Seung Hee Park1, Young Ki Kim2, Moon Seob Kim2, Seung Ho Lee1. 1. Department of Nano-Bioengineering, Incheon National University, Incheon 22012, Korea. 2. Division of Special Purpose Trees, National Institute of Forest Science, Suwon 16631, Korea.
Honey is a well-known natural sweet food and has been considered an important source
of traditional medicine (Eteraf-Oskouei and Najafi,
2013). Honey can be classified by the floral source because honeybees use
nectar to produce honey. If a honeybee uses the nectar of many types of flowers to
produce honey, it is classified as polyfloral honey, and it is also referred to as
wildflower honey; however, if a honeybee uses the nectar of one type of flower to
produce honey, it is classified as monofloral honey (Louveaux et al., 1978). Because pollen is a traceable floral source, a
melissopalynological analysis is used to identify the types of plant sources used by
honeybees for the production of honey. When the pollen of monofloral honey is
analyzed in practice, many other types of pollen are often detected because
honeybees have access to other types of honey plants even if the beehives are in a
field where honeybees have access to only one type of honey plant. Therefore,
generally, honey is recognized as monofloral honey when the content of the majority
of the pollen is more than 45% of the total pollen (Olga et al., 2012; Soria et
al., 2004).There are several types of monofloral honey worldwide. Because each type of
monofloral honey has distinct characteristics, such as flavor, taste, and
physiochemical properties, which are derived from their botanical origins, there has
been increased consumer demand for a better flavor and specific pharmacological
attributes of monofloral honey, and thus the commercial value of monofloral honey
has gradually increased (Pires et al.,
2009).In South Korea, more than 70% of annual honey production is comprised of
Acacia (Robinia pseudoacacia) honey; however, recently, the total
amount of honey production in South Korea has dramatically decreased because climate
change has decreased the period of blooming as well as the growth of the acacia
flower, resulting in the reduction of total honey production in South Korea (Kohsaka et al., 2017). Therefore, developing a
new candidate for a honey plant to compensate for the decrease in Acacia honey
production is strongly required in South Korea. The Hovenia (Hovenia
dulcis) tree is found in East Asian countries, such as China, Japan,
and Korea, and is also reported to be found in the Himalayas up to altitudes of
2,000 m (Hyun et al., 2010). The Hovenia tree
prefers to grow in a sunny position, and the blooming period is about 20 days from
June to July. The nectar production of the Hovenia flower is higher than that of the
Acacia flower (Han et al., 2018; Song et al.,
2014). Thus, Hovenia trees have been considered a candidate for honey
plants in South Korea. There is a regional report that discusses the antioxidant
activity of Hovenia honey produced in South Korea; however, the honey used for the
study was harvested in open fields without a pollen analysis, indicating a low
reliability regarding the purity of the Hovenia honey used (Paik et al., 2015). Therefore, for a more accurate and reliable
evaluation of the value of Hovenia trees as honey plants, an investigation of the
physiochemical, antioxidant, and antibacterial properties of Hovenia monofloral
honey must be performed before increasing the number of Hovenia trees for the
production of honey.In this study, the physiochemical properties and antioxidant activity of Hovenia
monofloral honey, which was prepared using a net house system, was investigated
along with the antibacterial activity of Hovenia monofloral honey against foodborne
bacteria.
Materials and Methods
Preparation of Hovenia (Hovenia dulcis) monofloral
honey
Twenty-six Hovenia trees and honeybees (Apis mellifera) were
cultured in a net house (23 m×13 m×9 m : W×D×H)
constructed by the Korea Forest Research Institute (Suwon, Korea), and Hovenia
monofloral honey-1 and Hovenia monofloral honey-2 were harvested on June 21,
2019, and July 2, 2019, respectively. Two types of acacia honey were obtained
from the Korea Beekeeping Agricultural Cooperative and the National Institute of
Forest Science, respectively, and were used as reference honey. Honey samples
were stored at 4°C under a dark condition until analysis.
Physiochemical analysis
To determine the moisture content, the honey sample was dried in a dry oven
(Wiseven WOF-105, Daihan Scientific, Seoul, Korea) at 105°C until a
constant mass was obtained. Ash content was determined by calcinations in an
Electric Muffle Furnace (JSMF-270T, JSR, Gongju, Korea) at 600°C until
the honey sample reached a constant weight. An electrical conductivity (EC) of
20% (w/v) of a honey solution was measured using an EC meter. The
hydroxymethylfurfural (HMF) and the carbon isotope ratio were measured using the
standardized method listed in the Korean Food Code (Ministry of Food and Drug Safety of Korea, 2019).Glucose, fructose, and sucrose content was determined using a high-performance
liquid chromatograph (HPLC, Agilent Technologies, Palo Alto, CA, USA) equipped
with an Ri-101 detector (Showa Denko K.K., Kawasaki, Japan). Briefly, the honey
sample (5 g) was mixed with 25 mL of petroleum ether. Then, 25 mL of distilled
water was added, and it was incubated in a water bath at 85°C for 25 min.
The sugar solution extracted from the honey was filtered using a 0.45 μm
membrane filter. Finally, it was separated using a PhenoSphere NH2 80A column
(250 mm×4.6 mm, 5 μm, Phenomenex, Torrance, CA, USA). The mobile
phase was composed of 80% acetonitrile. The injection volume of the
samples was 20 μL with a flow rate of 1.0 mL/min.
Mineral contents
The honey sample (1 g) was mixed with nitric acid (5 mL) and incubated for 1 h at
room temperature. Then, the mixture was heated at 200°C for 2 h and made
20 mL by adding distilled water. Ca, Cu, Fe, K, Mg, Mn, Na, P, and Zn content
was measured using inductively coupled plasma optical emission spectroscopy (720
ICP-OES, Agilent Technologies) equipped with a VistaChip II CCD detector
(Agilent Technologies). The detection limit of the mineral content was less than
0.1 mg/L.
Melissopalynological analysis
A melissopalynological analysis was performed according to the method of Louveaux (1978) with some modifications. The
honey sample (10 g) was diluted in 10 mL of distilled water and incubated at
37°C for 10 min. After the honey solution was centrifuged at
1,500×g for 10 min, the sediment of the honey solution was washed with 5
mL of distilled water and centrifuged again at 1,000×g for 5 min. Then,
the sediment was resuspended in 50 μL of 50% (w/v) glycerin. The
sediment of the solution was spread on a 22×22 mm area on a slide. More
than 300 pollen grains were photographed using a microscope (Nikon Eclipse Ti-S,
Tokyo, Japan) and counted.
Antioxidant activity
The 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity of Hovenia
honey was determined according to the method of Tuberoso (2013). Five hundred μL of an aqueous honey solution
(10%, w/w) was mixed with 2.5 mL of a 200 μM DPPH solution and
incubated in the dark for 1 h at room temperature. The absorbance of the
solution was measured at 517 nm using a UV/Vis spectrophotometer (Optizen POP,
Mecasys, Daejeon, Korea). DPPH scavenging activity was calculated by the
following equation:Where A is the absorption of all reagents, B is the absorption of the honey
solution, and C is the absorption of all reagents without the honey solution.
Trolox was used to determine the standard curve (25–300 μM,
r2=0.995). The antioxidant capacity was expressed as the
μmol of Trolox equivalent (TE)/100 g of honey.The 2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) radical
scavenging activity of Hovenia honey was determined according to the methods of
Tuberoso (2013). The ABTS radical
solution was prepared by reacting 10 mL of 2 mM ABTS in PBS with 0.1 mL of 70 mM
potassium persulfate. After 16–24 h of incubation in the dark at room
temperature, the ABTS radical solution was diluted with PBS to obtain the
absorbency of 0.7±0.1 at 734 nm. The 70 μL aqueous honey solution
(5%, w/w) and the 1.8 mL ABTS radical solution was mixed and incubated
for 6 min in the dark at room temperature. Finally, the absorbance of the
solution was measured at 734 nm using a UV/Vis spectrophotometer (Optizen POP,
Mecasys). The ABTS radical scavenging activity was calculated by the following
equation:Where A is the absorption of all reagents, B is the absorption of the honey
solution, and C is the absorption of all reagents without the honey solution.
Trolox was used to determine the standard curve (100–500 μM,
r2=0.999). The antioxidant capacity was expressed as the
μmol of Trolox equivalent (TE)/100 g of honey.
Measurement of total phenolic content
The total phenolic content of Hovenia honey was determined using the
Folin-Cioalteu method (Meda et al.,
2005). The 0.5 mL aqueous honey solution (10%, w/w) was mixed with
2 mL of the 0.2 N Folin-Ciocalteu reagent (Sigma-Aldrich, St. Louis, MO, USA)
and incubated at room temperature for 6 min. Then, a 1.5 mL of 7% (w/v)
sodium carbonate solution was added and incubated for 2 h at room temperature.
Finally, the absorbance of the solution was measured at 750 nm using a UV/Vis
spectrophotometer (Optizen POP, Mecasys). Gallic acid (Sigma-Aldrich) was used
to determine the standard curve (12.5–200 μg/mL,
r2=0.999). The total phenolic content was expressed as the mg
of gallic acid equivalent (GAE)/100 g of honey.
Measurement of total flavonoid content
The total flavonoid content of Hovenia honey was determined according to the
methods of Kim et al. (2005). A 0.5mL
aqueous honey solution (20%, w/w), 0.1 mL of 10% (w/v) aluminum
nitrate solution, 0.1 mL of 1M potassium acetate solution, 0.5 mL of 80%
(v/v) ethanol, and 2.8 mL of distilled water were mixed and incubated for 40 min
at room temperature. The absorbance of the solution was measured at 415 nm using
a UV/Vis spectrophotometer (Optizen POP, Mecasys). Quercetin (Sigma-Aldrich) was
used to determine the standard curve (10-80 μg/mL,
r2=0.999). The total flavonoid content was expressed as the mgquercetin equivalent (QE)/100 g of honey.
Measuring the antibacterial activity
Four foodborne pathogens were used in the test. The gram negative bacteria,
Escherichia coli O157:H7 (ATCC 35150) and
Salmonella Typhimurium (KCTC 1925), were grown in Luria
Bertani Broth (Difco, Michigan, MI, USA) at 37°C in an incubator. The
gram positive bacteria, Staphylococcus aureus (ATCC 29213) and
Listria monocytogenes (ACTC 3569), were grown in Brain
Heart Infusion Broth (MB cell, Seoul, Korea) at 37°C in an incubator. The
minimum inhibitory concentration (MIC) of Hovenia honey was determined by the
broth micro-dilution method in 96-well microplates (Bucekova et al., 2018). The 50% (w/v) honey stock
solution in a broth medium was diluted at different concentrations ranging from
1.56 to 50% (w/v). 90 μL of the honey solution was dispensed into
each well. The bacterial cultures were diluted to the 105 CFU/mL
using a broth medium. Then, 10 μL of the diluted bacterial culture was
mixed to test the honey solution and was incubated at 37°C for 18 h. The
absorbance of the culture medium was measured at 490 nm using a micro absorbance
spectrophotometer (iMarkTM Microplate Reader, Hercules, CA, USA).
Results and Discussion
Production of Hovenia monofloral honey
To produce Hovenia monofloral honey, honeybees and Hovenia trees were bred in a
net house (Fig. 1), and honey was harvested
on two different day. The purity was determined by a pollen analysis, and both
honeys showed more than 95% of Hovenia pollen content, which indicated
that the honey produced in the net house was Hovenia monofloral honey (Fig. 2). Because there is no dense, open area
with Hovenia trees to produce Hovenia monofloral honey in Korea, even though the
honey was harvested near Hovenia trees during the Hovenia blossom season, it may
contain several other types of pollen, and the content of major pollen may be
less than 45%. In general, when the major content of pollen is less than
45%, the honey is classified as multifloral honey. Thus, the net house,
which can produce high-purity monofloral honey, could be an optimal small-scale
system used to estimate the potential of the honey plant. Therefore, Hovenia
monofloral honey harvested in a net house system is a good source to evaluate
the potential of the Hovenia tree as a honey plant.
Fig. 1.
Net house system used to produce high-purity Hovenia monofloral
honey.
Hovenia trees were surrounded with a net house (A) and cultivated by
honeybees (Apis melifera) (B). Hovenia monofloral honey
was harvested two times once per week and was used as Hovenia monofloral
honey-1 and -2.
Fig. 2.
Pollen analysis of Hovenia monofloral honey.
A pollen analysis was performed to estimate the purity of Hovenia
monofloral honey produced in a net house. Hovenia pollen was isolated
from Hovenia monofloral honey and photographed. Both Hovenia monofloral
honey-1 (A and C) and -2 (B and D) contained more than 95%
Hovenia pollen. Representative pictures of the Hovenia pollen of Hovenia
monofloral honey-1 (A and C) and -2 (B and D) are shown. The size of the
scale bar is 20 μm.
Net house system used to produce high-purity Hovenia monofloral
honey.
Hovenia trees were surrounded with a net house (A) and cultivated by
honeybees (Apis melifera) (B). Hovenia monofloral honey
was harvested two times once per week and was used as Hovenia monofloral
honey-1 and -2.
Pollen analysis of Hovenia monofloral honey.
A pollen analysis was performed to estimate the purity of Hovenia
monofloral honey produced in a net house. Hovenia pollen was isolated
from Hovenia monofloral honey and photographed. Both Hovenia monofloral
honey-1 (A and C) and -2 (B and D) contained more than 95%
Hovenia pollen. Representative pictures of the Hovenia pollen of Hovenia
monofloral honey-1 (A and C) and -2 (B and D) are shown. The size of the
scale bar is 20 μm.
Physiochemical analysis of Hovenia monofloral honey
The physiochemical properties of Hovenia monofloral honey produced in the net
house were investigated to determine the potential of the type of honey. As
showed in Table 1, Hovenia monofloral
honey was composed of glucose (29.0±0.42%), moisture
(18.9±0.28%), fructose (35.9±0.78%), reducing sugar
(64.9±0.35%), sucrose (3.9±1.63%), and ash
(0.1±0.00%). The contents of HMF were not detected in Hovenia
monofloral honey, and the carbon isotope ratio was −26.6±0.14
‰. All contents of Hovenia monofloral honey were in the range of the
international standards by Codex Alimentarius
(2001) as well as the food code legislated by the Ministry of Food
and Drug Safety of Korea (MFDS, 2019). In
addition, the mineral contents of Hovenia monofloral honey included calcium
(20.1±1.06 mg/L), potassium (407.5±3.11 mg/L), magnesium
(10.7±1.1 mg/L), sodium (1.8±0.28 mg/L), manganese
(2.9±0.14 mg/L), phosphorus (20.6±1.77 mg/L), and zinc
(13.9±15.1 mg/L) (Table 2). These
data suggest that Hovenia monofloral honey produced in a net house system could
be used as a primary honey source, and the net house used in this study could be
used for the large-scale production of Hovenia monofloral honey as well as other
monofloral blossom honeys.
Table 1.
Physiochemical properties of Hovenia monofloral honey
The DPPH and ABTS radical scavenger activity of Hovenia monofloral honey was then
evaluated and compared with that of acacia honey. The two types of acacia honey
used in this study were identified as monofloral honeys by a pollen analysis
(data not shown). As shown in Fig. 3, both
Hovenia monofloral honey-1 (36.3±2.71 μmol TE/100 g honey) and -2
(38.7±1.86 μmol TE/100 g honey) showed a significantly
(p<0.05) higher DPPH radical scavenger activity than that of Acacia
honey-1 (22.4±2.13 μmol TE/100 g honey) and -2 (13.9±0.95
μmol TE/100 g honey); however, although the ABTS radical scavenger
activity of the Acacia honey-2 sample (110.4±6.63 μmol TE/100 g
honey) was slightly lower than that of Hovenia monofloral honeys, the Acacia
honey 1 sample (130.6±6.74 μmol TE/100 g honey) showed a similar
ABTS radical scavenger activity as that of Hovenia monofloral honeys (Hovenia
monofloral honey 1; 129.5±7.07 μmol TE/100 g honey, Hovenia
monofloral honey 2; 141.9±5.49 μmol TE/100 g honey). These results
indicate that Hovenia monofloral honey has a higher antioxidant activity than
Acacia honey when tested with a DPPH radical but not with an ABTS radical.
Interestingly, the amounts of total phenol and total flavonoid were not
significantly different between Hovenia monofloral honey and Acacia honey (Fig. 3C and 3D). Therefore, as the DPPH assay
was used to identify the role of hydrophobic antioxidants in the samples (Arnao et al., 2000), the data suggested that
the type of hydrophobic antioxidants may be different between Hovenia monofloral
honey and Acacia honey. A detailed analysis of the single components of Hovenia
monofloral honey will be performed in a future study.
Fig. 3.
Antioxidant property, total phenol, and total flavonoid contents of
Hovenia monofloral honey.
The DPPH radical scavenger activity (A) and ABTS radical scavenger
activity (B) of Hovenia monofloral honey were estimated and compared
with those of Acacia honey. The contents of the total phenol (C) and
total flavonoid (D) of Hovenia monofloral honey were measured according
to the method described in the Material and Methods section. Different
letters indicate the significant differences between the groups
(p<0.05). DPPH, 1,1-diphenyl-2-picrylhydrazyl; ABTS,
2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid).
Antioxidant property, total phenol, and total flavonoid contents of
Hovenia monofloral honey.
The DPPH radical scavenger activity (A) and ABTS radical scavenger
activity (B) of Hovenia monofloral honey were estimated and compared
with those of Acacia honey. The contents of the total phenol (C) and
total flavonoid (D) of Hovenia monofloral honey were measured according
to the method described in the Material and Methods section. Different
letters indicate the significant differences between the groups
(p<0.05). DPPH, 1,1-diphenyl-2-picrylhydrazyl; ABTS,
2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid).
Antibacterial activity of Hovenia monofloral honey
To estimate the antibacterial activity of Hovenia monofloral honey, the minimum
inhibitory activity of Hovenia monofloral honey against four foodborne bacteria,
including E. coli O157:H7, S. Typhimurium,
S. aureus, and L. monocytogenes was
evaluated (Fig. 4 and Table 3). Hovenia monofloral honey showed
MIC values of 25%–50% (w/v) against two gram negative
foodborne bacteria, E. coli O157:H7 and S.
Typhimurium, and MIC value of 25% (w/v) against two gram positive
foodborne bacterial, S. aureus and L.
monocytogenes. The MIC values are similar to that of Acacia honey
(Fig. 4 and Table 3), suggesting that Hovenia monofloral honey produced
in a net house system has a strong antibacterial activity and can be used for
food preservation against food pathogens. Furthermore, the MIC values of
artificial honey which constituted with sugars (glucose: 33.5 g, fructose: 40.5
g, sucrose: 1.5 g, maltose: 7.5 g in DW: 17 mL) against foodborne bacteria were
more than 50% (w/v) (data not shown) indicated that a part of
antibacterial activity of Hovenia monofloral honey was derived from honey
constituents other than sugar such as phenols and flavonoids.
Fig. 4.
Hovenia monofloral honey inhibited the growth of foodborne
bacteria.
The growth of gram positive (S. aureus and L.
monocytogenes) and gram negative (E. coli
O157:H7 and S. Typhimurium) bacteria were measured with
Hovenia monofloral honey-1(A), Hovenia monofloral honey-2(B), Acacia
honey-1(C), and Acacia honey-2(D) to determine the minimum inhibitory
concentration (MIC). The optimum density (OD) of each bacteria type was
measured using a UV spectrometer at 490 nm.
Table 3.
Antibacterial activity of Hovenia monofloral honey
Hovenia monofloral honey inhibited the growth of foodborne
bacteria.
The growth of gram positive (S. aureus and L.
monocytogenes) and gram negative (E. coli
O157:H7 and S. Typhimurium) bacteria were measured with
Hovenia monofloral honey-1(A), Hovenia monofloral honey-2(B), Acacia
honey-1(C), and Acacia honey-2(D) to determine the minimum inhibitory
concentration (MIC). The optimum density (OD) of each bacteria type was
measured using a UV spectrometer at 490 nm.
Conclusion
In this study, high-purity Hovenia monofloral honey was produced using a net house
system, and its physiochemical properties, such as the contents of sugar, minerals,
total phenoic acid, and total flavonoids, were evaluated. Hovenia monofloral honey
showed DPPH and ABTS radical scavenger activities and antibacterial activity against
gram positive and gram negative foodborne bacteria. To the best of our knowledge,
this is the first evaluation of Hovenia monofloral honey, and it can be used to
evaluate the potential of the Hovenia tree as a honey plant. Furthermore, because
the amount of nectar per flower bud of the Hovenia tree is higher than that of the
Acacia (Robinia pseudoacacia) tree, the Hovenia tree could be a
candidate to compensate for the loss of the Acacia tree as a honey plant.