Development of a rapid "fingerprinting" system for wine authenticity by mid-infrared spectroscopy

Journal of Agricultural and Food Chemistry

Volumn 54, Issue 26, 2006, Pages 9713-9718

  Bevin, Christopher J ^a   Fergusson, Allison J ^a   Perry, Wade B ^a   Janik, Leslie J ^b   Cozzolino, Daniel ^b  

^a Hardy Wine Company   (Australia)

^b AUSTRALIAN WINE RESEARCH INSTITUTE   (Australia)

Author keywords

Classification; Fingerprinting; Mid infrared; MIR; Red wine; Similarity index

Indexed keywords

ARTICLE; AUSTRALIA; CLASSIFICATION; INFRARED SPECTROPHOTOMETRY; QUALITY CONTROL; WINE;

AUSTRALIA; QUALITY CONTROL; SPECTROPHOTOMETRY, INFRARED; WINE;

EID: 33846472703     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf062265o     Document Type: Article

References (23)

1. Somers, T. C.; Evans, M. E. Wine quality: correlations with color density and anthocyanin equilibrium in a group of young red wines. J. Sci. Food Agric. 1974, 25, 1369-1379.
2. Somers, C. The wine spectrum; Winetitles: Adelaide, Australia, 1998; 136 pp.
3. Bakeev, K. A. Process Analytical Technology; Blackwell Publishing: Oxford, U.K., 2005; 451 pp.
4. Francis, I. L.; Høj, P. B.; Dambergs, R. G.; Gishen, M.; de Barros Lopes, M. A.; Pretorius, I. S.; Godden, P. W.; Henschke, P. A.; Herderich, M. J.; Waters, E. J. Objective measures of grape quality - are they achievable? In Proceedings 12th Australian Wine Industry Technical Conference; Australian Wine Industry Technical Conference Inc. Australia, 2005, pp 85-90.
5. Munck, L.; Norgaard, L.; Engelsen, S. B.; Bro, R.; Andersson, C. A. Chemometrics in food science: a demonstration of the feasibility of a highly exploratory, inductive evaluation strategy of fundamental scientific significance. Chemom. Intell. Lab. Syst. 1998, 44, 31-60.
6. Otto, M. Chemometrics: Statistics and Computer Application in Analytical Chemistry; Wiley-VCH: Chichester, U.K., 1999; 314 pp.
7. Kelly, J. F. D.; Downey, G. Detection of sugar adulterants in apple juice using Fourier transform infrared spectroscopy and chemometrics. J. Agric. Food Chem. 2005, 53 (9), 3281-3286.
8. Murray, I.; Kaffka, K. J.; Sergely, Z. S. PQS detects adulteration of fishmeal with meat and bone meal - a contribution to help eradicate "Mad Cow Disease". In Near Infrared Spectroscopy: Proceedings of the 11th International Conference; Davies, A. M. C., Garrido-Varo, A., Eds.; NIR Publications: West Sussex, U.K., 2004; pp 641-645.
9. Gergely, S.; Farkas, K.; Forgács, A.; Salgó, A. Quantitative and qualitative differentiation of alcoholic beverages by near infrared spectroscopy. In Near Infrared Spectroscopy: Proceedings of the 11th International Conference; Davies, A.M.C., Garrido-Varo, A., Eds.; NIR Publications: West Sussex, U.K., 2004; pp 569-572.
10. Nieuwoudt, H. H.; Prior, B. A.; Pretorius, I. S.; Manley, M.; Bauer, F. F. Principal component analysis applied to Fourier transform infrared spectroscopy for the design of calibration sets for glycerol prediction models in wine and for the detection and classification of outlier samples. J. Agric. Food Chem. 2004, 52 (12), 3726-3735.
11. Cordella, C.; Moussa, I.; Martel, A. C.; Sbirrazzuoli, N.; Lizzani-Cuvelier, L. Recent developments in food characterization and adulteration detection: technique-oriented perspectives. J. Agric. Food Chem. 2002, 50 (7), 1751-1764.
12. Downey, G. Qualitative analysis in the near infrared region. Analyst 1994, 119, 2367-2375.
13. Cozzolino, D.; Smyth, H. E.; Gishen, M. Feasibility study on the use of visible and near infrared spectroscopy to discriminate between white wine of different varietal origin. J. Agric. Food Chem. 2003, 51 (26), 7703-7708.
14. Mark, H. Qualitative Analysis. In Near-Infrared Technology in the Agricultural and Food Industries, 2nd ed.; Williams, P. C., Norris, K. H., Eds.; American Association of Cereal Chemists: St. Paul, MN, 2001; pp 233-238.
15. Mark, H. L.; Tunnell, D. Qualitative near infrared reflectance analysis using Mahalanobis distances. Anal. Chem. 1985, 57 (7), 1449-1456.
16. Bertran, E.; Blanco, M.; Coello, J.; Iturriaga, H.; Maspoch, S.; Montoliu, I. Near infrared spectrometry and pattern recognition as screening methods for the authentication of virgin olive oils of very close geographical origins. J. Near Infrared Spectrosc. 2000, 8, 45-52.
17. Coene, M. P. D.; Grinter, R.; Davies, A. M. C. The use of quadratic regression in qualitative near infrared and visible spectroscopic analysis. J. Near Infrared Spectrosc. 1996, 4, 153-161.
18. Anon. WineScan™ FT 120 Type 77110 and 77310 Reference Manual; Foss Electric; Hillerød, Denmark, 2002; 130 pp.
19. Martens, H.; Naes, T. Multivariate Calibration; John Wiley and Sons: New York, 1989; 419 pp.
20. Naes, T.; Isaksson, T.; Fearn, T.; Davies, A. M. C. A user-friendly guide to multivariate calibration and classification; NIR Publications: Chichester, U.K., 2000; 344 pp.
21. Davies, A. M. C. Qualitative analysis: is it time to use the quadratic correlation approach? In Near Infrared Spectroscopy: Proceedings of the 11th International Conference; Davies, A. M. C., Garrido-Varo, A., Eds.; NIR Publications: West Sussex, U.K., 2004; pp 237-240.
22. Kaffka, K. J.; Gyarmati, L. S. Investigating the polar qualification system. J. Near Infrared Spectrosc. 1998, 6, 191-200.
23. Stuart, B. Modern Infrared Spectroscopy; John Wiley & Sons: Chichester, U.K., 1996; 180 pp.