GAS CHROMATOGRAPHY ANALYSIS OF BIODIESEL BLENDS
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1 Oxidation Communications 39, No 4-II, (2016) Biological fuels analysis of biodiesel blends GAS CHROMATOGRAPHY ANALYSIS OF BIODIESEL BLENDS Z. MUSTAFA, D. YORDANOV*, R. MILINA University Prof. Dr. Assen Zlatarov Burgas, Organic Campus, Room 323, 1 Prof. Yakimov Street, Burgas, Bulgaria dobromirj@abv.bg ABSTRACT In the present study a method of simultaneous qualitative and quantitative analysis of fatty acid methyl esters (FAME) in biodiesel blends, suitable for FAMEs concentrations higher than 5% (v/v) is proposed and applied for the determination of FAME in diesel blends and in biodiesel. An SLB-IL100 GC column was employed, characterised by a highly polar stationary phase. The proposed method for the analysis was validated in accordance with the requirements of EA-4/02 Expression of the Uncertainty of Measurement in Calibration. Keywords: diesel fuel, biodiesel, biodiesel blends, gas chromatography analysis, fatty acid methyl esters (FAME). AIMS AND BACKGROUND Biofuels, produced from biological materials such as vegetable oils, recycled cooking oils, animal fats and plant and waste products, support local agricultural industries and prevent environmental pollution with unnecessary products. Among the biofuels currently in use is receiving much attention as a renewable and sustainable alternative for automobile engine fuels. It contains no hazardous constituents such a sulphur, nitrogen and polycyclic aromatic compounds and reduces pollutant and greenhouse gas emissions. It can be blended with diesel practically at any proportion and can be used without changes in the existing transport vehicles 1 3. Biodiesel is currently produced in commercial quantities from edible oil feedstock. Although biodiesels from these feedstock contributes to a cleaner environment, other issues should not be ignored such as food prices and social impacts associated with using food-based feedstock. This fact has sparked the research on second-generation * For correspondence. 3324
2 biodiesels (and biofuels in general) from nonedible sources such as castor, microalgae, coffee grounds, etc. 4 9 Biodiesel is a fuel comprised of monoalkyl esters of long-chain fatty acids (FAME). The total ester content in biodiesel can be analysed by EN standard 10. There is no standard method to determine the individual FAMEs in biodiesel. Biodiesel FAMEs can be analysed directly by gas chromatography flame ionisation detector (GC FID) (Refs 11 13), gas chromatography mass spectrometry (GC MS) (Refs 13 15), two-dimensional gas chromatography 16 18, high performance liquid chromatography 19. Usually biodiesel is used mixed with petroleum distillates as blends defined with the abbreviation BX, where X represents the biodiesel percentage (v/v). Biodiesel blends are highly complex and contain not only FAMEs, but many saturated and aromatic hydrocarbons from petroleum. This is why there are few methods reported for the analysis of biodiesel blends, including pre-separation step, limited to a certain percentage of biodiesel as HPLC (Refs 20 22), and comprehensive two-dimensional gas chromatography 16,23,24. The complexity and duration of the procedures, and the high price prompted scientists to work on creating easier and faster methods for determining biodiesel in blends with diesel fuel. The aim of the present study is to develop a method of simultaneous qualitative and quantitative analysis of FAME in biodiesel blends, suitable for FAMEs concentrations higher than 5% (v/v) and determination of FAME in diesel blends and in biodiesel. EXPERIMENTAL Materials. The diesel sample was delivered from the refinery LUKOIL Neftohim Burgas (Burgas, Bulgaria). Biodiesel fuels used were: Certified Reference Material (CRM) В100, purchased from SPEX CertiPrep UK; Certified Reference Material FAME Mix Rapeseed oil, from Sigma-Aldrich; Commercial biodiesel kindly supplied from Astra Bioplant, Bulgaria; Standard Reference Material (SRM 2772) B100 Biodiesel (Soy-Based), purchased from National Institute of Standards and Technology USA; Certified reference materials: Methyl heptadecanoate (C17:0) purchased from Spex CertiPrep; F.A.M.E. Mix Standard Rapeseed oil (cat No 18917) from Supelco; Fatty acid methyl esters myristate (C14:0), palmitate (C16:0), palmitoleate (C16:1), stearate (C18:0), oleate (C18:1), linoleate (C18:2), linolenate (C18:3), arachidate (C20:0), cis-11-eicosenoate (C20:1), behenate (C22:0), cis-13-docosanoate (C22:1), tetracosanoate (C24:0), cis-15-tetracosanoate (C24:1) from Sigma-Aldrich. Reagents of recognised analytical grade were used. Biodiesel blends were prepared by adding of biodiesel in diesel fuel at concentrations 5, 7, 10, 15 and 20% (v/v) and internal standard (C17:0). 3325
3 Gas chromatography. GC analyses were performed on a GC system Agilent Technologies 7890A equipped with FID, split/splitless injector and Agilent 7693A automated liquid sampler. Helium was used as a carrier gas, column flow was 1.5 ml/min. Hydrogen and air flows were set to 40 and 400 ml/min, respectively, makeup gas (nitrogen) 40 ml/min. The injection volume was 1 µl and split ratio was 1:80. The temperatures of the injector and the detector were 250 and 300 ºC, respectively. The fussed silica capillary columns used were: 1. HP-INNOWAX, 30 m 0.32 mm ID and 0.25 µm film (Agilent Technologies). The temperature program was: mode a 210ºC, 9 min, and then to 230ºC at 20ºC/ min and hold 10 min, and mode b 50ºС, 3ºС/min, 210ºC, 10 min. 2. SLB-IL100, 30 m 0.25 mm ID and 0.20 µm film (Supelco) at a temperature program 50ºС, 3ºС/min, 210ºC, 10 min. ChemStation for GC (Agilent Technologies) was used for instrumental control, data acquisition and data analysis. RESULTS AND DISCUSSION ANALYSIS OF STANDARD FAME SOLUTIONS AND BIODIESEL Polyethylene glycol stationary phases have most frequently used for analysis of fatty acids methyl esters in lipid matrices. Such a phase is used in the standard method EN We modified this method to apply not only for the determination of total FAME content, but of the individual FAMEs, too. Ionic liquids have been widely used as solvents in organic synthesis and catalysis. In recent years increased efforts to use ionic liquids as GC stationary phases. The reasons for the latter are the low volatility, high thermal stability, excellent selectivity towards specific chemical classes and good wetting abilities on the inner wall of fused silica capillaries. Both columns SLB-IL100 (ionic liquid phase) and HP-INNOWAX (polyethylene glycol phase) were investigated and compared at several GC conditions (ideal for each column and under the same conditions) to establish the best resolution and correct quantitative analysis of biodiesel and blends. For this purpose certified mixtures of FAME and reference biodiesel fuels from different raw material were used. Some of the chromatograms obtained are shown in Figs 1 3. It is seen that there is a good resolution of all components on both columns in both modes. 3326
4 Fig. 1. GC of rapeseed biodiesel on the INOWAX column, mode a Fig. 2. GC of rapeseed biodiesel on the INOWAX column, mode b 3327
5 Fig. 3. GC of rapeseed biodiesel on the SLB-IL 100 column Validation of the GC method on both columns for analysis of pure biodiesel was performed with respect to the retention time (t R ) and the concentration of the individual FAMEs at n = 10. The accuracy and precision, expressed by the standard deviation (SD), relative standard deviation (RSD) and extended uncertainty (U) (Tables 1 and 2) of the method of quantitative analysis of pure biodiesel were calculated and compared with the certified values. It can be seen a good correspondence between the calculated and certified precision characteristics, which confirms suitability of the method for qualitative and quantitative analysis of pure biodiesel. 3328
6 Table 1. Precision and accuracy of the FAME retention times and concentrations (GC column HP IN- NOWAX (210ºC, 9 min, 10ºС/min, 230 ºC, 10 min)) FAME Retention time (min) Concentration (%) From certificate of analysis t R (min) SD (min) RSD (%) C (w.%) SD (w.%) RSD (%) concentration (w.%) SD (w.%) RSD (%) C14: C16: C18: C18: C18: C18: C20: C20: C22: C22: C24: Table 2. Precision and accuracy of the FAME retention times and concentrations (GC column SLB- IL100 (50ºС, 3ºС/min, 210ºC, 10 min)) FAME Retention time (min) Concentration (%) t R (min) SD (min) RSD (%) certified measured average average concentration (%) tion concentra- (%) calculated SD (%) calculated RSD (%) certified calculated uncertainttainty uncer- U SRM (%) U (%) C14: C16: C16: C18: C18: C18: C18: , C20: C20: ANALYSIS OF BIODIESEL BLENDS To establish appropriate conditions for the analysis of blends, samples of diesel fuel, pure biodiesel from different raw material and their blends were tested. Some of chromatograms on both GC columns are shown in Figs 4 6. Figure 4 is the chromatogram of the rapeseed B10 biodiesel blend according to the method EN It is observed there is no separation between any of the components of diesel and pure biodiesel, so that the standardised method can not be applied to the qualitative 3329
7 and quantitative analysis of biodiesel blends. The chromatogram at mode b (Fig. 5) shows better separation, but still some of the main FAME components, irrespective of the raw material, namely, C14: 0, C16: 0, C18: 0 and C18: 2 are coeluted with some diesel alkanes. The possibility of complete separation of the methyl esters of diesel hydrocarbons achieved on the on SLB-IL 100 column (Fig. 6) gives reason IL polar phase to be applied for quantitative analysis of biodiesel blends. Besides the high resolution, the column SLB-IL 100 has another advantage over INNOWAX: analysis time is less (Table 2). Fig. 4. GC of rapeseed B10 biodiesel blend on the INOWAX column, mode a 3330
8 Fig. 5. GC of rapeseed B10 biodiesel blend on the INOWAX column, mode b Fig. 6. GC of rapeseed B10 biodiesel blend on the SLB-IL100 column To determine of the total amount (%, v/v) of biodiesel, added to diesel, a fourpoint calibration curve was constructed using B5, B10, B15 and B20 blends. The ratio between the total corrected area of FAMEs and the corrected area of C17:0 (Internal 3331
9 standard), was plotted versus the total content (%, v/v) of FAMEs in the blends. An R 2 value of was obtained. The parameters for validation were calculated using two blends: B2 and B7 (n = 6). The results are shown in Table 3. It is seen that the precision of the method expressed by SD and RSD was very good and ranges from 0.03 to 0.04% (v/v) for SD and 1.54 to 0.58% for RSD. The accuracy expressed by the extended uncertainty was 0.06 to 0.08% (v/v). It is seen also that the maximum difference between the two determinations is 0.10% (v/v), while for method EN is 0.30% (v/v), i.e. the repeatability of the chromatographic method is better. Table 3. Precision and accuracy of the GC method of determination of total FAME content in blends (SLB-IL100 GC column) Added Measured (%) (%) x SD RSD U The main advantage of the proposed method is the possibility to determine the FAME profile of biodiesel in the blend. The method was validated in terms of retention time and concentration of the individual FAME in blends (n = 10). Rapeseed and soya B10 biodiesel blends were used. The results are reported in Tables 4 and 5. The added and measured concentrations coincide within the repeatability of the method. Table 4. Validation parameters of the analysis of individual FAMEs in blends (SLB-IL100 GC column) FAME (rapeseed B10 blend) Retention time (min) Concentration (%) t R SD (min) RSD (%) C SD (%) RSD (%) U C16: C18: C18: C18: C18: Table 5. Average FAMEs concentration (%) in blends of soybean biodiesel in diesel fuel oil (SLB-IL100 GC column) FAME B5 B7 B10 B15 added measured added measured added measured added measured C16: C18: C18: C18: C18:
10 The developed method was applied to analysis of biodiesel from SCG and blends. The chromatograms received are shown in Figs 7 and 8. As can be seen, the resolution between the individual FAMEs in the biodiesel and the blend is good enough to be used for investigations of those fuels. Fig. 7. GC of SCG biodiesel on the SLB-IL 100 column Fig. 8. GC of SCG B7 biodiesel blend on the SLB-IL100 column 3333
11 CONCLUSIONS 1. In the present study a method of simultaneous qualitative and quantitative analysis of FAME in biodiesel blends, suitable for FAMEs concentrations higher than 5% (v/v) is developed and applied for the determination of FAME in diesel blends and in biodiesel. 2. The main advantage of the proposed method is the possibility to determine the FAME profile of biodiesel in the blend. 3. The proposed method for the analysis was validated in accordance with the requirements of EA-4/02 Expression of the Uncertainty of Measurement in Calibration 25. REFERENCES 1. S. P. SINGH, DIPTI SINGH: Biodiesel Production through the Use of Different Sources and Characterization of Oils and Their Esters as the Substitute of Diesel: a Review. Renew Sust Energ Rev, 14, 200 (2010). 2. M. BALAT: Potential Alternatives to Edible Oils for Biodiesel Production a Review of Current Work. Energ Convers Manage, 52, 1479 (2011). 3. T. T. MOLNAR, V. T. FURMAN, I. IVANISEVIC, A. M. KURJAKOV, A. D. SEDLAR, R. D. MICIC, M. D. TOMIC: Biodiesel Production from Degraded Vegetable Oils Experimental Study with Supercritical Methanol. Oxid Commun, 39 (3), 2641 (2016). 4. S. N. NAIK, V. V. GOUD, P. K. ROUT, A. K. DALAI: Production of First and Second Generation Biofuels: a Comprehensive Review. Renew Sust Energ Rev, 14, 578 (2010). 5. M. M. GUI, K. T. LEE, S. BHATIA: Feasibility of Edible Oil vs. Non-edible Oil vs. Waste Edible Oil as Biodiesel Feedstock. Energy, 33, 1646 (2008). 6. A. R. ZARUBICA, D. MILICEVIC, A. LJ. BOJIC, R. B. LJUPKOVIC, M. TRAJKOVIC, N. I. STOJKOVIC, M. M. MARINKOVIC. Solid Base-catalysed Transesterification of Sunflower Oil. An Essential Oxidation State/Composition of CaO-based Catalyst and Optimisation of Selected Process Parameters. Oxid Commun, 38 (1), 183 (2015). 7. R. SAWANGKEAW, S. NGAMPRASERTSITH: A Review of Lipid-based Biomasses as Feedstocks for Biofuels Production. Renew Sust Energ Rev, 25, 97 (2013). 8. D. YORDANOV, Z. MUSTAFA, R. MILINA, Z. TSONEV. Multi-criteria Optimisation Process of the Oil Extraction from Spent Coffee Ground by Various Solvents. Oxid Commun, 39 (2), 1478 (2016). 9. Z. Al-HAMAMRE, S. FOERSTER, F. HARTMANN, M. KRÖGER, M. KALTSCHMITT: Oil Extracted from Spent Coffee Grounds as a Renewable Source for Fatty Acid Methyl Ester Manufacturing. Fuel, 96, 70 (2012). 10. EN 14103: Fat and Oil Derivatives Fatty Acid Methyl Esters (FAME) Determination of Ester and Linolenic Acid Methyl Ester Contents. 11. C. WANG, J. McCURRY: Agilent Techn. Application Note, C. P. PRADOS, D. R. REZENDE, L. R. BATISTA, M. R. ALVES, N. A. FILHO: Simultaneous Gas Chromatographic Analysis of Total Esters, Mono-, Di- and Triacylglycerides and Free and Total Glycerol in Methyl or Ethyl Biodiesel. Fuel, 96, 476 (2012). 13. E. D. DODDS, M. R. MCCOY, L. D. REA, M. KENNISH: Gas Chromatographic Quantification of Fatty Acid Methyl Esters: Flame Ionization Detection vs. Electron Impact Mass Spectrometry. Lipids, 40, 419 (2005). 3334
12 14. R. R. KHOURY, D. EBRAHIMI, L. HEJAZI, M. P. BUCKNALL, R. PICKFORD, D. BRYNN HIBBERT: Degradation of Fatty Acid Esters in Biodiesels Exposed to Sun Light and Seawater. Fuel, 90, 2677 (2011). 15. L. MONDELLO, A. CASILLI, P. TRANCHIDA, R. COSTA, B. CHIOFALO, P. DUGO, G. DUGO: Evaluation of Fast Gas Chromatography and Gas Chromatography Mass Spectrometry in the Analysis of Lipids. J Chromatogr A, 1035, 237 (2004). 16. F. ADAM, F. BERTONCINI, V. COUPARD, N. CHARON, D. THIEBAUT, D. ESPINAT, M. HEN- NION: Using Comprehensive Two-dimensional Gas Chromatography for the Analysis of Oxygenates in Middle Distillates I. Determination of the Nature of Biodiesels Blend in Diesel Fuel. J Chromatogr A, 1186, 236 (2008). 17. S. P. PYL, C. M. SCHIETEKAT, K. M. van GEEM, M. J. REYNIERS, J. BEENS, G. B. MARIN: Rapeseed Oil Methyl Ester Pyrolysis: On-line Product Analysis Using Comprehensive Two-dimensional Gas Chromatography. J Chromatogr A, 1218, 3217 (2011). 18. W. TIYAPONGPATTANA, P. WILAIRAT, P. J. MARRIOTT: Characterization of Biodiesel and Biodiesel Blends Using Comprehensive Two-dimensional Gas Chromatography. J Sep Sci, 31, 2640 (2008). 19. E. BRAVI, G. PERRETTI, L. MONTANARI: Fatty Acids by High-Performance Liquid Chromatography and Evaporative Light-scattering Detector. J Chromatogr A, 1134, 210 (2006). 20. M. KAMINSKI, E. GILGENAST, A. PRZYJAZNY, J. ROMANIK: Procedure for and Results of Simultaneous Determination of Aromatic Hydrocarbons and Fatty Acid Methyl Esters in Diesel Fuels by High Performance Liquid Chromatography. J Chromatogr A, 1122, 153 (2006). 21. T. A. FOGLIA, K. C. JONES, J. G. PHILLIPS: Determination of Biodiesel and Triacylglycerols in Diesel Fuel by LC. Chromatographia, 62, 115 (2005). 22. G. di NICOLA, M. PACETTI, F. POLONARA, G. SANTORI, R. STRYJEK: Development and Optimization of a Method for Analyzing Biodiesel Mixtures with Non Aqueous Reversed Phase Liquid Chromatography. J Chromatogr A, 1190, 120 (2008). 23. J. V. SEELEY, S. K. SEELEY, E. K. LIBBY, J. D. McCURRY: Analysis of Biodiesel/Petroleum Diesel Blends with Comprehensive Two-dimensional Gas Chromatography. J Chromatogr Sci, 45, 650 (2007). 24. W. TIYAPONGPATTANA, P. WILAIRAT, P. J. MARRIOTT: Characterization of Biodiesel and Biodiesel Blends Using Comprehensive Two-dimensional Gas Chromatography. J Sep Sci, 31, 2640 (2008). 25. EA-4/02 M: Expression of the Uncertainty of Measurement in Calibration Received 4 February 2016 Revised 15 March
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