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Near-infrared spectroscopy for rapid classification of fruit spirits

Journal of Food Science and Technology volume 53, pages 2797–2803 (2016)Cite this article

Abstract

Multivariate analysis combined with near-infrared (NIR) spectral analysis was evaluated to classify fruit spirits. A total of 67 fruit spirits (12 apple, 18 apricot, 19 pear and 18 plum spirits) were analyzed. NIR spectra were collected in the wavenumber range of 4000–10,000 cm−1. Linear discriminant analysis based on principal component analysis (PCA-LDA) and general discriminant analysis (GDA) based directly on NIR spectral data were used to classify the samples. The prediction performance of models in different wavenumber ranges was also investigated. The best PCA-LDA and GDA models gave a 100 % classification of spirits of the four fruit kinds in the wavenumber range from 5500 to 6050 cm−1 corresponding to either the C–H stretch of the first overtones of CH3 and CH2 groups, or to compounds containing O–H aromatic groups. The results demonstrated that NIR spectroscopy could be used as a rapid method for classification of fruit spirits.

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References

  • Alander JT, Bochko V, Martinkauppi B, Saranwong S, Mantere T (2013) A review of optical nondestructive visual and near-infrared methods for food quality and safety. Int J Spectrosc. doi:10.1155/2013/341402

    Google Scholar 

  • Arzberger U, Lachenmeier DW (2008) Fourier transform infrared spectroscopy with multivariate analysis as a novel method for characterizing alcoholic strength, density, and total dry extract in spirits and liqueurs. Food Anal Methods 1:18–22

    Article  Google Scholar 

  • Bauer-Christoph C, Wachter H, Christoph N, Rossmann A, Adam L (1997) Assignment of raw material and authentication of spirits by gas chromatography, hydrogen- and carbon-isotope ratio measurements I. Analytical methods and results of a study of commercial products. Z Lebensm Unters For 204:445–452

    CAS  Article  Google Scholar 

  • Bevin ChJ, Dambergs RG, Fergusson AJ, Cozzolino D (2008) Varietal discrimination of Australian wines by means of mid-infrared spectroscopy and multivariate analysis. Anal Chim Acta 621:19–23

    CAS  Article  Google Scholar 

  • Buglass AJ (2011) Handbook of alcoholic beverages. Wiley, Hoboken

    Book  Google Scholar 

  • Büning-Pfaue H (2003) Analysis of water in food by near infrared spectroscopy. Food Chem 82:107–115

    Article  Google Scholar 

  • Capobiango M, Oliveira ES, Cardeal ZL (2013) Evaluation of methods used for the analysis of volatile organic compounds of sugarcane (Cachaça) and fruit spirits. Food Anal Methods 6:978–988

    Article  Google Scholar 

  • Cen H, He Y (2007) Theory and application of near-infrared reflectance spectroscopy in the determination of food quality. Trends Food Sci Tech 18:72–83

    CAS  Article  Google Scholar 

  • Chen Q, Ding J, Cai J, Sun Z, Zhao J (2012) Simultaneous measurement of total acid content and soluble salt-free solids content in Chinese vinegar using near-infrared spectroscopy. J Food Sci 77:222–227

    Article  Google Scholar 

  • Cozzolino D, Kwiatkowski MJ, Parker M, Cynkar WU, Dambergs RG, Gishen M, Herderich MJ (2004) Prediction of phenolic compounds in red wine fermentations by visible and near infrared spectroscopy. Anal Chim Acta 513:73–80

    CAS  Article  Google Scholar 

  • Dambergs RG, Kambouris A, Francis IL, Gishen M (2002) Rapid analysis of methanol in grape-derived distillation products using near-infrared transmission spectroscopy. J Agr Food Chem 50:3079–3084

    CAS  Article  Google Scholar 

  • European Union (EC) (2008) Regulation (EC) No. 110/2008 of the European Parliament and of the Council of 15 January 2008 on the definition, description, presentation, labelling and the protection of geographical indications of spirit drinks and repealing Council Regulation (EEC) No. 1576/89. Off J Eur Union L39:16–54

    Google Scholar 

  • Gaydou V, Kister J, Dupuy N (2011) Evaluation of multiblock NIR/MIR PLS predictive models to detect adulteration of diesel/biodiesel blends by vegetable oil. Chemometr Intell Lab 106:190–197

    CAS  Article  Google Scholar 

  • Huang H, Yu H, Xu H, Ying Y (2008) Near infrared spectroscopy for on/in-line monitoring of quality in foods and beverages: a review. J Food Eng 87:303–313

    CAS  Article  Google Scholar 

  • Kozak M, Scaman CH (2008) Unsupervised classification methods in food sciences: discussion and outlook. J Sci Food Agr 88:1115–1127

    CAS  Article  Google Scholar 

  • Lachenmeier DW (2005) Rapid screening for ethyl carbamate in stone-fruit spirits using FTIR spectroscopy and chemometrics. Anal Bioanal Chem 382:1407–1412

    CAS  Article  Google Scholar 

  • Lachenmeier DW (2007) Rapid quality control of spirit drinks and beer using multivariate data analysis of Fourier transform infrared spectra. Food Chem 101:825–832

    CAS  Article  Google Scholar 

  • Lachenmeier DW, Godelmann R, Steiner M, Ansay B, Weigel J, Krieg G (2010) Rapid and mobile determination of alcoholic strength in wine, beer and spirits using a flow-through infrared sensor. Chem Cent J 4:5

    Article  Google Scholar 

  • Le Dauphin J, Guichard H, Saint-Clair JF, Picoche B, Barillier D (2003) Chemical and sensorial aroma characterization of freshly distilled calvados. 2. Identification of volatile compounds and key odorants. J Agric Food Chem 51:433–442

    Article  Google Scholar 

  • Li Y, Yang H (2012) Honey discrimination using visible and near-infrared spectroscopy. ISRN Spectrosc. doi:10.5402/2012/487040

    Google Scholar 

  • Li Z, Wang PP, Huang ChCh, Shang H, Pan SY, Li XJ (2014) Application of Vis/NIR spectroscopy for Chinese liquor discrimination. Food Anal Methods 7:1337–1344

    Article  Google Scholar 

  • Liu F, He Y, Wang L (2008) Determination of effective wavelengths for discrimination of fruit vinegars using near infrared spectroscopy and multivariate analysis. Anal Chim Acta 615:10–17

    CAS  Article  Google Scholar 

  • Longobardi F, Ventrella A, Casiello G, Sacco D, Catucci L, Agostiano A, Kontominas MG (2012) Instrumental and multivariate statistical analyses for the characterization of the geographical origin of Apulian virgin olive oils. Food Chem 133:579–584

    CAS  Article  Google Scholar 

  • Martelo-Vidal MJ, Dominguez-Agis F, Vazquez M (2013) Ultraviolet/visible/near-infrared spectral analysis and chemometric tools for the discrimination of wines between subzones inside a controlled designation of origin: a case study of Rias Baixas. Aust J Grape Wine R 19:62–67

    Article  Google Scholar 

  • Niu XY, Yu HY, Ying YB (2008) The Application of near-infrared spectroscopy and chemometrics to classify Shaoxing wines from different breweries. T Asabe 51:1371–1376

    Article  Google Scholar 

  • Pontes MJC, Santos SRB, Araujo MCU, Almeida LF, Lima RAC, Gaiao EN, Souto UTCP (2006) Classification of distilled alcoholic beverages and verification of adulteration by near infrared spectrometry. Food Res Int 39:182–189

    CAS  Article  Google Scholar 

  • Powers RM, Harper JL, Tai H (1960) Determination of aromatic aldehydes by near-infrared spectrophotometry. Anal Chem 32:1287–1289

    CAS  Article  Google Scholar 

  • Rusu TE, Socaciu C, Fetea F, Ranga F, Parlog R (2011) Phenolic derivatives as authenticity markers of traditional homemade brandies from different counties of Transylvania, using UV–VIS and HPLC analysis. Bull UASVM Agric 68:518–528

    CAS  Google Scholar 

  • Shen F, Yang DT, Ying YB, Li BB, Zheng YF, Jiang T (2012) Discrimination between Shaoxing wines and other Chinese rice wines by near-infrared spectroscopy and chemometrics. Food Bioprocess Tech 5:786–795

    CAS  Article  Google Scholar 

  • Tešević V, Nikićević N, Jovanović A, Djoković D, Vujisić L, Vučković I, Bonić M (2005) Volatile components from old plum brandies. Food Technol Biotech 43:367–372

    Google Scholar 

  • 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. Proc Eng 29:2285–2290

    CAS  Article  Google Scholar 

  • Winterová R, Mikulíková R, Mazáč J, Havelec P (2008) Assessment of the authenticity of fruit spirits by gas chromatography and stable isotope ratio analyses. Czech J Food Sci 26:368–375

    Google Scholar 

  • Workman J, Weyer L (2012) Practical guide and spectral atlas for interpretive near-infrared spectroscopy. Taylor & Francis Inc, Oxfordshire

    Book  Google Scholar 

  • Xu L, Zhou YP, Tang LJ, Wu HL, Jiang JH, Shen GL, Yu RQ (2008) Ensemble preprocessing of near-infrared (NIR) spectra for multivariate calibration. Anal Chim Acta 616:138–143

    CAS  Article  Google Scholar 

  • Yano T, Aimi T, Nakano Y, Tamai M (1997) 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 84:461–465

    CAS  Article  Google Scholar 

  • Yu H, Zhou Y, Fu X, Xie L, Ying Y (2007) Discrimination between Chinese rice wines of different geographical origins by NIRS and AAS. Eur Food Res Technol 225:313–320

    CAS  Article  Google Scholar 

Download references

Acknowledgments

This research was supported by the Scientific Grant Agency of the Ministry of Education of Slovak Republic and the Slovak Academy of Sciences VEGA No 1/0499/14.

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Affiliations

  1. Institute of Analytical Chemistry, Faculty of Chemical and Food Technology, Slovak University of Technology, Radlinského 9, 812 37, Bratislava, Slovak Republic

    M. Jakubíková, J. Sádecká & P. Májek

  2. Department of Composite Materials, Polymer Institute, Slovak Academy of Sciences, Dúbravská cesta 9, 845 41, Bratislava, Slovak Republic

    A. Kleinová

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  1. M. Jakubíková
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  2. J. Sádecká
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  3. A. Kleinová
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  4. P. Májek
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Correspondence to M. Jakubíková.

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Jakubíková, M., Sádecká, J., Kleinová, A. et al. Near-infrared spectroscopy for rapid classification of fruit spirits. J Food Sci Technol 53, 2797–2803 (2016). https://doi.org/10.1007/s13197-016-2254-4

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  • DOI: https://doi.org/10.1007/s13197-016-2254-4

Keywords

  • Beverages
  • Fruit spirits
  • Near infrared spectroscopy
  • Multivariate analysis