Identifying Trace Compounds in Eucalyptus

The Eucalyptus Plant

Eucalyptus has a distinct, menthol-like fragrance and it is a popular herb for home remedies. In the garden, it is most often used as an ornamental and it makes a stunning indoor plant.

You may be more familiar with some of the commonly used products that contains extracts of the Eucalyptus such as medicated ointments. Eucalyptus essential oils are also very common and useful throughout your home for everything from cold remedies to aromatherapy.

To find out more about the chemical properties of the Eucalyptus, we run a sample of it through a GC-MS and process the data obtained using ChemoPower’s proprietary software.


The Analysis Result

As Eucalyptus is a natural product, it is understandable that it contains many chemical compounds, with a majority in trace amounts, as indicated by the low abundance in the TIC graph above. This makes it very difficult to find out exactly what the compounds are using conventional methods. However, using ChemoPower’s proprietary software, we can easily identify the individual compounds even at very low concentrations. In all, we found 110 compounds with 100% good match with the NIST library.

Taking the above as an example, (A) shows a co-eluted peak in which 2 chemical compounds are seen to be detect at almost the same time in the TIC graph. Using Agilent’s MassHunter to process this peak returns only 1 result, which is Bornyl acetate, even though there are obviously 2 compounds.

On the other hand, ChemoPower’s software can accurately identify both compounds, (E)-linalool oxide(6) acetate and Bornyl acetate. On closer examination, we can rationalize the reasons why they appear co-eluted in the TIC graph are due to their similar molecular formula and close boiling points. Regardless, they have different medicinal properties and can be used in different areas of application. Hence, it is vital to be able to segregate and identify them individually.



ChemoPower’s software was able to identify 110 compounds, with 100% good match with the NIST library. This is because the estimated MS spectra of these identified compounds generated using our algorithm were very clean and precise. In addition, our algorithm was able to provide good quantification of the estimate concentration of each compound as well. Lastly, in the comparison above, ChemoPower’s software exhibited superior deconvolution capabilities and trace compounds identification as compared to the commonly used software, MassHunter.