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Assessment of Brazilian Monovarietal Olive Oil in Two Different Package Systems by Using Data Fusion and Chemometrics

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Abstract

The olive oil consumption has spread worldwide, increasing the necessity of quality assessment, and so forth, the search for new, alternative, and rapid data interpretation has started, boosting the interest and the use of data fusion that seek for an integration of results from different techniques or methodologies for the same data set. To better understand the storage effects on the Brazilian monovarietal extra virgin olive oil, data fusion was applied in the classical and alternative analysis, highlighting the similarities and differences between the techniques, assisting in the result interpretation. This perspective and strategy bring development to food chemistry analysis.

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References

  1. Alves FCGBS, Coqueiro A, Março PH, Valderrama P (2018) Evaluation of olive oils from the Mediterranean region by UV-Vis spectroscopy and independent component analysis. Food Chem 273:124–129. https://doi.org/10.1016/j.foodchem.2018.01.126

  2. Aroca-Santos R, Cancilla JC, Pérez-Pérez A, Torrecilla JS (2016) Quantifying binary and ternary mixtures of monovarietal extra virgin olive oil with UV-Vis absorption and chemometrics. Sensors Actuators B Chem 234:115–121. https://doi.org/10.1016/j.snb.2016.04.094

  3. Bevilacqua M, Bro R, Marini F, Rinnan A, Rasmussen MA, Skov T (2017) Recent chemometric advances for foodmics. Trends Anal Chem 96:42–51. https://doi.org/10.1016/j.trac.2017.08.011

  4. Borràs E, Ferré J, Boqué R, Mestres M, Aceña L, Busto O (2015) Data fusion methodologies for food and beverage authentication and quality assessment – a review. Anal Chim Acta 891:1–14. https://doi.org/10.1016/j.aca.2015.04.042

  5. Borràs E, Ferré J, Boqué R, Mestres M, Aceña L, Calvo A, Busto O (2016) Prediction of olive oil sensory descriptors using instrumental data fusion and partial least squares (PLS) regression. Talanta 155:116–123. https://doi.org/10.1016/j.talanta.2016.04.040

  6. Brody AL, Lord JB (2007) Developing new products for a changing marketplace, second edition. CRC Press, Boca Raton

  7. Casale M, Sinelli N, Oliveri P, Di Egidio V, Lanteri S (2010) Chemometrical strategies for feature selection and data compression applied to NIR and MIR spectra of extra virgin olive oils for cultivar identification. Talanta 80:1832–1837. https://doi.org/10.1016/j.talanta.2009.10.030

  8. Casale M, Oliveri P, Casolino C, Sinelli N, Zunin P, Armanino C, Forina M, Lanteri S (2012) Characterization of PDO olive oil Chianti Classico by non-selective (UV-Vis, NIR and MIR spectroscopy) and selective (fatty acid composition) analytical techniques. Anal Chim Acta 712:56–63. https://doi.org/10.1016/j.aca.2011.11.015

  9. Cayuela JA, García JF (2017) Sorting olive oil based on alpha-tocopherol and total tocopherol content using near-infrared spectroscopy (NIRS) analysis. J Food Eng 202:79–88. https://doi.org/10.1016/j.jfoodeng.2017.01.015

  10. Craft NE (2016) Tocopherol: properties and determination. In: Cabellero B, Finglas PM, Toldrás FB (eds) Encyclopedia of food and health. Elsevier, Oxford, pp 309–318

  11. Cuevas FJ, Pereira-Caro G, Moreno-Rojas JM, Muñoz-Redondo M, Ruiz-Moreno MJ (2017) Assessment of premium organic Orange juices authenticity using HPLC-HR-MS and HS-SPME-CG-MS combining data fusion and chemometrics. Food Control 82:203–211. https://doi.org/10.1016/j.foodcont.2017.06.031

  12. Danezis GP, Tsagkaris AS, Camin F, Brusic V, Georgiou CA (2016) Food authentication: techniques, trends & emerging approaches. Trends Anal Chem 85:123–132. https://doi.org/10.1016/j.trac.2016.02.026

  13. Dimitrios B (2006) Sources of natural phenolic antioxidants. Trends Food Sci Technol 17:505–512. https://doi.org/10.1016/j.tifs.2006.04.004

  14. Domenici V, Ancora D, Cifelli M, Serani A, Veracini CA, Zandomeneghi M (2014) Extraction of pigment information from NIR-UV-Vis absorption spectra of extra virgin olive oils. J Agric Food Chem 62:9317–9325. https://doi.org/10.1021/jf503818k

  15. Dupuy N, Galtier O, Ollivier D, Vanloot P, Artaud J (2010) Comparison between NIR, MIR, concantenated NIR and MIR analysis and hierarchical PLS model. Application to virgin olive oil analysis. Anal Chim Acta 666:23–31. https://doi.org/10.1016/j.aca.2010.03.034

  16. Emblem A (2000) Predicting packaging characteristics to improve shelf-life. In: Kilcast D, Subramaniam P (eds) The stability and shelf-life of food. CRC Press, Boca Raton

  17. Ferreira MMC (2015) Quimiometria – Conceitos, Métodos e Aplicações. Editora da Unicamp, Campinas

  18. Ferreiro-González M, Barbero GF, Álvarez JA, Ruiz A, Palma M, Ayuso J (2017) Authentication of virgin olive oil by a novel curve resolution approach combined with visible spectroscopy. Food Chem 220:331–336. https://doi.org/10.1016/j.foodchem.2016.10.015

  19. Forina M, Oliveri P, Bagnasco L, Simonetti R, Casolino MC, Grifi FN, Casale P (2015) Artificial nose, NIR and UV-visible spectroscopy for the characterisation of PDO Chianti Classico olive oil. Talanta 144:1070–1077. https://doi.org/10.1016/j.talanta.2015.07.067

  20. García-González DL, Aparicio-Ruiz R, Aparicio R (2008) Virgin olive oil – chemical implications on quality and health. Eur J Lipid Sci Technol 110:602–607. https://doi.org/10.1002/ejlt.200700262

  21. Giuffrida D, Salvo F, Salvo A, Pera LL, Dugo (2007) Pigments composition in monovarietal virgin olive oils from various Sicilian olive varieties. Food Chem 101:833–837. https://doi.org/10.1016/j.foodchem.2005.12.030

  22. Godinho MS, Blanco MR, Neto FFG, Lião LM, Sena MM, Tauler R, Oliveira AE (2014) Evaluation of transformer insulating oil quality using NIR, fluorescence and NMR spectroscopic data fusion. Talanta 129:143–149. https://doi.org/10.1016/j.talanta.2014.05.021

  23. Gonçalves R, Março PH, Valderrama P (2014) Thermal edible oil evaluation by UV-Vis spectroscopy and chemometrics. Food Chem 163:83–86. https://doi.org/10.1016/j.foodchem.2014.04.109

  24. Gonçalves TR, Rosa LN, Gonçalves RP, Torquato AS, Março PH, Gomes STM, Matsushita M, Valderrama P (2018) Monitoring the oxidative stability of monovarietal extra virgin olive oils by UV-Vis spectroscopy and MCR-ALS. Food Anal Methods 11:1936–1943. https://doi.org/10.1007/s12161-018-1149-6

  25. Gutiérrez-Rosales F, Gómez-Herrera C, Guitiérrez-Gonzálvez-Quijano T (1988) Estudios de la cinética de evolución de los índices de calidad del aceite de olive virgin durante su conservacíon en envases comerciales. Grasas Aceites 39:245

  26. Hada S, Herring RH, Eden MR (2017) Mixture formulation through multivariate statistical analysis of process data in property cluster space. Comput Chem Eng 107:26–36. https://doi.org/10.1016/j.compchemeng.2017.06.017

  27. Haddi Z, Alami H, El Bari N, Tounsi M, Barhoumi H, Maaref A, Jaffrezic-Renault N, Bouchickhi B (2013) Electronic nose and tongue combination for improved classification of Moroccan virgin olive oil profiles. Food Res Int 54:1488–1498. https://doi.org/10.1016/j.foodres.2013.09.036

  28. Inarejos-García AM, Gómez-Alonso S, Fregapane G, Salvador MD (2013) Evaluation of minor components, sensory characteristic and quality of virgin olive oil by near infrared (NIR) spectroscopy. Food Res Int 50:250–258. https://doi.org/10.1016/j.foodres.2012.10.029

  29. International Olive Oil Council, COI/T.15/NC no. 3/Rev. 8 (2015) Trade standard applying to olive oils and olive-pomace oils, Madrid

  30. International Standard Organization, ISO 5509 (2000) Animal and vegetable fats and oils – analysis by gas chromatography of methyl esters of fatty acids. ISO 5509

  31. Jorge N (2015) Química e Tecnologia de Óleos Vegetais. Cultura Acadêmica: Universidade Estadual Paulista, Pró-Reitoria de Graduação, São Paulo

  32. Kanavouras A, Coutelieris FA (2006) Shelf-life predictions for packaged olive oil based on simulations. Food Chem 96:48–55. https://doi.org/10.1016/j.foodchem.2005.01.055

  33. Keramat M, Golmakani MT, Aminlari M, Shekarforoush S (2016) Comparative effect of Bunium persicum and Rosmarinus officinalis essential oils and other synergy with citric acid on the oxidation of virgin olive oil. Int J Food Prop 19:2666–2681. https://doi.org/10.1080/10942912.2015.1126722

  34. Kiritsakis A, Kanavouras A, Kiritsakis K (2002) Chemical analysis, quality control and packaging issues of olive oil. Eur J Lipid Sci Technol 104:628–638. https://doi.org/10.1002/1438-9312(200210)104:9/10<628::AID-EJLT628>3.0.CO;2-1

  35. Koplík R (2015) Advanced strategies in food analysis. http://web.vscht.cz/~poustkaj/EN%20ASFA%20AU%20Koplík%20UV_VIS_spectrometry.pdf/. Accessed 20 May 2018

  36. Korifi R, Plard J, Le Dréau Y, Rébufa C, Rutledge DN, Dupuy N (2016) Highlighting metabolic indicators of olive oil during storage by the AComDim method. Food Chem 203:104–116. https://doi.org/10.1016/j.foodchem.2016.01.137

  37. Krazanowski WJ (2000) Principal of multivariate analysis: a user’s perspective. Oxford, New York

  38. Laroussi-Mezghani S, Vanloot P, Molinet J, Dupuy N, Hammami M, Grati-Kamoun N, Artaud J (2015) Authentication of Tunisian virgin olive oils by chemometric analysis of fatty acid compositions and NIR spectra. Comparison with Maghrebian and French virgin olive oils. Food Chem 173:122–132. https://doi.org/10.1016/j.foodchem.2014.10.002

  39. Longobardi F, Ventrella A, Casiello G, Sacco D, Tasioula-Margari M, Kiritsakis AK, Kontominas MG (2012) Characterisation of the geographical origin of Western Greek virgin olive oils based on instrumental and multivariate statistical analysis. Food Chem 133:169–175. https://doi.org/10.1016/j.foodchem.2011.09.130

  40. Merás ID, Manzano JD, Rodríguez DA, Peña AMP (2018) Detection and quantification of extra virgin olive oil adulteration by means of auto fluorescence excitation-emission profiles combined with multi-way classification. Talanta 178:751–762. https://doi.org/10.1016/j.talanta.2017.09.095

  41. Milanez KDTM, Nóbrega TCA, Nascimento DS, Insausti M, Band BSF, Pontes MJC (2015) Multivariate modeling for detection adulteration of extra virgin olive oil with soybean using fluorescence and UV-Vis spectroscopies: a preliminary approach. LWT – Food Sci Technol 85:9–15. https://doi.org/10.1016/j.lwt.2017.06.060

  42. Moreira I, Scarminio IS (2013) Chemometric discrimination of genetically modified Coffea arábica cultivars using spectroscopic and chromatographic fingerprints. Talanta 107:416:422–416:422. https://doi.org/10.1016/j.talanta.2013.01.053

  43. Park Y, Ikegaki M, Abreu JAS, Alcici NMF (1998) Study of preparation of the própolis extracts and your applications. Food Sci Technol 18:313–318. https://doi.org/10.1590/S0101-20611998000300011

  44. Penttilä A, Martikainen J, Gritsevich M, Muinonen K (2018) Laboratory spectroscopy of meteorite samples at UV-Vis-NIR wavelengths: analysis and discrimination by principal components analysis. J Quant Spectrosc Radiat Transf 2016:189–197. https://doi.org/10.1016/j.jqsrt.2017.11.011

  45. Piergiovanni L, Limbo S (2010) Packaging and the shelf-life of vegetable oils. In: Robertson GL (ed) Food packaging: principles and practices. CRC Press, Boca Raton

  46. Piscopo A, Poiana M (2012) Packaging and storage of olive oil. In: Muzzalupo I (ed) Olive germplasm – the olive cultivation, table and olive oil industry in Italy. Intech Open, New York

  47. Pizzi JA, Toscano G, Pedretti EF, Duca D, Rossini G, Mengarello C, Ilari A, Renzi A, Mancini M (2018) Energy characteristics assessment of olive pomace by means of FT-NIR spectroscopy. Energy 147:51–58. https://doi.org/10.1016/j.energy.2018.01.035

  48. Psomiadou E, Tsimiodou DA (2002) Stability of virgin olive oil, 1. Autoxidation studies. J Agric Food Chem 50:716–721. https://doi.org/10.1021/jf0108462

  49. Rodrigues N, Dias LG, Veloso ACA, Pereira JA, Peres AM (2016) Monitoring olive oils quality and oxidative resistance during storage using an electronic tongue. LWT – Food Sci Technol 73(683):692–692. https://doi.org/10.1016/j.lwt.2016.07.002

  50. Rosa LN, Figueiredo LC, Bonafé EG, Coqueiro A, Visentainer JV, Março PH, Rutledge DN, Valderrama P (2017) Multi-block data analysis using ComDim for the evaluation of complex samples: characterization of edible oils. Anal Chim Acta 961:42–48. https://doi.org/10.1016/j.aca.2017.01.019

  51. Rotondi A, Magli M, Morrone L, Alfei B, Panneli G (2013) Italian national database of monovarietal extra virgin olive oils. In: Poliyuha D, Sladonja B (eds) The Mediterranean genetic code – grapevine and olive, vol 2013. InTech, pp 180–200

  52. Savitzky A, Golay MJE (1964) Smoothing and differentiation of data by simplified least squares procedures. Anal Chem 36:1627–1639. https://doi.org/10.1021/ac60214a047

  53. Shenk JS, Workman JJ Jr, Westerhaus MO (2008) Application of NIR spectroscopy to agricultural products. In: Burns DA, Ciurczak EW (eds) Handbook of near-infrared analysis. CRC Press, Boca Raton

  54. Vera L, Aceña L, Guasch J, Boqué R, Mestres M, Busto O (2011) Discrimination and sensory description of beers through data fusion. Talanta 87:136–142. https://doi.org/10.1016/j.talanta.2011.09.052

  55. Vieira TMFS, D’Arce MABR (1998) Stability of oils heated by microwave: UV spectrophotometric evaluation. Food Sci Technol 1:5–24. https://doi.org/10.1590/S0101-20611998000400015

  56. Wójcicki K, Khmelinskii I, Sikorki M, Sikorska E (2015) Near and mid infrared spectroscopy and multivariate data analysis in studies of oxidation of edible oils. Food Chem 187:416–423. https://doi.org/10.1016/j.foodchem.2015.04.046

  57. Yi L, Dong N, Yun Y, Deng B, Ren D, Liu S, Lian Y (2016) Chemometric methods in data processing of mass spectrometry-based metabolomics: a review. Anal Chim Acta 914:17–34. https://doi.org/10.1016/j.aca.2016.02.001

  58. Zhang J (2010) Multi-source remote sensing data fusion: status and trends. Int J Image Data Fusion 1:5–24. https://doi.org/10.1080/19479830903561035

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Acknowledgments

The authors thank CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) for Msc. fellowship to Thays R. Gonçalves and Larissa N. Rosa. The authors also thank Empresa de Pesquisa Agropecuária de Minas Gerais (Epamig), for the samples used in this study and the Universidade Tecnológica Federal do Paraná (UTFPR) for the partnership.

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Correspondence to Patrícia Valderrama.

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Conflict of Interest

Thays R. Gonçalves declares that she has no conflict of interest. Larissa N. Rosa declares that she has no conflict of interest. Alex S. Torquato declares that he has no conflict of interest. Luiz F. O. da Silva declares that he has no conflict of interest. Paulo Henrique Março declares that he has no conflict of interest. Sandra T. Marques Gomes declares that she has no conflict of interest. Makoto Matsushita declares that he has no conflict of interest. Patrícia Valderrama declares that she has no conflict of interest.

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Gonçalves, T.R., Rosa, L.N., Torquato, A.S. et al. Assessment of Brazilian Monovarietal Olive Oil in Two Different Package Systems by Using Data Fusion and Chemometrics. Food Anal. Methods 13, 86–96 (2020). https://doi.org/10.1007/s12161-019-01511-w

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Keywords

  • Spectroscopy
  • Data fusion
  • Chemometrics
  • Brazilian monovarietal olive oil