Quantitative model of alcohol and acid in Chinese rice wine based on near-infrared transmission spectroscopy

Guangdian Gongcheng/Opto-Electronic Engineering

Volumn 37, Issue 10, 2010, Pages 122-127

  Hu, Xiao Bang ^a   Lü, Jin ^a,b   Liu, Hui Jun ^a   Shi, Yang ^b   Liu, Tie Bing ^b   Li, Bo Bin ^c  

^a CHINA JILIANG UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^c National Center for Quality Supervision and Testing of Rice Wine   (China)

Author keywords

Chinese rice wine acid; Chinese rice wine alcohol; Classification model; Near infrared spectroscopy (NIRS); Successive projection algorithm (SPA)

Indexed keywords

EID: 78649458206     PISSN: 1003501X     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1003-501X.2010.10.021     Document Type: Article

References (18)

1. Wang Min. An approach on the comparative error value in determining the alcohol content of yellow rice wine [J]. Liquor-making Science & Technology, 1999(4): 60-61.
2. Dambergs R, Kambouris A, LeighFrancis I, et al. Rapid analysis of methanol in grape-derived distillation products using near-infrared transmission spectroscopy [J]. J. Agric. Food Chem(S0021-8561), 2002, 50(11): 3079-3084.
3. Lachenmeier D. Rapid quality control of spirit drinks and beer using multivariate data analysis of Fourier transform infrared spectra [J]. Food Chemistry(S0308-8146), 2007, 101(2): 825-832.
4. Cozzolino D, Kwiatkowski M J, Parker M, et al. Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy [J]. Analytica Chimica Acta(S0003-2670), 2004, 513(1): 73-80.
5. Cavinato A, Mayes D, Ge Z H, et al. Noninvasive method for monitoring ethanol in fermentation processes using fiber-optic near-infrared spectroscopy [J]. Analytical Chemistry(S0362-1977), 1990, 62(18): 1977-1982.
6. Urbano-Cuadrado M, Castro M, P'erez-Juan P, et al. Near infrared reflectance spectroscopy and multivariate analysis in enology: Determination or screening of fifteen parameters in different types of wines [J]. Analytica Chimica Acta (S0003-2670), 2004, 527(1): 81-88.
7. Yu Hai-Yan, Ying Yi-Bin, Xie Li-Juan, et al. Influence of optical path Length on NIR analysis results for trace metal determination in Chinese rice wine [J]. Spectroscopy and Spectral Analysis, 2007, 27(6): 1118-1120.
8. Yu H, Ying Y, Fu X, et al. Quality determination of Chinese rice wine based on Fourier transform near infrared spectroscopy [J]. Journal of Near Infrared Spectroscopy(S0967-0335), 2006, 14(1): 3744.
9. Yu Hai-Yan, Ying Yi-Bin, Fu Xia-Ping, et al. Qualitative analysis of Chinese rice wine with different maked age by near-infrared transmission spectroscopy [J]. Spectroscopy and Spectral Analysis, 2007, 27(5): 920-923.
10. Shen Fei, Ying Yi-Bin, Sun Qi, et al. Determination of total sugar content in Chinese rice wine by mid-infrared spectroscopy [J]. Transactions of the Chinese Society for Agricultural Machinery, 2009, 40(9): 143-145.
11. Liu F, He Y, Wang L, et al. Feasibility of the use of visible and near infrared spectroscopy to assess soluble solids content and pH of rice wines [J]. Journal of Food Engineering(S0260-8774), 2007, 83(3): 430-435.
12. Liu Fei, Wang Li, He Yong, et al. Discrimination of varieties of yellow wines using Vis/ NIR spectroscopy [J]. Spectroscopy and Spectral Analysis, 2008, 28(3): 586-589.
13. Garcia-Jares C, Medina B. Application of multivariate calibration to the simultaneous routine determination of ethanol, glycerol, fructose, glucose and total residual sugars in botrytized-grape sweet wines by means of near-infrared reflectance spectroscopy [J]. Fresenius' Journal of Analytical Chemistry(S0937-0633), 1997, 357(1): 86-91.
14. Li Dai-Xi, Wu Zhi-Yong, Xu Duan-Jun, et al. Measurement of the principal components in beer by means of near infrared spectroscopy [J]. Chinese Journal of Analytical Chemistry, 2004, 32(8): 1070-1073.
15. Breitkreitz M, Raimundo I, Rohwedder J, et al. Determination of total sulfur in diesel fuel employing NIR spectroscopy and multivariate calibration [J]. The Analyst(S0003-2654), 2003, 128(9): 1204-1207.
16. Araújo M, Saldanha T, Galvão R, et al. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis [J]. Chemometrics and Intelligent Laboratory Systems(S0169-7439), 2001, 57(2): 65-73.
17. Zhao Xiao-Bo, Zhao Jie-Wen, Malcolm J, et al. Variables selection methods in Near Infrared spectroscopy-review [J]. Analytica Chimica Acta(S0003-2670), 2010, 667: 14-32.
18. Yu Hai-Yan. Methods for quality and wine age determination of Chinese rice wine based on near infrared spectroscopy [D]. Hangzhou: Zhejiang University, 2007: 54-55.