Electrophoresis characterisation of protein as a method to establish the entomological origin of stingless bee honeys

Ramón-Sierra, Jesús; Ruíz-Ruíz, Jorge Carlos; Ortiz-Vázquez, Elizabeth

doi:10.1016/j.foodchem.2015.03.015

Cited by 54 publications

(38 citation statements)

References 17 publications

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“…Identification of honey by its bee origin has potential as marker of honey originality. Ramón-Sierra et al (2015) has characterised honey produced by Apis mellifera, Melipona beecheii and Trigona spp. through its protein content.…”

Section: Introductionmentioning

confidence: 99%

Classification of Honey from Its Bee Origin via Chemical Profiles and Mineral Content

et al. 2016

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Raw honeys from four different bee species, namely the honey bees and stingless bees, were classified based on its chemical profiles, mineral contents and heavy metals. Chemical profiles including proximate composition, predominant sugars, hydroxymethylfurfural content, and diastase activity were determined following official methods while mineral and heavy metals contents were obtained from atomic adsorption spectrometry (AAS) and inductively coupled plasma-mass spectrometry (ICP-MS) measurements, respectively. Both hierarchical cluster analysis and principal component analysis show high possibility of distinguishing honey by its bee species of honey bees (Apis spp.) and stingless bees (Heterotrigona itama) based on distinctive differences in chemical compositions and mineral contents. Potassium and sodium were the major elements in raw honey samples at average of 904.9 and 617.6 mg/kg, respectively. Honey from stingless bee contained more protein, 0.85 g/100 g and less total sugar of fructose and glucose at 24.99 g/100 g. The information of bee speciation origin of honey bees and stingless bees enhances the identity of honey on the product labelling.

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Section: Introductionmentioning

confidence: 99%

Classification of Honey from Its Bee Origin via Chemical Profiles and Mineral Content

et al. 2016

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“…For example, hexoses-to-maltose ratio in high performance liquid chromatography (HPLC) analysis was proposed as predictor (taxonomic marker) to predict entomological origins of stingless bee honeys [32]. In addition, Ramón-Sierra et al, [33] demonstrated the utility of protein profiles obtained from electrophoresis as predictor of entomological origins for stingless bee honeys. On the other hand,…”

Section: Introductionmentioning

confidence: 99%

“…Kek et al, [34] showed that the entomological origins of stingless bee honeys (four different bee species) can be used as classifier to classify raw honeys using their chemical profiles and mineral contents. According to Ramón-Sierra et al, [33], it is possible to differentiate honey samples in terms of bee species origins using metabolomics tools. Therefore, this study aims to classify raw stingless bee honeys by bee species origins as a potential classifier using NMR-LCMS-based metabolomics approach.…”

Section: Introductionmentioning

confidence: 99%

Classification of Raw Stingless Bee Honeys by Bee Species Origins using NMR-LCMS-based Metabolomics Approach

Razali¹,

Zainal²,

Maulidiani³

et al. 2018

Preprint

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Background: The official standard for quality control of honey is currently based on physicochemical properties. However, this method is time-consuming, cost intensive, and do not lead to information on the originality of honey. This study aims to classify raw stingless bee honeys by bee species origins as a potential classifier using NMR-LCMS-based metabolomics approach. Methods: Raw stingless bee honeys were analysed and classified by bee species origins using proton nuclear magnetic resonance (1H NMR) spectroscopy and an ultra-high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-QTOF MS) in combination with chemometrics tools. Results: The honey samples were able to be classified into three different groups based on the bee species origins of Heterotrigona itama, Geniotrigona thoracica, and Tetrigona apicalis. D-Fructofuranose (H. itama honey), β-D-Glucose, D-Xylose, α-D-Glucose (G. thoracica honey), and L-Lactic acid, Acetic acid, L-Alanine (T. apicalis honey) identified via 1H NMR data and the diagnostic ions of UHPLC-QTOF MS were characterized as the discriminant metabolites or putative chemical markers. Conclusion: It could be suggested that the quality of honey in terms of originality and purity can be rapidly determined using classification technique by bee species origins via 1H NMR- and UHPLC-QTOF MS-based metabolomics approach.

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“…The electrophoresis pattern of proteins [sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS‐PAGE)] was proposed as a method to establish the entomological origin of A. mellifera , M. beecheii and Trigona spp. honeys …”

Section: Introductionmentioning

confidence: 99%

“…honeys. 16 The proteomic approach has been used to analyze and identify major honey proteins. It has identified proteins belonging to the A. mellifera proteome.…”

Section: Introductionmentioning

confidence: 99%

Proteome comparison for discrimination between honeydew and floral honeys from botanical species Mimosa scabrella Bentham by principal component analysis

et al. 2017

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Electrophoresis characterisation of protein as a method to establish the entomological origin of stingless bee honeys

Cited by 54 publications

References 17 publications

Classification of Honey from Its Bee Origin via Chemical Profiles and Mineral Content

Classification of Honey from Its Bee Origin via Chemical Profiles and Mineral Content

Classification of Raw Stingless Bee Honeys by Bee Species Origins using NMR-LCMS-based Metabolomics Approach

Proteome comparison for discrimination between honeydew and floral honeys from botanical species Mimosa scabrella Bentham by principal component analysis

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