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Rapid classification of commercial Cheddar cheeses from different brands using PLSDA, LDA and SPA–LDA models built by hyperspectral data

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Abstract

This study aimed to investigate the feasibility of using near-infrared hyperspectral imaging (NIR-HSI) technique for classifying commercial Cheddar cheeses from different brands. Three classification models including a probability based partial least squares discriminant analysis (PLSDA), linear discriminant analysis (LDA) and successive projections algorithm (SPA)–LDA were used to discriminate four brands of Cheddar cheeses. A simple sample ranking method was used to improve the performance of these models. The generalisation abilities of the PLSDA, LDA and SPA–LDA models for the classification of new batch cheeses were investigated. The optimal number of PLS components was 24 for PLSDA, while the optimal SPA selected wavelengths was 105 for SPA–LDA. The results showed that PLSDA built by hyperspectral data was the most suitable model for brands classification with correct classification rate of 86.67%, and SPA–LDA had better performance than LDA with corresponding correct classification rates of 83.33% and 76.67%, respectively. As a comparison, models built by physical data (texture and colour) achieved poor classification results ( < 65% for test set). The current result revealed that HSI technique is better and faster than conventional cheese classification methods.

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References

  1. P.F. Fox, P.L.H. McSweeney, T.M. Cogan, T.P. Guinee, Cheese: Chemistry, Physics and Microbiology, Volume 2: Major Cheese Groups (Elsevier, London, 2004)

    Google Scholar 

  2. N.S. Kim, J.H. Lee, K.M. Han, J.W. Kim, S. Cho, J. Kim, Food Chem. 143, 40 (2014)

    CAS  PubMed  Google Scholar 

  3. H.H. Gan, B. Yan, R.S.T. Linforth, I.D. Fisk, Food Chem. 190, 442 (2016)

    CAS  PubMed  PubMed Central  Google Scholar 

  4. A. Eroglu, M. Dogan, O.S. Toker, M.T. Yilmaz, Int. J. Food Prop. 18, 909 (2015)

    CAS  Google Scholar 

  5. C. Cevoli, A. Gori, M. Nocetti, L. Cuibus, M.F. Caboni, A. Fabbri, Food Res. Int. 52, 214 (2013)

    CAS  Google Scholar 

  6. A. Dankowska, M. Małecka, W. Kowalewski, Dairy Sci. Technol. 95, 413 (2015)

    CAS  PubMed  PubMed Central  Google Scholar 

  7. E.P. Botosoa, R. Karoui, Food Bioprocess Technol. 6, 2365 (2013)

    Google Scholar 

  8. K. de Sa Oliveira, L. de Souza Callegaro, R. Stephani, M.R. Almeida, L.F.C. de Oliveira, Food Chem. 194, 441 (2016)

    Google Scholar 

  9. Y.-Z. Feng, D.-W. Sun, Crit. Rev. Food Sci. Nutr. 52, 1039 (2012)

    PubMed  Google Scholar 

  10. D. Wu, D.-W. Sun, Innov. Food Sci. Emerg. Technol. 19, 1 (2013)

    Google Scholar 

  11. J. Ma, H. Pu, D.-W. Sun, LWT 94, 119 (2018)

    CAS  Google Scholar 

  12. J. Ma, D.-W. Sun, H. Pu, J. Food Eng. 196, 65 (2017)

    Google Scholar 

  13. Y. Pan, D.-W. Sun, J.-H. Cheng, Z. Han, Food Aanal. Methods 11, 1568 (2018)

    Google Scholar 

  14. W. Cheng, D.-W. Sun, H. Pu, Q. Wei, Food Chem. 248, 119 (2018)

    CAS  PubMed  Google Scholar 

  15. W. Cheng, D.-W. Sun, H. Pu, Y. Liu, LWT 72, 322 (2016)

    CAS  Google Scholar 

  16. X. Fu, M.S. Kim, K. Chao, J. Qin, J. Lim, H. Lee, A. Garrido-Varo, D. Pérez-Marín, Y. Ying, J. Food Eng. 124, 97 (2014)

    CAS  Google Scholar 

  17. M. Huang, M.S. Kim, S.R. Delwiche, K. Chao, J. Qin, C. Mo, C. Esquerre, Q. Zhu, J. Food Eng. 181, 10 (2016)

    CAS  Google Scholar 

  18. J. Lim, G. Kim, C. Mo, M.S. Kim, K. Chao, J. Qin, X. Fu, I. Baek, B.-K. Cho, Talanta 151, 183 (2016)

    CAS  PubMed  Google Scholar 

  19. Y. Liu, H. Pu, D.-W. Sun, Trends Food Sci. Technol. 69, 25 (2017)

    CAS  Google Scholar 

  20. M.T. Munir, D.I. Wilson, W. Yu, B.R. Young, J. Food Eng. 221, 1 (2018)

    CAS  Google Scholar 

  21. D.A.P. Forchetti, R.J. Poppi, LWT 76, 337 (2017)

    CAS  Google Scholar 

  22. L. Darnay, F. Králik, G. Oros, Á. Koncz, F. Firtha, J. Food Eng. 196, 123 (2017)

    CAS  Google Scholar 

  23. N. Vásquez, C. Magán, J. Oblitas, T. Chuquizuta, H. Avila-George, W. Castro, J. Food Eng. 219, 8 (2018)

    Google Scholar 

  24. A. Barreto, J.P. Cruz-Tirado, R. Siche, R. Quevedo, Food Biosci. 21, 14 (2018)

    CAS  Google Scholar 

  25. W. Cheng, D.-W. Sun, J.-H. Cheng, LWT 73, 13 (2016)

    CAS  Google Scholar 

  26. Q. Dai, J.-H. Cheng, D.-W. Sun, Z. Zhu, H. Pu, Food Chem. 197, 257 (2016)

    CAS  PubMed  Google Scholar 

  27. M.J. Lerma-García, A. Gori, L. Cerretani, E.F. Simó-Alfonso, M.F. Caboni, J. Dairy Sci. 93, 4490 (2010)

    PubMed  Google Scholar 

  28. A.A. Kulmyrzaev, É. Dufour, Food Bioprocess Technol. 3, 247 (2010)

    Google Scholar 

  29. J.K. Amamcharla, L.E. Metzger, J. Dairy Sci. 98, 6004 (2015)

    CAS  PubMed  Google Scholar 

  30. P.H.G.D. Diniz, A.A. Gomes, M.F. Pistonesi, B.S.F. Band, M.C.U. de Araújo, Food Anal. Methods 7, 1712 (2014)

    Google Scholar 

  31. J.-L. Xu, A.A. Gowen, D.-W. Sun, J. Food Eng. 218, 88 (2018)

    CAS  Google Scholar 

  32. Y. Liu, D.-W. Sun, J.-H, Cheng, Z. Han, Food Aanal. Methods 11, 2472 (2018)

    Google Scholar 

  33. D. Ballabio, V. Consonni, Anal. Methods 5, 3790 (2013)

    CAS  Google Scholar 

  34. W.-H. Su, D.-W. Sun, Talanta 155, 347 (2016)

    CAS  PubMed  Google Scholar 

  35. N.F. Pérez, J. Ferré, R. Boqué, Chemom. Intell. Lab. Syst. 95, 122 (2009)

    Google Scholar 

  36. J.-L. Xu, C. Esquerre, D.-W. Sun, J. Near Infrared Spectrosc. JNIRS 26, 61 (2018)

    CAS  Google Scholar 

  37. Y. Guo, T. Hastie, R. Tibshirani, Biostatistics 8, 86 (2007)

    PubMed  Google Scholar 

  38. M.C.U. Araújo, T.C.B. Saldanha, R.K.H. Galvão, T. Yoneyama, H.C. Chame, V. Visani, Chemom. Intell. Lab. Syst. 57, 65 (2001)

    Google Scholar 

  39. W. Cheng, D.-W. Sun, H. Pu, Q. Wei, Food Chem. 221, 1989 (2017)

    CAS  PubMed  Google Scholar 

  40. D. Liu, D.-W. Sun, X.-A. Zeng, Food Bioprocess Technol. 7, 307 (2014)

    Google Scholar 

  41. X. Lin, J.-L. Xu, D.-W. Sun, LWT 109, 108 (2019)

    CAS  Google Scholar 

  42. J.-S. Cho, H.-J. Bae, B.-K. Cho, K.-D. Moon, Food Chem. 220, 505 (2017)

    CAS  PubMed  Google Scholar 

  43. A.A. Gowen, G. Downey, C. Esquerre, C.P. O’Donnell, J. Chemom. 25, 375 (2011)

    CAS  Google Scholar 

  44. Y.-Y. Pu, D.-W. Sun, C. Riccioli, M. Buccheri, M. Grassi, T.M.P. Cattaneo, A. Gowen, Food Anal. Methods 11, 1021 (2018)

    Google Scholar 

  45. U.T. de Carvalho Polari Souto, M.F. Barbosa, H.V. Dantas, A.S. de Pontes, W. da Silva Lyra, P.H.G.D. Diniz, M.C.U. de Araújo, E.C. da Silva, LWT 63, 1037 (2015)

    Google Scholar 

  46. A. Cecchinato, A. Albera, C. Cipolat-Gotet, A. Ferragina, G. Bittante, J. Dairy Sci. 98, 4914 (2015)

    CAS  PubMed  Google Scholar 

  47. M.L. Oca, M.C. Ortiz, L.A. Sarabia, A.E. Gredilla, D. Delgado, Talanta 99, 558 (2012)

    CAS  PubMed  Google Scholar 

  48. G. Downey, E. Sheehan, C. Delahunty, D. O’Callaghan, T. Guinee, V. Howard, Int. Dairy J. 15, 701 (2005)

    CAS  Google Scholar 

  49. D.F. Barbin, G. ElMasry, D.-W. Sun, P. Allen, Anal. Chim. Acta 719, 30 (2012)

    CAS  PubMed  Google Scholar 

  50. A. Lucas, D. Andueza, A. Ferlay, B. Martin, Int. Dairy J. 18, 595 (2008)

    CAS  Google Scholar 

  51. M. Kamruzzaman, G. ElMasry, D.-W. Sun, P. Allen, Anal. Chim. Acta 714, 57 (2012)

    CAS  PubMed  Google Scholar 

  52. G. ElMasry, D.-W. Sun, P. Allen, J. Food Eng. 110, 127 (2012)

    Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge University College Dublin (UCD) and China Scholarship Council (CSC, China) for financial support to their PhD study under the UCD-CSC funding scheme.

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Correspondence to Da-Wen Sun.

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Lei, T., Lin, XH. & Sun, DW. Rapid classification of commercial Cheddar cheeses from different brands using PLSDA, LDA and SPA–LDA models built by hyperspectral data. Food Measure 13, 3119–3129 (2019). https://doi.org/10.1007/s11694-019-00234-0

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  • DOI: https://doi.org/10.1007/s11694-019-00234-0

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