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Compositional Analysis
of Kobashi Essential Oils
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melissa analyisis

Written By Dr. Kevin Brigden
and Scott Ballard

A number of different components can have the same retention time. Similarly, the mass spectra of many components of essential oils are very similar. Using the multiple comparison approach outlined above helps to avoid misidentification that can occur when only one type of library is used. There are numerous examples of erroneous information within published oil composition data where only one type of library was used.

Percent composition

The percent composition figures quoted for each component of an oil are obtained from the mass spectrum detector. There are a number of different types of detector that are commonly used, and they all have slightly difference response factors to a particular component. The percentage figures quoted for each component may vary slightly from those obtained using, for example, a flame-ionisation detector (FID).

Mass spectrum detectors are far more accurate than an FID for component identification, which is why Kobashi use this type of detector for our primary analysis. We are currently analysing all our oils using a FID detector, in addition to the GCMS data we already have. In this way, we will be able to compare the composition of our oils with reported data from either type of detector to a very high degree of accuracy.

Page 2 of testing.

Testing is most important to find Quality.

Hyssop analyisis

Mass Spectrum
HP MS 5972 quadrapole detector,
GC 5890 and Auto Sampler

The main analysis on each oil is carried out using gas-chromatography / mass-spectroscopy (GC-MS). This type of analysis gives information about the individual components of each oil, and their relative amounts. See below for more information.

The physical properties of each oil are also tested to ensure that they are within the expected range for each oil (e.g., density).

GC-MS Analysis

Component identification

The different components of each oil are identified using the following databases;

1.) Comparison of the GC retention time with a retention time library.
a) Comparison of the mass spectrum with the Wiley275.L, Wiley7n.L, and HPCH1607.L mass spectra librarys, containing over 360 000 entries.

) Comparison with pure ‘standards’ for certain- components, especially unwanted contaminants such as phthalates.

2.) Cross-referencing with other oils.

3.) Comparison with published data on each essential oil
4.) Analysis run on quantified library of pesticides to PPT accuracy.

ppm = parts per million

1 ppm = 1/1,000,000 = 0.000001 = 0.0001%
10 ppm = 10/1,000,000 = 0.00001 = 0.001%
100 ppm = 100/1,000,000 = 0.0001 = 0.01%
200 ppm = 200/1,000,000 = 0.0002 = 0.02%
400 ppm = 200/1,000,000 = 0.0002 = 0.04%
1000 ppm = 5000/1,000,000 = 0.005 = 0.1%
2000 ppm = 5000/1,000,000 = 0.005 = 0.2%
10,000 ppm = 10000/1,000,000 = 0.01 = 1.0%
20,000 ppm = 20000/1,000,000 = 0.02 = 2.0%

ppm = parts per million

grams/milliliter = g/ml = milligrams/microliter = mg/ul
1ug /ml = 1mg/l = 1ppm
ppm = ug/g =ug/ml = ng/mg = pg/ug = 10 -6
ppm = mg/litres of water

1 g / 1000ml = 1000 ppm
PPB = Parts per billion = ng/g = ng/ml = pg/mg = 10 -9

understanding essential oils.

Lemon analyisis