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Research article · 2025 · Full text

International Journal of Advanced Chemistry Research

Solid-phase microextraction coupled with GC-MS for analysis of volatile organic compounds

Sang LeeJi-Hye ChoiJi-Hye Seo

Volume 7(10) · Pages 136–139 · DOI: 10.33545/26646781.2025.v7.i10b.487 ↗

Research areasAnalytical chemistry methods developmentEnvironmental and Analytical Chemistry StudiesAnalytical Chemistry and Chromatography

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Abstract

Author-written

What role does sample preparation play in trace-level volatile organic compound (VOC) detection? Solid-phase microextraction (SPME) is a solvent-free approach that overcomes many drawbacks of traditional extraction methods. This research coupled SPME with gas chromatography-mass spectrometry (GC-MS) to quantify eight priority VOCs in environmental water from industrial zones near Busan, South Korea. A DVB/CAR/PDMS fiber was selected after screening three coatings under headspace conditions. Extraction parameters—temperature, time, ionic strength, and pH—were optimized through a Box-Behnken design. The optimized protocol (45°C, 30 min, 20% NaCl, pH 4) delivered detection limits of 0.03–0.18 µg/L and linearity across 0.1–100 µg/L (R² > 0.998). Recoveries from spiked river water ranged between 85.4% and 97.8% with RSDs below 5.1%. Application to real samples identified toluene (2.3–8.7 µg/L) and xylene (1.9–5.4 µg/L) as the most frequent contaminants. These findings confirm SPME-GC-MS as a practical, sensitive technique for routine VOC monitoring in aquatic environments.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Volatile organic compounds (VOCs), including BTEX and chlorinated solvents, are persistent pollutants in industrial water sources and pose health risks even at very low concentrations. View evidence ↗

      Why it matters

      Volatile organic compounds (VOCs), including BTEX and chlorinated solvents, are persistent pollutants in industrial water sources and pose health risks even at very low concentrations.

      In the paper's own words

      “Volatile organic compounds remain among the most persistent pollutants in surface water and groundwater near industrial corridors [1]. BTEX compounds and chlorinated solvents pose documented health risks even at sub-microgram-per-litre concentrations [2].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Traditional extraction methods for VOCs are often expensive and require large amounts of organic solvents. View evidence ↗

      Why it matters

      Traditional extraction methods for VOCs are often expensive and require large amounts of organic solvents.

      In the paper's own words

      “Conventional purge-and-trap and liquid-liquid extraction approaches, while effective, demand costly apparatus and significant solvent use [3].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Solid-phase microextraction (SPME) is a solvent-free alternative that combines sampling, extraction, and concentration into a single process. View evidence ↗

      Why it matters

      Solid-phase microextraction (SPME) is a solvent-free alternative that combines sampling, extraction, and concentration into a single process.

      In the paper's own words

      “Solid-phase microextraction, introduced by Pawliszyn and co-workers in the early 1990s, integrates sampling, extraction, and concentration into one solvent-free device [4].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. What they did

    • The researchers collected 54 grab samples from three industrial discharge points along the Nakdong River basin over three seasonal campaigns. View evidence ↗

      What they did

      The researchers collected 54 grab samples from three industrial discharge points along the Nakdong River basin over three seasonal campaigns.

      In the paper's own words

      “Water samples were collected from three industrial discharge points along the Nakdong River basin in pre-cleaned 40 mL amber glass vials with PTFE-lined septum caps, transported on ice within four hours. A total of 54 grab samples were obtained across three seasonal campaigns.”

      Page 2

      Found in: Material

      Read it in the full textOpen PDF at page 2 ↗
    • Three different SPME fiber coatings were tested: 100 µm PDMS, 85 µm PA, and 50/30 µm DVB/CAR/PDMS. View evidence ↗

      What they did

      Three different SPME fiber coatings were tested: 100 µm PDMS, 85 µm PA, and 50/30 µm DVB/CAR/PDMS.

      In the paper's own words

      “Three SPME fiber assemblies were evaluated: 100 µm PDMS, 85 µm PA, and 50/30 µm DVB/CAR/PDMS (Supelco).”

      Page 2

      Found in: Reagents and Chemicals

      Read it in the full textOpen PDF at page 2 ↗
    • The analysis was performed using an Agilent 7890B GC coupled to a 5977A MSD with a DB-5MS column. View evidence ↗

      What they did

      The analysis was performed using an Agilent 7890B GC coupled to a 5977A MSD with a DB-5MS column.

      In the paper's own words

      “Analyses used an Agilent 7890B GC coupled to a 5977A MSD (Agilent Technologies, Santa Clara, CA, USA) with a DB-5MS column (30 m × 0.25 mm, 0.25 µm film).”

      Page 2

      Found in: Instrumentation

      Read it in the full textOpen PDF at page 2 ↗
  3. What they found

    • The DVB/CAR/PDMS fiber was the most effective, providing a higher total peak area than PDMS (by 38%) and PA (by 52%) at 10 µg/L. View evidence ↗

      What they found

      The DVB/CAR/PDMS fiber was the most effective, providing a higher total peak area than PDMS (by 38%) and PA (by 52%) at 10 µg/L.

      In the paper's own words

      “Comparison of three fibers at 10 µg/L under identical headspace conditions (40°C, 20 min) showed DVB/CAR/PDMS yielded the highest total peak area, outperforming PDMS by 38% and PA by 52%.”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • The optimized extraction conditions were determined to be 45°C, 30 minutes, 20% NaCl, and pH 4, with experimental results within 4.2% of the model's prediction. View evidence ↗

      What they found

      The optimized extraction conditions were determined to be 45°C, 30 minutes, 20% NaCl, and pH 4, with experimental results within 4.2% of the model's prediction.

      In the paper's own words

      “The predicted optimum (Table 1) was experimentally verified with observed response within 4.2% of prediction.”

      Page 2

      “Parameter | Low (−1) | Centre (0) | High (+1) | Optimum Temperature (°C) | 35 | 45 | 55 | 45 Time (min) | 15 | 30 | 45 | 30 NaCl (% w/v) | 0 | 15 | 30 | 20 pH | 2 | 6 | 10 | 4”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • The method achieved detection limits between 0.03 µg/L for toluene and 0.18 µg/L for naphthalene, with strong linearity across the tested ranges. View evidence ↗

      What they found

      The method achieved detection limits between 0.03 µg/L for toluene and 0.18 µg/L for naphthalene, with strong linearity across the tested ranges.

      In the paper's own words

      “Detection limits ranged from 0.03 µg/L (toluene) to 0.18 µg/L (naphthalene).”

      Page 2

      “Calibration curves displayed strong linearity across tested ranges (Table 2).”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • The method demonstrated high accuracy and precision, with recoveries between 85.4% and 97.8% and intra-day precision below 5.1% RSD. View evidence ↗

      What they found

      The method demonstrated high accuracy and precision, with recoveries between 85.4% and 97.8% and intra-day precision below 5.1% RSD.

      In the paper's own words

      “Recovery experiments at three concentration levels returned values between 85.4% and 97.8%, with intra-day precision below 5.1% RSD (Figure 2).”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • Analysis of real water samples identified toluene (2.3–8.7 µg/L) and xylene (1.9–5.4 µg/L) as the most frequent contaminants, with benzene detected at one site (1.1 µg/L). View evidence ↗

      What they found

      Analysis of real water samples identified toluene (2.3–8.7 µg/L) and xylene (1.9–5.4 µg/L) as the most frequent contaminants, with benzene detected at one site (1.1 µg/L).

      In the paper's own words

      “Real-sample analysis detected toluene at all three sites (2.3– 8.7 µg/L) and xylene at two sites (1.9–5.4 µg/L). Benzene was found at one location at 1.1 µg/L.”

      Page 3

      Found in: Comprehensive Interpretation

      Read it in the full textOpen PDF at page 3 ↗
  4. What it means

    • The authors conclude that the SPME-GC-MS method is practical for routine monitoring due to its low solvent use, simplicity, and a throughput of about 12 samples per analyst-day. View evidence ↗

      What it means

      The authors conclude that the SPME-GC-MS method is practical for routine monitoring due to its low solvent use, simplicity, and a throughput of about 12 samples per analyst-day.

      In the paper's own words

      “The method's minimal solvent use, simple apparatus, and throughput of approximately 12 samples per analyst-day make it practical for routine monitoring.”

      Page 4

      Found in: Introduction

      Read it in the full textOpen PDF at page 4 ↗
    • The authors suggest that future research should include halogenated ethers in the analyte list and investigate automated SPME to increase throughput. View evidence ↗

      What it means

      The authors suggest that future research should include halogenated ethers in the analyte list and investigate automated SPME to increase throughput.

      In the paper's own words

      “Future work should extend the analyte list to halogenated ethers and explore automated SPME for higher throughput.”

      Page 4

      Found in: Introduction

      Read it in the full textOpen PDF at page 4 ↗

Visual summary

2 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

Replotted from source data
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
MDL (µg/L): Benzene vs Toluene vs Ethylbenzene vs Xylene vs Styrene
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

MDL (µg/L): Benzene vs Toluene vs Ethylbenzene vs Xylene vs Styrene

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Recovery (%): Benzene vs Toluene vs Ethylbenzene vs Xylene vs Styrene
Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Recovery (%): Benzene vs Toluene vs Ethylbenzene vs Xylene vs Styrene

Replotted from Table 2 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Optimized SPME extraction parameters from Box-Table 1Page 2Analytical performance of the SPME-GC-MS method for eight target VOCsTable 2Page 2Schematic flowchart of the SPME-GC-MS analytical workflow for VOC determinationFigure 1Page 3Mean recovery rates (%) and RSDs for eight target VOCs at 10 µg/L spike level (n = 6)Figure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

How can environmental monitoring keep pace with rising industrial contamination while relying on methods that consume large volumes of organic solvents? Volatile organic compounds remain among the most persistent pollutants in surface water and groundwater near industrial corridors [1] . BTEX compounds and chlorinated solvents pose documented health risks even at sub-microgram-per-litre concentrations [2] . Conventional purge-and-trap and liquid-liquid extraction approaches, while effective, demand costly apparatus and significant solvent use [3] . Solid-phase microextraction, introduced by Pawliszyn and co-workers in the early 1990s, integrates sampling, extraction, and concentration into one solvent-free device [4] . An SPME fiber coated with a polymeric sorbent is exposed to the sample headspace; analytes partition into the coating, and the fiber is transferred to a GC injector for thermal desorption [5] . The technique's small footprint and low cost per analysis have driven its adoption across food safety, clinical toxicology, and environmental chemistry [6] . Despite these advantages, SPME performance depends heavily on fiber chemistry, extraction mode, and experimental variables-temperature, time, pH, and salt concentration chief among them [7] . Mixed-phase coatings such as DVB/CAR/PDMS show broader analyte coverage, but their optimal window can differ by sample matrix [8] . Statistical designs like Box-Behnken allow simultaneous evaluation of several factors with fewer runs than full factorial experiments [9] . GC-MS remains the preferred detection platform for VOC work, providing both separation power and spectral confirmation at trace levels [10] . Yet few publications have reported a fully optimized SPME-GC-MS workflow validated against real industrial discharge samples in the South Korean context [11] . This research aimed to (i) compare three commercial SPME fibers for headspace extraction of eight target VOCs, (ii) optimize extraction parameters through Box-Behnken design, (iii) validate the method for linearity, detection limits, accuracy, and precision, and (iv) apply the protocol to water samples from industrial zones in Busan.

Material and Methods

Material and Methods

Material

The research was conducted between March and November 2024 at the Department of Analytical Chemistry, Baekdu Institute of Technology, Busan, South Korea. Water samples were collected from three industrial discharge points along the Nakdong River basin in pre-cleaned 40 mL amber glass vials with PTFE-lined septum caps, transported on ice within four hours. A total of 54 grab samples were obtained across three seasonal campaigns. Analytical-grade BTEX standards, styrene, naphthalene, chlorobenzene, and dichloromethane reference materials (purity ≥ 99.5%) were obtained from Supelco (Bellefonte, PA, USA). Stock solutions (1000 mg/L) in methanol were stored at -20°C; working standards were freshly diluted in ultrapure water (18.2 MΩ•cm).

Reagents and Chemicals

Three SPME fiber assemblies were evaluated: 100 µm PDMS, 85 µm PA, and 50/30 µm DVB/CAR/PDMS (Supelco). Each fiber was conditioned per manufacturer instructions before first use. A manual SPME holder (Supelco 57330-U) was used throughout. Internal standard (fluorobenzene, 99.8%, Fluka Analytical) was spiked at 10 µg/L into every sample and calibration level.

Methods

Headspace SPME was performed in 20 mL crimp-top vials containing 10 mL of conditioned sample. Vials were equilibrated 5 min in a thermostatted bath before fiber exposure. After extraction, the fiber was inserted into the GC injector at 250°C for 3 min (splitless mode). A Box-Behnken design with four factors at three levels generated 27 runs plus three centre-point replicates. Total peak area for all eight analytes served as the response variable.

Optimal conditions were validated by six replicate extractions at three spike levels (1, 10, 50 µg/L).

Instrumentation

Analyses used an Agilent 7890B GC coupled to a 5977A MSD (Agilent Technologies, Santa Clara, CA, USA) with a DB-5MS column (30 m × 0.25 mm, 0.25 µm film). Oven programme: 40°C (2 min hold), 8°C/min to 150°C, 15°C/min to 280°C (3 min hold). Helium carrier gas at 1.2 mL/min. MS operated in EI mode (70 eV); quantification used SIM mode with two ions per compound. Identification was confirmed against the NIST 20 library.

Quality Control

Method blanks were analysed every ten samples; none exceeded detection limits. Laboratory fortified blanks at 10 µg/L returned 91-103% recovery. A mid-level check standard was injected every 12 samples; drift exceeding 15% triggered recalibration. Carry-over blanks after the highest calibration showed no residual peaks. Field duplicates had relative percent differences below 12%.

Results

Comparison of three fibers at 10 µg/L under identical headspace conditions (40°C, 20 min) showed DVB/CAR/PDMS yielded the highest total peak area, outperforming PDMS by 38% and PA by 52%. PDMS showed acceptable response for non-polar hydrocarbons but poor sensitivity toward chlorinated species. Based on these screening results, DVB/CAR/PDMS was selected for all subsequent work. The Box-Behnken model was statistically significant (F = 14.73, p < 0.001, adjusted R² = 0.891). Temperature and NaCl concentration were the most influential main effects, while the temperature × time interaction was the only significant cross-term (p = 0.017). The predicted optimum (Table 1) was experimentally verified with observed response within 4.2% of prediction. Calibration curves displayed strong linearity across tested ranges (Table 2). Detection limits ranged from 0.03 µg/L (toluene) to 0.18 µg/L (naphthalene). Recovery experiments at three concentration levels returned values between 85.4% and 97.8%, with intra-day precision below 5.1% RSD (Figure 2).

Figure 2. Mean recovery rates (%) and RSDs for eight target VOCs at 10 µg/L spike level (n = 6)
Mean recovery rates (%) and RSDs for eight target VOCs at 10 µg/L spike level (n = 6)↗ Enlarge
Figure 2
Mean recovery rates (%) and RSDs for eight target VOCs at 10 µg/L spike level (n = 6)

Mean recovery rates (%) and RSDs for eight target VOCs at 10 µg/L spike level (n = 6)

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Table 2. Analytical performance of the SPME-GC-MS method for eight target VOCs
CompoundMDL (µg/L)Linear rangeR²Recovery (%)RSD (%)SIM ions (m/z)
Benzene0.050.1–1000.999394.33.278, 77
Toluene0.030.1–1000.999897.82.191, 92
Ethylbenzene0.080.1–1000.998791.64.591, 106
Xylene0.060.1–1000.999196.22.891, 106
Styrene0.120.5–1000.998488.75.1104, 78
Naphthalene0.180.5–1000.998185.44.8128, 127
Chlorobenzene0.070.1–1000.998992.13.7112, 77
Dichloromethane0.150.5–1000.998389.54.384, 49

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Analytical performance of the SPME-GC-MS method for eight target VOCs↗ Enlarge
Table 2
Analytical performance of the SPME-GC-MS method for eight target VOCs

Analytical performance of the SPME-GC-MS method for eight target VOCs

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗
Table 1. Optimized SPME extraction parameters from Box-
ParameterLow (−1)Centre (0)High (+1)Optimum
Temperature (°C)35455545
Time (min)15304530
NaCl (% w/v)0153020
pH26104

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Optimized SPME extraction parameters from Box-↗ Enlarge
Table 1
Optimized SPME extraction parameters from Box-

Optimized SPME extraction parameters from Box-

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗

Comprehensive Interpretation

Real-sample analysis detected toluene at all three sites (2.3-8.7 µg/L) and xylene at two sites (1.9-5.4 µg/L). Benzene was found at one location at 1.1 µg/L. Chlorobenzene, dichloromethane, and naphthalene appeared sporadically at sub-µg/L levels, while styrene and ethylbenzene remained below detection limits at all sites.

Discussion

The DVB/CAR/PDMS fiber's superiority aligns with reports by Risticevic et al. [7] and Spietelun et al. [13] , who noted mixed-phase coatings accommodate a wider polarity range than single-phase alternatives. Our finding that temperature and salt concentration exerted the strongest effects confirms the thermodynamic expectation: moderate heating increases analyte vapour pressure, while ionic strength reduces aqueous solubility, shifting equilibrium toward the fiber [5] . Detection limits (0.03-0.18 µg/L) compare favourably with purge-and-trap methods, where MDLs fall between 0.01 and 0.10 µg/L but at greater instrument complexity [3] . The marginally higher MDLs for naphthalene and dichloromethane likely reflect their low volatility and high diffusivity, which reduce enrichment on the sorbent [8] .

Recoveries of 85-98% in spiked river water confirm that matrix effects didn't critically suppress extraction. The internal standard corrected residual variability from fiber aging and desorption fluctuations [14] . Application to real samples revealed toluene and xylene as dominant VOCs near discharge points, consistent with their widespread solvent use in petrochemical and coating operations in the Busan industrial complex [12] . The absence of ethylbenzene and styrene above detection limits may reflect effective emission controls or dilution during the high-flow autumn sampling period. Continued seasonal monitoring would clarify whether concentrations follow temporal trends tied to production schedules or hydrology.

Conclusion

Conclusion

Acknowledgement

Acknowledgements

Figures and tables from the paper

Figure 1. Schematic flowchart of the SPME-GC-MS analytical workflow for VOC determination
Schematic flowchart of the SPME-GC-MS analytical workflow for VOC determination↗ Enlarge
Figure 1
Schematic flowchart of the SPME-GC-MS analytical workflow for VOC determination

Schematic flowchart of the SPME-GC-MS analytical workflow for VOC determination

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

References

15 in the original paper
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