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Journals / Kafkas Üniversitesi Veteriner Fakültesi Dergisi / 2016 / Cilt: 22 - Sayı: 1

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

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

HASAN ÖNDER
AHMET GÜLER
SELİM BIYIK
DENİZ EKİNCİ
Ali V. GARİPOĞLU
HASAN KOCAOKUTGEN
Pages
21–28
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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

📌 3 Key Takeaways

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Objective & Hypothesis: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.
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Key Findings & Data: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.
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Conclusion & Impact: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
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

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

Özet

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

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Cite This Article

ÖNDER, H., GÜLER, A., BIYIK, S., EKİNCİ, D., GARİPOĞLU, A. V., KOCAOKUTGEN, H. (2016). Saf ve Değişik Şekerlerle Beslenmiş Kolonilerden Üretilmiş Ballara Ait Sabit ve Ayrımsama Fonksiyonu Katsayıları İle Bal Örneklerinin Kaynağının Tahmini. Kafkas Üniversitesi Veteriner Fakültesi Dergisi, Cilt: 22 - Sayı: 1, 21–28. https://ajindex.com/articles/272472

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