This application note describes the chromatographic separation of various glycerides classes using a 15-minute method by ACQUITY UPLC and Xevo G2 QTof.
With the increase in petroleum prices in recent years, biodiesel is gaining significant interest as an environmentally-friendly substitute since it is renewable and cleaner burning. Biodiesel is produced from renewable sources by transesterification of triglycerides (TG) from fatty acids in vegetable oils, such as canola oil and rapeseed oil, to fatty acid methyl esters (FAME). Biodiesel also has physical and chemical properties similar to conventional petroleum-based diesel; thus it can be used in current diesel cars without the need for modifications.
However, the presence of the original unconverted oil compounds in biodiesel, such as TG, diglycerides (DG), monoglycerides (MG), and glycerine can degrade engine performance due to deposition in the engine, clogging of the filters, fuel deterioration, and the formation of toxic emissions.1-3 It is therefore highly important to develop a sensitive and reliable analytical method in order to monitor and quantify the level of these glycerides classes during the various production stages, especially in the final biodiesel product. Thus for a biodiesel producer, the ideal situation would be to achieve a maximum yield of FAME compounds and minimize the presence of contaminants, such as MG, DG, TG, and glycerine.
Currently, there are several established biodiesel product standards, including ASTM (American Society for Testing and Materials) Standard D6751,4 and European standards EN141055 and EN590,6 that are intended to regulate and limit the presence of these compounds.
Both GC and HPLC have been used to analyze biodiesel and its contaminants. However multiple injections with different experimental conditions are required to characterize these compounds. Tedious derivatization of glycerides is required prior to GC analysis, whereas a long analysis time (30 to 80 minutes) is necessary for conventional HPLC analysis.
This application note describes the chromatographic separation of various glycerides classes using a 15-minute method by ACQUITY UPLC and Xevo G2 QTof.
LC system: |
ACQUITY UPLC |
Runtime: |
15 min |
Column: |
ACQUITY UPLC HSS T3 1.8 μm, 2.1 x 100 mm |
Column temp: |
55 °C |
Mobile phase A: |
Acetonitrile/water (40:60) with 10 mM ammonium acetate |
Mobile phase B: |
Acetonitrile/isopropanol (10:90) with 10 mM ammonium acetate |
Flow rate: |
0.40 mL/min |
Injection volume: |
5 μL PLNO injection |
UPLC gradients are detailed in Table 1 |
MS system: |
Xevo G2 QTof |
Ionization mode: |
ESI+ |
Scan time: |
0.2 s |
Capillary voltage: |
3.2 kV |
Sampling cone: |
35.0 V |
Extraction cone: |
4.0 V |
Source temp: |
120 °C |
Desolvation temp: |
400 °C |
Desolvation gas: |
800 L/hr |
Cone gas: |
20 L/hr |
Mass range: |
50 to 1200 m/z |
MSE conditions |
|
---|---|
Low energy: |
6 V |
High energy ramp: |
20 to 35 V |
Compound: |
Leucine enkephalin |
Mass: |
m/z 556.2771 (MSE); m/z 556.2771, and m/z 278.1141 (MS/MS) |
Capillary voltage: |
3.0 kV |
Collision energy: |
21.0 eV |
A simple five-step analytical workflow was employed to identify compounds present in the biodiesel samples, as shown in Figure 1. The biodiesel sample was diluted 100-fold with acetonitrile prior to analysis with an ACQUITY UPLC System coupled to Xevo G2 QTof MS.
Using the UPLC method described above, chromatographic separation of the different classes of glycerides, including FAME, MG, DG, and TG was achieved, as shown in Figure 2.
All analyses were performed in MSE where molecular data (fragment ion, precursor ion, and neutral losses) were acquired in a single injection using parallel low and high collision energy MS acquisition, where low energy precursor ions and high energy fragment ions were acquired respectively.
Harnessing the high-mass accuracy of the Xevo G2 QTof, molecular formulae of both precursor and fragment ions of the unknown compounds can be determined with greater confidence and precision by the Elemental Composition Software. Elemental composition was performed on the peak with retention time 7.49 min, which consisted of three co-eluting peaks, as shown in Figure 3. Together with a lipids database (www.lipidmaps.org), the possible identities and structures of the compounds can be determined and further evaluated.
Using the structures of the proposed compounds and the MSE data acquired by the Xevo G2 QTof, MassFragment structural elucidation software was used to automatically identify and correlate the proposed product ions. MassFragment automatically identifies product ion fragments using a series of novel, chemically intelligent algorithms. This provided added confidence for the identification of the proposed compound, as shown in Figure 4. The identified compounds derived using this method are listed in Table 2.
Table 2. The retention time, masses, molecular formula, and mass accuracy of each elucidated glyceride obtained using Xevo G2 QTof.
* Me: refers to methyl ester of a fatty acid.
St: Stearidonic acid; Ln: Linolenic acid; L: Linoleic acid; G: Gadoleic acid; P: Palmitic acid; O: Oleic acid; S: Stearic acid; Po: Palmitoleic acid.
+ Refers to the different type of fatty acid bound to the glycerol backbone (C3H5 (OH)3 ).
For LLn, a molecule of linoleic acid and a molecule of linolenic acid is bound to a glycerol backbone.
The identity of several FAME compounds were further confirmed using commercially purchased standards. Methyl ester standards of linolenic acid (MeLn), linoleic acid (MeL), oleic acid (MeO), palmitic acid (MeP), and stearic acid (MeS) were successfully matched with the biodiesel sample using both the retention time and MS/MS spectra. An illustration of this workflow is shown in Figure 5, where the retention time of the MeS standard was identical to the retention time in the biodiesel sample. MS/MS was then performed on these peaks to provide added confidence to the identity of the compound with a retention time of 7.49 min – which was the methyl ester of stearic acid.
Quantification of MeS was further carried out by ion extraction of the MeS peak (299.295 m/z) from the MS data using TargetLynx Application Manager. A calibration curve with a correlation coefficient of 0.99 was observed, as shown in Figure 6. The MeS level in the biodiesel sample was 4.28 mg/mL.
The experimental combination of ACQUITY UPLC and Xevo G2 QTof provides an excellent tool for the separation and identification of the various methyl esters and glycerides classes, such as MG, DG, and TG.
With thanks to Taipower Research Institute (Taiwan) for providing the biodiesel samples.
720004067, August 2011