Determination of the botanical origin of honey by sensor fusion of impedance e-tongue and optical spectroscopy

Computers and Electronics in Agriculture

Volumn 94, Issue , 2013, Pages 1-11

  Ulloa, Pablo A ^a   Guerra, Rui ^b   Cavaco, Ana M ^b   Rosa da Costa, Ana M ^a   Figueira, Ana C ^a   Brigas, Amadeu F ^a  

^a UNIVERSITY OF ALGARVE   (Portugal)

^b UNIVERSIDADE DO ALGARVE   (Portugal)

Author keywords

Botanical origin; Chemometrics; Electronic tongue; Honey; Sensor fusion; Spectroscopy

Indexed keywords

CLUSTER ANALYSIS; ELECTRONIC TONGUES; FOOD PRODUCTS; OPTICAL ENGINEERING; PRINCIPAL COMPONENT ANALYSIS; SENSORS; SPECTROSCOPY; SPECTRUM ANALYSIS;

BOTANICAL ORIGIN; CHEMOMETRICS; CLASSIFICATION RESULTS; HONEY; MULTIVARIATE STATISTICAL ANALYSIS; OPTICAL SPECTROSCOPY; SENSOR FUSION; VARIABLE SELECTION METHODS;

SENSOR DATA FUSION;

AGRICULTURAL TECHNOLOGY; CLASSIFICATION; DETECTION METHOD; HONEY; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; PALYNOLOGY; SENSOR; SPECTROSCOPY;

EID: 84876327757     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2013.03.001     Document Type: Article

References (31)

1. Antolovich M., Prenzler P., Robards K., Ryan D. Sample preparation in the determination of phenolic compounds in fruits. Analyst 2000, 125:989-1009.
2. Bianchi F., Careri M., Musci M. Volatile norisoprenoids as markers of botanical origin of sardinian strawberry-tree (Arbutus unedo L.) honey: characterisation of aroma compounds by dynamic headspace extraction and gas chromatography-mass spectrometry. Food Chemistry 2005, 89:527-532.
3. Cavaco A.M., Miguel G., Antunes D., Guerra R. Chapter 9: Determination of geographical and botanical origin of honey: from sensory evaluation to the state of the art of non-invasive technology. Consumption and Health Benefits 2012, 1-40. Nova Science Publishers, NY, USA. G. Bondurand, H. Bosch (Eds.).
4. Codex Alimentarius Commission, 2001. Revised Codex Standard for Honey. Codex Alimentarius Commission. Codex Stan, 12-1981, Rev. 1 (1987), Rev. second ed.
5. Cole K.S., Cole R.H. Dispersion and absorption in dielectrics I. Alternating current characteristics. Journal of Chemical Physics 1941, 9:341-351.
6. Cole K.S., Cole R.H. Dispersion and absorption in dielectrics II. Direct current characteristics. Journal of Chemical Physics 1942, 10:98-105.
7. Corbella E., Cozzolino D. The use of visible and near infrared spectroscopy to classify the floral origin of honey samples produced in Uruguay. Journal of Near Infrared Spectroscopy 2005, 13:63.
8. Davies A., Radovic B., Fearn T., Anklam E. A preliminary study on the characterisation of honey by near infrared spectroscopy. Journal of Near Infrared Spectroscopy 2002, 10:121.
9. Dias L.A., Peres A.M., Vilas-Boas M., Rocha M.A., Estevinho L., Machado A.A.S.C. An electronic tongue for honey classification. Microchimica Acta 2008, 163:97-102.
10. Dvash L., Afik O., Shafir S., Schaffer A., Yeselson Y., Dag A., Landau S. Determination by near-infrared spectroscopy of perseitol used as a marker for the botanical origin of avocado (Persea americana mill.) honey. Journal of Agricultural and Food Chemistry 2002, 50:5283-5287.
11. Escriche I., Kadar M., Domenech E., Gil-Sánchez L. A potentiometric electronic tongue for the discrimination of honey according to the botanical origin. Comparison with traditional methodologies: physicochemical parameters and volatile profile. Journal of Food Engineering 2012, 109:449-456.
12. Estevinho L., Pereira A.P., Moreira L., Dias L.G., Pereira E. Antioxidant and antimicrobial effects of phenolic compounds extracts of northeast Portugal honey. Food and Chemical Toxicology 2008, 46:3774-3779.
13. European Union, 2001. Council Directive 2001/110 EC Relating to Honey. European Union, Official Journal of the European Communities.
14. Hale G.M., Querry M.R. Optical constants of water in the 200-nm to 200-μm wavelength region. Applied Optics 1973, 12:555-563.
15. Hallis, A., Ammar, A., Yeon, A., Shakaff, M., Hamid, A., Jamilah, M., Masnaet, A., 2010. Determination of honey floral origin using data fusion of electronic taste and smell sensing system. In: Proceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I), pp. 183-184.
16. Hruskar, M., Krpan, M., Markovic, K., Saric, G., Major, N., Vahcic, N., Curic, D., 2008. Applications of electronic tongues in determination of honey origins. In: Proceedings of the 2008 Joint Central European Congress, 4th Central European Congress on Food, 6th Croatian Congress of Food Technologists Biotechnologists and Nutritionists, Cavtat, Hrvatska.
17. Kaškonien̈ V., Venskutonis P.R. Floral markers in honey of various botanical and geographic origins: a review. Comprehensive Reviews in Food Science and Food Safety 2010, 9:620-634.
18. Kuang W., Nelson S. Low-frequency dielectric properties of biological tissues: a review with some new insights. Transactions of the ASAE 1998, 41:173-184.
19. Li C., Heinemann J., Irudayaraj P.H. Detection of apple deterioration using an electronic nose and znose™. Transactions of the ASABE 2007, 50:1417-1425.
20. Lieux M.H. Acetolysis applied to microscopical honey analysis. Grana 1980, 19:57-61.
21. Louveaux J., Maurizio A., Vorwohl G. Methods of melissopalynology. Bee World 1978, 59:139-157.
22. Nicolai B.M., Beullens K., Bobelyn E., Peirs A., Saeys W., Theron K.I., Lammertyn J. Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: a review. Postharvest Biology and Technology 2007, 46:99-118.
23. Ozer N., Engel B., Simon J. Fusion classification techniques for fruit quality. Transactions of the ASABE 1995, 38:1927-1934.
24. Pethig R., Kell D.B. The passive electrical properties of biological systems: their significance in physiology, biophysics and biotechnology. Physics in Medicine and Biology 1987, 32:933.
25. Tomás-Barberán F.A., Martos I., Ferreres F., Radovic B.S., Anklam E. HPLC flavonoid profiles as markers for the botanical origin of European unifloral honeys. Journal of the Science of Food and Agriculture 2001, 81:485-496.
26. Valdés, B., Diez, M., Fernandez, I., 1987. Atlas polńico de Andalucá Occidental. Technical Report. nstituto de Desarrollo Regional No. 43. Universidad de Sevilla. EXCMA Diputation de Cadiz, Spain.
27. Von DerOhe W., Oddo L.P., Piana M.L., Morlot M., Martin P. Harmonized methods of melissopalynology. Apidologie 2004, 35.
28. Wei Z., Wang J., Liao W. Technique potential for classification of honey by electronic tongue. Journal of Food Engineering 2009, 94:260-266.
29. Woodcock T., Downey G., Kelly J.D., O'Donnell C. Geographical classification of honey samples by near-infrared spectroscopy: a feasibility study. Journal of Agricultural and Food Chemistry 2007, 55:9128-9134.
30. Woodcock T., Downey G., O'Donnell C.P. Near infrared spectral fingerprinting for confirmation of claimed PDO provenance of honey. Food Chemistry 2009, 114:742-746.
31. Zakaria A., Shakaff A.Y.M., Masnan M.J., Ahmad M.N., Adom A.H., Jaafar M.N., Ghani S.A., Abdullah A.H., Aziz A.H.A., Kamarudin L.M., Subari N., Fikri N.A. A biomimetic sensor for the classification of honeys of different floral origin and the detection of adulteration. Sensors 2011, 11:7799-7822.