencies have set strict limits for nitrosamines, as they are classified as probable human carcinogens [18-23].

  • GC-MS and GC-MS/MS are the gold standard techniques for detecting trace-level nitrosamines (ppt–ppb levels) in pharmaceuticals.
  • Sources of Contamination:
    • Reaction of amines with nitrosating agents during drug synthesis.
    • Cross-contamination from manufacturing equipment.
    • Degradation of nitrite-containing excipients.
  • Regulatory Compliance: ICH M7 and FDA/EMA guidelines mandate sensitive and selective detection of nitrosamines, ensuring compliance with permissible exposure limits (e.g., NDMA: 96 ng/day).

Gas chromatography is indispensable in pharmaceutical research for impurity profiling, stability testing, and regulatory compliance. Its ability to detect and quantify volatile organic impurities, residual solvents, and nitrosamines ensures drug safety and quality, making it a cornerstone of modern drug substance development. [24-30]

CONCLUSION

Gas chromatography (GC) has undergone significant advancements, solidifying its role as a powerful analytical technique in pharmaceutical research. Its ability to separate, identify, and quantify volatile and semi-volatile compounds with exceptional sensitivity makes it indispensable for impurity profiling, stability testing, and regulatory compliance. The integration of advanced detection systems, including GC-MS and selective detectors, has enhanced its capability to detect trace-level contaminants such as nitrosamines, ensuring drug safety and quality control. Recent developments in column technology, stationary phases, and sample introduction techniques have further improved GC’s efficiency, resolution, and applicability. Automation and hyphenated techniques continue to expand its scope, enabling more comprehensive analysis of complex pharmaceutical matrices. While GC remains primarily suited for volatile compounds, derivatization methods and alternative detection strategies have broadened its application range. As pharmaceutical regulations become more stringent and analytical challenges evolve, ongoing innovations in GC are expected to drive improvements in sensitivity, selectivity, and operational efficiency. Future research will likely focus on enhancing miniaturization, automation, and eco-friendly methodologies, ensuring that GC continues to play a crucial role in pharmaceutical analysis and quality assurance.

REFERENCES

  1. Md. Musfiqur Rahman, A.M. Abd El-Aty, Jeong-Heui Choi, Ho-Chul Shin, Sung Chul Shin, and Jae-Han Shim (2015). Basic Overview on Gas Chromatography Columns: Analytical Separation Science, First Edition. Wiley-VCH Verlag GmbH & Co. KGaA.
  2. Gross, J. H. (2017). Mass Spectrometry: A Textbook (3rd ed.). Springer International Publishing AG, DOI 10.1007/978-3-319-54398-7_1.
  3. Deshoju Srinu, G. Sampath Kumar Reddy, B. Jainendra Kumar. (2025). Extensive Review of Gas Chromatography in Pharmaceutical Applications: Emphasizing Genotoxic Impurities, Int. J. of Pharm. Sci., Vol 3, Issue 1, 1674-1682. https://doi.org/10.5281/zenodo.14696840
  4. Blumberg, L. M. (2012). Theory of Gas Chromatography. Gas Chromatography, Elsevier publications, 19–78. doi:10.1016/b978-0-12-385540-4.00002-x
  5. Shimadzu Corporation. (2020). Basics & Fundamentals Gas Chromatography. Shimadzu, C10G-E082, First Edition: March, 2020
  6. Yang, L., Qin, M., Yang, J., Zhang, G., & Wei, J. (2020). Review on stationary phases and coating methods of MEMs gas chromatography columns. Reviews in Analytical Chemistry, 39(1), 247–259. doi:10.1515/revac-2020-0102.
  7. K. D. Wilde & W. Engewald (2014). Practical Gas Chromatography: A Comprehensive Reference. Springer.
  8. Ruby Ong, Philip Marriott, Paul Morrison, Peter Haglund. (2002). Influence of chromatographic conditions on separation in comprehensive gas chromatography. Journal of Chromatography A, 962, 135–152.
  9. Merrick, & Blumberg, L. M. (2021). Optimal heating rate in constant pressure and constant flow gas chromatography. Journal of Separation Science, 44(17), 3254–3267. Portico. https://doi.org/10.1002/jssc.202100506.
  10. Konrad Grab. (2001). Split and Splitless Injectionfor Quantitative Gas Chromatograph. Concepts, Processes, Practical Guidelines, Sources of Error. Fourth, completely revised edition, WILEY-VCH Verlag GmbH.
  11. Poole, C. F. (2005). Gas Chromatography, Detectors. Encyclopedia of Analytical Science, 95–105. doi:10.1016/b0-12-369397-7/00222-3.
  12. McMinn, D. (2000). Gas Chromatography, Detectors: General (Flame Ionization Detectors and Thermal Conductivity Detectors). Encyclopedia of Separation Science, 443–447. doi:10.1016/b0-12-226770-2/00171-x.
  13. Grob, R. L., & Barry, E. F. (2016). Modern Practice of Gas Chromatography (5th ed.). Wiley.
  14. Yolande Saab, Rebecca Zgheib, Zahi Nakad, Rony S. Khnayzer (2024). Determination of volatile impurities and ethanol content in ethanol-based hand sanitizers: Compliance and toxicity. Toxicology Reports, 13, 101709. https://doi.org/10.1016/j.toxrep.2024.101709.
  15. Waghmare A.D., Kolhe S.D., Bhoj Sakshi, Handore Prajakta, Hajare Aishwarya. (2024). The Impurity Profiling in Pharmaceuticals Analysis- A review. International Journal of Research Publication and Reviews. Vol (5), Issue (11), Page – 2957-2962.
  16. Dewulf, J., Van Langenhove, H., & Wittmann, G. (2002). Analysis of volatile organic compounds using gas chromatography. TrAC Trends in Analytical Chemistry, 21(9-10), 637–646. doi:10.1016/s0165-9936(02)00804-x.
  17. Bailey Zhaou (2024). Gas Chromatography in Pharmaceutical Analysis: Ensuring Purity and Quality of Drug Products. J Anal Bioanal Tech. Volume 15, Issue 12, 1000714.
  18. U.S. Food and Drug Administration [FDA]. Analytical Procedures and Methods Validation for Drugs and Biologics. [Internet]. 2015. Available from: https://www.fda.gov.
  19. European Medicines Agency [EMA]. Guideline on the limits of genotoxic impurities. [Internet]. 2006. Available from: https://www.ema.europa.eu.
  20. International Council for Harmonisation. ICH Q3A(R2): Impurities in new drug substances. [Internet]. 2006. Available from: https://www.ich.org.
  21. International Council for Harmonisation. ICH Q3C(R8): Impurities: Guideline for Residual Solvents. [Internet]. 2021. Available from: https://www.ich.org.
  22. International Council for Harmonisation [ICH]. ICH M7R2: Assessment and control of DNA reactive (mutagenic) impurities in pharmaceuticals to limit potential carcinogenic risk. [Internet]. 2023 . Available from: https://www.ich.org.
  23. International Council for Harmonisation. ICH guideline: ICH Q2(R2): Validation of analytical procedures: Text and methodology. European Medicines Agency. [Internet]. 2023 . Available from: https://www.ich.org.
  24. Jwaili, M. (2019) Pharmaceutical Applications of Gas Chromatography. Open Journal of Applied Sciences, 9, 683-690. https://doi.org/10.4236/ojapps.2019.9905.
  25. Yasuhiro Ozeki (2024). Gas Chromatography and its Applications in Pharmaceutical Industry. Journal of Medicinal and Organic Chemistry. J. Med. Org. Chem. 07(5), 245-246.
  26. Rocheleau, M.-J., Titley, M., & Bolduc, J. (2004). Measuring residual solvents in pharmaceutical samples using fast gas chromatography techniques. Journal of Chromatography B, 805(1), 77–86. doi:10.1016/j.jchromb.2004.02.018.
  27. Jadhav C.A. (2020). A Review on Gas Chromatography. World Journal of Pharmaceutical Research. 9 (6), 1246-1264.
  28. Yik-Ling Chew, Mei-Ann Khor, Yau-Yan Lim (2021). Choices of chromatographic methods as stability indicating assays for pharmaceutical products: A review. Heliyon 7 (2021) e06553. https://doi.org/10.1016/j.heliyon.2021.e06553
  29. Chittireddy, H.N.P.R.; Kumar, J.V.S.; Bhimireddy, A.; Shaik, M.R.; Khan, M.; Khan, M.; Oh, T.H.; Shaik, B. (2023). Development and Validation of Analytical Method Using Gas Chromatography with Triple Quadrupole Mass Spectrometry for the Detection of Alkyl Halides as Potential Genotoxic Impurities in Posaconazole. Separations, 10, 295. https://doi.org/10.3390/ separations10050295.
  30. Suleman, S., Verheust, Y., Dumoulin, A., Wynendaele, E., D’Hondt, M., Vandercruyssen, K., De Spiegeleer, B. (2015). Gas chromatographic method for the determination of lumefantrine in antimalarial finished pharmaceutical products. Journal of Food and Drug Analysis, 23(3), 552–559. doi:10.1016/j.jfda.2015.03.004.

Reference

  1. Md. Musfiqur Rahman, A.M. Abd El-Aty, Jeong-Heui Choi, Ho-Chul Shin, Sung Chul Shin, and Jae-Han Shim (2015). Basic Overview on Gas Chromatography Columns: Analytical Separation Science, First Edition. Wiley-VCH Verlag GmbH & Co. KGaA.
  2. Gross, J. H. (2017). Mass Spectrometry: A Textbook (3rd ed.). Springer International Publishing AG, DOI 10.1007/978-3-319-54398-7_1.
  3. Deshoju Srinu, G. Sampath Kumar Reddy, B. Jainendra Kumar. (2025). Extensive Review of Gas Chromatography in Pharmaceutical Applications: Emphasizing Genotoxic Impurities, Int. J. of Pharm. Sci., Vol 3, Issue 1, 1674-1682. https://doi.org/10.5281/zenodo.14696840
  4. Blumberg, L. M. (2012). Theory of Gas Chromatography. Gas Chromatography, Elsevier publications, 19–78. doi:10.1016/b978-0-12-385540-4.00002-x
  5. Shimadzu Corporation. (2020). Basics & Fundamentals Gas Chromatography. Shimadzu, C10G-E082, First Edition: March, 2020
  6. Yang, L., Qin, M., Yang, J., Zhang, G., & Wei, J. (2020). Review on stationary phases and coating methods of MEMs gas chromatography columns. Reviews in Analytical Chemistry, 39(1), 247–259. doi:10.1515/revac-2020-0102.
  7. K. D. Wilde & W. Engewald (2014). Practical Gas Chromatography: A Comprehensive Reference. Springer.
  8. Ruby Ong, Philip Marriott, Paul Morrison, Peter Haglund. (2002). Influence of chromatographic conditions on separation in comprehensive gas chromatography. Journal of Chromatography A, 962, 135–152.
  9. Merrick, & Blumberg, L. M. (2021). Optimal heating rate in constant pressure and constant flow gas chromatography. Journal of Separation Science, 44(17), 3254–3267. Portico. https://doi.org/10.1002/jssc.202100506.
  10. Konrad Grab. (2001). Split and Splitless Injectionfor Quantitative Gas Chromatograph. Concepts, Processes, Practical Guidelines, Sources of Error. Fourth, completely revised edition, WILEY-VCH Verlag GmbH.
  11. Poole, C. F. (2005). Gas Chromatography, Detectors. Encyclopedia of Analytical Science, 95–105. doi:10.1016/b0-12-369397-7/00222-3.
  12. McMinn, D. (2000). Gas Chromatography, Detectors: General (Flame Ionization Detectors and Thermal Conductivity Detectors). Encyclopedia of Separation Science, 443–447. doi:10.1016/b0-12-226770-2/00171-x.
  13. Grob, R. L., & Barry, E. F. (2016). Modern Practice of Gas Chromatography (5th ed.). Wiley.
  14. Yolande Saab, Rebecca Zgheib, Zahi Nakad, Rony S. Khnayzer (2024). Determination of volatile impurities and ethanol content in ethanol-based hand sanitizers: Compliance and toxicity. Toxicology Reports, 13, 101709. https://doi.org/10.1016/j.toxrep.2024.101709.
  15. Waghmare A.D., Kolhe S.D., Bhoj Sakshi, Handore Prajakta, Hajare Aishwarya. (2024). The Impurity Profiling in Pharmaceuticals Analysis- A review. International Journal of Research Publication and Reviews. Vol (5), Issue (11), Page – 2957-2962.
  16. Dewulf, J., Van Langenhove, H., & Wittmann, G. (2002). Analysis of volatile organic compounds using gas chromatography. TrAC Trends in Analytical Chemistry, 21(9-10), 637–646. doi:10.1016/s0165-9936(02)00804-x.
  17. Bailey Zhaou (2024). Gas Chromatography in Pharmaceutical Analysis: Ensuring Purity and Quality of Drug Products. J Anal Bioanal Tech. Volume 15, Issue 12, 1000714.
  18. U.S. Food and Drug Administration [FDA]. Analytical Procedures and Methods Validation for Drugs and Biologics. [Internet]. 2015. Available from: https://www.fda.gov.
  19. European Medicines Agency [EMA]. Guideline on the limits of genotoxic impurities. [Internet]. 2006. Available from: https://www.ema.europa.eu.
  20. International Council for Harmonisation. ICH Q3A(R2): Impurities in new drug substances. [Internet]. 2006. Available from: https://www.ich.org.
  21. International Council for Harmonisation. ICH Q3C(R8): Impurities: Guideline for Residual Solvents. [Internet]. 2021. Available from: https://www.ich.org.
  22. International Council for Harmonisation [ICH]. ICH M7R2: Assessment and control of DNA reactive (mutagenic) impurities in pharmaceuticals to limit potential carcinogenic risk. [Internet]. 2023 . Available from: https://www.ich.org.
  23. International Council for Harmonisation. ICH guideline: ICH Q2(R2): Validation of analytical procedures: Text and methodology. European Medicines Agency. [Internet]. 2023 . Available from: https://www.ich.org.
  24. Jwaili, M. (2019) Pharmaceutical Applications of Gas Chromatography. Open Journal of Applied Sciences, 9, 683-690. https://doi.org/10.4236/ojapps.2019.9905.
  25. Yasuhiro Ozeki (2024). Gas Chromatography and its Applications in Pharmaceutical Industry. Journal of Medicinal and Organic Chemistry. J. Med. Org. Chem. 07(5), 245-246.
  26. Rocheleau, M.-J., Titley, M., & Bolduc, J. (2004). Measuring residual solvents in pharmaceutical samples using fast gas chromatography techniques. Journal of Chromatography B, 805(1), 77–86. doi:10.1016/j.jchromb.2004.02.018.
  27. Jadhav C.A. (2020). A Review on Gas Chromatography. World Journal of Pharmaceutical Research. 9 (6), 1246-1264.
  28. Yik-Ling Chew, Mei-Ann Khor, Yau-Yan Lim (2021). Choices of chromatographic methods as stability indicating assays for pharmaceutical products: A review. Heliyon 7 (2021) e06553. https://doi.org/10.1016/j.heliyon.2021.e06553
  29. Chittireddy, H.N.P.R.; Kumar, J.V.S.; Bhimireddy, A.; Shaik, M.R.; Khan, M.; Khan, M.; Oh, T.H.; Shaik, B. (2023). Development and Validation of Analytical Method Using Gas Chromatography with Triple Quadrupole Mass Spectrometry for the Detection of Alkyl Halides as Potential Genotoxic Impurities in Posaconazole. Separations, 10, 295. https://doi.org/10.3390/ separations10050295.
  30. Suleman, S., Verheust, Y., Dumoulin, A., Wynendaele, E., D’Hondt, M., Vandercruyssen, K., De Spiegeleer, B. (2015). Gas chromatographic method for the determination of lumefantrine in antimalarial finished pharmaceutical products. Journal of Food and Drug Analysis, 23(3), 552–559. doi:10.1016/j.jfda.2015.03.004.

Photo
Deshoju Srinu
Corresponding author

Department of Chemistry, Anurag University, Hyderabad, India.

Photo
B. Jainendra Kumar
Co-author

Department of Chemistry, Anurag University, Hyderabad, India.

Deshoju Srinu*, B. Jainendra Kumar, A Review on Gas Chromatography: Techniques, Methodologies, and Applications-Implications to Pharmaceutical Research, Int. J. of Pharm. Sci., 2025, Vol 3, Issue 2, 837-848. https://doi.org/10.5281/zenodo.14857270

More related articles
An Effective Quantitative Gas Chromatography-Head ...
Radharavi K , P.D. Gokulana, K. L. Senthil Kumara, R. Ramyaa, M. ...
Optimized RP-HPLC Method Development For Precise E...
Ram S Sakhare, Moein S Attar, Pallavi N Bansode, Vijayendra Swamy...
A Comprehensive Review of Comparative Effectivenes...
Dr. Hinal Panchal, Mayank Trivedi, ...
Method Development and Validation for The Simultaneous Estimation of Pioglitazon...
Dr PV Madhavi Latha , Dr B. NAGAMANI, Dr P. Umadevi, A.Umasai chaitnya, Pyla Sivalalitha , ...
Extensive Review of Gas Chromatography in Pharmaceutical Applications: Emphasizi...
Deshoju Srinu, G. Sampath Kumar Reddy, B. Jainendra Kumar, ...
UPLC-MS Method Development and Validation for Fluticasone Propionate: A Comprehe...
Vishweshwari Bhagat, Monali Khatake, Mansi Shelke, Tanvi Kambale, Nikita Pabale, Dnyaneshwari Kurhe...
Related Articles
Advancement In Carbon Nanotubes And Its Applications In Pharmaceutical Science...
Sandhya Jaiswal, Samiksha sahu, Sourabh Gupta, Sagar chandrakar, Ashwani Tanwar, Shruti Rathore, ...
A Review On Analytical And Clinical Applications Of Anti Sense Oligonucleotides ...
DR SHAIK MASTANAMMA, Md.Naseemunnisa, Telugu.Kalavathi, ...
An Effective Quantitative Gas Chromatography-Head Space Method Development And V...
Radharavi K , P.D. Gokulana, K. L. Senthil Kumara, R. Ramyaa, M. Karthik, ...
More related articles
An Effective Quantitative Gas Chromatography-Head Space Method Development And V...
Radharavi K , P.D. Gokulana, K. L. Senthil Kumara, R. Ramyaa, M. Karthik, ...
Optimized RP-HPLC Method Development For Precise Estimation Of Favipiravir: A Qu...
Ram S Sakhare, Moein S Attar, Pallavi N Bansode, Vijayendra Swamy S M, Sandeep R Suryawanshi, ...
An Effective Quantitative Gas Chromatography-Head Space Method Development And V...
Radharavi K , P.D. Gokulana, K. L. Senthil Kumara, R. Ramyaa, M. Karthik, ...
Optimized RP-HPLC Method Development For Precise Estimation Of Favipiravir: A Qu...
Ram S Sakhare, Moein S Attar, Pallavi N Bansode, Vijayendra Swamy S M, Sandeep R Suryawanshi, ...