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Application of Gas Chromatography-Based Electronic Nose for Classification of Chinese Rice Wine by Wine Age

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Abstract

The potential of a gas chromatography (GC)-based electronic nose (E-nose) combined with chemometrics to classify Chinese rice wine by wine age was investigated. Olfactive fingerprints of 1-, 3-, and 5-year Chinese rice wine samples collected by the E-nose were analyzed by principal component analysis (PCA) and discriminant analysis (DA). Gas chromatography/mass spectrometry (GC/MS) was used for wine age validation purpose. The results indicated that the percentage of samples correctly classified by the E-nose was 96.88 %. It was concluded that the GC-based E-nose together with DA was a reliable method for wine age discrimination.

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References

  • Alcalde-Eon C, Escribano-Bailon MT, Santos-Buelga C, Rivas-Gonzalo JC (2006) Changes in the detailed pigment composition of red wine during maturity and ageing. A comprehensive study. Anal Chim Acta 563(1–2):238–254

    Article  CAS  Google Scholar 

  • Aleixandre M, Lozano J, Gutierrez J, Sayago I, Fernandez MJ, Horrillo MC (2008) Portable e-nose to classify different kinds of wine. Sensors Actuators B Chem 131(1):71–76

    Article  CAS  Google Scholar 

  • Bartlett PN, Elliot JE, Gardner JW (1997) Electronic noses and their application in the food industry. Food Technol 51(12):44–48

    Google Scholar 

  • Bellomarino SA, Parker RM, Conlan XA, Barnett NW, Adams MJ (2010) Partial least squares and principal components analysis of wine vintage by high performance liquid chromatography with chemiluminescence detection. Anal Chim Acta 678(1):34–38

    Article  CAS  Google Scholar 

  • Berna AZ, Trowell S, Cynkar W, Cozzolino D (2008) Comparison of metal oxide-based electronic nose and mass spectrometry-based electronic nose for the prediction of red wine spoilage. Sensors Actuators B Chem 56(9):3238–3244

    CAS  Google Scholar 

  • Berna AZ, Trowell S, Clifford D, Cynkar W, Cozzolino D (2009) Geographical origin of Sauvignon Blanc wines predicted by mass spectrometry and metal oxide based electronic nose. Anal Chim Acta 648(2):146–152

    Article  CAS  Google Scholar 

  • Boido E, Alcalde-Eon C, Carrau F, Dellacassa E, Rivas-Gonzalo JC (2006) Aging effect on the pigment composition and color of Vitis vinifera L. Cv. Tannat wines. Contribution of the main pigment families to wine color. J Agric Food Chem 54(18):6692–6704

    Article  CAS  Google Scholar 

  • Capone S, Tufariello M, Francioso L, Montagna G, Casino F, Leone A, Sicilian P (2013) Aroma analysis by GC/MS and electronic nose dedicated to Negroamaro and Primitivo typical Italian Apulian wines. Sensors Actuators B Chem 179:259–269

    Article  CAS  Google Scholar 

  • Chen S, Xu Y (2010) The influence of yeast strain on the volatile flavor compounds of Chinese rice wine. J Inst Brew 116:190–196

    Article  CAS  Google Scholar 

  • Cozzolino D, Smyth HE, Cynkar W, Dambergs RG, Gishen M (2005) Usefulness of chemometrics and mass spectrometry-based electronic nose to classify Australian white wines by their varietal origin. Talanta 68(2):382–387

    Article  CAS  Google Scholar 

  • Cynkar W, Dambergs R, Smith P, Cozzolino D (2009) Classification of Tempranillo wines according to geographic origin: Combination of mass spectrometry based electronic nose and chemometrics. Anal Chim Acta 660(1–2):227–231

    Google Scholar 

  • Ebeler SE, Spaulding RS (1999) Characterization and measurement of aldehydes in wine. In: Waterhouse AL, Ebeler SE (eds) Chemistry of Wine Flavor. American Chemical Society, Washington, DC, pp 166–179

    Google Scholar 

  • Fan W, Qian MC (2005) Headspace solid phase microextraction and gas chromatography–olfactometry dilution analysis of young and aged Chinese “Yanghe Daqu” liquors. J Agric Food Chem 53(20):7931–7938

    Article  CAS  Google Scholar 

  • Fang F, Li JM, Pan QH, Huang WD (2007) Determination of red wine flavonoids by HPLC and effect of aging. Food Chem 101(1):428–433

    Article  CAS  Google Scholar 

  • Garcia M, Aleixandre M, Gutierrez J, Horrillo MC (2006a) Electronic nose for wine discrimination. Sensors Actuators B Chem 113(2):911–916

    Article  CAS  Google Scholar 

  • Garcia M, Fernandez MJ, Fontecha JL, Lozano J, Santos JP, Aleixandre M, Sayago I, Gutierrez J, Horrillo MC (2006b) Differentiation of red wines using an electronic nose based on surface acoustic wave devices. Talanta 68(4):1162–1165

    Article  CAS  Google Scholar 

  • Hernandez T, Estrella I, Carlavilla D, Martin-Alvarez PJ, Moreno-Arribas MV (2006) Phenolic compounds in red wine subjected to industrial malolactic fermentation and ageing on lees. Anal Chim Acta 563(1–2):116–125

    Article  CAS  Google Scholar 

  • Hernanz D, Gallo V, Recamales AF, Melendez-Martínez AJ, Gonzalez-Miret ML, Heredia FJ (2009) Effect of storage on the phenolic content, volatile composition and colour of white wines from the varieties Zalema and Colombard. Food Chem 113(2):530–537

    Article  CAS  Google Scholar 

  • Jaitz L, Siegl K, Eder R, Rak G, Abranko L, Koellensperger G, Hann S (2010) LC–MS/MS analysis of phenols for classification of red wine according to geographic origin, grape variety and vintage. Food Chem 122(1):366–372

    Article  CAS  Google Scholar 

  • Jelen HH, Majcher M, Dziadas M, Zawirska-Wojtasiak R, Czaczyk K, Wasowicz E (2011) Volatile compounds responsible for aroma of Jutrzenka liquer wine. J Chromatogr A 1218(42):7566–7573

    Article  CAS  Google Scholar 

  • Johnsson L, Dutta PC (2005) Separation of phytosterol oxidation products by combination of different polarity gas chromatography capillary columns. J Chromatogr A 1064(2):213–217

    Article  CAS  Google Scholar 

  • Legin A, Rudnitskaya A, Lvovaa L, Vlaso Y, Natale CD, D’Amico A (2003) Evaluation of Italian wine by the electronic tongue: recognition, quantitative analysis and correlation with human sensory perception. Anal Chim Acta 484(1):33–44

    Article  CAS  Google Scholar 

  • Li J (2001) Sources of color components, aroma components and taste components in yellow rice wine. Liquor Mak Sci Technol 105:48–50

    Google Scholar 

  • Li M, Zhao Y, Zhou S, Xing W (2010) Clarification of raw rice wine by ceramic microfiltration membranes and membrane fouling analysis. Desalination 256(1–3):166–173

    Article  CAS  Google Scholar 

  • Liu F, He Y, Wang L, Pan H (2007) Feasibility of the use of visible and near infrared spectroscopy to assess soluble solids content and pH of rice wines. J Food Eng 83(3):430–435

    Article  CAS  Google Scholar 

  • Lozano J, Santos JP, Horrillo MC (2005) Classification of white wine aromas with an electronic nose. Talanta 67(3):610–616

    Article  CAS  Google Scholar 

  • Lozano J, Santos JP, Gutierrez J, Horrillo MC (2007) Comparative study of sampling systems combined with gas sensors for wine discrimination. Sensors Actuators B Chem 126(2):616–623

    Article  CAS  Google Scholar 

  • Lozano J, Arroyo T, Santos JP, Cabellos JM, Horrillo MC (2008) Electronic nose for wine ageing detection. Sensors Actuators B Chem 133(1):180–186

    Article  CAS  Google Scholar 

  • Luo T, Fan W, Xu Y (2008) Characterization of volatile and semi-volatile compounds in chinese rice wines by headspace solid phase microextraction followed by gas chromatography–mass spectrometry. J Inst Brew 114(2):172–179

    Article  CAS  Google Scholar 

  • Pereira AC, Reis MS, Saraiva PM, Marques JC (2010a) Aroma ageing trends in GC/MS profiles of liqueur wines. Anal Chim Acta 659(1–2):93–101

    Article  CAS  Google Scholar 

  • Pereira AC, Reis MS, Saraiva PM, Marques JC (2010b) Analysis and assessment of Madeira wine ageing over an extended time period through GC–MS and chemome tric analysis. Anal Chim Acta 660(1–2):8–21

    Article  CAS  Google Scholar 

  • Pereira AC, Reis MS, Saraiva PM, Marques JC (2011) Madeira wine ageing prediction based on different analytical techniques: UV–vis, GC-MS, HPLC-DAD. Chemometr Intell Lab 105(1):43–55

    Article  CAS  Google Scholar 

  • Peris M, Escuder-Gilabert L (2009) A 21st century technique for food control: Electronic noses. Anal Chim Acta 638(1):1–15

    Article  CAS  Google Scholar 

  • Ragazzo-Sanchez JA, Chalier P, Chevalier D, Ghommidh C (2006) Electronic nose discrimination of aroma compounds in alcoholised solutions. Sensors Actuators B Chem 114(2):665–673

    Article  CAS  Google Scholar 

  • Ragazzo-Sanchez JA, Chalier P, Chevalier D, Calderon-Santoyo M, Ghommidh C (2008) Identification of different alcoholic beverages by electronic nose coupled to GC. Sensors Actuators B Chem 134(1):43–48

    Article  CAS  Google Scholar 

  • Ragazzo-Sanchez JA, Chalier P, Chevalier-Lucia D, Calderon-Santoyo M, Ghommidh C (2009) Off-flavours detection in alcoholic beverages by electronic nose coupled to GC. Sensors Actuators B Chem 140(1):29–34

    Article  CAS  Google Scholar 

  • Rock F, Barsan N, Weimar U (2008) Electronic nose: current status and future trends. Chem Rev 108(2):705–725

    Article  Google Scholar 

  • Shen F, Ying Y, Li B, Zheng Y, Zhuge Q (2011) Multivariate classification of rice wines according to ageing time and brand based on amino acid profiles. Food Chem 129(2):565–569

    Article  CAS  Google Scholar 

  • Shen F, Li F, Liu D, Xu H, Ying Y, Li B (2012) Ageing status characterization of Chinese rice wines using chemical descriptors combined with multivariate data analysis. Food Control 25(2):458–463

    Article  CAS  Google Scholar 

  • Wang B, Xu S, Sun DW (2010) Application of the electronic nose to the identification of different milk flavorings. Food Res Int 43(1):255–262

    Article  CAS  Google Scholar 

  • Xu R, Bao Z, Pan X, Hu P (2003) Maurtization of Chinese rice wine. Liquor Mak 30:50–52

    CAS  Google Scholar 

  • Yu H, Lin H, Xu H, Ying Y, Li B, Pan X (2008) Prediction of enological parameters and discrimination of rice wine age using least-squares support vector machines and near infrared spectroscopy. J Agric Food Chem 56(2):307–313

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The work was funded by National Natural Science Foundation of China (No. 21105065), Special Funds for National Excellent Doctoral Dissertation of China (No.201059), and Natural Science Foundation of Shanghai (No. 10ZR1429600).

Conflict of Interest

Haiyan Yu declares that she has no conflict of interest. Xin Dai declares that she has no conflict of interest. Guiyan Yao declares that she has no conflict of interest. Zuobing Xiao declares that he has no conflict of interest. This article does not contain any studies with human or animal subjects.

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Correspondence to Haiyan Yu.

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Yu, H., Dai, X., Yao, G. et al. Application of Gas Chromatography-Based Electronic Nose for Classification of Chinese Rice Wine by Wine Age. Food Anal. Methods 7, 1489–1497 (2014). https://doi.org/10.1007/s12161-013-9778-2

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  • DOI: https://doi.org/10.1007/s12161-013-9778-2

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