Next Article in Journal
Use of Algerian Type Ras El-Hanout Spices Mixture with Marination to Increase the Sensorial Quality, Shelf Life, and Safety of Whole Rabbit Carcasses under Low-O2 Modified Atmosphere Packaging
Next Article in Special Issue
The Importance of Testing the Quality and Authenticity of Food Products: The Example of Honey
Previous Article in Journal
Gene–Diet Interactions: Viability of Lactoferrin-Fortified Yoghurt as an Element of Diet Therapy in Patients Predisposed to Overweight and Obesity
Previous Article in Special Issue
Metabolomics Reveals Distinctive Metabolic Profiles and Marker Compounds of Camellia (Camellia sinensis L.) Bee Pollen
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Quality of Commercially Available Manuka Honey Expressed by Pollen Composition, Diastase Activity, and Hydroxymethylfurfural Content

The National Institute of Horticultural Research, Konstytucji 3 Maja 1/3, 96-100 Skierniewice, Poland
*
Author to whom correspondence should be addressed.
Foods 2023, 12(15), 2930; https://doi.org/10.3390/foods12152930
Submission received: 30 June 2023 / Revised: 26 July 2023 / Accepted: 30 July 2023 / Published: 2 August 2023
(This article belongs to the Special Issue Quality Evaluation of Bee Products)

Abstract

:
Manuka honey plays a significant role in modern medical applications as an antibacterial, antiviral, and antibiotic agent. However, although the importance of manuka honey is well documented in the literature, information regarding its physicochemical characteristics remains limited. Moreover, so far, only a few papers address this issue in conjunction with the examination of the pollen composition of manuka honey samples. Therefore, in this study, two parameters crucial for honey quality control—the diastase number (DN) and the hydroxymethylfurfural (HMF) content—as well as the melissopalynological analysis of manuka honey, were examined. The research found a large variation in the percentage of Leptospermum scoparium pollen in honeys labeled and sold as manuka honeys. Furthermore, a significant proportion of these honeys was characterized by a low DN. However, since low diastase activity was not associated with low HMF content, manuka honey should not be considered as a honey with naturally low enzymatic activity. Overall, the DN and HMF content results indicate that the quality of commercially available manuka honey is questionable.

Graphical Abstract

1. Introduction

Manuka honey is a dark monofloral honey derived from the New Zealand manuka tree (Leptospermum scoparium, L. scoparium); known for its distinctive taste and aroma, it plays a significant role in modern medical applications, especially as an antibacterial, antiviral, and antibiotic agent [1,2]. Manuka honey showed, for instance, bactericidal potency against Pseudomonas aeruginosa and Staphylococcus aureus (strains responsible for the inflammation of the mucous lining of the paranasal sinuses) and antiviral ability against Varicella zoster (the virus that causes chickenpox and shingles) [3,4]. In turn, a study of the combination of five novel antibiotics and manuka honey revealed the improved activity of these antibiotics against wound pathogens [5]. In addition, the honey from New Zealand promotes the growth of certain types of probiotics such as Lactobacillus reuteri and Lactobacillus rhamnosus [6]. In addition, manuka honey exhibits strong antioxidant and anti-inflammatory properties due to the presence of various bioactive compounds such as phenols, flavonoids, and enzymes, which makes it effective in the treatment of chronic ulcer and topical clinical inflammation [7,8,9]. Furthermore, numerous data highlight the anticancer effect of manuka honey [10,11]. A cytotoxic influence on human lung, breast, colon, and metastatic cancer cell lines, as well as on murine melanoma, colorectal carcinoma, and human hepatocarcinoma was observed [12,13,14].
Although the importance of manuka honey for medicinal purposes is well documented in the literature, information regarding its physicochemical characteristics remains limited. The European Union has established regulations governing the physicochemical parameters of honey in order to ensure its quality, authenticity, and safety [15]. These properties includes moisture content, apparent reducing sugars content, apparent sucrose content, water-insoluble solids content, ash content, acidity, diastase activity, hydroxymethylfurfural (HMF) content, and electrical conductivity [15]. Specifying the above-mentioned characteristics of honey is also intended to protect consumers against deceptive practices of sellers of this rarely cheap product. Two physicochemical parameters of honey, which deserve particular attention as they are crucial for honey quality control, are not clearly defined for manuka honey: the diastase activity (diastase number, DN) and the HMF content. Diastase (α-amylase) is one of the main enzymes found in honey; its activity level is considered an indicator of honey freshness and its proper processing [16]. Similarly, the content of HMF, a furanic compound formed when sugar-containing products are acidified or heated, informs about the quality of honey. Since a high level of HMF can be a result of adulteration with sugar additives, the HMF amount is also useful for assessing the authenticity of honey samples [17].
Most of the studies on the DN and HMF content in manuka honey carried out so far have not linked these experiments with melissopalynological analysis [17,18,19,20,21,22,23,24]. Only a few papers discuss this issue using these three methods [25,26,27]. However, in these studies, the results are presented for individual samples of manuka honeys without using the relevant statistics. It was found that the manuka honey with 75.8% of L. scoparium pollen grains contains a DN and HMF content equal to 19.03 (Schade units) and 16.42 mg·kg−1, respectively [25]. In turn, the honey samples with an L. scoparium pollen content of about 31 and 51% are characterized by a diastase activity of about 7.2 and 9.1 Schade, respectively, and by an HMF amount of 27.9 and 33.5 mg·kg−1, respectively [26]. Another study indicates that the manuka honey DN and HMF content was equal to 8.0 ± 1.0 Schade and 18.1 ± 3.2 mg·kg−1, respectively, but declared that the pollen analysis was performed; however, the percentage composition of pollen grains in the tested honey was not given [27]. Importantly, since the manuka pollen was considered over-representative and the manuka tree shares similar pollens with the kanuka bush, Moar stated that to be called manuka honey, honey must contain at least 70% of manuka pollen grains [28]. Thus, it is likely that some of the honeys mentioned should not be called manuka honey.
The problem of manuka honey falsification has been recognized earlier; in response to this issue, the New Zealand Ministry for Primary Industries reported the combination of five attributes required to distinguish manuka honey from other honey types, as well as to identify monofloral and multifloral manuka honeys [29,30]. Four of the attributes refer to the four specific compounds found in manuka honey by liquid chromatography–tandem mass spectrometry, i.e., 2′-methoxyacetophenone, 2-methoxybenzoic acid, 3-phenyllactic acid, and 4-hydroxyphenyllactic acid; the other relates to the DNA markers of manuka pollen determined by the multiplex qPCR assay [29,30]. Other studies have described the potential of compact atmospheric solids analysis probe mass spectrometry, liquid chromatography–high resolution mass spectrometry, fluorescence spectroscopy, and 1H NMR spectroscopy for the evaluation of manuka honey authenticity [31,32,33,34]. Another unique feature of manuka honey is its high methylglyoxal (MGO) content [35]. This compound can be formed in foods through five pathways. The first pathway is the Maillard reaction, i.e., a reaction between amino acids and reducing sugars that occurs during food storage at room temperature and during thermal processing [36]. The other pathways include the autoxidation of hexoses, the oxidation of unsaturated fatty acids in lipids, the dehydration of dihydroxyacetone (DHA), and the microbial metabolism of dihydroxyacetone phosphate [36]. In manuka honey, MGO is naturally formed as a result of the dehydration of dihydroxyacetone, a compound present in the nectar of manuka tree flowers [36]. The chemical transformation of DHA to MGO occurs in moderate heat, and the period of storage, which means that the MGO in manuka honey has already been produced in the beehive, as well as being produced in storage drums after humans collect the honey [37]. It is worth mentioning that manuka honey is frequently stored for several years without any temperature regulation [37]. In some cases, this is to intentionally increase the amount of MGO formed, especially since the MGO is thought to be responsible for the antibacterial activity of manuka honey [37,38]. It is easy to determine that advanced and often sophisticated equipment is needed to apply above described techniques used for verifying the authenticity of manuka honey; therefore, pollen analysis appears to be the most suitable first-choice method for manuka honey recognition. Thus, in this paper, using the example of the Polish market, we demonstrate the variation in the percentage of L. scoparium pollen in honeys labeled and sold as manuka honeys. Then, we present the DN value and HMF content based on relevant statistics. The pollen analysis results can be regarded as an alert both for consumers of manuka honey and for sellers purchasing the product from unproven suppliers, and above all for scientists who conduct research on manuka honeys without confirmation of their authenticity. In turn, the DN and HMF content results point to the questionable quality of the imported manuka honey.

2. Materials and Methods

2.1. Chemicals

Glycerol (pure per analysis grade, ppa grade), gelatine (ppa grade), sodium hydroxide 0.1 M analytical weighed amount, sodium acetate trihydrate (ppa grade), potassium hexacyanoferrate (II) trihydrate (ppa grade), and zinc acetate dihydrate (ppa grade) were purchased from Chempur (Piekary Śląskie, Poland). The Phadebas Honey Diastase Test tablets were bought from Magle Life Sciences (Malmö, Sweden) and glacial acetic acid (ppa grade) from Pol-Aura (Zawroty, Poland). Methanol and hydroxymethylfurfural were obtained from J.T. Baker (Gliwice, Poland) and Merck (Darmstadt, Germany), respectively, and were of HPLC grade. For the analyses, distilled or ultrapure water from the Milli-Q system (Merck, Darmstadt, Germany, resistivity 18.3 MΩ cm) was used.

2.2. Samples

The study included thirty honey samples labeled as manuka honey available on the Polish market. All honeys had current best before dates, and the analyses were carried out immediately after obtaining the samples for testing.

2.3. Melissopalynological Analysis

The pollen analysis of honey was performed according to the previously described procedure with slight modifications [39]. Briefly, ten grams of honey was dissolved in 50 mL distilled water at about 50 °C. The solution was then centrifuged for 8 min (3000 rpm) and, after removing the supernatant, 50 mL of distilled water was added to the sample again and the centrifugation was repeated. After the second centrifugation, the supernatant was not completely removed, leaving a tiny amount of solution above the sediment. The residue was mixed and placed on a microscope slide. Next, the slide was dried and secured with glycerol/gelatine and a coverslip. The collected material was analyzed using an Olympus BX41 microscope (Olympus America, PA, USA)) at 400× magnification. At least 300 consecutive pollen grains of nectar-producing plants were determined on each microscopic slide, and then the percentage content of L. scoparium pollen was calculated. Two repetitions were made for each honey sample and the final result is presented as an average of two results not differing between individual determinations by more than 5%, and rounded to the whole unit (%).

2.4. Diastase Analysis

The diastatic activity was determined by the Phadebas method in which the α-amylase activity is expressed as the diastase number, and is reported in Schade units [40]. One Schade unit corresponds to the enzyme activity contained in 1 g of honey, which can hydrolyze 0.01 g of starch in 1 hour at 40 °C. The procedure was as follows: first, 1 g of the analyzed honey was weighed, transferred to a 100 mL volumetric flask, and filled up to its volume with 0.1 M acetate buffer at pH = 5.2. Then, 5 milliliters of the sample was transferred to the test tube, placed in a water bath at 40 °C, and after 15 min a Phadebas tablet was added to the solution. The solution was mixed and heated again in a water bath for 30 min. After this time, 1 mL of 0.5 M sodium hydroxide solution was added to complete the enzymatic reaction. Next, the solution was filtered through a filter paper (φ = 70 mm) and the absorbance at 620 nm was measured using a Specord 200 spectrophotometer (Analytic Jena, Jena, Germany) as it is in proportion to the enzyme activity in the analyzed honey sample. The measurements were collected in triplicate and the final result is their average.

2.5. Hydroxymethylfurfural Analysis

The HMF content in the analyzed honey samples was determined chromatographically with the application of a Knauer HPLC system (Knauer GmbH, Berlin, Germany) equipped with an UV K-2501 detector and with a reversed-phase C-18 Vertex Plus Eurospher column (BGB Analytik Vertrieb GmbH, Lörrach, Germany), as described previously [41]. The internal diameter of column was 4 mm, length 250 mm, and particle size 5 μm. The column and detector were placed on a thermostat at 30 °C. As a mobile phase, a mixture of methanol and deionized water (10:90, v/v) was used, and the flow rate was 1 mL·min−1. For the quantitative analysis of HMF, the external standard method was applied. The determinations were carried out in triplicate. Honey samples were prepared based on the European Honey Commission procedure [40].

3. Results and Discussion

The first stage of the research included the melissopalynological analysis of the examined honey samples. For each honey, at least 300 consecutive pollen grains of nectar-producing plants, including L. scoparium pollen, were identified and counted, and then the percentage of L. scoparium pollen content was calculated on this basis. The microscopic image of L. scoparium pollen found in the analyzed honeys is presented in Figure 1. As can be seen, the pollen grain is small (~15–20 µm), triangular in polar view, isopolar, and tricolporate, which is consistent with the literature data [42,43]. It is also worth noting that the sides of the pollen sometimes appear concave, while the angles appear extended [43]. Most of the studies to date report a significant resemblance between manuka and kanuka pollen; consequently, melissopalynological studies tend to combine them [28,43,44]. Despite its imperfections, this method is still useful as it allows for the simple verification of the presence and quantity of manuka-like pollen in a honey sample.
The results obtained from the pollen analysis of thirty honey samples labeled as manuka honeys are listed in Table 1. As shown, the percentage of L. scoparium pollen grains in the analyzed honeys varied from 45 to 90%. Importantly, as much as 47% of the tested honeys indicate a low content of manuka tree pollen, lower than the Moar’s limit (70%) for honey to be called manuka honey [28]. The obtained results point to the wide diversity in the manuka pollen composition of commercially available manuka honeys, and simultaneously prove the importance of the melissopalynological analysis of purchased honeys, especially in order to verify the authenticity of honey without the use of advanced methods.
In the next step, the activity level of α-amylase was determined and plotted in Figure 2. While the DN was estimated for all analyzed honey samples, we focus our discussions on the results obtained for the melissopalynologically classified manuka honey samples; that is, honeys that contain at least 70% of manuka pollen (shaded area of the graph). As illustrated, the diastase level ranged from 1.8 to 15.2 Schade units, but was mostly lower than 8 Schade units. According to the European Directive that governs the standards for honey sold in the European market, a minimum diastase level of 8 Schade units is necessary for honey to be deemed of good quality and acceptable; thus, the vast majority of the analyzed manuka honeys do not meet this requirement [15]. In fact, merely five manuka honeys (31%) had a diastase activity higher than 8 Schade units. Nevertheless, honeys with naturally low enzymatic activity are known, such as Acacia, Becium grandiflorum, Croton macrostachyus, Eucalyptus globulus, Hypoestes, Leucas abyssinica, Schefflera abyssinica, Syzygium guineense, and Vernonia amygdalina monofloral honeys [15,45]. Such honeys are characterized by a DN value between 3 and 8 Schade units and an HMF content lower than 15 mg·kg−1 [15,46].
Figure 3 provides the HMF content in the manuka honey samples evaluated in this study. Only two melissopalynologically classified manuka honeys showed the HMF content below 15 mg·kg−1, more precisely 13.5 ± 1.8 mg·kg−1 (when the percentage of L. scoparium pollen grains was 76%) and 5.1 ± 1.5 mg·kg−1 (when the percentage of L. scoparium pollen grains was 85%). However, the DN for these samples was 14.3 ± 2.9 Schade units and 15.2 ± 3.0 Schade units, respectively. This denotes that the low level of HMF present in this honey does not coincide with a low level of diastase activity, which would typically be expected in honeys with naturally low enzymatic activity. Thus, even though manuka honey is most often characterized by a low level of α-amylase activity, it should not be considered a honey with intrinsically low enzyme activity as it does not fulfill the second condition for such honeys [15]. The low DN may result from thermal treatments or long-term storage, as well as from storage under inappropriate conditions [47].
Nearly all of the manuka honey samples with a high content of manuka pollen (shaded area in Figure 3) satisfy the maximum limit of HMF content allowed by the European Directive, which is 40 mg·kg−1 [15]. Specifically, the HMF content ranged from 5.1 to 55.5 mg·kg−1 and two samples (13%) exceeded the permissible limit. These two samples had HMF values of 45.2 ± 4.5 mg·kg−1 and 55.5 ± 5.6 mg·kg−1, and were characterized by a DN equal to 2.1 ± 0.5 Schade units and 1.8 ± 0.5 Schade units, respectively. Such a combination of HMF content and DN clearly indicates that the honeys were of poor quality, presumably due to overheating or improper/prolonged storage [48]. According to European regulations, these honeys should be withdrawn from sale, especially since the HMF impact on human health is ambiguous [15,41,49,50]. Other melissopalynologically classified manuka honeys, based on the HMF content, may have been released for consumption.
To gain further insight into the characteristic of commercially available manuka honeys, the correlation between the DN value and HMF content was analyzed. As can be seen in Figure 4, showing a comparison of the regression graph between the diastatic activity and HMF content obtained for thirty honey samples labeled and sold as manuka honeys (Figure 4a) and for the manuka honeys with a high content of manuka pollen, that is, honeys that contain at least 70% of manuka pollen (Figure 4b); in both cases, the DN presents a substantial negative relationship with HMF. Regression equations for diastase activity to HMF content for all analyzed honey samples and for melissopalynologically classified manuka honeys were y = −0.2086x + 13.759 and y =−0.2762x + 14.361, respectively. This shows that the negative regression is even more significant when the manuka honeys with a high content of manuka pollen are considered. Notably, the obtained dependencies are in good agreement with the knowledge that a high HMF content is a marker of excessive heating or improper storage of honey, which in turn causes a decrease in the enzymatic activity. Similar behavior was reported in the study of the Ethiopian monofloral honeys [45]. As a result of the regression analysis of these honeys, the following regression equation for DN to HMF was obtained: y = −0.1389x + 6.3701 [45]. In addition, the study of honeys from Bosnia and Herzegovina and Algeria also revealed a negative correlation between the diastase activity and HMF content [51,52].
A concise summary of the results obtained for the melissopalynologically classified manuka honeys is presented in Table 2. As depicted, the average percentage of L. scoparium pollen grains in the analyzed honeys was 77.7 ± 5.7%, while the mean DN and the mean HMF content were 6.4 ± 4.0 Schade units and 29.0 ± 12.7 mg·kg−1, respectively. These results indicate there is a wide variety of manuka honeys available on the Polish market in terms of enzymatic activity and HMF content. In addition, a significant part of these honeys do not meet the requirements of the European Directive authorizing honey for use, mainly due to the low DN. The obtained results suggest that the analyzed manuka honeys were stored under inappropriate conditions for long periods of time or were intentionally heated, for example in order to achieve a higher content of methylglyoxal, a compound believed to be the predominant antibacterial constituent of manuka honey [53]. Thus, the physicochemical quality of these imported honeys is questionable.

4. Conclusions

In the paper, thirty honey samples labeled and sold as manuka honey were tested for their pollen composition, diastase number, and HMF content. The obtained results indicate the large diversity of manuka honey available on the Polish market both in terms of the percentage of L. scoparium pollen grains and the enzymatic activity or HMF content. The most striking observation from the experiments is that, according to Moar’s statement and based on the pollen analysis, almost half of the analyzed honeys should not be classified as manuka honeys since their L. scoparium pollen content did not meet the required minimum. Presumably, the Polish market is not the only market facing such a problem. Thus, the presented results can be regarded as a general warning for consumers of manuka honey and for sellers purchasing the product from unverified suppliers, and above all for scientists conducting research on manuka honey without confirmation of its authenticity. It is also worth emphasizing that a significant proportion of the analyzed honeys had a low DN, lower than the European Directive limit for the honey to be approved for use. The low diastase activity was not associated with the low HMF content, and therefore it would be incorrect to assume that manuka honey naturally has low enzymatic activity. The low value of DN and relatively high HMF content indicate, in turn, the flawed physicochemical quality of these commercially available honeys. The present research encourages further study of natural (without any additional processing) and commercially available manuka honeys. It is reasonable, for example, to extend the research by using other hallmarks of manuka honeys in order to establish their authenticity or adulteration on the basis of further scientific evidence.

Author Contributions

Conceptualization, A.S. and T.S.; formal analysis, A.S. and T.S.; investigation, A.P.; data curation, A.S.; writing—original draft preparation, A.S.; writing—review and editing, A.S. and T.S.; visualization, A.S.; supervision, T.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Data Availability Statement

All data generated or analyzed during this study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Patel, S.; Cichello, S. Manuka Honey: An Emerging Natural Food with Medicinal Use. Nat. Prod. Bioprospect. 2013, 3, 121–128. [Google Scholar] [CrossRef] [Green Version]
  2. El-Senduny, F.F.; Hegazi, N.M.; Abd Elghani, G.E.; Farag, M.A. Manuka Honey, a Unique Mono-Floral Honey. A Comprehensive Review of Its Bioactives, Metabolism, Action Mechanisms, and Therapeutic Merits. Food Biosci. 2021, 42, 101038. [Google Scholar] [CrossRef]
  3. Kilty, S.J.; Duval, M.; Chan, F.T.; Ferris, W.; Slinger, R. Methylglyoxal: (Active Agent of Manuka Honey) in Vitro Activity against Bacterial Biofilms. Int. Forum Allergy Rhinol. 2011, 1, 348–350. [Google Scholar] [CrossRef]
  4. Shahzad, A.; Cohrs, R.J. In Vitro Antiviral Activity of Honey against Varicella Zoster Virus (VZV): A Translational Medicine Study for Potential Remedy for Shingles. Transl. Biomed. 2012, 3, 2. [Google Scholar] [CrossRef] [PubMed]
  5. Jenkins, R.; Cooper, R. Improving Antibiotic Activity against Wound Pathogens with Manuka Honey In Vitro. PLoS ONE 2012, 7, e45600. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Rosendale, D.I.; Maddox, I.S.; Miles, M.C.; Rodier, M.; Skinner, M.; Sutherland, J. High-Throughput Microbial Bioassays to Screen Potential New Zealand Functional Food Ingredients Intended to Manage the Growth of Probiotic and Pathogenic Gut Bacteria. Int. J. Food Sci. Technol. 2008, 43, 2257–2267. [Google Scholar] [CrossRef]
  7. Almasaudi, S.B.; Abbas, A.T.; Al-Hindi, R.R.; El-Shitany, N.A.; Abdel-Dayem, U.A.; Ali, S.S.; Saleh, R.M.; Al Jaouni, S.K.; Kamal, M.A.; Harakeh, S.M. Manuka Honey Exerts Antioxidant and Anti-Inflammatory Activities That Promote Healing of Acetic Acid-Induced Gastric Ulcer in Rats. Evid.-Based Complement. Altern. Med. 2017, 2017, 5413917. [Google Scholar] [CrossRef] [Green Version]
  8. Leong, A.G.; Herst, P.M.; Harper, J.L. Indigenous New Zealand Honeys Exhibit Multiple Anti-Inflammatory Activities. Innate Immun. 2012, 18, 459–466. [Google Scholar] [CrossRef] [Green Version]
  9. Alvarez-Suarez, J.M.; Gasparrini, M.; Forbes-Hernández, T.Y.; Mazzoni, L.; Giampieri, F. The Composition and Biological Activity of Honey: A Focus on Manuka Honey. Foods 2014, 3, 420–432. [Google Scholar] [CrossRef] [Green Version]
  10. Martinotti, S.; Pellavio, G.; Patrone, M.; Laforenza, U.; Ranzato, E. Manuka Honey Induces Apoptosis of Epithelial Cancer Cells through Aquaporin-3 and Calcium Signaling. Life 2020, 10, 256. [Google Scholar] [CrossRef]
  11. Al Refaey, H.R.; Newairy, A.-S.A.; Wahby, M.M.; Albanese, C.; Elkewedi, M.; Choudhry, M.U.; Sultan, A.S. Manuka Honey Enhanced Sensitivity of HepG2, Hepatocellular Carcinoma Cells, for Doxorubicin and Induced Apoptosis through Inhibition of Wnt/β-Catenin and ERK1/2. Biol. Res. 2021, 54, 16. [Google Scholar] [CrossRef]
  12. Halawani, E.M. Potential Effects of Saudi Shaoka (Fagonia bruguieri) Honey against Multi-Drug-Resistant Bacteria and Cancer Cells in Comparison to Manuka Honey. Saudi J. Biol. Sci. 2021, 28, 7379–7389. [Google Scholar] [CrossRef]
  13. Aryappalli, P.; Shabbiri, K.; Masad, R.J.; Al-Marri, R.H.; Haneefa, S.M.; Mohamed, Y.A.; Arafat, K.; Attoub, S.; Cabral-Marques, O.; Ramadi, K.B.; et al. Inhibition of Tyrosine-Phosphorylated STAT3 in Human Breast and Lung Cancer Cells by Manuka Honey Is Mediated by Selective Antagonism of the IL-6 Receptor. Int. J. Mol. Sci. 2019, 20, 4340. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Afrin, S.; Forbes-Hernandez, T.Y.; Gasparrini, M.; Bompadre, S.; Quiles, J.L.; Sanna, G.; Spano, N.; Giampieri, F.; Battino, M. Strawberry-Tree Honey Induces Growth Inhibition of Human Colon Cancer Cells and Increases ROS Generation: A Comparison with Manuka Honey. Int. J. Mol. Sci. 2017, 18, 613. [Google Scholar] [CrossRef] [Green Version]
  15. Bogdanov, S.; Lullmann, C.; Mossel, B.; D’Arcy, B.; Russmann, H.; Vorwohl, G.; Oddo, L.; Sabatini, A.; Marcazzan, G.; Piro, R.; et al. Honey Quality, Methods of Analysis and International Regulatory Standards: Review of the Work of the International Honey Commission. Mitt. Lebensm. Hyg. 1999, 90, 108–125. [Google Scholar]
  16. Pasias, I.N.; Kiriakou, I.K.; Proestos, C. HMF and Diastase Activity in Honeys: A Fully Validated Approach and a Chemometric Analysis for Identification of Honey Freshness and Adulteration. Food Chem. 2017, 229, 425–431. [Google Scholar] [CrossRef]
  17. Fauzi, N.A.; Farid, M.M. High-Pressure Processing of Manuka Honey: Brown Pigment Formation, Improvement of Antibacterial Activity and Hydroxymethylfurfural Content. Int. J. Food Sci. Technol. 2015, 50, 178–185. [Google Scholar] [CrossRef] [Green Version]
  18. Stephens, J.M.; Schlothauer, R.C.; Morris, B.D.; Yang, D.; Fearnley, L.; Greenwood, D.R.; Loomes, K.M. Phenolic Compounds and Methylglyoxal in Some New Zealand Manuka and Kanuka Honey. Food Chem. 2010, 120, 78–86. [Google Scholar] [CrossRef]
  19. Al-Habsi, N.A.; Niranjan, K. Effect of High Hydrostatic Pressure on Antimicrobial Activity and Quality of Manuka Honey. Food Chem. 2012, 135, 1448–1454. [Google Scholar] [CrossRef]
  20. Moniruzzaman, M.; Sulaiman, S.A.; Khalil, M.I.; Gan, S.H. Evaluation of Physicochemical and Antioxidant Properties of Sourwood and Other Malaysian Honeys: A Comparison with Manuka Honey. Chem. Central J. 2013, 7, 138. [Google Scholar] [CrossRef] [Green Version]
  21. Alqarni, A.S.; Owayss, A.A.; Mahmoud, A.A. Physicochemical Characteristics, Total Phenols and Pigments of National and International Honeys in Saudi Arabia. Arab. J. Chem. 2016, 9, 114–120. [Google Scholar] [CrossRef] [Green Version]
  22. Grainger, M.N.C.; Owens, A.; Manley-Harris, M.; Lane, J.R.; Field, R.J. Kinetics of Conversion of Dihydroxyacetone to Methylglyoxal in New Zealand Mānuka Honey: Part IV—Formation of HMF. Food Chem. 2017, 232, 648–655. [Google Scholar] [CrossRef]
  23. Chernyshev, A.; Braggins, T. Investigation of Temporal Apparent C4 Sugar Change in Manuka Honey. J. Agric. Food Chem. 2020, 68, 4261–4267. [Google Scholar] [CrossRef]
  24. Septiani, A.; Suryati, T.; Apriantini, A.; Endrawati, Y.C. Characteristics of Forest and Manuka Honey As Well As Their Application as Herbal Honey Drinks with The Addition of Qusthul Hindi and Turmeric. J. Ilmu Dan Teknol. Has. Ternak (JITEK) 2022, 17, 183–196. [Google Scholar] [CrossRef]
  25. Gkoutzouvelidou, M.; Panos, G.; Xanthou, M.N.; Papachristoforou, A.; Giaouris, E. Comparing the Antimicrobial Actions of Greek Honeys from the Island of Lemnos and Manuka Honey from New Zealand against Clinically Important Bacteria. Foods 2021, 10, 1402. [Google Scholar] [CrossRef] [PubMed]
  26. Zhang, Y.-Z.; Si, J.-J.; Li, S.-S.; Zhang, G.-Z.; Wang, S.; Zheng, H.-Q.; Hu, F.-L. Chemical Analyses and Antimicrobial Activity of Nine Kinds of Unifloral Chinese Honeys Compared to Manuka Honey (12+ and 20+). Molecules 2021, 26, 2778. [Google Scholar] [CrossRef] [PubMed]
  27. Pasias, I.N.; Kiriakou, I.K.; Kaitatzis, A.; Koutelidakis, A.E.; Proestos, C. Effect of Late Harvest and Floral Origin on Honey Antibacterial Properties and Quality Parameters. Food Chem. 2018, 242, 513–518. [Google Scholar] [CrossRef]
  28. Moar, N.T. Pollen Analysis of New Zealand Honey. N. Z. J. Agric. Res. 1985, 28, 39–70. [Google Scholar] [CrossRef]
  29. Ministry for Primary Industries. Determination of Four Chemical Characterisation Compounds in Honey by Liquid Chromatography Tandem Mass Spectrometry (LC-MS/MS); MPI Technical Paper No: 2017/30; New Zealand Government: Wellington, New Zealand, 2017.
  30. Ministry for Primary Industries. Multiplex QPCR for Detection of Leptospermum Scoparium DNA from Pollen in Honey; MPI Technical Paper No 2017/31; New Zealand Government: Wellington, New Zealand, 2017.
  31. Loh, L.X.; Lee, H.H.; Stead, S.; Ng, D.H.J. Manuka Honey Authentication by a Compact Atmospheric Solids Analysis Probe Mass Spectrometer. J. Food Compos. Anal. 2022, 105, 104254. [Google Scholar] [CrossRef]
  32. Yan, L.; Xu, D.; Xue, X.; Lin, L.; Lai, K.; Wang, J.; Zhang, Z. Authenticity identification of manuka honey using liquid chromatography-high resolution mass spectrometry based metabolomic technique. Chin. J. Chromatogr. 2019, 37, 589–596. [Google Scholar] [CrossRef]
  33. Bong, J.; Prijic, G.; Braggins, T.J.; Schlothauer, R.C.; Stephens, J.M.; Loomes, K.M. Leptosperin Is a Distinct and Detectable Fluorophore in Leptospermum Honeys. Food Chem. 2017, 214, 102–109. [Google Scholar] [CrossRef] [PubMed]
  34. Spiteri, M.; Rogers, K.M.; Jamin, E.; Thomas, F.; Guyader, S.; Lees, M.; Rutledge, D.N. Combination of 1H NMR and Chemometrics to Discriminate Manuka Honey from Other Floral Honey Types from Oceania. Food Chem. 2017, 217, 766–772. [Google Scholar] [CrossRef]
  35. Majtan, J. Methylglyoxal-a Potential Risk Factor of Manuka Honey in Healing of Diabetic Ulcers. Evid.-Based Complement. Altern. Med. 2011, 2011, 295494. [Google Scholar] [CrossRef] [Green Version]
  36. Zheng, J.; Guo, H.; Ou, J.; Liu, P.; Huang, C.; Wang, M.; Simal-Gandara, J.; Battino, M.; Jafari, S.M.; Zou, L.; et al. Benefits, Deleterious Effects and Mitigation of Methylglyoxal in Foods: A Critical Review. Trends Food Sci. Technol. 2021, 107, 201–212. [Google Scholar] [CrossRef]
  37. Kato, Y.; Kishi, Y.; Okano, Y.; Kawai, M.; Shimizu, M.; Suga, N.; Yakemoto, C.; Kato, M.; Nagata, A.; Miyoshi, N. Methylglyoxal Binds to Amines in Honey Matrix and 2′-Methoxyacetophenone Is Released in Gaseous Form into the Headspace on the Heating of Manuka Honey. Food Chem. 2021, 337, 127789. [Google Scholar] [CrossRef]
  38. Johnston, M.; McBride, M.; Dahiya, D.; Owusu-Apenten, R.; Nigam, P.S. Antibacterial Activity of Manuka Honey and Its Components: An Overview. AIMS Microbiol. 2018, 4, 655–664. [Google Scholar] [CrossRef] [PubMed]
  39. Louveaux, J.; Maurizio, A.; Vorwohl, G. Methods of Melissopalynology. Bee World 1978, 59, 139–157. [Google Scholar] [CrossRef]
  40. Bogdanov, S.; Martin, P.; Lullmann, C.; Borneck, R.; Flamini, C.; Morlot, M.; Lheritier, J.; Vorwohl, G.; Russmann, H.; Persano, L.; et al. Harmonised Methods of the European Honey Commission. Apidologie 1997, 28, 1–59. [Google Scholar]
  41. Szczęsna, T.; Waś, E.; Semkiw, P.; Skubida, P.; Jaśkiewicz, K.; Witek, M. Changes of Physicochemical Properties of Starch Syrups Recommended for Winter Feeding of Honeybees during Storage. Agriculture 2021, 11, 374. [Google Scholar] [CrossRef]
  42. Moar, N.T.; Wilmshurst, J.M.; McGlone, M.S. Standardizing Names Applied to Pollen and Spores in New Zealand Quaternary Palynology. N. Z. J. Bot. 2011, 49, 201–229. [Google Scholar] [CrossRef]
  43. Li, X.; Prebble, J.G.; de Lange, P.J.; Raine, J.I.; Newstrom-Lloyd, L. Discrimination of Pollen of New Zealand Mānuka (Leptospermum Scoparium agg.) and Kānuka (Kunzea spp.) (Myrtaceae). PLoS ONE 2022, 17, e0269361. [Google Scholar] [CrossRef] [PubMed]
  44. Hegazi, N.M.; Elghani, G.E.A.; Farag, M.A. The Super-Food Manuka Honey, a Comprehensive Review of Its Analysis and Authenticity Approaches. J. Food Sci. Technol. 2022, 59, 2527–2534. [Google Scholar] [CrossRef] [PubMed]
  45. Belay, A.; Haki, G.D.; Birringer, M.; Borck, H.; Lee, Y.-C.; Kim, K.-T.; Baye, K.; Melaku, S. Enzyme Activity, Amino Acid Profiles and Hydroxymethylfurfural Content in Ethiopian Monofloral Honey. J. Food Sci. Technol. 2017, 54, 2769–2778. [Google Scholar] [CrossRef]
  46. Zappalà, M.; Fallico, B.; Arena, E.; Verzera, A. Methods for the Determination of HMF in Honey: A Comparison. Food Control 2005, 16, 273–277. [Google Scholar] [CrossRef]
  47. Korkmaz, S.D.; Küplülü, Ö. Effects of Storage Temperature on HMF and Diastase Activity of Strained Honeys. Ank. Univ. Vet. Fak. Derg. 2017, 64, 281–287. [Google Scholar] [CrossRef]
  48. da Silva, P.M.; Gauche, C.; Gonzaga, L.V.; Costa, A.C.O.; Fett, R. Honey: Chemical Composition, Stability and Authenticity. Food Chem. 2016, 196, 309–323. [Google Scholar] [CrossRef]
  49. Kowalski, S.; Lukasiewicz, M.; Duda-Chodak, A.; Zięć, G. 5-Hydroxymethyl-2-Furfural (HMF)—Heat-Induced Formation, Occurrence in Food and Biotransformation—A Review. Pol. J. Food Nutr. Sci. 2013, 63, 207–225. [Google Scholar] [CrossRef] [Green Version]
  50. Shapla, U.M.; Solayman, M.; Alam, N.; Khalil, M.I.; Gan, S.H. 5-Hydroxymethylfurfural (HMF) Levels in Honey and Other Food Products: Effects on Bees and Human Health. Chem. Cent. J. 2018, 12, 35. [Google Scholar] [CrossRef]
  51. Ćirić, J.; Sando, D.; Spirić, D.; Janjić, J.; Bošković, M.; Glišić, M.; Baltić, M.Ž. Characterisation of Bosnia and Herzegovina Honeys According to Their Physico-Chemical Properties during 2016-2017. Meat Technol. 2018, 59, 46–53. [Google Scholar] [CrossRef] [Green Version]
  52. Makhloufi, C.; Taïbi, K.; Ait Abderrahim, L. Characterization of Invertase and Diastase Activities, 5-Hydroxymethylfurfural Content and Hydrogen Peroxide Production of Some Algerian Honeys. Iran. J. Sci. Technol. Trans. Sci. 2020, 44, 1295–1302. [Google Scholar] [CrossRef]
  53. Mavric, E.; Wittmann, S.; Barth, G.; Henle, T. Identification and Quantification of Methylglyoxal as the Dominant Antibacterial Constituent of Manuka (Leptospermum scoparium) Honeys from New Zealand. Mol. Nutr. Food Res. 2008, 52, 483–489. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Microscopic image of L. scoparium pollen under 400× magnification.
Figure 1. Microscopic image of L. scoparium pollen under 400× magnification.
Foods 12 02930 g001
Figure 2. The diastase number (DN) in the analyzed honeys.
Figure 2. The diastase number (DN) in the analyzed honeys.
Foods 12 02930 g002
Figure 3. The hydroxymethylfurfural (HMF) content in the analyzed honeys.
Figure 3. The hydroxymethylfurfural (HMF) content in the analyzed honeys.
Foods 12 02930 g003
Figure 4. The correlation between the diastase number (DN) and hydroxymethylfurfural (HMF) content obtained for: (a) thirty honey samples labeled and sold as manuka honeys; (b) the part of the examined manuka honeys that contains at least 70% of manuka pollen.
Figure 4. The correlation between the diastase number (DN) and hydroxymethylfurfural (HMF) content obtained for: (a) thirty honey samples labeled and sold as manuka honeys; (b) the part of the examined manuka honeys that contains at least 70% of manuka pollen.
Foods 12 02930 g004
Table 1. The percentage of L. scoparium (LS) pollen grains in the analyzed honeys.
Table 1. The percentage of L. scoparium (LS) pollen grains in the analyzed honeys.
Sample NumberLS Pollen Grains
1.45%
2.51%
3.52%
4.52%
5.54%
6.55%
7.61%
8.64%
9.65%
10.65%
11.66%
12.67%
13.68%
14.68%
15.70%
16.71%
17.71%
18.73%
19.74%
20.75%
21.76%
22.76%
23.78%
24.78%
25.78%
26.80%
27.83%
28.85%
29.85%
30.90%
Table 2. Summary of the characteristics of the melissopalynologically classified manuka honeys.
Table 2. Summary of the characteristics of the melissopalynologically classified manuka honeys.
ParameterUnitMinMaxMeanSD
L. scoparium pollen%70.090.077.75.7
Diastase numberSchade1.815.26.44.0
HMF contentmg·kg−15.155.529.012.7
SD—Standard Deviation.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Sęk, A.; Porębska, A.; Szczęsna, T. Quality of Commercially Available Manuka Honey Expressed by Pollen Composition, Diastase Activity, and Hydroxymethylfurfural Content. Foods 2023, 12, 2930. https://doi.org/10.3390/foods12152930

AMA Style

Sęk A, Porębska A, Szczęsna T. Quality of Commercially Available Manuka Honey Expressed by Pollen Composition, Diastase Activity, and Hydroxymethylfurfural Content. Foods. 2023; 12(15):2930. https://doi.org/10.3390/foods12152930

Chicago/Turabian Style

Sęk, Alicja, Aneta Porębska, and Teresa Szczęsna. 2023. "Quality of Commercially Available Manuka Honey Expressed by Pollen Composition, Diastase Activity, and Hydroxymethylfurfural Content" Foods 12, no. 15: 2930. https://doi.org/10.3390/foods12152930

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop