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Determine Impurities in High-Purity Propylene Oxide with Agilent J&W PoraBOND U

Applications | 2015 | Agilent TechnologiesInstrumentation
GC, GC columns, Consumables
Industries
Energy & Chemicals
Manufacturer
Agilent Technologies

Summary

Importance of the Topic


Propylene oxide is a critical building block for a wide range of industrial and consumer products. Ensuring its high purity is essential for downstream processes in pharmaceuticals, polymers, cosmetics and other applications. Trace impurities can affect product performance, safety and regulatory compliance. Reliable, sensitive and robust analytical methods are required to monitor and control low-level contaminants in propylene oxide.

Objectives and Overview of the Study


The main goal was to establish a gas chromatography method with flame ionization detection for simultaneous determination of volatile impurities in high-purity propylene oxide. Target analytes included propylene, methanol, ethylene oxide, acetaldehyde, methyl formate, furan and propanal. The study evaluated chromatographic separation, detection limits, accuracy and precision using an Agilent J&W PoraBOND U PLOT column and area-normalization quantification.

Used Instrumentation


  • Agilent 7890A gas chromatograph with flame ionization detector
  • Agilent 7693A automatic liquid sampler
  • Agilent J&W PoraBOND U PLOT column (25 m x 0.32 mm, 7 μm)

Methodology


Samples and standards were prepared from industrial propylene oxide matrices. Hydrogen was used as carrier gas at constant flow. The inlet was operated in split mode at 170 °C. Oven temperature was programmed from 80 °C to 200 °C at 5 °C/min. A 0.5 μL injection volume and FID temperature of 270 °C were applied. Quantification relied on corrected peak area normalization using relative response factors calculated via the effective carbon number concept to compensate for highly volatile compounds.

Main Results and Discussion


Chromatograms demonstrated baseline separation of all target impurities with resolution values above 1.5. Detection limits ranged from 0.05 mg/kg for furan to 1.70 mg/kg for acetaldehyde, enabling reliable ppm-level monitoring. Recoveries for spiked samples were between 98.3 and 105.1 % for representative impurities. Repeatability tests at three concentration levels showed relative standard deviations below 6.2 %. These results confirm the method's high sensitivity, selectivity and stability across different impurity types.

Benefits and Practical Applications


The method offers rapid analysis, minimal sample preparation and robust quantification without requiring complex standards. It supports quality control in multiple propylene oxide production processes and meets regulatory requirements for trace impurity monitoring. The high inertness of the PoraBOND U column ensures reliable performance with reactive oxygenated compounds.

Future Trends and Potential Applications


Advances may include coupling with mass spectrometry for enhanced compound identification, miniaturized GC systems for on-site testing and automated data processing. The approach could be extended to other high-purity monomers and reactive intermediates, further improving process control and product safety.

Conclusion


A GC/FID method using an Agilent J&W PoraBOND U PLOT column was successfully validated for comprehensive impurity profiling in high-purity propylene oxide. The approach delivers low detection limits, excellent accuracy and precision, making it suitable for routine quality assurance across different manufacturing processes.

Reference


  1. Saunders JH and Frisch KC. Polyurethanes: Chemistry and Technology, Part I. Krieger Publishing Co., 1962.
  2. Agilent Technologies. Determination of ppm levels of water in pure propylene oxide. Application Note A00758, 2011.
  3. Agilent Technologies. Analysis of impurities in propylene oxide. Application Note A00966, 2011.
  4. Agilent Technologies. Propanal in propylene oxide. Application Note A02049, 2011.
  5. Richey WF. Chlorohydrins. In Kirk-Othmer Encyclopedia of Chemical Technology, Vol 6, Wiley, 1994, p 140.
  6. Sternberg JC, Gallaway WS, Jones DTL. The mechanism of response of flame ionization detectors. In Gas Chromatography, Academic Press, 1962, pp 231–267.
  7. Scanlon JT and Willis DE. Calculation of flame ionization detector relative response factors using the effective carbon number concept. Journal of Chromatographic Science, 1985, 23, 333–340.

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