IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i6p896-d366314.html
   My bibliography  Save this article

Application of Functional Data Analysis and FTIR-ATR Spectroscopy to Discriminate Wine Spirits Ageing Technologies

Author

Listed:
  • Ofélia Anjos

    (Instituto Politécnico de Castelo Branco, Escola Superior Agrária, 6001-909 Castelo Branco, Portugal
    CEF, Instituto Superior de Agronomia, Universidade de Lisboa, 1349-017 Lisboa, Portugal
    CBPBI, Centro de Biotecnologia de Plantas da Beira Interior, 6001-909 Castelo Branco, Portugal)

  • Miguel Martínez Comesaña

    (Department of Mechanical Engineering, Heat Engines and Fluid Mechanics, Industrial Engineering School, University of Vigo, Maxwell s/n, 36310 Vigo, Spain)

  • Ilda Caldeira

    (INIAV, INIAV-Dois Portos, Quinta da Almoínha, 2565-191 Dois Portos, Portugal
    MED—MediterraneanInstitute for Agriculture, Environment and Development, Instituto de formação avançada, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal)

  • Soraia Inês Pedro

    (Instituto Politécnico de Castelo Branco, Escola Superior Agrária, 6001-909 Castelo Branco, Portugal)

  • Pablo Eguía Oller

    (Department of Mechanical Engineering, Heat Engines and Fluid Mechanics, Industrial Engineering School, University of Vigo, Maxwell s/n, 36310 Vigo, Spain)

  • Sara Canas

    (INIAV, INIAV-Dois Portos, Quinta da Almoínha, 2565-191 Dois Portos, Portugal
    MED—MediterraneanInstitute for Agriculture, Environment and Development, Instituto de formação avançada, Universidade de Évora, Pólo da Mitra, Ap. 94, 7006-554 Évora, Portugal)

Abstract

Fourier transform infrared spectroscopy (FTIR) with Attenuated Total Reflection (ATR) combined with functional data analysis (FDA) was applied to differentiate aged wine spirits according to the ageing technology (traditional using 250 L wooden barrels versus alternative using micro-oxygenation and wood staves applied in 1000 L stainless steel tanks), the wood species used (chestnut and oak), and the ageing time (6, 12, and 18 months). For this purpose, several features of the wine spirits were examined: chromatic characteristics resulting from the CIELab method, total phenolic index, concentrations of furfural, ellagic acid, vanillin, and coniferaldehyde, and total content of low molecular weight phenolic compounds determined by HPLC. FDA applied to spectral data highlighted the differentiation between all groups of samples, confirming the differentiation observed with the analytical parameters measured. All samples in the test set were differentiated and correctly assigned to the aged wine spirits by FDA. The FTIR-ATR spectroscopy combined with FDA is a powerful methodology to discriminate wine spirits resulting from different ageing technologies.

Suggested Citation

  • Ofélia Anjos & Miguel Martínez Comesaña & Ilda Caldeira & Soraia Inês Pedro & Pablo Eguía Oller & Sara Canas, 2020. "Application of Functional Data Analysis and FTIR-ATR Spectroscopy to Discriminate Wine Spirits Ageing Technologies," Mathematics, MDPI, vol. 8(6), pages 1-21, June.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:6:p:896-:d:366314
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/6/896/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/8/6/896/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Laura Millán-Roures & Irene Epifanio & Vicente Martínez, 2018. "Detection of Anomalies in Water Networks by Functional Data Analysis," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-13, June.
    2. Cuevas, Antonio & Febrero, Manuel & Fraiman, Ricardo, 2006. "On the use of the bootstrap for estimating functions with functional data," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 1063-1074, November.
    3. Müller, Hans-Georg & Sen, Rituparna & Stadtmüller, Ulrich, 2011. "Functional data analysis for volatility," Journal of Econometrics, Elsevier, vol. 165(2), pages 233-245.
    4. Tomasz Górecki & Łukasz Smaga, 2019. "fdANOVA: an R software package for analysis of variance for univariate and multivariate functional data," Computational Statistics, Springer, vol. 34(2), pages 571-597, June.
    5. Editorial Article, 0. "Contents," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 2.
    6. Tomasz Górecki & Łukasz Smaga, 2015. "A comparison of tests for the one-way ANOVA problem for functional data," Computational Statistics, Springer, vol. 30(4), pages 987-1010, December.
    7. Antonio Cuevas & Manuel Febrero & Ricardo Fraiman, 2007. "Robust estimation and classification for functional data via projection-based depth notions," Computational Statistics, Springer, vol. 22(3), pages 481-496, September.
    8. Ricardo Fraiman & Graciela Muniz, 2001. "Trimmed means for functional data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 10(2), pages 419-440, December.
    9. Editorial Article, 0. "Contents," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    10. Editorial Article, 0. "Contents," Economics of Contemporary Russia, Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences, issue 3.
    11. J. Cuesta-Albertos & M. Febrero-Bande, 2010. "A simple multiway ANOVA for functional data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 19(3), pages 537-557, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Miguel Martínez Comesaña & Sandra Martínez Mariño & Pablo Eguía Oller & Enrique Granada Álvarez & Aitor Erkoreka González, 2020. "A Functional Data Analysis for Assessing the Impact of a Retrofitting in the Energy Performance of a Building," Mathematics, MDPI, vol. 8(4), pages 1-20, April.
    2. Alba M. Franco-Pereira & Rosa E. Lillo, 2020. "Rank tests for functional data based on the epigraph, the hypograph and associated graphical representations," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(3), pages 651-676, September.
    3. Dennis Coates & Brad R. Humphreys, 2008. "Do Economists Reach a Conclusion on Subsidies for Sports Franchises, Stadiums, and Mega-Events?," Econ Journal Watch, Econ Journal Watch, vol. 5(3), pages 294-315, September.
    4. Mia Hubert & Peter Rousseeuw & Pieter Segaert, 2015. "Multivariate functional outlier detection," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(2), pages 177-202, July.
    5. Blair Jenkins, 2009. "Rent Control: Do Economists Agree?," Econ Journal Watch, Econ Journal Watch, vol. 6(1), pages 73-112, January.
    6. Ann Mari May, 2008. "On Gender Balance in the Economics Profession," Econ Journal Watch, Econ Journal Watch, vol. 5(2), pages 193-198, May.
    7. Peter Hennecke, 2021. "The ECB’s New Monetary Policy Strategy," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 56(5), pages 295-298, September.
    8. Toma Lankauskiene, 2021. "Labour Productivity Growth Determinants in the Manufacturing Sector in the Baltic States," ConScienS Conference Proceedings 025tl, Research Association for Interdisciplinary Studies.
    9. Lars P Feld & Volker Wieland, 2021. "The German Federal Constitutional Court Ruling and the European Central Bank’s Strategy," Journal of Financial Regulation, Oxford University Press, vol. 7(2), pages 217-253.
    10. N��ez Ferrer, Jorge, 2021. "Avoiding the Main Risks in the Recovery Plans of Member States," CEPS Papers 32463, Centre for European Policy Studies.
    11. Garett Jones, 2008. "What Is the Right Number of Women? Hints and Puzzles from Cognitive Ability Research," Econ Journal Watch, Econ Journal Watch, vol. 5(2), pages 227-239, May.
    12. Lars Jonung & Eoin Drea, 2010. "It Can't Happen, It's a Bad Idea, It Won't Last: U.S. Economists on the EMU and the Euro, 1989–2002," Econ Journal Watch, Econ Journal Watch, vol. 7(1), pages 1-4–52, January.
    13. Carlo Sguera & Pedro Galeano & Rosa Lillo, 2014. "Spatial depth-based classification for functional data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(4), pages 725-750, December.
    14. Ian Ayres & John J. Donohue, 2009. "Yet Another Refutation of the More Guns, Less Crime Hypothesis—With Some Help From Moody and Marvell," Econ Journal Watch, Econ Journal Watch, vol. 6(1), pages 35-59, January.
    15. Richard Jong-A-Pin & Jakob De Haan, 2008. "Growth Accelerations and Regime Changes: A Correction," Econ Journal Watch, Econ Journal Watch, vol. 5(1), pages 51-58, January.
    16. E. Frank Stephenson & Erin E. Wendt, 2009. "Occupational Licensing: Scant Treatment in Labor Texts," Econ Journal Watch, Econ Journal Watch, vol. 6(2), pages 181-194, May.
    17. Kjerstin Tevik & Geir Selbæk & Knut Engedal & Arnfinn Seim & Steinar Krokstad & Anne-S Helvik, 2019. "Mortality in older adults with frequent alcohol consumption and use of drugs with addiction potential – The Nord Trøndelag Health Study 2006-2008 (HUNT3), Norway, a population-based study," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-24, April.
    18. Yoshihisa Amae & Jens Damm, 2011. "“Whither Taiwanization?†State, Society and Cultural Production in the New Era," Journal of Current Chinese Affairs - China aktuell, Institute of Asian Studies, GIGA German Institute of Global and Area Studies, Hamburg, vol. 40(1), pages 3-17.
    19. Yunhee Park & Hyun-Jung Yun, 2020. "A Multilevel Investigation of Fall Prevention Behavior Among Nursing Staff of South Korean Geriatric Hospitals," Global Journal of Health Science, Canadian Center of Science and Education, vol. 12(10), pages 1-97, September.
    20. Arthur M. Diamond, Jr., 2007. "Thriving at Amazon: How Schumpeter Lives in Books Today," Econ Journal Watch, Econ Journal Watch, vol. 4(3), pages 338-344, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:8:y:2020:i:6:p:896-:d:366314. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.