Near infrared spectroscopy applied to the rapid prediction of the floral origin and mineral content of honeys

Food Chemistry

Volumn 170, Issue , 2015, Pages 47-54

  Escuredo, Olga ^a   González Martín, M Inmaculada ^b   Rodríguez Flores, M Shantal ^a   Seijo, M Carmen ^a  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF SALAMANCA   (Spain)

Author keywords

Cross validation; Honey; Minerals; Modified partial least squares; Near infrared spectroscopy; Principal components

Indexed keywords

FORECASTING; LEAST SQUARES APPROXIMATIONS; MINERALS; MULTIVARIANT ANALYSIS; NEAR INFRARED SPECTROSCOPY;

CROSS VALIDATION; HONEY; MINERAL COMPOSITION; MODIFIED PARTIAL LEAST SQUARES; MULTIPLE CORRELATION COEFFICIENTS; MULTIVARIATE STATISTICAL TECHNIQUES; PRINCIPAL COMPONENTS; RATIO PERFORMANCE; MINERAL CONTENT;

FOOD PRODUCTS; MINERALS;

MAGNESIUM; MINERAL; CALCIUM; PHOSPHORUS; POTASSIUM;

ARTICLE; CHESTNUT; EUCALYPTUS; HONEY; NEAR INFRARED SPECTROSCOPY; NONHUMAN; PARTIAL LEAST SQUARES REGRESSION; POLLEN; RUBUS; SPAIN; ANALYSIS; CHEMISTRY; PROCEDURES; CHEMICAL COMPOSITION; ERICACEAE; PREDICTION;

HONEY; MINERALS; POLLEN; SPECTROSCOPY, NEAR-INFRARED;

EID: 84906761685     PISSN: 03088146     EISSN: 18737072     Source Type: Journal    
DOI: 10.1016/j.foodchem.2014.08.061     Document Type: Article

References (33)

1. C. Alda-Garcilope, A. Gallego-Picó, J.C. Bravo-Yagüe, R.M. Garcinuño-Martínez, and P. Fernández-Hernando Characterization of Spanish honeys with protected designation of origin 'Miel de Granada' according to their mineral content Food Chemistry 135 2012 1785 1788
2. I.R. Amaro, J.L. Vicente-Villardón, and M.P. Galindo- Villardón Manova-biplot for two-way arrays based on multivariate general linear models Interciencia 29 1 2004 26 32
3. E. Anklam A review of analytical methods to determine the geographical and botanical origin of honey Food Chemistry 63 1998 549 562 (Pubitemid 29034628)
4. I. Arvanitoyannis, and A. Krystallis An empirical examination of the determinants of honey consumption in Romania International Journal of Food Science and Technology 41 2006 1164 1176 (Pubitemid 44704337)
5. B.L. Batista, L.R.S. Da Silva, B.A. Rocha, J.L. Rodrigues, A.A. Berretta-Silva, and T.O. Bonates et al. Multi-element determination in Brazilian honey samples by inductively coupled plasma mass spectrometry and estimation of geographic origin with data mining techniques Food Research International 49 2012 209 215
6. M. Blanco, and I. Villarroya NIR spectroscopy: A rapid-response analytical tool Trends in Analytical Chemistry 21 4 2002 240 250 (Pubitemid 34773475)
7. S. Caroli, G. Forte, A.L. Iamiceli, and B. Galoppi Determination of essential and potentially toxic trace elements in honey by inductively coupled plasma-based techniques Talanta 50 2 1999 327 336
8. L. Chen, J. Wang, Z. Ye, J. Zhao, X. Xue, and Y.V. Heyden et al. Classification of Chinese honeys according to their floral origin by near infrared spectroscopy Food Chemistry 135 2012 338 342
9. A.M.C. Davies, B. Radovic, T. Fearn, and E. Anklam A preliminary study on the characterization of honey by near infrared spectroscopy Journal of Near Infrared Spectroscopy 10 2002 121 135
10. A.M.C. Davies, and P.E. Williams Near infrared spectroscopy: The future waves Proceeding of the seventh international conference on near infrared spectroscopy 1996 NIR Publication Chichester, West Sussex, UK
11. M.S. Dhanoa, S.J. Sister, and R.J. Barnes On the scales associated with near infrared reflectance difference spectra Applied Spectroscopy 49 6 1995 765 772
12. I. Dobre, L.A. Georgescu, P. Alexe, O. Escuredo, and M.C. Seijo Rheological behavior of different honey types from Romania Food Research International 49 2012 126 132
13. G. Downey, V. Fouratier, and J.D. Kelly Detection of honey adulteration by addition of fructose and glucose using near infrared transflectance spectroscopy Journal of Near Infrared Spectroscopy 11 2003 447 456 (Pubitemid 38526498)
14. O. Escuredo, M.C. Seijo, and M. Fernández-González Descriptive analysis of Rubus honey from the north-west of Spain International Journal of Food Science and Technology 46 2011 2329 2336
15. O. Escuredo, M.C. Seijo, J. Salvador, and M.I. González- Martín Near infrared spectroscopy for prediction of antioxidant compounds in the honey Food Chemistry 141 2013 3409 3414
16. R. Fernández-Torres, J.L. Pérez-Bernal, M.A. Bello-López, M. Callejón-Mochón, J.C. Jiménez- Sánchez, and A. Guiraúm-Pérez Mineral content and botanical origin of Spanish honeys Talanta 65 2005 686 691
17. I. González-Martín, J.M. Hernández-Hierro, N. Barros-Ferreiro, C. Cordón, and R.J. García-Villanova Use of NIRS technology with a remote reflectance fibre-optic probe for predicting major components in bee pollen Talanta 72 2007 998 1003 (Pubitemid 46635548)
18. M.I. González-Martín, P. Severiano-Pérez, I. Revilla, A.M. Vivar-Quintana, J.M. Hernández-Hierro, and C. González-Pérez et al. Prediction of sensory attributes of cheese by near-infrared spectroscopy Food Chemistry 127 2011 256 263
19. M.L. González-Miret, A. Terrab, D. Herranz, M.A. Fernández-Recamales, and F.J. Heredia Multivariate correlation between color and mineral composition of honey and by their botanical origin Journal of Agricultural and Food Chemistry 53 7 2005 2574 2580 (Pubitemid 40471741)
20. B. Herrero, R.M. Valencia-Barrera, R. San Martín, and V. Pando Characterization of honeys by melissopalynology and statistical analysis Canadian Journal of Plant Science 82 1 2002 75 82 (Pubitemid 34290231)
21. H. Lin, J. Zhao, L. Sun, Q. Chen, and F. Zhou Freshness measurement of eggs using near infrared (NIR) spectroscopy and multivariate data analysis Innovative Food Science and Emerging Technologies 12 2011 182 186
22. J. Louveaux, A. Maurizio, and G. Vorwohl Methods of melissopalynology Bee World 51 1978 125 131
23. V. Nanda, B.C. Sarkar, H.K. Sharma, and A.S. Bawa Physico-chemical properties and estimation of mineral content in honey produced from different plants in Northern India Journal of Food Composition and Analysis 16 2003 613 619 (Pubitemid 37080638)
24. L. Persano-Oddo, M.G. Piazza, A.G. Sabatini, and M. Accorti Characterisation of unifloral honeys Apidologie 26 1995 453 465
25. P.Y. Qiu, H.B. Ding, Y.K. Tang, and R.J. Xu Determination of chemical composition of commercial honey by near-infrared spectroscopy Journal of Agriculture and Food Chemistry 47 1999 2760 2765 (Pubitemid 29396355)
26. K. Ruoff, W. Luginbühl, S. Bogdanov, J.O. Bosset, B. Estermann, and T. Ziolko et al. Quantitative determination of physical and chemical measurands in honey by near-infrared spectrometry European Food Research and Technology 225 2007 415 423 (Pubitemid 46945658)
27. M.C. Seijo, O. Escuredo, and M. Fernández-González Fungal diversity in honeys from northwest Spain and their relationship to the ecological origin of the product Grana 50 1 2011 55 62
28. M.C. Seijo, and M.V. Jato Palynological characterization of honeys from Galicia (Northwest Spain) Grana 37 5 1998 285 292 (Pubitemid 29368525)
29. J. Shenk, and M. Westerhaus Calibration the ISI way A.M.C. Davies, P. Williams, Near infrared spectroscopy: The future waves 1996 NIR Publications Chichester 198 202
30. W. Von der Ohe, L. Persano-Oddo, M.L. Piana, M. Morlot, and P. Martin Harmonized methods of melissopalynology Apidologie 35 2004 18 25
31. P.C. Williams, and D. Sobering How do we do it: A brief summary of the methods we use in developing near infrared calibrations A.M.C. Davies, Williams Near infrared spectroscopy: The future waves 1996 NIR Publications Chichester 185 188
32. T. Woodcock, G. Downey, J.D. Kelly, and C. O'Donnell Geographical classification of honey samples by near infrared spectroscopy: A feasibility study Journal of Agriculture and Food Chemistry 55 2007 9128 9134 (Pubitemid 350110284)
33. T. Woodcock, G. Downey, and C.P. O'Donnell Near infrared spectral fingerprinting for confirmation of claimed PDO provenance of honey Food Chemistry 114 2009 742 746