In GC analysis, readily vaporizable components are separated by a column, and components are identified and quantified based on retention time and peak area.
It is an instrumental analysis method commonly used for the analysis of organic solvents, fragrance components, reaction products, volatile components, mixed samples, and similar substances.
In gas chromatography, the positions and sizes of peaks appearing on a chromatogram are read to discuss which components are present in the sample and in what amounts.
In a discussion of GC analysis, it is not sufficient simply to write that “a peak appeared,” “the retention time matched,” or “the peak area was large.”
It is necessary to explain what retention time means, why retention times differ among components, how peak area can be used for quantitation, and what kinds of errors occur when separation is insufficient.
This article clearly explains, as examples of discussions that can be used in GC analysis laboratory reports, the concepts of retention time, peak area, and quantitation, calibration curves, the internal-standard method, peak separation, sources of error, and points for improvement.
Note:
This article is a reference intended to assist with discussions of GC analysis results obtained in instrumental-analysis experiments, analytical-chemistry experiments, and organic-chemistry experiments at universities and similar institutions.
For the actual instrument conditions, column, detector, carrier gas, temperature conditions, injection conditions, standard solutions, calibration curves, handling of internal standards, and safety precautions, always follow the instructions in your university’s laboratory manual and those given by your instructor or TA.
- What Is GC Analysis?
- Main Items to Include in the Results
- Reference Experimental Values and Quantitative Calculation Examples for GC Analysis
- Reference Experimental Conditions
- GC Measurement Results for a Standard Mixture
- Example of Component Identification Using Retention Time
- Area Percentage From Peak Area
- When Correcting Detection Sensitivity
- Calibration Curve for Ethanol Standard Solutions
- Example Calculation of Ethanol Concentration in an Unknown Sample
- Example Calculation Including Dilution Factor
- Example of Quantitation Using the Internal-Standard Method
- Example Calculation of Resolution
- Comparison of Resolution Between Peaks
- Changes in Retention Time With Column Temperature
- Changes in Peak Area With Injection Volume
- Examples of Abnormal Peak Shapes
- Example of Measurement Outside the Calibration-Curve Range
- Example of Confirming Reproducibility
- Example of How to Write the Results
- Points for Connecting the Results to the Discussion
- Example Discussion
- Summary
- How to Read a Chromatogram
- What Is Retention Time?
- Causes of Changes in Retention Time
- What Is Peak Area?
- Difference Between Peak Height and Peak Area
- How to Think About Retention Time and Component Identification
- How to Think About Peak Area and Quantitation
- Discussion of the Calibration Curve
- Discussion of the External-Standard Method
- Discussion of the Internal-Standard Method
- Discussion of the Area-Percentage Method
- Discussion of Peak Separation
- Discussion of Resolution
- Discussion When Peaks Overlap
- Discussion When Peaks Are Broad
- Discussion When Peaks Tail
- Discussion When Peaks Broaden Toward the Front
- Effect of Column Temperature
- Effect of Carrier-Gas Flow Rate
- Interaction Between the Stationary Phase and Components
- Relationship Between Boiling Point and Retention Time
- Effect of Injection Volume
- Effect of Split Ratio
- Discussion of Detector Response
- Discussion of GC-FID
- Difference From GC-MS
- Causes of Quantitative Values Being Too High
- Causes of Quantitative Values Being Too Low
- Discussion of the Baseline
- Discussion of Noise
- Importance of Standard Substances
- Errors Caused by Sample Preparation
- Discussion of Decomposition and Adsorption at the Inlet
- When GC Analysis Can Be Judged to Have Given Good Results
- Example Discussion When the Experiment Did Not Go Well
- How to Write Points for Improvement
- Difference Between a Superficial Discussion and a Good Discussion
- Examples of Expressions That Can Be Used in Reports
- Points to Check When Discussing GC Analysis
- Summary
What Is GC Analysis?
GC analysis is an analytical method that uses gas chromatography to separate and detect volatile components in a mixture.
The sample is vaporized at the inlet and carried into the column by a carrier gas.
Because each component moves through the column with a different degree of ease, the time required to reach the detector differs, and the components appear as separate peaks on the chromatogram.
In GC analysis, the time at which a peak appears is treated as the retention time, while the size of the peak is treated as the peak area or peak height.
Retention time is often used to identify components, while peak area is used to quantify the amount of a component.
However, accurate identification and quantitation require comparison with standard substances, calibration curves, internal standards, and confirmation of the state of separation.
Example Discussion:
In GC analysis, components in the sample move through the column at different rates and are therefore detected as peaks with different retention times.
Because multiple peaks were observed in this experiment, the sample was considered to contain multiple volatile components.
Components can be estimated by comparing retention times with those of standard substances, and the amount of each component can be evaluated using peak area.
Main Items to Include in the Results
In GC analysis results, organize the sample name, standard substances, column conditions, temperature conditions, carrier gas, detector, retention time, peak area, peak height, separation state, calibration curve, quantitative values, and other information.
Because retention time and peak shape in GC change depending on measurement conditions, it is important to clearly state the instrument conditions.
Main Items to Include in the Results
- Sample name
- Analyte
- Standard substance
- Internal-standard substance
- Column used
- Type of stationary phase
- Carrier gas
- Flow rate
- Inlet temperature
- Column temperature
- Temperature-program conditions
- Type of detector
- Injection volume
- Split ratio
- Retention time
- Peak area
- Peak height
- State of peak separation
- Calibration-curve equation
- Correlation coefficient
- Quantitative value of the unknown sample
- Sources of error and points for improvement
Example of How to Write the Results:
The standard substances and unknown sample were measured under the same GC conditions, and the retention times and peak areas were read from the obtained chromatograms.
When the retention times of peaks in the unknown sample were compared with those of the standard substances, they showed retention times close to those of the target components.
In addition, the concentration of the target component in the unknown sample was determined by substituting the peak area into the calibration curve.
Reference Experimental Values and Quantitative Calculation Examples for GC Analysis
Here, the process of identifying and quantifying components in a mixed sample using retention time, peak area, area percentage, and calibration curves obtained by gas chromatography (GC) is organized using reference experimental values.
In GC, volatile components are separated in a column and recorded as peaks by a detector.
Retention time provides a clue for component identification, while peak area provides an approximate indication of the amount of a component.
However, because detector sensitivity differs among components, accurate quantitation uses calibration curves prepared from standard solutions or the internal-standard method.
Reference Experimental Conditions
| Item | Details |
|---|---|
| Measurement target | Mixed sample containing ethanol, acetone, ethyl acetate, and toluene |
| Analytical method | Gas chromatography |
| Detector | FID |
| Column | Capillary column |
| Carrier gas | Helium |
| Injection volume | 1.0 μL |
| Evaluation items | Retention time, peak area, area percentage, calibration curve, unknown-sample concentration, resolution, sources of error |
GC Measurement Results for a Standard Mixture
A reference example is shown for measurement of a standard mixture containing ethanol, acetone, ethyl acetate, and toluene.
| Peak | Estimated Component | Retention Time | Peak Width | Peak Area | How to Interpret the Result |
|---|---|---|---|---|---|
| 1 | Ethanol | 1.25 min | 0.10 min | 185000 | Elutes first |
| 2 | Acetone | 1.80 min | 0.11 min | 260000 | Readily volatile component |
| 3 | Ethyl acetate | 2.65 min | 0.14 min | 315000 | Moderate retention |
| 4 | Toluene | 4.40 min | 0.18 min | 240000 | Elutes last |
If the retention time of a standard substance measured under the same conditions is close to the peak retention time of an unknown sample, that component may be present.
However, because retention time changes depending on temperature conditions and column condition, comparison with standard substances is important.
Example of Component Identification Using Retention Time
| Unknown Peak | Retention Time | Retention Time of Standard Substance | Estimated Component | Guide for Judgment |
|---|---|---|---|---|
| Peak A | 1.26 min | Ethanol 1.25 min | Ethanol | Almost identical |
| Peak B | 1.82 min | Acetone 1.80 min | Acetone | Almost identical |
| Peak C | 2.66 min | Ethyl acetate 2.65 min | Ethyl acetate | Almost identical |
| Peak D | 4.38 min | Toluene 4.40 min | Toluene | Almost identical |
Similar retention times provide evidence for component identification, but another component may show a similar retention time.
In important analyses, confirmation is performed using standard addition, GC-MS, or similar methods.
Area Percentage From Peak Area
The relative amounts of components in a mixed sample can be determined from the peak areas of the GC chromatogram.
Here, the calculation is performed as a simple area percentage without correction for differences in detection sensitivity.
| Component | Peak Area | Area Percentage | How to Interpret the Result |
|---|---|---|---|
| Ethanol | 185000 | 18.5% | Relatively small |
| Acetone | 260000 | 26.0% | Moderate |
| Ethyl acetate | 315000 | 31.5% | Largest peak |
| Toluene | 240000 | 24.0% | Moderate |
| Total | 1000000 | 100.0% | – |
The area percentage is calculated using the following equation.
Area percentage (%) = Peak area of each component ÷ Total peak area × 100
If the peak area of ethyl acetate is 315000 and the total peak area is 1000000,
Area percentage = 315000 ÷ 1000000 × 100 = 31.5%
From this result, ethyl acetate can be said to have been detected as the largest component in terms of peak area.
When Correcting Detection Sensitivity
FID responds to many organic compounds, but the sensitivity is not necessarily exactly the same for every component.
Using correction factors may bring the calculated composition closer to the actual composition than simple area percentages.
| Component | Peak Area | Correction Factor | Corrected Area | Corrected Percentage |
|---|---|---|---|---|
| Ethanol | 185000 | 1.10 | 203500 | 19.8% |
| Acetone | 260000 | 1.05 | 273000 | 26.5% |
| Ethyl acetate | 315000 | 1.00 | 315000 | 30.6% |
| Toluene | 240000 | 0.98 | 235200 | 22.9% |
| Total | – | – | 1026700 | 99.8% |
The corrected percentage is calculated by dividing the corrected area by the total corrected area.
If detector response differs among components, performing this type of correction improves the reliability of quantitation.
Calibration Curve for Ethanol Standard Solutions
A reference example is shown in which ethanol standard solutions at multiple concentrations were measured and the relationship between concentration and peak area was examined.
| Standard Solution | Ethanol Concentration | Retention Time | Peak Area |
|---|---|---|---|
| Standard 1 | 0.10% | 1.25 min | 37000 |
| Standard 2 | 0.20% | 1.25 min | 74000 |
| Standard 3 | 0.50% | 1.26 min | 185000 |
| Standard 4 | 1.00% | 1.26 min | 370000 |
| Standard 5 | 2.00% | 1.27 min | 740000 |
In this reference example, the relationship between ethanol concentration and peak area is treated as the following calibration curve.
Peak area = 370000 × Concentration (%)
Therefore, the concentration in the unknown sample is determined using the following equation.
Concentration (%) = Peak area ÷ 370000
Example Calculation of Ethanol Concentration in an Unknown Sample
If the ethanol peak area of unknown sample B is 222000, the concentration is determined using the calibration curve.
Ethanol concentration = 222000 ÷ 370000 = 0.600%
Therefore, the ethanol concentration in unknown sample B is determined to be 0.600%.
Example Calculation Including Dilution Factor
If the sample is diluted before measurement, the concentration in the measured solution determined from the calibration curve is multiplied by the dilution factor to obtain the concentration in the original sample.
| Condition | Peak Area | Concentration in Measured Solution | Dilution Factor | Concentration in Original Sample |
|---|---|---|---|---|
| No dilution | 222000 | 0.600% | 1× | 0.600% |
| 5-fold dilution | 148000 | 0.400% | 5× | 2.00% |
| 10-fold dilution | 92500 | 0.250% | 10× | 2.50% |
If the dilution factor is forgotten in the calculation, the concentration in the original sample will be substantially underestimated.
Example of Quantitation Using the Internal-Standard Method
In GC, even small differences in injection volume affect peak area.
Therefore, there is a method in which an internal-standard substance is added and quantitation is performed using the peak-area ratio of the target component to the internal standard.
Here, a reference example using 1-propanol as the internal standard is shown.
| Sample | Ethanol Concentration | Ethanol Area | Internal-Standard Area | Area Ratio |
|---|---|---|---|---|
| Standard 1 | 0.20% | 74000 | 200000 | 0.37 |
| Standard 2 | 0.50% | 185000 | 198000 | 0.93 |
| Standard 3 | 1.00% | 370000 | 202000 | 1.83 |
| Unknown sample | – | 260000 | 200000 | 1.30 |
In this reference example, the relationship between area ratio and concentration is treated as follows.
Area ratio = 1.85 × Ethanol concentration (%)
If the area ratio of the unknown sample is 1.30,
Ethanol concentration = 1.30 ÷ 1.85 = 0.703%
In the internal-standard method, even if the injection volume changes slightly, the peak-area ratio between the target component and internal standard is used, so the quantitative value tends to be more stable.
Example Calculation of Resolution
Resolution indicates how well adjacent peaks are separated.
If resolution is low, the peaks overlap and errors are more likely to occur in area calculation.
Resolution Rs = 2(tR2 − tR1) ÷ (w1 + w2)
For ethanol and acetone, if the retention times are 1.25 min and 1.80 min and the peak widths are 0.10 min and 0.11 min,
Rs = 2(1.80 − 1.25) ÷ (0.10 + 0.11)
Rs = 1.10 ÷ 0.21 = 5.24
This value is sufficiently large, so ethanol and acetone can be judged to be well separated.
Comparison of Resolution Between Peaks
| Peak Combination | Difference in Retention Time | Sum of Peak Widths | Resolution Rs | How to Interpret the Result |
|---|---|---|---|---|
| Ethanol / Acetone | 0.55 min | 0.21 min | 5.24 | Sufficiently separated |
| Acetone / Ethyl acetate | 0.85 min | 0.25 min | 6.80 | Sufficiently separated |
| Ethyl acetate / Toluene | 1.75 min | 0.32 min | 10.94 | Sufficiently separated |
| Closely spaced peaks after changing conditions | 0.06 min | 0.20 min | 0.60 | Insufficient separation |
Changes in Retention Time With Column Temperature
In GC, the higher the column temperature, the more quickly components elute and the shorter their retention times become.
However, if the temperature is too high, peaks may become closer together and separation may become poorer.
| Column Temperature | Ethanol | Acetone | Ethyl Acetate | Toluene | How to Interpret the Result |
|---|---|---|---|---|---|
| 50°C | 1.80 min | 2.70 min | 4.20 min | 8.60 min | Good separation but long analysis time |
| 70°C | 1.25 min | 1.80 min | 2.65 min | 4.40 min | Standard conditions |
| 90°C | 0.95 min | 1.22 min | 1.68 min | 2.75 min | Short analysis time |
| 120°C | 0.62 min | 0.78 min | 1.05 min | 1.70 min | Peaks tend to become closer |
If shortening the analysis time alone is prioritized, separation may become poorer.
When the purpose is quantitation, temperature conditions that provide sufficient peak separation must be selected.
Changes in Peak Area With Injection Volume
When the injection volume changes, the peak area also changes.
If the injection volume is too large, the peak shape may deteriorate or the detector’s linear range may be exceeded.
| Injection Volume | Ethanol Area | Peak Shape | How to Interpret the Result |
|---|---|---|---|
| 0.5 μL | 92000 | Good | Small area |
| 1.0 μL | 185000 | Good | Standard conditions |
| 2.0 μL | 368000 | Slightly broad | Approximately proportional |
| 5.0 μL | 780000 | Fronting | Possible overload |
If the injection volume is too large, the peak becomes asymmetric and errors occur in area calculation and reading of retention time.
Examples of Abnormal Peak Shapes
| Peak Shape | Appearance | Possible Cause | Effect on Quantitation |
|---|---|---|---|
| Good peak | Nearly symmetrical | Appropriate separation conditions | Easy area calculation |
| Tailing | Trails toward the back | Column deterioration, adsorption, active sites | Retention time and area become unstable |
| Fronting | Broadens toward the front | Sample overload, excessive injection volume | Peak start point becomes unclear |
| Peak overlap | Two components appear as one peak | Insufficient separation, inappropriate temperature conditions | Difficult to separate the areas |
If the peak shape is poor, the quantitative value changes depending on the integration range used for the peak area, reducing the reliability of the result.
Example of Measurement Outside the Calibration-Curve Range
If the peak area of an unknown sample exceeds the range of the standard solutions, determining the concentration by extrapolation may result in a large error.
In this case, the sample is diluted and remeasured.
| Measurement Condition | Peak Area | Apparent Concentration | Problem | Response |
|---|---|---|---|---|
| Within calibration-curve range | 222000 | 0.600% | Few problems | Can be calculated directly |
| High-concentration sample | 960000 | 2.59% | Exceeds standard-solution range | Dilute and remeasure |
| After 5-fold dilution | 185000 | 0.500% | Within range | Original sample is 2.50% |
Example of Confirming Reproducibility
A reference example is shown in which the same sample was injected multiple times and variation in retention time and peak area was checked.
| Measurement | Retention Time | Peak Area | Difference From Average | How to Interpret the Result |
|---|---|---|---|---|
| 1st | 1.25 min | 184500 | −0.3% | Good |
| 2nd | 1.26 min | 186200 | +0.6% | Good |
| 3rd | 1.25 min | 185100 | 0.0% | Good |
| Average | 1.25 min | 185267 | – | Reproducible |
If variation in retention time and peak area is small, the injection operation and instrument condition are considered to have been relatively stable.
Example of How to Write the Results
When the standard mixture was measured by GC, peaks were observed at retention times of 1.25, 1.80, 2.65, and 4.40 min.
Comparison with the retention times of the standard substances suggested that these corresponded to ethanol, acetone, ethyl acetate, and toluene, respectively.
Because peaks were also observed at similar retention times in the unknown sample, the sample is considered highly likely to contain these components.
When area percentages were calculated from the peak areas, the values were 18.5% for ethanol, 26.0% for acetone, 31.5% for ethyl acetate, and 24.0% for toluene.
From this result, ethyl acetate was detected as the largest component in terms of peak area.
However, because detector sensitivity differs among components, area percentage cannot be regarded directly as mass percentage.
When a calibration curve was prepared from the ethanol standard solutions, the relationship between peak area and concentration was expressed as “Peak area = 370000 × Concentration.”
Because the ethanol peak area of unknown sample B was 222000, the ethanol concentration was determined to be 222000 ÷ 370000 = 0.600%.
Points for Connecting the Results to the Discussion
In a discussion of GC analysis, it is important to explain retention time, peak area, area percentage, calibration curves, resolution, and peak shape in relation to one another.
- Can retention time be compared with that of a standard substance to provide a basis for component identification?
- Can it be explained that confirmation by standard addition or GC-MS is necessary when appropriate rather than making a definitive judgment from retention time alone?
- Can the area percentage be calculated from peak area?
- Can it be explained that area percentage does not necessarily represent mass percentage?
- Can the concentration in an unknown sample be determined using a calibration curve?
- If the sample was diluted before measurement, has the dilution factor been correctly taken into account?
- Can it be explained that the internal-standard method can correct for variation in injection volume?
- Can the effects of column temperature and flow rate on retention time and separation be discussed?
- Can it be explained that peak overlap, tailing, and fronting lead to quantitative errors?
Example Discussion
In this experiment, volatile components in a mixed sample were analyzed using gas chromatography.
In the standard mixture, ethanol, acetone, ethyl acetate, and toluene eluted at 1.25, 1.80, 2.65, and 4.40 min, respectively.
Because peaks with retention times close to these were also observed in the unknown sample, the same components were considered highly likely to be present.
When the area percentages were calculated from the peak areas, ethyl acetate was the largest at 31.5%, followed by acetone, toluene, and ethanol.
However, peak area is affected not only by the amount of a component but also by detector sensitivity and the ease of ionization or combustion.
Therefore, area percentage should be treated as an approximate indication of the mixing ratio, and calibration curves or correction factors must be used for accurate quantitation.
For quantitation of ethanol, a calibration curve prepared from the standard solutions was used.
Substituting the peak area of 222000 for unknown sample B into the calibration curve gave an ethanol concentration of 0.600%.
If the sample is diluted before measurement, the concentration in the measured solution must be multiplied by the dilution factor to obtain the concentration in the original sample.
If the dilution factor is not taken into account, the concentration will be substantially underestimated.
In the internal-standard method, quantitation was performed using the peak-area ratio between the target component and the internal-standard substance.
Even if the injection volume changes slightly, the areas of both the target component and the internal standard change in the same direction, so using the area ratio makes it possible to correct for variation in the injection procedure.
This method is particularly effective for manual injection and analysis of volatile samples.
Possible sources of error include variation in injection volume, fluctuations in column temperature, peak overlap, column deterioration, and abnormal peak shape.
Increasing the column temperature shortens the retention time, but the spacing between peaks may become narrower and separation may become poorer.
In addition, if the injection volume is too large, peaks may show fronting and the readings of retention time and area may become unstable.
Therefore, in GC analysis, conditions must be set while checking not only the analysis time but also peak separation and peak shape.
Summary
In GC analysis, components are estimated by comparing retention times with those of standard substances, and component amounts are evaluated from peak areas.
Area percentage can be calculated easily, but because it does not take differences in sensitivity among components into account, calibration curves or the internal-standard method are required for rigorous quantitation.
This reference example used a mixed sample containing ethanol, acetone, ethyl acetate, and toluene to examine retention time, peak area, area percentage, calibration curves, dilution factor, the internal-standard method, resolution, and the effects of peak shape.
In a report, it is useful to discuss identification by retention time, quantitation by peak area, changes in retention time caused by measurement conditions, and sources of error in relation to one another.
How to Read a Chromatogram
A chromatogram obtained by GC is a graph with time on the horizontal axis and detector signal intensity on the vertical axis.
Each component appears as a peak when it reaches the detector.
Components that produce early peaks are considered to be weakly retained in the column, while components that produce late peaks are considered to be strongly retained in the column.
When examining a chromatogram, attention is paid to the number of peaks, retention times, peak areas, peak shapes, and separation.
If peaks overlap, it becomes difficult to accurately identify and quantify the components.
If the peak shape is asymmetric, there may be a problem with the column condition or injection conditions.
Example Discussion:
Multiple peaks were observed in the chromatogram, each showing a different retention time.
This was considered to be because the components in the sample were retained to different degrees in the column and therefore reached the detector at different times.
The number of peaks provides a clue to the number of components in the sample, but if peaks overlap, the actual number of components may be underestimated.
What Is Retention Time?
Retention time is the time from injection of the sample until each component reaches the detector and is observed as a peak.
Retention time changes depending on the volatility of the component, interaction with the stationary phase, column temperature, carrier-gas flow rate, type of column, and other factors.
If measured under the same conditions, the same component shows a peak at approximately the same retention time.
Retention time is used for component identification, but it is risky to conclude that components are completely identical simply because their retention times agree.
Because another component with similar properties may show a similar retention time, confirmation is performed when necessary by standard addition, measurement under different conditions, GC-MS, or similar methods.
Example Discussion:
Because the retention time of the peak in the unknown sample was close to that of the standard substance, the peak is highly likely to originate from the target component.
Because retention time depends on the interaction between the component and stationary phase and on volatility, comparison with a standard substance measured under the same conditions is important.
However, because another component may coincidentally overlap even if the retention times agree, confirmation under different conditions is desirable when necessary.
Causes of Changes in Retention Time
Retention time is a value readily affected by measurement conditions.
As column temperature increases, components move more readily into the gas phase and retention time generally becomes shorter.
If the carrier-gas flow rate is high, the time required for components to pass through the column also becomes shorter, and the retention time may decrease.
Column deterioration, condition of the stationary phase, condition of the inlet, sample amount, solvent, and contamination inside the column also affect retention time.
Measuring standard substances and unknown samples on the same day under the same conditions improves the accuracy of retention-time comparison.
Example Discussion:
Possible causes of the slight difference in retention time from that observed during measurement of the standard substance include fluctuations in column temperature and carrier-gas flow rate.
In GC, increasing the column temperature tends to increase the movement rate of components and shorten their retention times.
In addition, differences in column condition and injection conditions also change retention time, so it is important to measure standard substances under the same conditions for identification.
What Is Peak Area?
Peak area is the total area of a peak on the chromatogram.
In many cases, peak area is proportional to the amount of the detected component.
Therefore, GC quantitation generally uses peak area rather than peak height.
This is because even if a peak broadens slightly, the area tends to reflect the amount of the component.
However, appropriate baseline setting and peak separation are important for determining peak area correctly.
If peaks overlap or the baseline is unstable, errors occur in peak-area calculation.
In addition, because detector response differs among components, the area cannot always be treated directly as a concentration ratio.
Example Discussion:
Peak area is a value corresponding to the amount of component reaching the detector and can be used for quantitative analysis.
In this experiment, a calibration curve was prepared from the relationship between the peak areas and concentrations of the standard substances, and the concentration was determined using the peak area of the unknown sample.
However, if peaks overlap or the baseline is set inappropriately, errors occur in the area values and affect the quantitative results.
Difference Between Peak Height and Peak Area
Peak height represents the maximum signal value of a peak.
Peak area, on the other hand, represents the total amount of signal from the entire peak.
If the peak is sharp and symmetrical, peak height can also serve as an approximate indication of the amount of a component, but if the peak broadens or tails, height alone becomes less able to accurately reflect the amount of the component.
In GC quantitation, using peak area is generally more reliable.
However, area calculation is also affected by the baseline and peak separation, so the peak shape and overlap must be checked.
Example Discussion:
Peak height represents the maximum signal of a peak but does not readily reflect changes in peak width.
Peak area, on the other hand, represents the total signal of the entire peak and is therefore more suitable for evaluating component amount.
However, if peaks overlap, the areas cannot be separated accurately and errors may occur in quantitative values.
How to Think About Retention Time and Component Identification
The basic method for identifying a component by GC is to compare the peak retention time of the unknown sample with the retention time of a standard substance.
If the standard substance and unknown sample are measured under the same GC conditions and the retention times agree, the peak may be the same component as the standard substance.
However, retention time alone does not provide complete identification.
Multiple components may appear near the same retention time.
For more reliable identification, it is effective to confirm an increase in the peak after addition of the standard substance, perform measurements under different column conditions, or confirm the mass spectrum by GC-MS.
Example Discussion:
Because the peak retention time of the unknown sample agreed with that of the standard substance, the target component may be present in the sample.
However, if another component with a similar retention time is also present, the peaks may overlap and cause misidentification.
Therefore, agreement of retention time should be treated as one basis for identification, and reliability can be improved by additional confirmation using standard addition or GC-MS.
How to Think About Peak Area and Quantitation
GC quantitation uses the relationship in which peak area is proportional to the amount of a component.
Standard solutions of known concentration are measured to prepare a calibration curve showing the relationship between concentration and peak area, and the concentration is determined by substituting the peak area of the unknown sample into the calibration curve.
This method is sometimes called the external-standard method.
However, variation in injection volume, volatilization of the sample, differences in detector response, and peak overlap produce errors in the relationship between peak area and concentration.
For accurate quantitation, it is important to measure the standard solutions and unknown sample under the same conditions and confirm the linearity of the calibration curve.
Example Discussion:
Because the peak area increased as the concentration of the standard solution increased, the peak area was considered proportional to the amount of the component within the measurement range.
A calibration curve was prepared using this relationship, and the concentration was determined from the peak area of the unknown sample.
However, variation in injection volume and insufficient peak separation affect peak area, so the quantitative value may contain a certain degree of error.
Discussion of the Calibration Curve
A calibration curve is a graph showing the relationship between the concentration of standard solutions and peak area.
In GC analysis, standard solutions at multiple concentrations are measured to confirm whether peak area increases linearly with concentration.
If the calibration curve shows good linearity, concentration can be determined using peak area within that range.
A high correlation coefficient of the calibration curve is important, but it is not sufficient by itself.
The accuracy of standard-solution preparation, reproducibility of injection volume, outliers, size of the intercept, and linear range of the detector must also be checked.
If the peak area of the unknown sample is outside the calibration-curve range, it is desirable to dilute or concentrate the sample and remeasure it.
Example Discussion:
Because the calibration curve prepared from the standard solutions showed good linearity, quantitation using peak area was considered possible within this concentration range.
If the peak area of the unknown sample is within the calibration-curve range, the concentration can be determined by interpolation, so the reliability of the quantitative value is relatively high.
On the other hand, if there are points that deviate from the calibration curve, errors in standard-solution preparation or variation in injection volume can be considered as possible causes.
Discussion of the External-Standard Method
The external-standard method is a method in which standard solutions and unknown samples are measured separately and the concentration of the unknown sample is determined from a calibration curve prepared using the standard solutions.
It has the advantage of being relatively simple to perform and making calibration-curve preparation easy.
On the other hand, it has the disadvantage of being readily affected by variations in injection volume and instrument condition.
In GC, even small differences in injection volume may affect peak area.
Therefore, in the external-standard method, it is important to improve the reproducibility of the injection procedure.
Reproducibility becomes higher when an autosampler is used, while variation may become larger with manual injection.
Example Discussion:
In the external-standard method, the unknown sample is quantified using the relationship between the peak area and concentration of the standard solutions.
However, because the standard solutions and unknown sample are injected separately, variation in injection volume directly affects peak area.
Therefore, to perform accurate quantitation by the external-standard method, it is important to keep the injection volume constant and standardize the measurement conditions.
Discussion of the Internal-Standard Method
The internal-standard method is a method in which a fixed amount of an internal-standard substance is added to the sample and standard solutions and quantitation is performed using the ratio of the peak area of the target component to that of the internal standard.
Using an internal standard makes it easier to correct for the effects of variation in injection volume and losses during sample preparation.
The internal-standard substance is selected so that it has chemical properties somewhat similar to those of the target component, is not originally present in the sample, and is sufficiently separated from the target component.
If the internal-standard peak overlaps with the target-component peak, the area ratio cannot be determined correctly.
Example Discussion:
In the internal-standard method, correcting the peak area of the target component using the peak area of the internal-standard substance reduces the effect of variation in injection volume.
If quantitation is performed using the peak-area ratio in this experiment, higher reproducibility is expected than when using the peak area of the target component alone.
However, the internal-standard substance must be sufficiently separated from the target component and must not originally be present in the sample.
Discussion of the Area-Percentage Method
The area-percentage method determines the component ratio from the proportion of the target peak area relative to the total area of all peaks in the chromatogram.
It is convenient for determining the approximate composition of a mixture, but because detector response is not necessarily the same for every component, it does not necessarily represent an accurate concentration.
Particularly with FID and similar detectors, the response may differ depending on the number of carbon atoms and structure of the component.
Therefore, caution is required when treating area percentage directly as weight percent or mole percent.
Accurate quantitation may require correction of response factors using standard substances.
Example Discussion:
The area-percentage method makes it possible to approximately estimate the component ratio in a sample from the proportion of each peak area.
However, because detector response differs among components, the peak-area ratio does not necessarily directly represent the concentration ratio.
Therefore, area percentage is useful for simple comparison, but accurate quantitation requires calibration curves using standard substances or correction of response factors.
Discussion of Peak Separation
In GC analysis, it is important that the peaks of the target component and other components be sufficiently separated.
If peaks overlap, identification by retention time becomes difficult and the peak area cannot be determined accurately.
If separation is insufficient, the amount of the target component may be overestimated or underestimated.
To improve separation, the column temperature, temperature program, type of column, carrier-gas flow rate, and injection volume are reviewed.
In general, lowering the temperature may improve separation, but the analysis time becomes longer.
Adjustment of the temperature-program conditions is particularly important in multicomponent analysis.
Example Discussion:
If the peak of the target component is not sufficiently separated from an adjacent peak, it becomes difficult to determine the peak area accurately.
In this case, the concentration of the target component may be overestimated or underestimated.
To improve separation, the column temperature, temperature-program conditions, and carrier-gas flow rate must be adjusted to find conditions under which the peaks do not overlap.
Discussion of Resolution
Resolution is an indicator of how well two peaks are separated.
The higher the resolution, the less the peaks overlap and the higher the reliability of identification and quantitation.
If the resolution is low, division of peak areas becomes inaccurate and quantitative errors increase.
Resolution is related to the difference in retention time and peak width.
Even if the retention times are sufficiently separated, broad peaks readily overlap.
Conversely, even if the retention times are close, sharp peaks are easier to separate.
Example Discussion:
Because the resolution between the two peaks was low, it was difficult to calculate the peak areas accurately.
Resolution depends not only on the difference in retention time but also on peak width.
Because broader peaks overlap more readily with adjacent peaks, it is important to adjust the column conditions and injection volume to reduce peak width.
Discussion When Peaks Overlap
If peaks overlap in GC, multiple components may be eluting at similar retention times.
If the peaks overlap completely, they may appear as a single peak, causing the number of components to be underestimated.
Even when they overlap only partially, errors occur when dividing the peak areas.
Countermeasures for peak overlap include changing the temperature conditions, changing the temperature-program rate, using a column with different polarity, and adjusting the sample concentration or injection volume.
Adding a standard substance and observing how the peak changes can also provide a clue for identification.
Example Discussion:
If the peak of the target component overlaps with that of another component, the peak areas are added together on the chromatogram and the amount of the target component may be overestimated.
In addition, if overlapping peaks are forcibly separated, the area values may change greatly depending on the baseline and peak-shape settings.
Therefore, when peak overlap is present, the analysis conditions must be changed to improve separation.
Discussion When Peaks Are Broad
Causes of broad peaks include excessive injection volume, column deterioration, excessively low column temperature, inappropriate carrier-gas flow rate, excessive retention of the sample in the column, and excessive diffusion within the instrument.
Broad peak width reduces resolution and also reduces the accuracy of reading peak area.
Peaks may also broaden if the sample solvent is incompatible with the column conditions or if the sample is not properly vaporized at the inlet.
Peak width is important information for judging the quality of separation.
Example Discussion:
Possible causes of the broad peak include excessive injection volume and large diffusion within the column.
As the peak broadens, separation from adjacent peaks becomes poorer and errors also occur in reading the retention time and peak area.
Therefore, it is important to set the injection volume, column temperature, and carrier-gas flow rate appropriately.
Discussion When Peaks Tail
The phenomenon in which a peak trails toward the back is called tailing.
Tailing may occur when a component interacts strongly with the column, inlet, liner, or active sites.
Tailing may occur readily with polar compounds, acidic or basic compounds, and components that readily adsorb.
When tailing occurs, calculation of peak area and reading of retention time become inaccurate.
Possible countermeasures include replacing the column, replacing the liner, cleaning the inlet, derivatization, and changing the column conditions.
Example Discussion:
One possible reason tailing was observed in the peak of the target component is that the component adsorbed to active sites in the column or to inlet parts.
If tailing is large, the endpoint of the peak becomes unclear and errors occur in calculation of peak area.
Therefore, the condition of the inlet and column must be checked and the conditions improved when necessary.
Discussion When Peaks Broaden Toward the Front
The phenomenon in which the front side of a peak broadens is called fronting.
Fronting may occur when an amount of sample exceeding the column capacity is injected or when the retention capacity of the column is insufficient.
If the injection volume is too large, the peak shape deteriorates and accurate quantitation becomes difficult.
Methods for preventing fronting include diluting the sample, reducing the injection volume, increasing the split ratio, and reviewing the column conditions.
If the peak shape is poor, it is important to check not only the area value but also the injection conditions.
Example Discussion:
One possible reason fronting was observed in the peak is that the injection volume was too large and exceeded the retention capacity of the column.
In this case, the peak shape becomes asymmetric and the accuracy of reading retention time and peak area decreases.
As a countermeasure, the sample concentration or injection volume must be reduced so that an excessive amount of sample does not enter the column.
Effect of Column Temperature
Column temperature is a very important condition in GC analysis.
The higher the temperature, the more readily components move into the gas phase and the shorter their retention times become.
On the other hand, at lower temperatures, retention times become longer and separation may improve, but the analysis time may increase and peaks may broaden.
For multicomponent mixtures, a temperature program may be used to analyze low-boiling and high-boiling components simultaneously.
If the temperature ramp is too fast, peaks are more likely to overlap, while if it is too slow, the analysis time becomes long.
Example Discussion:
Under conditions with a high column temperature, the retention times of the components were considered to have become shorter.
This was because the increase in temperature caused the components to exist more readily in the gas phase than in the stationary phase and therefore move through the column more quickly.
However, if the temperature is too high, the differences in retention time among components become smaller and peak separation may become poorer.
Effect of Carrier-Gas Flow Rate
The carrier gas is the gas that transports vaporized sample components through the column.
If the flow rate is high, components move more quickly and retention times become shorter.
However, if the flow rate is too high, components may reach the detector before they have been sufficiently separated, resulting in poorer separation.
Conversely, if the flow rate is too low, the analysis time becomes long and peaks may broaden.
There is an optimum range for the carrier-gas flow rate, and the balance between separation efficiency and analysis time must be considered.
Example Discussion:
Changes in carrier-gas flow rate alter the rate at which components move through the column and therefore affect retention time and separation.
At high flow rates, retention time becomes shorter, but separation between components may become insufficient.
On the other hand, if the flow rate is too low, the analysis time becomes long and the peak width may increase, so setting an appropriate flow rate is important.
Interaction Between the Stationary Phase and Components
The stationary phase inside a GC column greatly affects component retention time and separation.
The more strongly a component interacts with the stationary phase, the longer it remains in the column and the longer its retention time becomes.
Polar compounds tend to be retained by polar stationary phases, while in nonpolar stationary phases, boiling point and dispersion forces may have a greater effect.
The elution order can be explained by considering not only the boiling points of components but also polarity, molecular weight, functional groups, and interactions with the stationary phase.
Even components with similar boiling points may have different retention times if their interactions with the stationary phase differ.
Example Discussion:
The retention times differed among components because not only their volatility but also the strength of their interactions with the stationary phase differed.
Components that interact strongly with the stationary phase remain in the column longer and therefore have longer retention times.
Therefore, when discussing the elution order, the effects of boiling point, polarity, molecular weight, and functional groups must be considered comprehensively.
Relationship Between Boiling Point and Retention Time
In general, on a nonpolar column, components with lower boiling points tend to elute earlier, while components with higher boiling points tend to elute later.
This is because lower-boiling components exist more readily in the gas phase and move through the column more quickly.
On the other hand, higher-boiling components tend to remain in the stationary phase and have longer retention times.
However, for polar compounds or components having particular functional groups, interactions with the stationary phase may be strong and the elution order cannot always be explained by boiling point alone.
GC retention time is determined by both volatility and interaction with the stationary phase.
Example Discussion:
On a nonpolar column, components with lower boiling points tend to have shorter retention times.
This is because low-boiling components exist more readily in the gas phase and move through the column more quickly.
However, for polar components, interactions with the stationary phase greatly affect retention time, so the elution order cannot be judged from boiling point alone.
Effect of Injection Volume
In GC, injection volume greatly affects peak area and peak shape.
The larger the injection volume, the larger the peak area becomes, but if it is too large, the column becomes overloaded and peaks may broaden or show fronting.
If the injection volume is too small, peaks become small and more susceptible to noise.
In quantitative analysis, the injection volumes of standard solutions and unknown samples must be kept constant.
With manual injection, variation in injection volume and injection speed may occur readily and affect the reproducibility of peak area.
Example Discussion:
Variation in injection volume may have caused the variation in peak area.
In GC, the larger the amount of sample injected, the larger the peak area becomes, so if the injection volume is not constant, errors occur in quantitative values.
In addition, if the injection volume is too large, the column becomes overloaded and the peak shape may deteriorate.
Effect of Split Ratio
In split injection, only part of the injected sample is introduced into the column and the remainder is discharged.
The larger the split ratio, the smaller the amount of sample entering the column.
For concentrated samples, increasing the split ratio can prevent column overload and improve peak shape.
On the other hand, if the split ratio is too large for a low-concentration sample, the amount of sample entering the column becomes small, causing the peak to become too small and making detection difficult.
It is important to select an appropriate split ratio according to sample concentration.
Example Discussion:
Under conditions with a large split ratio, the amount of sample introduced into the column becomes smaller and the peak area decreases.
For high-concentration samples, increasing the split ratio can prevent column overload and improve peak shape.
On the other hand, for low-concentration samples, the peak may become too small, so conditions must be set according to sample concentration.
Discussion of Detector Response
In GC, the components that can be detected and the sensitivity differ depending on the type of detector.
FID is commonly used for detecting organic compounds and shows high sensitivity to many compounds containing carbon.
TCD is relatively versatile, but its sensitivity may be lower than that of FID.
ECD is highly sensitive to halogenated compounds and similar substances.
Because detector response differs among components, caution is required when simply comparing peak areas to judge relative component amounts.
For accurate quantitation, it is desirable to prepare a calibration curve using a standard substance for each analyte.
Example Discussion:
GC peak area is related to component amount, but detector response differs depending on the type of component.
Therefore, simply comparing the peak areas of different components may not allow them to be interpreted directly as concentration ratios.
For accurate quantitation, calibration curves must be prepared using standard substances for each component and differences in detector response must be taken into account.
Discussion of GC-FID
GC-FID is GC analysis using a flame-ionization detector.
Organic compounds are combusted and ionized in a hydrogen flame, and the resulting ion current is detected.
FID is characterized by high sensitivity to many organic compounds and relatively good quantitative performance.
However, the FID response may vary depending on the number of carbon atoms and structure of the component.
It may respond poorly to water, carbon dioxide, inorganic gases, and similar substances.
Therefore, although peak area obtained by FID reflects the amount of organic components, response factors for individual components must be taken into account.
Example Discussion:
In FID, organic compounds are ionized in a hydrogen flame and their signals are detected as peaks.
The organic-component peaks were clearly observed in this experiment because FID shows high sensitivity to compounds containing carbon.
However, because response factors may differ among components, correction using standard substances is required for accurate quantitation.
Difference From GC-MS
GC-MS is a method in which components separated by GC are detected with a mass spectrometer.
With GC alone, components are estimated from retention time, whereas GC-MS provides molecular-weight and fragment information from mass spectra, increasing the reliability of identification.
On the other hand, ordinary GC-FID has excellent quantitative performance, but identification based on retention time alone may be insufficient.
GC-MS is effective for identifying unknown components, while GC-FID may be easier to use for quantitation of known components.
Example Discussion:
In GC, components can be estimated by comparing retention times with those of standard substances, but retention time alone may be insufficient as evidence for identification.
GC-MS provides molecular-weight and fragment information from mass spectra in addition to retention time, improving the reliability of component identification.
Therefore, for samples containing unknown components, confirmation by GC-MS is effective.
Causes of Quantitative Values Being Too High
Causes of GC quantitative values being higher than the actual value include peak overlap, errors in baseline setting, excessive injection volume, mistakes in preparing standard-solution concentrations, mistakes in calculating dilution factors, and components other than the target component eluting at the same retention time.
When peaks overlap, the area of another component is included in the peak area of the target component, potentially causing the concentration to be overestimated.
Example Discussion:
One possible reason the quantitative value was high is that the peak of another component overlapped with that of the target component.
In this case, the peak area includes signals from components other than the target component, so the concentration determined from the calibration curve becomes higher than the actual value.
In addition, if the baseline is set too low, the peak area is overestimated and the quantitative value may become high.
Causes of Quantitative Values Being Too Low
Causes of GC quantitative values being lower than the actual value include volatile loss of the sample, insufficient injection volume, decomposition at the inlet, adsorption, underestimation of peak area, errors in standard-solution concentration, and losses during sample preparation.
For highly volatile components, part of the component may evaporate during sample preparation or storage, causing the measured concentration to be lower than the actual concentration.
In addition, polar components and components that readily adsorb may adsorb at the inlet or inside the column, reducing the amount that reaches the detector.
In such cases, the peak area becomes smaller and the concentration may be underestimated.
Example Discussion:
One possible reason the quantitative value was low is that some volatile components were lost during sample preparation.
Because GC analysis handles volatile components, evaporation during standing or transfer of the sample results in a smaller peak area than the actual value.
In addition, if the component adsorbs or decomposes at the inlet or inside the column, the amount detected decreases and the quantitative value may be underestimated.
Discussion of the Baseline
The baseline is the reference signal line in portions where no peak is present.
If the baseline is stable, peak area can be determined accurately.
However, if the baseline is sloped, drifting, or contains large noise, errors occur in peak-area calculation.
Baseline disturbances may be caused by column bleed, the temperature program, detector stability, sample contamination, and effects of solvent peaks.
Particularly when quantifying small peaks, baseline setting greatly affects the result.
Example Discussion:
Because the baseline was unstable, an error may have occurred in calculation of peak area.
In GC quantitation, peak area is calculated as a signal relative to the baseline, so if the baseline is sloped, the area value may be overestimated or underestimated.
Particularly for small peaks, baseline setting greatly affects the quantitative value.
Discussion of Noise
Noise is unwanted fluctuation contained in the detector signal.
If noise is large, detection of small peaks and calculation of their areas become difficult.
In low-concentration samples, the peak signal is small, so the effect of noise becomes larger and quantitative accuracy decreases.
Causes of noise include detector instability, fluctuations in gas flow rate, electrical noise, contamination, column deterioration, and unstable temperature control.
If noise is large, stabilization of the instrument, blank measurements, and checking the condition of the column and detector are necessary.
Example Discussion:
If noise is large, it becomes difficult to accurately detect peaks from low-concentration components.
If peak height or peak area is buried in the noise, variation in quantitative values becomes larger.
Therefore, when analyzing trace components, the instrument must be sufficiently stabilized and the conditions of the detector and gas flow rate must be checked.
Importance of Standard Substances
In GC analysis, standard substances can be used to confirm retention time and prepare calibration curves.
Without a standard substance, it becomes difficult to identify a component reliably from retention time alone.
Measuring a standard substance under the same conditions makes it easier to compare peaks in the unknown sample.
In quantitative analysis, it is important to prepare the concentration of the standard substance accurately.
If there is an error in the concentration of the standard solution, the entire calibration curve shifts and the quantitative value of the unknown sample is also affected.
Example Discussion:
Using standard substances makes it possible to estimate components by comparing retention times and to perform quantitation using peak areas.
If the retention time of the standard substance agrees with a peak in the unknown sample, this provides evidence supporting the presence of the target component.
In addition, if the concentration of the standard solution is inaccurate, the calibration curve shifts and systematic error also occurs in the quantitative value of the unknown sample.
Errors Caused by Sample Preparation
In GC analysis, sample preparation greatly affects the results.
Errors in dilution factor, mistakes in preparing standard solutions, volatile loss of the sample, inappropriate solvent selection, sample decomposition, and adsorption to containers are sources of error.
When handling volatile components, it is important not to leave the sample open for a long period.
In addition, if the sample contains large amounts of water or nonvolatile components, the inlet or column may become contaminated.
Pretreatment such as extraction, dilution, filtration, or drying is performed when necessary.
Example Discussion:
Possible causes of variation in quantitative values include volatile loss and dilution errors during sample preparation.
Because GC handles volatile components, leaving the sample open may cause some components to evaporate and reduce the peak area.
In addition, an error in the dilution factor causes a large error when converting the concentration determined from the calibration curve back to the concentration in the original sample.
Discussion of Decomposition and Adsorption at the Inlet
In GC, the sample is vaporized at a high-temperature inlet.
Thermally unstable components may decompose at the inlet.
In addition, highly polar or highly reactive components may adsorb to the inlet liner or column entrance.
If these occur, peaks may become smaller, show tailing, or separate peaks from decomposition products may appear.
Possible countermeasures include setting an appropriate inlet temperature, replacing the liner, derivatization, and using a low-activity column.
For components that readily undergo thermal decomposition, it is necessary to consider whether the GC conditions themselves are appropriate.
Example Discussion:
If the peak of the target component was small and another peak was observed, thermal decomposition at the inlet may have occurred.
Because GC vaporizes the sample at high temperature, thermally unstable compounds may decompose and produce low quantitative values.
In addition, adsorption of the component at the inlet or column entrance may cause peak tailing and reduced area.
When GC Analysis Can Be Judged to Have Given Good Results
GC analysis can be judged to have given good results when the peak of the target component appears clearly at the same retention time as the standard substance, is sufficiently separated from adjacent peaks, has a symmetrical peak shape, and the calibration curve shows good linearity.
It is also important that the peak area of the unknown sample be within the calibration-curve range and that similar values be obtained upon remeasurement.
Agreement of retention time is important for identification, while the validity of peak area and the calibration curve is important for quantitation.
The less peak overlap, tailing, and baseline disturbance there is, the easier it is to judge the result as reliable.
Example Discussion:
In this experiment, the peak of the target component appeared at almost the same retention time as that of the standard substance and was sufficiently separated from adjacent peaks.
In addition, the calibration curve of the standard solutions showed good linearity, and the peak area of the unknown sample was within the calibration-curve range.
From these results, identification and quantitation of the target component by GC analysis were considered generally valid.
Example Discussion When the Experiment Did Not Go Well
When GC analysis does not go well, possible causes are considered from results such as no visible peak, shifted retention time, overlapping peaks, broad peaks, tailing, variation in peak area, a nonlinear calibration curve, or a quantitative value that deviates greatly.
Organizing the causes according to sample preparation, injection procedure, column conditions, temperature conditions, detector, and baseline makes the discussion easier.
Example Discussion:
In this experiment, the peak of the target component overlapped with an adjacent peak, making it difficult to determine the peak area accurately.
Possible causes include an excessively high column temperature that reduced the difference in retention time between the components or an excessively fast temperature ramp.
More accurate quantitation requires reviewing the temperature conditions and column conditions and sufficiently separating the target component from other components.
How to Write Points for Improvement
In a discussion of GC analysis, including not only sources of error but also points for improvement makes the report easier to organize.
Improvements can be organized by dividing them into sample preparation, injection procedure, separation conditions, quantitative methods, and instrument management.
Improvements to Sample Preparation
- Prepare standard solutions accurately
- Manage dilution factors accurately
- Prevent loss of volatile components
- Store the sample in a sealed container
- Perform filtration or extraction when necessary
- Reduce water and nonvolatile components in the sample
Improvements to the Injection Procedure
- Keep the injection volume constant
- Standardize the injection speed
- Remove bubbles from the syringe
- Use an autosampler
- Adjust the split ratio according to sample concentration
- Set an appropriate inlet temperature
Improvements to Separation Conditions
- Adjust the column temperature
- Review the temperature ramp rate
- Optimize the carrier-gas flow rate
- Consider a column with different polarity
- Reduce the injection volume to improve peak shape
- Find conditions that avoid peak overlap
Improvements to Quantitation and Analysis
- Confirm the linear range of the calibration curve
- Confirm that the unknown sample is within the calibration-curve range
- Use the internal-standard method
- Check baseline settings
- Confirm reproducibility of peak area
- Perform multiple measurements and show the average value and variation
Example of How to Write Points for Improvement:
To improve the quantitative accuracy of GC analysis, the injection volumes of the standard solutions and unknown sample must be kept constant and the reproducibility of peak area must be improved.
In addition, it is important to adjust the column temperature, temperature-program conditions, and carrier-gas flow rate so that the peak of the target component does not overlap with those of other components.
If variation in injection volume is a problem, the reliability of quantitative values can be improved by using the internal-standard method.
Difference Between a Superficial Discussion and a Good Discussion
In a discussion of GC analysis, simply writing that “a peak appeared,” “the retention times were the same,” or “the area was large” results in a superficial discussion.
A good discussion relates retention time, peak area, separation state, calibration curve, injection conditions, and sources of error.
| Superficial Discussion | Good Discussion |
|---|---|
| The retention times matched. | Because the peak retention time of the unknown sample agreed with that of the standard substance, the peak may originate from the target component. However, because another component with a similar retention time may overlap, agreement of retention time must be treated as one basis for identification. |
| The peak area was large. | A large peak area indicates that a large amount of the component was detected. However, because detector response differs among components, accurate quantitation requires a calibration curve prepared using standard substances. |
| The peaks overlapped. | When peaks overlap, signals from other components are included in the peak area of the target component, potentially causing the quantitative value to be overestimated or underestimated. To improve separation, the temperature conditions and column conditions must be reviewed. |
| The values varied. | Variation in quantitative values may have been caused by variation in injection volume, volatile loss of the sample, baseline setting, column condition, or insufficient peak separation. |
Examples of Expressions That Can Be Used in Reports
The following expressions can be used when writing the results and discussion of GC analysis.
Adjust the necessary parts according to your own experimental results.
- Retention time indicates the time required for a component to move through the column and reach the detector.
- Because the peak retention time of the unknown sample agreed with that of the standard substance, the presence of the target component was suggested.
- Peak area corresponds to the amount of detected component and can be used for quantitative analysis.
- Because the calibration curve showed linearity, quantitation using peak area was possible within this concentration range.
- If peaks overlap, it becomes difficult to determine peak area accurately and errors occur in quantitative values.
- A shift in retention time may be caused by changes in column temperature, carrier-gas flow rate, or column condition.
- Variation in injection volume directly affects peak area and therefore causes variation in quantitative values.
- Tailing may occur when a component adsorbs to active sites in the column or inlet.
- In the area-percentage method, differences in detector response among components must be considered.
- Using the internal-standard method makes it easier to correct for the effects of variation in injection volume.
Points to Check When Discussing GC Analysis
Checking the following points before writing the report makes the discussion easier to write.
- Are the GC conditions clearly stated?
- Has retention time been compared with that of a standard substance?
- Has the basis for using peak area for quantitation been stated?
- Are peak height and peak area kept separate?
- Are the calibration-curve equation and correlation coefficient shown?
- Has it been confirmed that the unknown sample is within the calibration-curve range?
- Has it been confirmed that peak separation is sufficient?
- Have the effects of peak overlap and tailing been considered?
- Have the effects of injection volume and split ratio been considered?
- Have the effects of column temperature and carrier-gas flow rate been considered?
- Are the differences between the internal-standard and external-standard methods understood?
- Do the points for improvement correspond to the sources of error?
Summary
In GC analysis, volatile components in a mixture are separated by a column and identified and quantified based on retention time and peak area.
Retention time is the time required for a component to reach the detector and can be used to estimate components by comparison with standard substances.
Because peak area corresponds to the amount of detected component, it can be used for quantitation with a calibration curve.
However, retention time changes depending on column temperature, carrier-gas flow rate, and column condition.
Peak area is also affected by injection volume, baseline, peak separation, detector response, and sample preparation.
Therefore, in a discussion of GC analysis, identification should not be concluded solely from agreement of retention time, and peak separation and comparison with standard substances must also be confirmed.
In a report, rather than simply writing that “a peak appeared” or “the area was large,” discuss retention time, peak area, calibration curves, resolution, injection volume, column conditions, and sources of error in relation to one another.
For accurate quantitation, it is important to measure within the linear range of the calibration curve, use the internal-standard method when necessary, and analyze under conditions in which the peaks are sufficiently separated.
