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Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics

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Abstract

The phenolic compound concentration of olives and olive oil is typically quantified using HPLC; however, this process is expensive and time consuming. The purpose of this work was to evaluate the potential of Fourier transform infrared (FTIR) spectroscopy combined with chemometrics, as a rapid tool for the quantitative prediction of phenol content and antioxidant activity in olive fruits and oils from “Cobrançosa” cultivar. Normalized spectral data using standard normal variate (SNV) and first and second Savitzky–Golay derivatives were used to build calibration models based on principal component regression (PCR) and on partial least squares regression (PLS-R), the performance of both models have been also compared. It was shown the possibility of establishing optimized regression models using the combined frequency regions of 3050–2750 and 1800–790 cm−1 instead of the full mid-infrared spectrum was shown. It was concluded that, in general, the first derivative of data and PLS-R models offered enhanced results. Low root-mean-square error (RMSE) and high correlation coefficients (R 2) for the calibration and for the validation sets were obtained.

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References

  • Amaral SJ, Mafra I, Oliveira MBP (2010) In: Olives and olive oil in health and disease prevention. Victor R. Preedy and Ronald Ross Watson (eds). Academic Press, Oxford

  • Baccouri O, Guerfel M, Baccouri B, Cerratani L, Bendini A, Lercker G, Zarrouck M, Miled DDB (2008) Chemical composition and oxidative stability of Tunisian monovarietal virgin olive oils with regard to fruit ripening. Food Chem 109:743–754

    Article  CAS  Google Scholar 

  • Barros A I, Freire I, Gonçalves B, Bacelar E, Gomes S, Lopes J, Guedes-Pinto H, Martins-Lopes P (2013) Evaluation of chemical and phenotipic changes in Blanqueta, Cobrançosa and Galega during olive fruits ripening. Cyta 11:136–141

  • Bendini A, Cerretani L, Di Virgilio F, Belloni P, Bonoli-Carbognin M, Lercker G (2007) Preliminary evaluation of the application of the FTIR spectroscopy to control the geographic origin and quality of virgin olive oil. J Food Quality 30(4):424–437. doi:10.1111/j.1745-4557.2007.00132.x

  • Bendini A, Cerretani L, Virgilio F, Belloni P, Lercker G, Toschi TG (2007b) In-process monitoring in industrial olive mil by means of FT-NIR. Eur J Lipid Sci Technol 109:498–504

    Article  CAS  Google Scholar 

  • Bosque-Sendra JM, Cuadros-Rodriguez L, Chiavaro E, Kaufman T, Bendini A (2010) Combining chromatography and chemometrics for the characterization and authentication of fats and oils from triacylglycerol compositional data—a review. Anal Chim Acta 724:1–11

    Article  Google Scholar 

  • Che Man YB, Syahariza ZA, Mirghani MES, Jinap S, Bakar J (2005) Analysis of potential lard adulteration in chocolate and chocolate products using Fourier transform infrared spectroscopy. Food Chem 90:815–819

    Article  Google Scholar 

  • Duarte I, Barros A, Delgadillo I, Almeida C, Gil A (2002) Application of FTIR spectroscopy for the quantification of sugars in mango juice as a function of ripening. J Agr Food Chem 50:3104–3111

    Article  CAS  Google Scholar 

  • Dupuy N, Galtier O, Ollivier D, Vanloot P, Artaud J (2010) Comparison between NIR, MIR, concatenated NIR and MIR analysis and hierarchical PLS model. Application to virgin olive oil analysis. Anal Chim Acta 666:23–31

    Article  CAS  Google Scholar 

  • Jorgensen K, Segtnan V, Thyholt K, Naes T (2004) A comparison of methods for analysing regression models with both spectral and designed variables. J. Chemometrics 18:451–461

  • Kalua CM, Allen MS, Bedgood DR, Bishop AG, Prenzler PD (2005) Discrimination of olive oils and fruit into cultivars and maturity stages based on phenolic and volatile compounds. J Agr Food Chem 53:8054–8062

    Article  CAS  Google Scholar 

  • Karoui R, Downey G, Blecker C (2010) Mid-infrared spectroscopy couple with chemometrics: a tool for the analysis of intact food systems and exploration of their molecular structure-quality relationships. A Review Chemical Rev 110:6144–6168

    Article  CAS  Google Scholar 

  • Kuligwski J, Quintás G, Garrigues S, Guardia M (2010) Direct determination of polymerized triglycerides in deep frying olive oil by attenuated total reflectance-Fourier transform infrared spectroscopy using partial least squares regression. Anal Bioanal Chem 397:861–869

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Lerma-Garcia M, Ramis-Ramos G, Herrero-Martinez JM, Simó-Alfonso EF (2010) Authentication of extra virgin olive oils by Fourier-transform infrared spectroscopy. Food Chem 118:78–83

    Article  CAS  Google Scholar 

  • Lukic M, Lukic I, Krapac M, Sladanja B, Plilizot V (2013) Sterols and triterpenic diols in olive oil as indicators of variety and degree of ripening. Food Chem 136:251–258

    Article  CAS  Google Scholar 

  • Machado M, Felizardo C, Fernandes-Silva AA, Nunes FM, Barros A (2013) Polyphenolic compounds, antioxidant activity and L-phenylalanine ammonia-lyase activity during ripening of olive cv. “Cobrançosa” under different irrigation regimes. Food Res Int 51:412–421

    Article  CAS  Google Scholar 

  • Maggio RM, Cerretani L, Chiavaro E, Kaufman TS, Bendini A (2010) A novel chemometric strategy for the estimation of extra virgin olive oil adulteration with edible oils. Food Control 21:890–895

    Article  CAS  Google Scholar 

  • Maggio RM, Kaufman T, Del Carlo M, Cerretani L, Bendini A, Cichelli A, Compagnone D (2009) Monitoring of fatty acid composition in virgin olive oil by Fourier transformed infrared spectroscopy couple with partial least squares. Food Chem 114:1549–1554

    Article  CAS  Google Scholar 

  • Martins-Lopes P, Gomes S, Lima-Brito J, Lopes J, Guedes-Pinto H (2009) Assessment of clonal genetic variability in Olea europaea L. ‘Cobrançosa’ by molecular markers. Sci Hortic 123:82–89

    Article  CAS  Google Scholar 

  • Matos LC, Cunha SC, Amaral JS, Pereira JA, Andrade PB, Seabra RM, Oliveira BPP (2007) Chemometric characterization of three varietal olive oils (cvs Cobrançosa, Madural and Verdeal Transmontana), extracted from olives with different maturation indices. Food Chem 102:406–414

    Article  CAS  Google Scholar 

  • Miller JN, Miller JC (2005) In: Statistics and Chemometrics for Analytical Chemisitry 5th Edition; Pearson Education Limited, Edinburgh Gate, Harlow, UK

  • Morelló JR, Romero MP, Ramo T, Motilva MJ (2005) Evaluation of L-phenylalanine ammonia-lyase activity and phenolic profile in olive drupe (Olea europaea L.) from fruit setting period to harvesting time. Plant Sci 168:65–72

    Article  Google Scholar 

  • Nunes A, Martins J, Barros AS, Galvis-Sánchez AC, Delgadillo I (2009) Estimation of olive oil acidity using FT-IR and partial least squares regression. Sens Instrum Food Qual 3:187–191

    Article  Google Scholar 

  • Rohman A, Che Man YB (2010) Fourier transform infrared (FTIR) spectroscopy for analysis of extra virgin olive oil adulterated with palm oil. Food Res Int 43:886–892

    Article  CAS  Google Scholar 

  • Rohman A, Che Man YB (2012) The chemometrics approach applied to FTIR spectral data for the analysis of rice bran oil in extra virgin olive oil. Chemometr Intell Labo 110:129–134

    Article  CAS  Google Scholar 

  • Romera-Fernández M, Berruera LA, Garmón-Lobato S, Gallo B, Vicente F, Moreda JM (2012) Feasibility study of FT-MIR spectroscopy and PLS-R for the fast determination of anthocyanins in wine. Talanta 88:303–310

    Article  Google Scholar 

  • Ruth SM, Villegas B, Akkermans W, Rozign M, Kamp H, Koot A (2010) Prediction of the identity of fats and oils by their fatty acid, triacylglycerol and volatile compositions using PLS-DA. Food Chem 118:48–955

    Article  Google Scholar 

  • Safar M, Bertrand D, Rober P, Devaux MF, Genot C (1994) Characterization of edible oils, butter and margarines by Fourier transform infrared spectroscopy with attenuated total reflectance. J Am Oil Chem Soc 71:371–377

    Article  CAS  Google Scholar 

  • Salvador MD, Aranda F, Fregapane G (2001) Influence of fruit ripening on “Cornicabra” virgin olive oil quality: a study of four successive crop seasons. Food Chem 73:45–53

    Article  CAS  Google Scholar 

  • Sinelli N, Cerretani L, Di Egidio V, 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 basis of fruit attribute intensity. Food Res Int 43:369–367

    Article  CAS  Google Scholar 

  • Sinelli N, Cosio MS, Gigliotti C, Casiraghi E (2007) Preliminary study on application of mid infrared spectroscopy of the evaluation of the virgin olive oil “freshness”. Anal Chim Acta 598:128–134

    Article  CAS  Google Scholar 

  • Smith BC (2002) Quantitative spectroscopy: theory and practice. Academic, Amsterdam, pp 125–179

    Book  Google Scholar 

  • Sousa C, Gouvinhas I, Barreira D, Carvalho MI, Vilela A, Lopes J, Martins-Lopes M, Barros AI (2014) ‘Cobrançosa’ olive oil and drupe: chemical composition in two ripening stages. J Am Oil Chem Soc 91(4): 599–611. doi: 10.1007/s11746-013-2406-x

  • Tapp HS, Defernez M, Kemsley K (2003) FTIR spectroscopy and multivariate analysis can distinguish the geographic origin of extra virgin olive oils. J Agr Food Chem 51:6110–6115

    Article  CAS  Google Scholar 

  • Tovar MJ, Romero MP, Girona J, Motilva MJ (2002) L-Phenylalanine ammonia-lyase activity and concentration of phenolics in developing olive (Olea europaea L. cv Arbequina) fruit grown under different irrigation regimes. J Sci Food Agr 82:892–898

    Article  CAS  Google Scholar 

  • Uceda M, Hermoso M (1998) La calidad del aceite de olive. In D. Barranco, R., Fernandez Escobar, L. Rallo (eds), El cultivo del olivo, Madrid, Spain: Junta de Andalucia Ediciones Mundi-Prensa, pp. 547–572

  • Wentzell PD, Montoto LV (2003) Comparison of principal components regression and partial least squares regression through generic simulations of complex mixtures. Chemometr. Intell. Lab. Systems 65:257–279

  • Wold S, Sjostrom M, Erikson L (2001) PLS-regression: a basic toll of chemometrics. Chemometr Intel Lab 58:109–130

  • Xie Y-L, Kalivas JH (1997) Local prediction models by principal components regression. Anal Chim Acta 348:29–38. doi: 10.1016/S0003-2670(97)00036-6

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Acknowledgments

This work was supported by the Project PhD grant SFRH/BD/78013/2011 to IG from the Fundação para a Ciência e a Tecnologia.

This work is financed by the European Regional Development Fund (ERDF) through the COMPETE Programme (Operational Programme for Competitiveness) and by National Funds through the Fundação para a Ciência e a Tecnologia (FCT) (Portuguese Foundation for Science and Technology) within project FCOMP-01-0124-FEDER-037281.

This work is supported by national funds by FCT—Portuguese Foundation for Science and Technology, under the project PEst-OE/AGR/UI4033/2014 and Project INNovation in the FOOD (INNOFOOD) sector through the valorization of food and agro-food by-products (NORTE-07-0124-FEDER-0000029), financed by the North Portugal Regional Operational Programme (ON.2 – O Novo Norte) under the National Strategic Reference Framework (QREN), through FEDER, as well as by PIDDAC through FCT/MEC.

Compliance with Ethics Requirements

Manuela Machado has no conflict of interest. Nelson Machado has no conflict of interest. Irene Gouvinhas has no conflict of interest. Maria Cunha has no conflict of interest. José Almeida has no conflict of interest. Ana Barros has no conflict of interest. This article does not contain any studies with human or animal subjects.

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Correspondence to Ana I. R. N. A. Barros.

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Machado, M., Machado, N., Gouvinhas, I. et al. Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics. Food Anal. Methods 8, 1490–1498 (2015). https://doi.org/10.1007/s12161-014-0017-2

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