Origin Estimation of Honey Samples by Using Constant and Discriminative Function Coefficients of Pure Honey and Honey Produced by Colonies Feeding with Different Sugars

Bu çalışmada, balarısı kolonilerinin farklı şurup seviyelerinde (20 l ve 100 l/koloni) Yüksek Früktoz Mısır Şurubu 85 (YFMŞ-85), Yüksek Früktoz Mısır Şurubu 55 (YFMŞ-55) ve Sukroz (SS) beslenmesi ile elde edilen 60 adet saf ve katkılı bal örneğinin 25 kimyasal karakteristiğinin ayrımsama gücünü belirlemek amacıyla adımsal yöntemle istatistiksel analize tabi tutulmuştur. %C4, Vitamin C, Früktoz/Glikoz (F/G), viskozite, İnvertaz ve bal ve bal proteinine ait ?13C değeri farkı (??olarak belirlenmiştir. Bu yedi özellik 60 bal örneğinin tam doğrulukla orijinal gruplarına ayrılabilmesini sağlamıştır. Kaynağı bilinmeyen sekiz bal örneğinin orijinal kaynağı yedi biyokimyasal özelliğe ait Standart Çoklu Kanonik Ayrımsama Fonksiyonu ve Sabit Tanımlama Katsayısı (SMCDFCDC) kullanılarak tanımlanabilmiştir. Marketlerden alınan ya da analiz için laboratuvarlara getirilen kaynağı bilinmeyen balların katkılı olup olmadığı bu çalışmada ortaya konulan fonksiyonlar ve tanımlayıcı katsayılar ile belirlenebilir

Saf ve Değişik Şekerlerle Beslenmiş Kolonilerden Üretilmiş Ballara Ait Sabit ve Ayrımsama Fonksiyonu Katsayıları İle Bal Örneklerinin Kaynağının Tahmini

In this study, 25 chemical characteristics of 60 pure and adulterated honey samples obtained from feeding honeybee colonies with different syrup levels (20 and 100 L/colony) of High Fructose Corn Syrup 85 (HFCS-85), High Fructose Corn Syrup 55 (HFCS55) and sucrose (SS) were statistically analysed in order to determine their discriminative power using a Stepwise Method. Seven characteristics including C4%, vitamin C, Fructose/Glucose (F/G), viscosity, invertase and the difference between the ?13C value of honey and its protein (??13Cp-h) were found to be discriminative. These seven characteristics allowed 60 honey samples to be grouped in their original groups with complete accuracy. The original sources of eight honey samples of unknown origin could be identified by using Standard Multivariate Canonical Discriminant Function and Constant Descriptive Coefficients (SMCDFCDC) belonging to the seven biochemical characteristics. It is possible to identify any honey sample of unknown origin taken from the market or brought to the laboratory for analysis as pure or adulterated by using these functions and descriptive coefficients

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  • White JWJR, Winters K, Martin P, Rossmann A: Stable carbon isotope ratio analysis of honey: Validation of internal standard procedure for worldwide application. AOAC, 81, 610-619, 1998.
  • Bogdanov S, Lüllman C, Martin P, von der Ohe V, Russmann H, Vorwohl G, Oddo LP, Sabatini A, Marcazzan GL, Piro R, Flamini C, Morlot M, Lhéritier J, Borneck R, Marioleas P, Tsigouri A, Kerkvliet J, Ortiz A, Ivanov T, D'Arcy B, Mossel B, Vit P: Honey quality and international regulatory standards (Review by the International Honey Commission), Apiservices. Virtual Beekeeping Gallery. 2005. http://www.beekeeping. com/articles/us/honey_quality.htm, Accessed: 17/10/2014.
  • Ruiz-Matute AI, Weiss M, Sammatora D, Finely J, Sanz ML: Carbo- hydrate composition of high-fructose corn syrups (HFCS) used for bee feeding: Effect on honey composition. J Agric Food Chem, 58, 7317-7322, DOI: 10.1021/jf100758x
  • Eflein L, Raezke KP: Improved detection of adulteration by measuring differences between 13C/12C stable carbon isotope ratios of protein and sugar compound with a combination of elemental analyser-isotope ratio mass spectrometry and liquid chromatography-isotope ratio mass spectrometry (?13C-EA/LC-IRMS). Apidologie, 39, 574-587, 2008. DOI: 1051/apido:2008042
  • Guler A, Bakan A, Nisbet C, Yavuz O: Determination of important biochemical properties of honey to discriminate pure and adulterated honey with sucrose syrup. Food Chem, 105, 1119-1125, 2007. DOI: 10.1016/j. foodchem.2007.02.024
  • Guler A, Kocaokutgen H, Garipoglu AV, Onder H, Ekinci D, Biyik S: Detection of adulterated honey produced by honeybee (Apis mellifera L.) colonies fed with different levels of commercial industrial sugar (C3 and C4 plants) syrups by the carbon isotope ratio analysis. Food Chem, 155, 155- , 2014. DOI: 10.1016/j.foodchem.2014.01.033
  • White JWJR: Methods for determining carbohydrates, hydroxymethyl furfurol and proline in honey: Collaborative study. AOAC, 62, 509-514, 1979.
  • Guler A: The effects of the shook swarm technique on honey bee (Apis mellifera L.) colony productivity and honey quality. J Apicultural Res, 47, 27- , 2008.
  • Oddo LP, Piro R: Main European unifloral honeys: Descriptive sheets1. Apidologie, 35, 38-81, 2004. DOI: 10.1051/apido:2004049
  • Ruoff K, Luginbühl W, Kilchenmann V, Bosset JO, Ohe Von Der K, Ohe Von Der W, Amadq R: Authentication of botanical origin of honey using profiles of classical measurands and discriminant analysis. Apidologie, , 438-452, 2007. DOI: 10.1021/jf060838r
  • Basoglu FN, Sorkun K, Löker M, Doğan C, Wetherilt H: Saf ve sahte balların ayırt edilmesinde fiziksel, kimyasal ve palinolojik kriterlerin saptanması. Gıda, 21, 67-73, 1996.
  • German Institute for Standardisation: Analysis of honey- determination of the relative frequency of polen. DIN 10760, 2002.
  • Von der Ohe W, Persano Oddo L, Piana L, Morlot M, Martin P: Harmonised methods of melissopalynology. Apidologie, 35, 18-25, 2004. DOI: 10.1051/apido:2004050
  • Guler A, Bek Y, Kement V: Verification test of sensory analyses of comb and strained honeys produced as pure and feeding intensively with sucrose (Saccharum officinarum L.) syrup. Food Chem, 109, 891-898, 2008. DOI: 10.1016/j.foodchem.2008.01.019
  • Codex Alimentarius Commission: Codex Standard for honey, CODEX STAN 12-1981; Food and Agriculture Organization of the United Nations and the World Health Organization. Rome, 2001.
  • Padovan GJ, De Jong D, Rodrigues LP, Marchini JS: Detection of adulteration of commercial honey samples by the 13C/12C isotopic ratio. Food Chem, 82, 633-636, 2003. DOI: 10.1016/S0308-8146(02)00504-6
  • Krauze A, Zalewski RI: Classification of honeys by principal component analysis on the basis of chemical and physical parameters. Eur Food Res Technol, 192, 19-23, 1991.
  • Cotte JF, Casabianca H, Chardon S, Lheritier J, Grenier-Loustalo MF: Application of carbohydrate analysis to verify honey authenticity. J Chromatogr A, 1021, 145-155, 2003. DOI: 10.1016/j.chroma.2003.09.005
  • Iglesias MT, De Lorenzo C, Polo MD, Martin-Alveraz PJ, Pueya E: Usefulness of amino acid composition to discriminate between honeydew and floral honeys. J Agric Food Chem, 52, 84-89, 2004. DOI: 1021/jf030454q
  • Miret MLG, Terrab A, Hernanz D, Recamales MAF, Heredia FJ: Multivariate correlation between color and mineral composition of honeys and by their botanical origin. J Agric Food Chem, 53, 2574-2580, 2005. DOI: 1021/jf048207p
  • Cooley WW, Lohnes RR: Multivariate Data Analysis. Wiley, New York, Le CT: A Problem-Based Introduction to Biostatistics. Wiley, Toronto, AOAC: Official method 991.41. C4% plant sugars in honey. AOAC official methods of analysis sugars and sugar products; AOAC: Arlington, VA, Chapter 44, pp.29-31, 1995.
  • DIN 10758: Analysis of honey- Determination of the content of saccharides fructose, glucose, saccharose, turanose and maltose-HPLC method, 1997.
  • SPSS: Windows User's Guide. Version 13.0, SPSS Inc., Michigan Ave., Illinois, Chicago, 2004.
  • Mateo R, Bosh-Reig F: Classification of Spanish unifloral honeys by discriminant analysis of electrical conductivity, colour, water content, sugars, and pH, J Food Chem, 46, 393-400, 1998. DOI: 10.1021/jf970574w
  • Devillers J, Morlot M, Pham-Deleque MH, Dore JC: Classification of monofloral honeys based on their quality control data, Food Chem, 86, 305- , 2004. DOI: 10.1016/j.foodchem.2003.09.029
  • Council Directive 2001/110/EC: 2001 Council Directive 2001/110/EC of 20 December 2001 relating to honey. EU Council, Official J Eur Commun, L10, 47-52, 2002.
  • Piazza MG, Oddo LP: Bibliographical review of the main European unifloral honeys, Apidologie, 35, 94-111, 2004. DOI: 10.1051/apido:2004046
Kafkas Üniversitesi Veteriner Fakültesi Dergisi-Cover
  • ISSN: 1300-6045
  • Yayın Aralığı: Yılda 6 Sayı
  • Başlangıç: 1995
  • Yayıncı: Kafkas Üniv. Veteriner Fak.
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