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Recommended practices Received: 15 December 2015, Accepted: 16 December 2015 Published online in Wiley Online Library (wileyonlinelibrary.com) DOI 10.1002/ffj.3311 IOFI recommended practice for the use of predicted relative-response factors for the rapid quantification of volatile flavouring compounds by GC-FID T. Cachet,* H. Brevard, A. Chaintreau, J. Demyttenaere, L. French, K. Gassenmeier, D. Joulain, T. Koenig, H. Leijs, P. Liddle, G. Loesing, M. Marchant, Ph. Merle, K. Saito, C. Schippa, F. Sekiya and T. Smith Abstract: This recommended practice enables the quantifica chromatography with flame-ionization detection, without ha tion of volatile compounds in flavourings to be made by gas ving authentic compounds available, and also in many cases it can avoid time-consuming calibration procedures. The relative-response factors (RRF) can be predicted from the molecular formula of the compound, and this approach can be applied to compounds containing the atoms C, H, O, N, S, F, Cl, Br, I, and Si, providing that the molecular formula and number of benzene rings in the analytes are known. The purity of chemically- defined flavouring substances or chromatographic standards can also be estimated using these predicted RRF, and this proce- dure can also be used to quantify (poly)hydroxylated compounds, after their derivatization into trimethylsilyl ethers or esters. Copyright © 2016 John Wiley & Sons, Ltd. Additional supporting information may be found in the online version of this article at the publisher’s web site. Keywords: flavourings; quantitative analysis; GC-FID; predicted relative response factors * Correspondence to: Dr. T. Cachet, IOFI, 6 Avenue des Arts, 1210 Brussels, Belgium. E-mail: tcachet@iofiorg.org IOFI (International Organization of the Flavor Industry), Working Group on Methods of Analysis Introduction The Working Group on Methods of Analysis (WGMA) of the International Organization of the Flavor Industry (IOFI) has previously published a recommended practice for the quantitative determination of specific volatile substances in flavourings and other complex mixtures such as essential oils, using gas chromatography with flame-ionization detection (GC-FID).[1] In the scientific literature on flavours, fragrances, and essential oils, the raw percentages of peak areas are often used as such, or in association with that of an internal standard (ISTD), assuming that all response factors are equal to unity - a practical approach but one that has been shown to lead to poor accuracy.[2] On the other hand, quantifying by rigorous methods (internal standardization, internal normalization) is accurate but time- consuming, because it requires the establishment of calibration curves, or the experimental determination of response factors relative to a given ISTD).[1] Even this does not solve the challenge of compounds that are not available in the pure state to be used as standards, or those that are not stable enough to be stored before use for the determination of their relative-response fac- tors (RRF). The present technique enables the quantification of volatile compounds in flavourings to be made by GC-FID, without having authentic compounds available, and also in many cases it can avoid time-consuming calibration procedures. The relative- response factors can be predicted from the molecular formula of Flavour Fragr. J. 2016 Copyright © 2016 John the compound, and this approach can be applied to compounds containing the atoms C, H, O, N, S, F, Cl, Br, I, and Si, providing that the molecular formula and number of benzene rings in the analytes are known. This procedure also makes it possible to quan- tify (poly)hydroxylated compounds, after their derivatization into trimethylsilyl ethers or esters. This technique, described in a number of publications,[2–5] with applications reported in the flavour, fragrance, and other domains,[6–12] can also be used to estimate the purity of chemically-defined flavouring substances or chromatographic standards using these predicted RRF. Principle The flavouring or individual compound (as such or after derivatiza- tion) is injected together with an internal standard, and their responses are corrected using their predicted RRF. The value of the latter is calculated from themolecular formula and the number of benzene rings in the analytes. Wiley & Sons, Ltd. T. Cachet et al. Chemicals Solvent Ethanol, toluene, acetonitrile, ethyl acetate, and methyl pivalate, all of analytical grade, are typical solvents for this determination. Low-boiling solvents (methanol, dichloromethane, pentane, diethyl ether, etc.) yield less accurate results and are not recommended.[3] Internal standard Methyl octanoate (MO), with a purity of 99 % is used as the internal standard (ISTD). Other internal standardsmay be used, if their RRF com- pared to methyl octanoate is accurately determined (see below). Apparatus This technique is applicable with any gas chromatograph equipped with an FID. Injector Use a split/splitless standard injector equipped with a tubular liner. The latter can be empty or may contain a plug of silanized quartz wool. Experience has shown that cup-splitter liners or PTV injectors are not always suitable for this approach, in particular for high molecular-weight compounds. The injector temperature should be 250 °C (this temperature influences the RRF of high-boiling compounds[2]). Inject the samples (1μl) using an autosampler, a 10μl syringe, and a typical split ratio of 1/50 to 1/100. Modifying this ratio may alter the RRF of high-boiling compounds.[2] Detector The FID temperature should be 250 °C, fueled with 40ml/min hydrogen, 450ml/min air, and a make-up of 30ml/min nitrogen. The detector temperature influences the RRF values of high- boiling compounds.[2] Column Typically a bonded apolar or semi-polar column can be used. Polar phases such as polyethylene glycol are also suitable, but the RRF of high-boiling compounds may be modified.[2] Quantification procedure Sample concentration Both the ISTD and the flavouring or individual compound to be quantified are diluted in the solvent at a concentration of below 10%. Lower concentrations do not alter the RRF values, but higher ones do. Oven program Typical conditions for such an analysis with a non-polar column are an initial oven temperature of 50 °C for 5min, then ramp at 3 °C/min up to 120 °C, ramp at 5 °C/min up to 250 °C, and finally ramp at 15 °C up to 300 °C for 20min. Other programs are possible, below the limit of 300 °C (or less depending on the maximum Copyright © 2016 Johnwileyonlinelibrary.com/journal/ffj working temperature of the column, but a lower temperature may alter RRF values). Measurement Inject the diluted sample and determine the areas corresponding to the analyte and the ISTD (Ai and AMO, respectively). Prediction of the RRF The predicted RRF of an analyte RRFi Pred is calculated using its mo- lecular formula: RRFPredi ¼ 103 MWi=MWISTDð Þð�61:3þ 88:8nC þ 18:7nH �41:3nO þ 6:4nN þ 64:0nS � 20:2nF � 23:5nCl þ51:6nBr � 1:75nI þ 39:9nSi þ 127nBenzÞ�1 where nC, nH, nO, etc. are the number of carbon, hydrogen, oxygen, etc. atoms in the compound, nbenz is the number of benzene rings, and MWi and MWISTD are the molecular masses of the analyte and the internal standard, respectively. The calculation can be automated with a spreadsheet, an exam- ple of which is given in the supplementary material for this publi- cation. In the case of most compounds occurring in flavourings, this can of course be simplified to: RRFPredt ¼ 103 MWi=MWISTDð Þð�61:3þ 88:8nC þ 18:7nH � 41:3nO þ6:4nN þ 64:0nS þ 127nBenzÞ�1 The mean accuracy of these predicted RRF is± 6%, as deter- mined using a database of 490 compounds.[3] Quantification Using the mass of ISTD added to the sample (mMO), the peak area of the analyte and the ISTD, respectively (Ai and AMO), and the predicted RRF, determine the mass of the analyte in the sample: mi ¼ RRFPredi mMO Ai AMO Use of other internal standards If anotherISTD, X, is used, the analyte amount can be determined as follows: RRFPredi=X ¼ RRFPredi=MO RRFMeasX=MO Where: RRFPredi=X = the predicted RRF of the substance i relative to X RRFPredi=MO = the predicted RRF of the substance i relative to MO RRFMeasX=MO = the measured RRF of the ISTD X relative to MO The mean RRF of the alternative internal standard X relative to MO (RRFMeasi=MO) has been determined experimentally by 11 laborato- ries for four compounds, with the results shown in Table 1. Note that such a conversion implies a decrease of accuracy. Flavour Fragr. J. 2016Wiley & Sons, Ltd. Table 1. Mean RRF of alternative internal standards Predicted RRF Mean experimental RRF RSD Bias vs. predicted 2-nonanol 0.851 0.861 1.5% 3.0% tetralin 0.709 0.702 1.5% 3.5% 1,4-dibromobenzene 1.919 1.924 1.2% -0.5% undecanol 0.825 0.826 2.9% -0.4% Table 2. Quantification of a model mixture by 10 laboratories (all constituents in the range of 100-1000mg/kg). Compound RSD Bias isoamyl acetate 5.8% 2.0% 1,8-cineole 3.7% 8.9% linalol 3.0% 4.2% 4-methylacetophenone 3.2% 4.9% anisaldehyde 5.1% -4.5% citronnelol 4.5% 1.8% eugenol 6.2% 0.0% coumarin 8.6% 1.9% ethyl decanoate 4.7% 2.6% beta-caryophyllene 5.2% 8.2% methyl isoeugenol 6.9% -3.9% pentadecane 4.6% 5.6% Hedione®=Methyl dihydrojasmonate (2 isomers) 9.9% -4.4% IOFI recommended practice - use of predicted relative-response factors Purity estimation Quick procedure The purity Pi of a chemically-defined flavouring substance or a chromatographic standard can be estimated, without having the pure reference compound available, and without knowing the identity of impurities. Apparent RRF determination Determine the apparent RRF of i by weighing a massmi of the sub- stance of unknown purity (mi ¼ m′i þmx, wherem′i, andmx are the unknown masses of the pure substance and any impurities, respectively): RRFappi ¼ miAMO mMOAi Purity estimate Calculate the purity as the ratio of the predicted to the apparent RRF value: Pi ¼ RRF Pred i RRFappi where RRFPredi is calculated as above: Table 3. Quantification of a lime essential oil by 10 laborato- ries; concentrations are expressed as the mean percentage in the oil Compound Mean RSD Mean RSD alpha-pinene 1.48% 5.0% camphene 0.71% 8.8% 0.70% a 7.2% a beta-pinene 2.70% 4.2% myrcene 1.56% 3.6% 1,4-cineole 1.90% 3.7% alpha-terpinene 2.37% 3.5% limonene 49.52% 4.0% gamma-terpinene 12.32% 3.4% terpinolene 9.87% 2.9% alpha-fenchol 0.76% 5.3% terpinen-1-ol 1.06% 4.0% b b Full procedure This procedure requires that all impurities are detectable in the course of the GC analysis (i.e. absence of any non-volatiles) and that all of them are identified. Quantification of all constituents The amounts of the target compound and all its impurities are determined according to the quantification procedure above. Purity The purity is then estimated as the ratio of the target-compound amount to the sum of all constituent amounts: Pi ¼ mi∑mi (E)-beta-terpineol 0.86% 12.9% 0.80% 7.8% terpinen-4-ol 0.85% 10.9% 0.88% b 2.8% b alpha-terpineol 9.57% 2.7% gamma-terpineol 1.30% 4.0% decanal 0.14% 20.9% neral 0.28% 9.8% geranial 0.39% 8.8% caryophyllene 0.50% 6.1% alpha-bergamotene 0.51% 6.2% awithout one outlier bwithout three outliers exhibiting a co-elution Trimethylsilyl derivatives Just before the derivatization procedure, prepare two solutions at 0.5g/kg (exactly weighed) in moisture-free pyridine, one with the ISTD (methyl octanoate), the second one with the compound to be derivatized. In another vial, mix 0.6mL of the latter plus 0.4mL of pyridine (both exactly weighed), and 200μL of BSTFA/1% TMCS. Seal the vial, and maintain it at 50 °C for 1 h. Cool down at room tempera- ture and add 0.6mL (exactly weighed) of the ISTD solution. After mixing, inject 1μL of this solution in the GC-FID instrument. Flavour Fragr. J. 2016 Copyright © 2016 John Wiley & Sons, Ltd. wileyonlinelibrary.com/journal/ffj T. Cachet et al. Reproducibility Model mixture Table 2 shows the results for the quantification of a model mixture by 10 laboratories (all constituents were in the range of 100-1000mg/kg). Lime essential oil Table 3 shows the results for the quantification of a lime essential oil by 10 laboratories. Down to a concentration of 1% in the oil (≈1 ng in the detector), the precision, expressed as the RSD, is better than 5%, and better than 10% down to a concentration of 0.5%. The precision decrease as a function of the concentration is mainly due to chromatographic reasons (co-elutions, active col- umn sites, integration accuracy, etc.). The use of experimentally-determined RRF clearly remains the most accurate means whenever pure authentic standards are available. However, when this is not the case, or when a complex multi-component mixture makes the experimental RRF measure- ment too time-consuming, the predicted RRF are a valid alterna- tive, with a mean accuracy of 6.0%.[3] Acknowledgements We gratefully acknowledge the contribution of Esméralda Cicchetti, of Cosmo Ingredients International, for her participation in the inter- laboratory reproducibility tests of this recommended practice. References 1. International Organization of the Flavor Industry, Flavour Fragr. J. 2011, 26, 297; available online at http://onlinelibrary.wiley.com/doi/10.1002/ ffj.2061/pdf [14 December 2015]. 2. E. Cicchetti, P. Merle, A. Chaintreau. Flavour Fragr. J. 2008, 23, 450. 3. J.-Y. de Saint Laumer, S. Rochat, E. Tissot, L. Baroux, D. M. Kaempf, P. Merle, A. Boschung, M. Seyfried, A. Chaintreau. J. Sep. Sci. 2015, 38, 3209. 4. J.-Y. de Saint Laumer, E. Cicchetti, P. Merle, J. Egger, A. Chaintreau. Anal. Chem. 2010, 82, 6457. Copyright © 2016 Johnwileyonlinelibrary.com/journal/ffj 5. E. Tissot, S. Rochat, C. Debonneville, A. Chaintreau. Flavour Fragr. J. 2012, 27, 290. 6. F.Mehl, G.Marti, J. Boccard, B. Debrus, P.Merle, E. Delort, L. Baroux, V. Raymo, M.-I. Velazco, H. Sommer, J.-L. Wolfender. Food Chem. 2014, 143, 325. 7. E. Delort, A. Jaquier, C. Chapuis, M. Rubin, C. Starkenmann. J. Agric. Food Chem. 2012, 60, 11681. 8. J.-J. Filippi, E. Belhassen, N. Baldovini, H. Brevard, U. J. Meierhenrich. J. Chromatogr. A 2013, 1288, 127. 9. R. Olcese, V. Carre, F. Aubriet, A. Dufour. Energy Fuel 2013, 27, 2135. 10. R. N. Olcese, N. Lardier, M. Bettahar, J. Ghanbaja, S. Fontana, V. Carré, F. Aubriet, D. Petitjean, A. Dufour. ChemSusChem 2014, 6, 1490. 11. D. L. Dalluge, T. Daugaard, P. Johnston, N. Kuzhiyil, M. Wright, C. Brown. Green Chem. 2014, 16, 4144. 12. U. Neuenschwander, A. Negron, K. F. Jensen. J. Phys.Chem. 2013, 117, 4343. Supporting information Additional supporting information may be found in the online version of this article at the publisher’s web site. Glossary of terms Symbol Meaning Ai area of the compound i to be quantified AMO area of methyl octanoate ISTD internal standard mi mass of the compound i to be quantified MO methyl octanoate; mMO mass of methyl octanoate Pi purity of compound i RRF relative-response factor RRFAppi apparent RRF of compound i (assuming it is 100% pure) RRFMeasX=MO measured response factor of internal standard X relative to methyl octanoate RRFi Pred predicted relative response factor of compound i RRFPredi=X predicted response factor of compound i relative to the internal standard X RRFPredi=MO predicted response factor of compound i relative to methyl octanoate RSD relative standard deviation Flavour Fragr. J. 2016Wiley & Sons, Ltd. http://onlinelibrary.wiley.com/doi/10.1002/ffj.2061/pdf http://onlinelibrary.wiley.com/doi/10.1002/ffj.2061/pdf
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