Application of Vis/NIR Spectroscopy for Chinese Liquor Discrimination

Food Analytical Methods

Volumn 7, Issue 6, 2014, Pages 1337-1344

  Li, Zhao ^a,b   Wang, Pei Pei ^a   Huang, Chen Chen ^a   Shang, Huan ^a   Pan, Si Yi ^a   Li, Xiu Juan ^a  

^a HUAZHONG AGRICULTURAL UNIVERSITY   (China)

^b Caidian District Quality and Safety Monitoring and Controlling Station for Agricultural Products   (China)

Author keywords

Chemometrics; Chinese liquor; Discrimination; Fingerprint; Vis NIR spectroscopy

Indexed keywords

BEVERAGES; PRINCIPAL COMPONENT ANALYSIS;

CHEMOMETRICS; CHINESE LIQUORS; DISCRIMINATION; FINGERPRINT; VIS/NIR SPECTROSCOPY;

CLASSIFICATION (OF INFORMATION);

EID: 84901664446     PISSN: 19369751     EISSN: 1936976X     Source Type: Journal    
DOI: 10.1007/s12161-013-9755-9     Document Type: Article

References (26)

1. Bobelyn E, Serban AS, Nicu M, Lammertyn J, Nicolai BM, Saeys W (2010) Postharvest quality of apple predicted by NIR-spectroscopy: study of the effect of biological variability on spectra and model performance. Postharvest Biol Tec 55(3): 133-143.
2. Casale M, Oliveri P, Armanino C, Lanteri S, Forina M (2010) NIR and UV-vis spectroscopy, artificial nose and tongue: comparison of four fingerprinting techniques for the characterisation of Italian red wines. Anal Chim Acta 668(2): 143-148.
3. Casale M, Oliveri P, Casolino C, Sinelli N, Zunin P, Armanino C, Forina M, Lanteri S (2012) Characterisation of PDO olive oil Chianti Classico by non-selective (UV-visible, NIR and MIR spectroscopy) and selective (fatty acid composition) analytical techniques. Anal Chim Acta 712: 56-63.
4. Chen Y, Hu H, Wang F (2010) Determination of key parameters of liquor by near infrared spectroscopy. Chin J Liquor-Mak Sci Technol 11: 90-94.
5. Cozzolino D, Kwiatkowski MJ, Waters EJ, Gishen M (2007) A feasibility study on the use of visible and short wavelengths in the near-infrared region for the non-destructive measurement of wine composition. Anal Bioanal Chem 387(6): 2289-2295.
6. De Villiers A, Alberts P, Tredoux AG, Nieuwoudt HH (2012) Analytical techniques for wine analysis: an African perspective; a review. Anal Chim Acta 730: 2-23.
7. Foca G, Cocchi M, Vigni ML, Caramanico R, Corbellini M, Ulrici A (2009) Different feature selection strategies in the wavelet domain applied to NIR-based quality classification models of bread wheat flours. Chemometr Intell Lab Syst 99(2): 91-100.
8. García M, Aleixandre M, Gutiérrez J, Horrillo MC (2006a) Electronic nose for wine discrimination. Sens Actuators B-Chem 113(2): 911-916.
9. García M, Fernández MJ, Fontecha JL, Lozano J, Santos JP, Aleixandre M, Sayago I, Gutiérrez J, Horrillo MC (2006b) Differentiation of red wines using an electronic nose based on surface acoustic wave devices. Talanta 68(4): 1162-1165.
10. García-Martín S, Herrero C, Peña RM, Barciela J (2010) Solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) determination of volatile compounds in Orujo spirits: multivariate chemometric characterisation. Food Chem 118(2): 456-461.
11. GB10781-1989 (1989) National standards of the People's Republic of China. Luzhou-flavor, fen-flavor and rice-flavor liquor (in Chinese).
12. Li W (2005) Combine with NIR transmission spectroscopy and gas chromatography to build the fingerprint model. Chin J Liquor Mak 4: 007.
13. Li D, Wu Z, Xu D, Xu Y (2004) Measurement of the principal components in beer by means of near infrared spectroscopy. Chin J Anal Chem 32: 1070-1073.
14. Li X, He Y, Fang H (2007) Non-destructive discrimination of Chinese bayberry varieties using Vis/NIR spectroscopy. Chin J Food Eng 81(2): 357-363.
15. Lorenzo C, Garde-Cerdán T, Pedroza MA, Alonso GL, Salinas MR (2009) Determination of fermentative volatile compounds in aged red wines by near infrared spectroscopy. Food Res Int 42(9): 1281-1286.
16. McClure WF, Maeda H, Dong LY, Ozaki Y (1996) Two-dimensional correlation of Fourier transform near-infrared and Fourier transform Raman spectra I: mixtures of sugar and protein. J Appl Spectrosc 50(4): 467-475.
17. Moffat AC, Jee RD (1999) Non-destructive real-time reaction monitoring in solid phase synthesis by near-infrared reflectance spectroscopy-esterification of a resin-bound alcohol. Anal Comm 36(4): 127-129.
18. Ni Y, Mei M, Kokot S (2011) Analysis of complex, processed substances with the use of NIR spectroscopy and chemometrics: classification and prediction of properties-the potato crisps example. Chemometr Intell Lab Syst 105(2): 147-156.
19. Nordon A, Mills A, Burn RT, Cusick FM, Littlejohn D (2005) Comparison of non-invasive NIR and Raman spectrometries for determination of alcohol content of spirits. Anal Chim Acta 548(1): 148-158.
20. Purcell DE, O'Shea MG, Kokot S (2009) Complex biopolymeric systems at stalk/epicuticular wax plant interfaces: a near infrared spectroscopy study of the sugarcane example. Biopolym 91(8): 642-651.
21. Qin H, Huo D, Zhang L, Yang L, Zhang S, Yang M, Shen C, Hou C (2012) Colorimetric artificial nose for identification of Chinese liquor with different geographic origins. Food Res Int 45(1): 45-51.
22. 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.
23. Sinelli N, Cerretani L, Egidio VD, Bendini A, Casiraghi E (2010) Application of near (NIR) infrared and mid (MIR) infrared spectroscopy as a rapid tool to classify extra virgin olive oil on the basis of fruity attribute intensity. Food Res Int 43(1): 369-375.
24. Wang X, Bao Y, Liu G, Li G, Lin L (2012) Study on the best analysis spectral section of NIR to detect alcohol concentration based on SiPLS. Procedia Eng 29: 2285-2290.
25. Yu HY, Niu XY, Lin HJ, Ying YB, Li BB, Pan XX (2009) A feasibility study on on-line determination of rice wine composition by Vis-NIR spectroscopy and least-squares support vector machines. Food Chem 113(1): 291-296.
26. Zhang Q, Xie C, Zhang S, Wang A, Zhu B, Wang L, Yang Z (2005) Identification and pattern recognition analysis of Chinese liquors by doped nano ZnO gas sensor array. Sens Actuators B-Chem 110(2): 370-376.