Blossom Honey Research Articles

QUALITY EVALUATION OF PINE AND BLOSSOM HONEY SAMPLES PRODUCED IN TURKEY: CORRELATION BETWEEN PHYSICOCHEMICAL CHARACTERISTICS

This study presents physicochemical characteristics of 39 honey samples (21 blossom and 18 pine honey) collected during two years from three different geographical regions of Türkiye that differs vastly in climatic conditions and thus plant species. The samples were analysed for δ13C/δ12C stable carbon isotope ratios of honey (δ13Ch) and its protein fraction (δ13Cp), moisture, free acidity, proline and 5-hydroxymethyl furfural (HMF) content, diastase activity and sugar composition. The results showed that C4 sugar content, proline content, diastase activity, acidity values of pine honeys were higher than that of blossom honeys whereas, higher moisture and HMF content were detected for blossom honeys. Besides, geographical region mainly affected the moisture and C4 sugar contents. High correlations between HMF and δ13Ch and δ13Cp; proline and acidity values; fructose and glucose content were determined, and this indicated the robustness of the analysis and quality evaluation among different honey types and regions.

Identifying Key Markers for Monofloral (Eucalyptus, Rosemary, and Orange Blossom) and Multifloral Honey Differentiation in the Spanish Market by UHPLC-Q-Orbitrap-High-Resolution Mass Spectrometry Fingerprinting and Chemometrics.

Honey differentiation based on the botanical origin is crucial to guarantee product authenticity, especially considering the increasing number of fraud cases. This study assessed the metabolomic differences arising from various botanical origins in honey products sold in Spanish markets, focusing on two goals: (1) discrimination within monofloral samples (eucalyptus, rosemary, and orange blossom honey) and (2) differentiation between multifloral vs. monofloral honey samples. An omics strategy based on ultra-high-performance liquid chromatography coupled with quadrupole-Orbitrap-high-resolution mass spectrometry (UHPLC-Q-Orbitrap-HRMS) was applied for the reliable identification of specific honey markers selected by orthogonal partial least squares discriminant analysis (OPLS-DA) (R2Y = 0.929-0.981 and Q2 = 0.868-0.952), followed by the variable importance in projection (VIP) approach. Key amino acid, alkaloid, and trisaccharide markers were identified to distinguish between honey samples. Some Amadori compounds were highlighted as eucalyptus honey markers, suggesting their potential use for honey aging and botanical origin differentiation. L-phenylalanine and raffinose were markers of rosemary honey. Four markers (e.g., trigonelline, L-isoleucine, and N-(1-deoxy-1-fructosyl)isoleucine) were found in higher levels in multifloral samples, indicating a greater availability of amino acids, potentially increasing the Maillard reaction. This research is the first to address the botanical origin's impact on honey by identifying novel markers not previously described.

Physicochemical Characteristics, Phenolic Components, and Antioxidant Capacities of Lavender Honey (Lavandula Spp.) from Isparta Region of Türkiye.

Lavender honey is one of the most desirable blossom honeys for its unique taste and aromatic qualities and can vary significantly from one region to another. In this study, melissopalynological, physicochemical and antioxidant properties of lavender honey from the Isparta region of Türkiye were investigated. The ration of the Lavandula spp. pollen were identified ranging from 9 % to 76 % in the thirteen samples. The average pH, conductivity, moisture, Hunter Lab* and proline values were 3.72, 0.22 mS/cm, 17.17 %, L*: 66.56, a*: 66.32, b*:18.41 and 576.92 mg/kg, respectively. The average F+G and F/G were 67.66 % and 1.02, respectively. The average of total phenolic (TP) and flavonoid (TF) substance were found to be 39.40 mg GAE/100 g and 3.23 mg QUE/100 g, respectively. The average total antioxidant capacity (FRAP) and DPPH radical scavenging activity values were found to be 178.28 μmol FeSO4 ⋅ 7H2O/100 g and 53.09 mg/mL, respectively. In the phenolic component analysis performed with HPLC-PDA, p-OH-benzoic acid, p-coumaric acid, chrysin and pinocembrin were detected as common polyphenols in the samples. Conclusively, despite considerable variability in their monofloral characteristics, no significant differences were observed in the physicochemical and antioxidant properties of lavender honeys.

Physicochemical Characterization, Antioxidant and Tyrosinase Inhibitory Activities of Coffea Robusta Monofloral Honey from Dak Lak Province, Vietnam.

Robusta coffee blossom honey stands as a key regional product in Dak Lak province, Vietnam. Despite its significance, there exists a dearth of scientific data for assessing its quality. This study aims to fill this gap by characterizing the physicochemical properties and biological activities of coffee blossom honeys from three distinct sub-regions within Dak Lak province, Vietnam. These activities include ferric reducing power (FRP), DPPH and ABTS radical scavenging, as well as tyrosinase inhibitory activities. Moreover, the study compares these honey samples with other popular varieties in Vietnam, such as Lychee and Longan honeys. The physicochemical parameters of the honey samples meet the standards set by Codex Alimentarius 2001. Through UPLC analysis, eleven compounds were identified, with caffeine serving as a marker for coffee honey. Furthermore, by employing multiple factor analysis (MFA), it was observed that certain physicochemical properties correlate positively with tyrosinase inhibitory, DPPH, ABTS free radicals scavenging activities, and FRP. Notably, tyrosinase inhibitory activity exhibited a positive correlation with antioxidant activity. These findings underscore the high quality of Coffea robusta honey, showcasing its potent antioxidant and tyrosinase inhibitory activities.

Evaluation of Honey and Propolis Consumption Habits of Adults During the COVID-19 Pandemic

Objective: This study was conducted to assess the consumption preferences and quantities of bee products in adults and to determine change in consumption of honey and propolis during the COVID-19 pandemic period. Material and Method: This descriptive cross-sectional study was conducted with 1217 individuals between November 2021 and March 2022. An online questionnaire was used for data collection, which included descriptive characteristics and participants' honey and propolis consumption habits. The data was analyzed using number, percentage, mean, McNemar, and Marginal Homogeneity test. Results: In this study, mean age of individuals was 26.84±10.96 years, 68.9% were male, 51.8% had a secondary education, and 73.4% had no chronic disease. It was found that honey and propolis increased among subjects during the pandemic (p<0.001). Participants consume honey and propolis because they are tasty and nutritious, strengthen immune system, and are effective in treating diseases. It was found that participants preferred filtered honey as honey type and multi-floral blossom honey (plateau) and honeydew (pine) as honey variety. Conclusion: This study is the first study with a large sample size conducted in Türkiye to determine the consumption of honey and propolis in adults during the pandemic and to evaluate the changes due to the pandemic. The results of this study show that the consumption of honey and propolis has increased during the pandemic.

Detection of honey adulteration by characterization of the physico-chemical properties of honey adulterated with the addition of glucose–fructose and maltose corn syrups

This study aimed to experimentally investigate the effect of sugar syrup additions on quality measurements of honey and to detect adulteration. For that purpose, two different pure blossom honey samples were adulterated by directly mixing 0%, 5%, 10%, 20%, 30%, 40%, and 50% of commercially available glucose–fructose corn syrup and maltose corn syrup. In this regard, key physico-chemical properties like moisture, pH, free acidity, proline, diastase number, color (L, a, b and Delta-E), electrical conductivity, HMF, sugar profile (glucose, fructose, sucrose and maltose), and C4 sugar analysis were tested. The results of the individual analysis of moisture, pH, free acidity, proline, diastase number, color, electrical conductivity, and HMF failed to detect sugar syrup adulteration. However, when principal component analysis (PCA) was utilized to analyze the data gathered from these tests, adulterations at all-syrup ratios (5–50%) were successfully detected.Graphical

Distinctive properties of the pine, oak, chestnut and multifloral blossom and honeydew honeys

Although blossom and honeydew honeys are produced from different nectar sources, it is very difficult to distinguish them. In this study, physicochemical and biochemical properties were compared to distinguish honeydew and blossom honeys obtained from different botanical sources. The honeys of pine (Pinus spp.) and oak (Quercus, spp.) were used as honeydew honey, and chestnut (Castania sativa L.) and highland honey were used as blossom honey. Turbidity, specific optical rotation (SOR) [α]20, electrical conductivity (EC), CIEL* a*b color parameters, and moisture and pH were assessed as physical parameters. Proline, invertase activity, sugar composition, total phenolic and flavonoid contents, and antioxidant capacity were used as biochemical properties. It was determined that SOR values were the most important parameters in distinguishing honeydew and blossom honeys. Turbidity stands out as a crucial factor in differentiating between pine and oak honeys. Except for chestnut honey, electrical conductivity, CIE color Lab values, and sugar profiles were identified as additional distinguishing factors among the tested honeys.

Detection of Multiple Antibiotic Residues in Turkish Pine and Blossom Honeys Using LC-MS/MS Method.

Due to the high demand for honey, beekeepers often feed the bees with antibiotics to protect honeybees against illnesses; the determination of veterinary drugs and their residues in bee products especially in honey is gaining importance. In this study, commercially available 15 different brands, a total of 22 honey (14 blossoms and 8 pines) samples obtained from 5 chain supermarkets in the city of Bingöl and Diyarbakır, Turkey were analysed for 29 antibiotic residues. These antibiotics belong to 10 different categories, including tetracyclines, aminoglycosides, macrolides, sulfonamides, fluoroquinolones, benzimidazoles, anthelmintic, amphenicols, quinolines, and oxazolidines. For the qualitative and quantitative determination of the antibiotics, a triple quadrupole liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used. A total of 10 out of 22 honey (8 blossom, 57.14 % and 2 pine, 25 %) samples were found to be positive for antibiotics. Among the tested antibiotics, tetracycline, dihydrostreptomycin, streptomycin, erythromycin, and sulfadimidine were detected in the honey samples. Dihydrostreptomycin and sulfadimidine were detected in 6 samples, erythromycin was determined in 4 samples, streptomycin was found in 2 samples, and lastly, tetracycline was detected only in one sample. The highest and the lowest concentrations of antibiotics detected in the samples were dihydrostreptomycin and erythromycin found at the amount of 992.58 μg/kg and 0.77 μg/kg respectively. The proposed method was validated with a limit of quantification (LOQ) and limit of detection (LOD) ranging between 0.42 and 3.22 μg /kg and 0.13-0.97 μg /kg respectively. Good linearities were also achieved ranging between R2 =0.987 and 0.999.

Comparison of bioactive constituents by HPLC–DAD–ESI-MS and UFLC and in vitro antioxidant activities of blossom honey, bee pollen, and propolis

Comparison of bioactive constituents by HPLC–DAD–ESI-MS and UFLC and in vitro antioxidant activities of blossom honey, bee pollen, and propolis

Honey, its Quality and Composition and their Responsible Factors

Honey is a sweet viscous food substance made by honey bees. It contains more than 180 nutritional substances, due to which it is known for boosting immunity. Honey is comprised of easily digestible honey sugars and energy providing nutrients. It is used as an ingredient in hundreds of manufactured foods for its sweetness, colour, flavor, caramelization and viscosity. It’s various physicochemical constituents, moisture content (<25%), reducing sugars (>65%), acidity (<0.2%), electrical conductivity (<0.8 mS/cm for blossom honey), sucrose content (5%), hydroxy methyl furfuraldehyde (HMF) (<40 mg kg-1) etc. contribute to its nutritional quality, granulation, flavor, texture, fermentation and storage quality. Other properties viz. diastase content, proline content, phenols, pollen density etc. are important indicator of quality and origin of honey. Honey is the reservoir of different minerals, with potassium being most abundant element. Owing to its chemical composition, honey has been reported to have significant impact on human nutrition and health. Its quality is evaluated based on standard quality parameters standardized by different authorities. The quality and composition of honey highly depends on the type of flowers utilized by the bees, climatic conditions and various other factors like floral sources, seasons, beekeeper activities, harvesting of honey, processing, storage, agrochemicals, adulteration and geographical origin. The demand of honey is also increasing in upward trend; thus, the analysis of these quality parameters helps us to ensure that the honey we are consuming fulfills the required parameters.

Fingerprinting Chemical Markers in the Mediterranean Orange Blossom Honey: UHPLC-HRMS Metabolomics Study Integrating Melissopalynological Analysis, GC-MS and HPLC-PDA-ESI/MS.

(1) Background: Citrus honey constitutes a unique monofloral honey characterized by a distinctive aroma and unique taste. The non-targeted chemical analysis can provide pivotal information on chemical markers that differentiate honey based on its geographical and botanical origin. (2) Methods: Within the PRIMA project "PLANT-B", a metabolomics workflow was established to unveil potential chemical markers of orange blossom honey produced in case study areas of Egypt, Italy, and Greece. In some of these areas, aromatic medicinal plants were cultivated to enhance biodiversity and attract pollinators. The non-targeted chemical analysis and metabolomics were conducted using ultra-high-performance liquid chromatography high-resolution mass spectrometry (UHPLC-HRMS). (3) Results: Forty compounds were disclosed as potential chemical markers, enabling the differentiation of the three orange blossom honeys according to geographical origin. Italian honey showed a preponderance of flavonoids, while in Greek honey, terpenoids and iridoids were more abundant than flavonoids, except for hesperidin. In Egyptian honey, suberic acid and a fatty acid ester derivative emerged as chemical markers. New, for honey, furan derivatives were identified using GC-MS in Greek samples. (4) Conclusions: The application of UHPLC-HRMS metabolomics combined with an elaborate melissopalynological analysis managed to unveil several potential markers of Mediterranean citrus honey potentially associated with citrus crop varieties and the local indigenous flora.

Phenolic compound, organic acid, mineral, and carbohydrate profiles of pine and blossom honeys

Phenolic compound, organic acid, mineral, and carbohydrate profiles of pine and blossom honeys

Characterization and Classification of Spanish Honeydew and Blossom Honeys Based on Their Antioxidant Capacity.

Honey is a very appreciated product for its nutritional characteristics and its benefits for human health, comprising antioxidant, anti-inflammatory, antifungal, and antibacterial activities. These attributes depend on the specific composition of each honey variety, with the botanical origin as one of the distinctive features. Indeed, honeydew and blossom honeys show different physicochemical properties, being the antioxidant capacity, mainly relying on the phenolic compound content, one of the most important. In this work, Folin-Ciocalteu (FC) index, total flavonoid content (TFC), and the antioxidant capacity based on the ferric reducing antioxidant power (FRAP) assay were determined for a total of 73 honeys (50 blossom honeys and 23 honeydew honeys). Mean content of oxidizable species (FC index) ranges from 0.17 to 0.7 mg eq. gallic acid g-1, with honeydew honeys being the ones with higher values. Regarding TFC, mean values above 1.5 mg eq. quercetin g-1 (method applied in the absence of NaNO2) were obtained for honeydew honeys and heather honey. Lower and not discriminatory values (below 0.3 mg eq. epicatechin g-1) were obtained in the presence of NaNO2. The maximum antioxidant capacity was observed for thyme honeys (2.2 mg eq. Trolox g-1) followed by honeydew and heather honeys. Individually, only the FC index was able to discriminate between honeydew and blossom honeys, while the other spectroscopic indexes tested allowed the differentiation of some honey types according to the botanical origin. Thus, a holistic treatment of the results was performed using partial least square discriminant analysis (PLS-DA) for classification purposes using FC, TFC, and FRAP results as data. Honeydew and blossom honey were satisfactorily discriminated (error 5%). In addition, blossom honeys can be perfectly classified according to their botanical origin based on two-class PLS-DA classification models.

Creation of products made from honey based on the content of elements determined by ICP-OES.

People of different age can consume honey, but the taste is often not accepted easily. Therefore, products made from honey with a pleasant taste and high nutritional and health benefits are highly demanded on the market. Honey is a bioindicator of environmental pollution. Certain plants are known as high accumulators of toxic elements. Here on the example of three honey-based prototypes, with sesame, shelled pumpkin, sunflower seeds, plums, walnut, almond, hazel, and cinnamon as minor ingredients, we demonstrated the creation of new products putting the accent on the content of toxic and potentially toxic elements, usually treated as irrelevant in making products. Nineteen elements (Al, B, Ba, Ca, Cd, Co, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, P, Pb, Se, Si, and Zn) were determined by ICP-OES after oven-based and wet digestion methods in blossom honey and prototypes samples. Among the investigated elements, the most abundant element in blossom honey for the products and the investigated products was potassium in most cases. Investigated honey (used for the products) and two of the products contain small quantities of toxic and potentially toxic elements. However, the second product, containing besides honey two accumulators of toxic metals (sesame, sunflower seeds), shows higher values for toxic elements. Therefore, the ICP-OES analysis can be a good step in making new products with high nutritional and health values but almost free from toxic and potentially toxic elements.

Hidroméis com méis brasileiros de diferentes origens botânicas

Abstract The objective of this work was to evaluate the quality of meads prepared with multifloral honey, unifloral orange blossom honey, and a mixture of both. To prepare the meads, multifloral honey and orange blossom honey from Southern and Southeastern Brazil, respectively, were used. The physicochemical properties, total phenolic content, and antioxidant capacity of the meads were determined. The phenolic compounds were identified by mass spectrometry, and sensory tests were carried out. Multifloral honey showed higher levels of ash content, reducing sugars, and total phenolic compounds than orange blossom honey. The multifloral and mixed meads presented the highest levels of total phenolics, total polyphenol index, and antioxidant capacity. The orange blossom mead showed the highest scores in the sensory analysis for color, aroma, flavor, and global acceptance. The phenolic compounds identified in the meads were the chlorogenic, protocatechuic, syringic, and p-coumaric acids, as well as naringenin and quercetin. The physicochemical, functional, and sensory characteristics of the meads are affected by the honey used in their preparation.

Colour and vitamin C equivalent antioxidant capacity of honey from different origins in Turkey

The nutritional content, antioxidant capacity and sensory characteristic such as colour vary related to botanical and geographical origins. The study was aim to investigate the spectrophotometric classification of honey colour by Pfund scale and the vitamin C equivalent antioxidant capacity (VCEAC) expressed as l-ascorbic acid equivalent by MTT assay. Eight honey samples originating from different geographical areas of Turkey were supplied and coded. The colour of the samples was determined as extra white (blossom-multifloral and citrus), white (blossom-multifloral and lavender), amber (thyme-Astragalus and honeydews) and dark amber (chestnut). The highest VCEAC was statistically measured in the honeydews and citrus honey, as the lowest was in the blossom and chestnut honey. And, there was no significant interaction between the colour score and the VCEAC of the honey. In conclusion, the honey from different botanical and geographical origins in Turkey showed the antioxidant capacity independently of their colour. The results needed further studies to investigate the floral diversity and phytochemical contents which influence the colour and antioxidant capacity of honey.

Influence of Stirring Parameters on Creaminess of Spring Blossom Honey Measured by Crystal Size, Whiteness Index and Mouthfeel

Spring blossom honey from regions with many rape fields tends to crystalize rapidly after harvesting. The crystallization process needs to be controlled by stirring in order to avoid the formation of coarse crystals and to ensure the creaminess of honey. The aim of this study was to investigate how various parameters of the stirring process influence the creaminess of spring blossom honey in order to give recommendations for beekeeping practices. The creaminess was quantified by measuring the crystal size by microscopic analysis, measuring the whiteness index by color analysis using CIE Lab and by sensory analysis. We investigated the influence of five stirring parameters, including the type of stirring device, honey pretreatment, stirring temperature (14 °C to room temperature), stirring interval (1 to 24 times) and stirring time (1-15 min) on the creaminess of honey. We found that the stirring temperature is the most important factor for honey creaminess. At the optimal temperature of 14 °C, other factors like seed honey, stirring time and stirring interval have only a neglectable effect. If the optimal temperature of 14 °C cannot be maintained, as it may happen in beekeepers' practice, sieving the honey with a mesh size of 200 µm before stirring, the addition of seed honey prepared with a kitchen food processor, and using a stirring screw and stirring several times per day is recommended.

Characterization and Classification of Spanish Honey by Non-Targeted LC–HRMS (Orbitrap) Fingerprinting and Multivariate Chemometric Methods

A non-targeted LC-HRMS fingerprinting methodology based on a C18 reversed-phase mode under universal gradient elution using an Orbitrap mass analyzer was developed to characterize and classify Spanish honey samples. A simple sample treatment consisting of honey dissolution with water and a 1:1 dilution with methanol was proposed. A total of 136 honey samples belonging to different blossom and honeydew honeys from different botanical varieties produced in different Spanish geographical regions were analyzed. The obtained LC-HRMS fingerprints were employed as sample chemical descriptors for honey pattern recognition by principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). The results demonstrated a superior honey classification and discrimination capability with respect to previous non-targeted HPLC-UV fingerprinting approaches, with them being able to discriminate and authenticate the honey samples according to their botanical origins. Overall, noteworthy cross-validation multiclass predictions were accomplished with sensitivity and specificity values higher than 96.2%, except for orange/lemon blossom (BL) and rosemary (RO) blossom-honeys. The proposed methodology was also able to classify and authenticate the climatic geographical production region of the analyzed honey samples, with cross-validation sensitivity and specificity values higher than 87.1% and classification errors below 10.5%.

Off-Line SPE LC-LRMS Polyphenolic Fingerprinting and Chemometrics to Classify and Authenticate Spanish Honey.

The feasibility of non-targeted off-line SPE LC-LRMS polyphenolic fingerprints to address the classification and authentication of Spanish honey samples based on both botanical origin (blossom and honeydew honeys) and geographical production region was evaluated. With this aim, 136 honey samples belonging to different botanical varieties (multifloral and monofloral) obtained from different Spanish geographical regions with specific climatic conditions were analyzed. Polyphenolic compounds were extracted by off-line solid-phase extraction (SPE) using HLB (3 mL, 60 mg) cartridges. The obtained extracts were then analyzed by C18 reversed-phase LC coupled to low-resolution mass spectrometry in a hybrid quadrupole-linear ion trap mass analyzer and using electrospray in negative ionization mode. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were employed to assess the pattern recognition capabilities of the obtained fingerprints to address honey classification and authentication. In general, a good sample discrimination was accomplished by PLS-DA, being able to differentiate both blossom-honey and honeydew-honey samples according to botanical varieties. Multiclass predictions by cross-validation for the set of blossom-honey samples showed sensitivity, specificity, and classification ratios higher than 60%, 85%, and 87%, respectively. Better results were obtained for the set of honeydew-honey samples, exhibiting 100% sensitivity, specificity, and classification ratio values. The proposed fingerprints also demonstrated that they were good honey chemical descriptors to deal with climatic and geographical issues. Characteristic polyphenols of each botanical variety were tentatively identified by LC-MS/MS in multiple-reaction monitoring mode to propose possible honey markers for future experiments (i.e., naringin for orange/lemon blossom honeys, syringic acid in thyme honeys, or galangin in rosemary honeys).

Characterization, Classification and Authentication of Spanish Blossom and Honeydew Honeys by Non-Targeted HPLC-UV and Off-Line SPE HPLC-UV Polyphenolic Fingerprinting Strategies.

Honey is a highly consumed natural product produced by bees which is susceptible to fraudulent practices, some of them regarding its botanical origin. Two HPLC-UV non-targeted fingerprinting approaches were evaluated in this work to address honey characterization, classification, and authentication based on honey botanical variety. The first method used no sample treatment and a universal reversed-phase chromatographic separation. On the contrary, the second method was based on an off-line SPE preconcentration method, optimized for the isolation and extraction of polyphenolic compounds, and a reversed-phase chromatographic separation optimized for polyphenols as well. For the off-line SPE method, the use of HLB (3 mL, 60 mg) cartridges, and 6 mL of methanol as eluent, allowed to achieve acceptable recoveries for the selected polyphenols. The obtained HPLC-UV fingerprints were subjected to an exploratory principal component analysis (PCA) and a classificatory partial least squares-discriminant analysis (PLS-DA) to evaluate their viability as sample chemical descriptors for authentication purposes. Both HPLC-UV fingerprints resulted to be appropriate to discriminate between blossom honeys and honeydew honeys. However, a superior performance was accomplished with off-line SPE HPLC-UV polyphenolic fingerprints, being able to differentiate among the different blossom honey samples under the study (orange/lemon blossom, rosemary, thyme, eucalyptus, and heather). In general, this work demonstrated the feasibility of HPLC-UV fingerprints, especially those obtained after off-line SPE polyphenolic isolation and extraction, to be employed as honey chemical descriptors to address the characterization and classification of honey samples according to their botanical origin.