The effects of principal extraction conditions on the extraction rates of 10 selected volatile compounds (isoamyl alcohol, ethyl lactate, 2-nonanone, ethyl octanoate, 2-ethyl-1-hexanol, butanoic acid, phenethyl alcohol, phenol, δ-decalactone, and decanoic acid) with the headspace solid-phase microextraction (SPME) method for the analysis of white-brined cheese with two different fibers (CAR/PDMS and DVB/CAR/PDMS) were investigated. Optimum conditions were determined by using response surface methodology (RSM). Results showed that boiling points of volatile compounds significantly affected the effectivity of fibers. CAR/PDMS fiber was more suitable in isolation of the volatile compounds with low boiling point and suggested to be used in the SPME analysis of volatile compounds in white-brined cheese. The optimum condition for CAR/PDMS fiber was found to be as 56.20 °C, 84.92 min, and 549 min−1, for extraction temperature, time, and agitation speed, whereas it was calculated to be as 54.75 °C, 85.60 min, and 250 min−1 for DVB/CAR/PDMS fiber, respectively.
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This work was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) [project no 115O229]. The authors would like to thank the reviewers due to their valuable and constructive comments, which have been utilized to improve the quality of the paper.
Compliance with Ethical Stadards
This article does not contain any studies with human or animal subjects.
Conflict of Interest
Pelin Salum declares that she has no conflict of interest. Zafer Erbay declares that he has no conflict of interest. Hasim Kelebek declares that he has no conflict of interest. Serkan Selli declares that he has no conflict of interest.
Bezerra TKA, Araujo ARR, Arcanjo NMO et al (2016) Optimization of HS-SPME-GC/MS technique for the analysis of volatile compounds in caprine Coalho cheese using response surface methodology. Food Sci Technol 36:103–110Google Scholar
del Mar Caja M, del Castillo MLR, Blanch GP (2011) Solid-phase microextraction to the study of the stability of selected volatile constituents in irradiated Manchego cheese. Food Anal Methods 4:608–613. doi:10.1007/s12161-011-9215-3CrossRefGoogle Scholar
Candioti LV, De Zan MM, Cámara MS, Goicoechea HC (2014) Experimental design and multiple response optimization. Using the desirability function in analytical methods development Talanta 124:123–138Google Scholar
Elmore JS, Mottram DS, Hierro E (2000) Two-fibre solid-phase microextraction combined with gas chromatography—mass spectrometry for the analysis of volatile aroma compounds in cooked pork. J Chromatogr A 905:233–240. doi:10.1016/S0021-9673(00)00990-0CrossRefGoogle Scholar
Erbay Z, Icier F (2009a) Optimization of hot air drying of olive leaves using response surface methodology. J Food Eng 91:533–541CrossRefGoogle Scholar
Januszkiewicz J, Sabik H, Azarnia S, Lee B (2008) Optimization of headspace solid-phase microextraction for the analysis of specific flavors in enzyme modified and natural Cheddar cheese using factorial design and response surface methodology. J Chromatogr A 1195:16–24. doi:10.1016/j.chroma.2008.04.067CrossRefGoogle Scholar
Kataoka H, Lord HL, Pawilszyn J (2000) Applications of solid-phase microextraction in food analysis. J Chromatogr A 880:35–62CrossRefGoogle Scholar
Lecanu L, Ducruet V, Jouquand C et al (2002) Optimization of headspace solid-phase microextraction (SPME) for the odor analysis of surface-ripened cheese. J Agric Food Chem 50:3810–3817CrossRefGoogle Scholar
Lee J-H, Diono R, Kim G-Y, Min DB (2003) Optimization of solid phase microextraction analysis for the headspace volatile compounds of Parmesan cheese. J Agric Food Chem 51:1136–1140. doi:10.1021/jf025910+CrossRefGoogle Scholar
Montgomery DC (2001) Design and analysis of experiments, fifth edn. John Wiley and Sons, New YorkGoogle Scholar
Myers RH, Montgomery DC (2002) Response surface methodology: process and product optimization using designed experiments, second edn. John Wiley and Sons, New YorkGoogle Scholar
Özer B, Kirmaci HA, Hayaloglu AA et al (2011) The effects of incorporating wild-type strains of Lactococcus lactis into Turkish white-brined cheese (Beyaz peynir) on the fatty acid and volatile content. Int J Dairy Technol 64:494–501. doi:10.1111/j.1471-0307.2011.00683.xCrossRefGoogle Scholar
Pérès C, Viallon C, Berdagué JL (2001) Solid-phase microextraction-mass spectrometry: a new approach to the rapid characterization of cheeses. Anal Chem 73:1030–1036. doi:10.1021/ac001146jCrossRefGoogle Scholar
Pinho O, Ferreira IMPLVO, Casal S et al (2001) Method optimization for analysis of the volatile fraction of ewe cheese by solid-phase microextraction. Chromatographia 53:S390–S393CrossRefGoogle Scholar
Rodriguez-Bencomo JJ, Munoz-Gonzalez C, Martin-Alvarez PJ et al (2012) Optimization of a HS-SPME-GC-MS procedure for beer volatile profiling using response surface methodology: application to follow aroma stability of beers under different storage conditions. Food Anal Methods 5:1386–1397. doi:10.1007/s12161-012-9390-xCrossRefGoogle Scholar
Ruíz-García Y, Pino JA, Lami L, Martínez-Pérez Y (2015) Development and validation of a solid-phase microextraction method for the determination of total flavouring content in encapsulated flavouring. Food Anal Methods 8:2228–2234. doi:10.1007/s12161-015-0093-yCrossRefGoogle Scholar
Sadoughi N, Schmidtke LM, Antalick G et al (2015) Gas chromatography-mass spectrometry method optimized using response surface modeling for the quantitation of fungal off-flavors in grapes and wine. J Agric Food Chem 63:2877–2885. doi:10.1021/jf505444rCrossRefGoogle Scholar
Sahingil D, Hayaloglu AA, Simsek O, Ozer B (2014) Changes in volatile composition, proteolysis and textural and sensory properties of white-brined cheese: effects of ripening temperature and adjunct culture. Dairy Sci Technol 94:603–623. doi:10.1007/s13594-014-0185-2CrossRefGoogle Scholar
Thomsen M, Gourrat K, Thomas-Danguin T, Guichard E (2014) Multivariate approach to reveal relationships between sensory perception of cheeses and aroma profile obtained with different extraction methods. Food Res Int 62:561–571. doi:10.1016/j.foodres.2014.03.068CrossRefGoogle Scholar
Trujillo-Rodríguez MJ, Yu H, Cole WTS et al (2014) Polymeric ionic liquid coatings versus commercial solid-phase microextraction coatings for the determination of volatile compounds in cheeses. Talanta 121:153–162. doi:10.1016/j.talanta.2013.12.046CrossRefGoogle Scholar
Urgeghe PP, Piga C, Addis M et al (2012) SPME / GC-MS characterization of the volatile fraction of an Italian PDO sheep cheese to prevalent lypolitic ripening: the case of Fiore Sardo. Food Anal Methods 5:723–730. doi:10.1007/s12161-011-9302-5CrossRefGoogle Scholar
Vas G, Vekey K (2004) Solid-phase microextraction: a powerful sample preparation tool prior to mass spectrometric analysis. J Mass Spectrom 39:233–254. doi:10.1002/jms.606CrossRefGoogle Scholar
Vazquez-Landaverde PA, Velazquez G, Torres JA, Qian MC (2005) Quantitative determination of thermally derived off-flavor compounds in milk using solid-phase microextraction and gas chromatography. J Dairy Sci 88:3764–3772. doi:10.3168/jds.S0022-0302(05)73062-9CrossRefGoogle Scholar
Zhang Y, Gao B, Zhang M et al (2009) Headspace solid-phase microextraction-gas chromatography-mass spectrometry analysis of the volatile components of longan (Dimocarpus longan Lour). Eur Food Res Technol 229:457–465. doi:10.1007/s00217-009-1076-2CrossRefGoogle Scholar