Analysis of sugars in Chinese rice wine by Fourier transform near-infrared spectroscopy with partial least-squares regression

Journal of Agricultural and Food Chemistry

Volumn 56, Issue 16, 2008, Pages 7271-7278

  Niu, Xiaoying ^a   Shen, Fei ^a   Yu, Yanfei ^b   Yan, Zhanke ^a   Xu, Kai ^a   Yu, Haiyan ^a   Ying, Yibin ^a  

^a ZHEJIANG UNIVERSITY   (China)

^b Shaoxing Testing Institute of Quality Technical Supervision   (China)

Author keywords

Chinese rice wine; FT NIR; HPAEC PAD; Oligosaccharide; PLSR

Indexed keywords

CARBOHYDRATE; GLUCAN; ISOMALTOSE; ISOMALTOTRIOSE; MALTOSE; PANOSE; TRISACCHARIDE;

ARTICLE; CHINA; INFRARED SPECTROSCOPY; METHODOLOGY; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS; RICE; SENSITIVITY AND SPECIFICITY; WINE;

CARBOHYDRATES; CHINA; GLUCANS; ISOMALTOSE; LEAST-SQUARES ANALYSIS; MALTOSE; ORYZA SATIVA; SENSITIVITY AND SPECIFICITY; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; SPECTROSCOPY, NEAR-INFRARED; TRISACCHARIDES; WINE;

EID: 51649105748     PISSN: 00218561     EISSN: None     Source Type: Journal    
DOI: 10.1021/jf800993e     Document Type: Article

References (42)

1. Wang, J. G.; Xu, L. Features of millet wine and its prospects. Jiangsu Condiment Subsidiary Food. 2005, 22 (6), 5-9.
2. Fan, H. D.; Qiao, D. L. Study for nutritional value of rice wine. J. Northwest Minorities Univ. (Nat. Sci.) 2000, 21 (2), 47-49.
3. Que, F.; Mao, L. C.; Zhu, C. G.; Xie, G. F. Antioxidant properties of Chinese yellow wine, its concentrate and volatiles. Lebensm.-Wiss. Technol. 2006, 39, 111-117.
4. Xie, G. F.; Dai, J.; Zhao, G. A.; Chen, S. W.; Shuai, G. L. Functional oligosaccharides in rice wine and its health function. China Brew. 2005, No. 2, 39-40.
5. Chen, Y.; Fan, K. Q.; Tang, Q. L. Determination of sugars, alcohols and acids in fermented liquors by liquid chromatography. Liquor Making 2006, 33 (1), 73-74.
6. Cataldi, T. R. I.; Nardiello, D. Determination of free proline and monosaccharides in wine samples by high-performance anion-exchange chromatography with pulsed amperometric detection (HPAEC-PAD). J. Agric. Food Chem. 2003, 51, 3737-3742.
7. Morales, V.; Corzo, N.; Sanz, M. L. HPAEC-PAD oligosaccharide analysis to detect adulterations of honey with sugar syrups. Food Chem. 2008, 107, 922-928.
8. Pastore, P.; Lavagnini, I.; Versini, G. Ion chromatographic determination of monosaccharides from trace amounts of glycoside isolated from grape musts. J. Chromatogr. 1993, 634, 47-56.
9. Bernai, J. L.; Del Nozal, M. J.; Toribio, L.; Del Alamo, M. HPLC analysis of carbohydrates in wine and instant coffees using anion exchange chromatography coupled to pulsed amperometric detection. J. Agric. Food Chem. 1996, 44, 507-511.
10. Chen, J.; Arnold, M. A.; Small, G. W. Comparison of combination and first overtone spectral regions for near-infrared calibration models for glucose and other biomolecules in aqueous solutions. Anal. Chem. 2004, 76, 5405-5413.
11. Liu, Y. D.; Ying, Y. B.; Yu, H. Y.; Fu, X. P. Comparison of the HPLC method and FT-NIR analysis for quantification of glucose, fructose, and sucrose in intact apple fruits. J. Agric. Food Chem. 2006, 54, 2810-2815.
12. Rambla, F. J.; Garrigues, S.; de la Guardia, M. PLS-NIR determination of total sugar, glucose, fructose and sucrose in aqueous solutions of fruit juices. Anal. Chim. Acta 1997, 344, 41-53.
13. Qiu, P. Y.; Ding, H. B.; Tang, Y. K.; Xu, R. J. Determination of chemical composition of commercial honey by near-infrared spectroscopy. J. Agric. Food Chem. 1999, 47, 2760-2765.
14. Rodriguez-Saona, L. E.; Fry, F. S.; McLaughlin, M. A.; Calvey, E. M. Rapid analysis of sugars in fruit juices by FT-NIR spectroscopy. Carbohydr. Res. 2001, 336, 63-74.
15. Kawano, S.; Sato, T.; Iwamoto, M. Determination of sugars in Satsuma orange using NIR transmittance. In Proceedings of the Fourth International Conference on NIR Spectroscopy; Murray, I., Ed.; School of Agriculture: Aberdeen, U.K., 1992.
16. Lanza, E.; Li, B. W. Application for near infrared spectroscopy for predicting the sugar contents of fruit juices. J. Food Sci. 1984, 49, 995-998.
17. Giangiacomo, R.; Dull, G. G. Near infrared spectrophotometric determination of individual sugars in aqueous mixtures. J. Food Sci. 1986, 51, 679-683.
18. Reid, L. M.; O'Donnell, C. P.; Downey, G. Recent technological advances for the determination of food aumenticity. Trends Food Sci. Technol. 2006, 17, 344-353.
19. Yu, H. Y.; Ying, Y. B.; Fu, X. P.; Lu, H. S. Quality determination of Chinese rice wine based on fourier transform near infrared spectroscopy. J. Near Infrared Spectrosc. 2006, 14 (1), 37-44.
20. Yu, H. Y.; Xu, H. R.; Ying, Y. B.; Xie, L. J.; Zhou, Y.; Fu, X. P. Prediction of trace metals in Chinese rice wine by Fourier transform near-infrared spectroscopy. Trans. ASABE 2006, 49 (5), 1463-1467.
21. Dambergs, R. G.; Kambouris, A.; Francis, I. L.; Gishen, M. Rapid analysis of methanol in grape-derived distillation products using near-infrared transmission spectroscopy. J. Agric. Food Chem. 2002, 50, 3079-3084.
22. Sauvage, L.; Frank, D.; Stearne, J.; Millikan, M. B. Trace metal studies of selected white wines: an alternative approach. Anal. Chim. Acta 2002, 458, 223-230.
23. Cozzolino, D.; Kwiatkowski, M. J.; Parker, M.; Cynkar, W. U.; Dambergs, R. G.; Gishen, M.; Herderich, M. J. Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy. Anal. Chim. Acta 2004, 513, 73-80.
24. Urbano-Cuadrado, M.; Luque de Castro, M. D.; Perez-Juan, P. M.; Garcia-Olmo, J.; Gomez-Nieto, M. A. Near infrared reflectance spectroscopy and multivariate analysis in enology. Determination or screening of fifteen parameters in different types of wines. Anal. Chim. Acta 2004, 527, 81-88.
25. Urbano-Cuadrado, M.; Luque de Castro, M. D.; Perez-Juan, P. M.; Gomez-Nieto, M. A. Comparison and joint use of near infrared spectroscopy and Fourier transform mid infrared spectroscopy for the determination of wine parameters. Talanta 2005, 66, 218-224.
26. Yano, T.; Aimi, T.; Nakano, Y.; Tamaf, M. Prediction of the concentrations of ethanol and acetic acid in the culture broth of a rice vinegar fermentation using near-infrared spectroscopy. J. Ferment. Bioeng. 1997, 5 (84), 461-465.
27. Saiz-Abajo, M. J.; Gonzalez-Saiz, J. M.; Pizarro, C. Prediction of organic acids and other quality parameters of wine vinegar by near-infrared spectroscopy: a feasibility study. Food Chem. 2006, 99, 615-621.
28. Inon, F. A.; Garrigues, S.; de la Guardia, M. Combination of mid-and near-infrared spectroscopy for the determination of the quality properties of beers. Anal. Chim. Acta 2006, 571, 167-174.
29. Llario, R.; Inon, F. A.; Garrigues, S.; de la Guardia, M. Determination of quality parameters of beers by the use of attenuated total reflectance-Fourier transform infrared spectroscopy. Talanta 2006, 69, 469-480.
30. Blanco, M.; Coello, J.; Iturriaga, H.; Maspoch, S.; Pages, J. NIR calibration in non-linear systems: different PLS approaches and artificial neural networks. Chemom. Intell. Lab. Syst. 2000, 50, 75-82.
31. Han, Q. J.; Wu, H. L.; Cai, C. B.; Xu, L.; Yu, R. Q. An ensemble of Monte Carlo uninformative variable elimination for wavelength selection. Anal. Chim. Acta, in press.
32. Macedo, M. G.; Laporte, M. F.; Lacroix, C. Quantification of exopolysaccharide, lactic acid, and lactose concentrations in culture broth by near-infrared spectroscopy. J. Agric. Food Chem. 2002, 50 (7), 1774-1779.
33. Ozaki, Y.; McClure, W. F.; Christy, A. A. Near-Infrared Spectroscopy in Food Science and Technology; John Wiley & Sons. Inc.: Hoboken, NJ, 2007.
34. Williams, P. C., Sobering, D. C. How do we do it: a brief summary of the methods we use in developing near infrared calibrations. In Near Infrared Spectroscopy: The Future Waves; Davies, A. M. C., Williams, P. C., Eds.; NIR Publications: Chichester, U.K., 1996; pp 185-188.
35. Wang, J. G. Analysis of composition and source of color, aroma, taste, type in rice wine. China Brew. 2004, No. 4, 6-10.
36. Yan, Y. L.; Zhao, L. L.; Han, D. H.; Yan, S.M. Basic and Application of Near-Infrared Spectral Analysis; China Light Industry Press: Beijing, 2005.
37. Yu, H. Y.; Zhou, Y.; Fu, X. P.; Xie, L. J.; Ying, Y. B. Discrimination between Chinese rice wines of different geographical origins by NIRS and AAS. Eur. Food Res. Technol. 2007, 225 (3-4), 313-320.
38. Liu, L.; Cozzolino, D.; Cynkar, W. U.; Dambergs, R. G.; Janik, L.; O'neill, B. K.; Colby, C. B.; Gishen, M. Preliminary study on the application of visible-near infrared spectroscopy and chemometrics to classify Riesling wines from different countries. Food Chem. 2008, 106 (2), 781-786.
39. Cozzolino, D.; Smyth, H. E.; Gishen, M. Feasibility study on the use of visible and near-infrared spectroscopy together with chemometrics to discriminate between commercial white wines of different varietal origins. J. Agric. Food Chem. 2003, 51, 7703-7708.
40. Lu, W. Z. Modern Near Infrared Spectroscopy Analytical Technology, 2nd ed.; China Petrochemical Press: Beijing, 2007.
41. Buning-Pfaue, H. Analysis of water in food by near infrared spectroscopy. Food Chem. 2003, 82, 107-115.
42. Osborne, B. G.; Fearn, T. Near-Infrared Spectroscopy in Food Analysis; Longman Scientific and Technical: New York, 1986.