Article  
Nanoparticles Formulated from Young Areca Nut Extract Utilizing Sodium  
Alginate as a Polymer and Calcium Chloride (CaCl2)  
Indis Hilwa Rohmahdana1 , Indri Maharini2* , Eka Novita Br Purba3 , Indah Salsabilah4 , Aulia  
Hafizhah Nugroho5 , Yulwilla Virginia6  
1,2,3,4,5,6Department of Pharmacy, Universitas Jambi, Jambi, 36361, Indonesia  
Abstract  
Nanoparticles are an innovative formulation designed to enhance the bioavailability of drugs with poor absorption  
while allowing for a more targeted release of active compounds to minimize the risk of side effects. This study aims  
to develop nanoparticle formulations of young areca nut extract. The ionic gelation method, utilizing 0.02% CaCl2  
and 0.1% sodium alginate, was employed in the preparation process. The three formulas were developed with  
different concentrations and volumes of extract. The evaluation of nanoparticles included phytochemical screening,  
particle size analysis (PSA), zeta potential, % transmittance, and FTIR for functional group identification. The  
characterization results of the nanoparticles from young areca nut seed ethanol extract showed that formulas F1,  
F2, and F3 had particle sizes of 84.267±1.250 nm, 97.367±1.079 nm, and 82.333±0.723 nm, respectively. The  
polydispersity index values ranged from 0.254±0.046 to 0.325±0.02, suggesting good particle distribution. The zeta  
potential values, all below -30 mV, indicate the stability of the colloidal suspension system. FTIR analysis showed that  
the young areca nut seed extract nanoparticles in all formulas contained functional groups such as alcohol, alkene,  
and amide.  
Keywords: CaCl2, nanoparticles, sodium alginate, young areca nut  
Graphical Abstract  
*
Corresponding author  
Received October 30th 2024; Accepted December 26th 2024; Available online December 31st 2024  
Copyright © 2024 by Authors, Published by Chempublish Journal. This is an open access article under the CC BY License  
101  
Chempublish Journal, 8(2) 2024, 101-108  
Introduction  
sodium alginate and calcium chloride can form  
nanoparticle preparations with good physical  
characteristics [7][8][9].  
One of the leading and largest commodities in  
Jambi province is areca nut. Areca nut, also  
known as Areca catechu L., is a flowering plant  
that belongs to the Arecaceae family and is still  
one of the palmae family plants. Traditionally,  
areca nut seeds have been used to manufacture  
food, beverages, medicines, natural dyes, and  
cosmetics. Areca seeds are known for their  
therapeutic properties in health. They are used in  
the treatment of various conditions such as  
malaria, diarrhoea, vaginal discharge, skin  
wounds, and intestinal worms. Additionally,  
areca seeds are also believed to help strengthen  
teeth and gums [1] [2].  
Material and Methods  
Materials and Instrumentations  
Young areca nut (Areca catechu L.) seeds were  
obtained from the Betara Sub-district, West  
Tanjung Jabung Regency, Jambi Province, ethanol  
p.a, ethanol 96%, deionized water, Na alginate,  
CaCl2, chloroform, FeCl3, HCl, Mg and Meyer  
reaction. The instrumentation used in this  
research is magnetic stirrer (DLAB), blender  
(Philips), hot plate (Cimarec+), micropipette, petri  
dish, stirring rod, analytical balance (Pioneer),  
FTIR (Perkin Elmer), Particle Size Analyzer (Horiba  
Scientific SZ-100), Vacuum rotary evaporator  
(Büchi Rotavapor R-114®), oven (Memmert), digital  
pH meter (Hanna), glass tools (Pyrex).  
According to research data conducted by  
Fredison et al. [3], ethanol extracts from young  
areca nut seeds have been shown to contain  
various  
bioactive  
compounds,  
including  
alkaloids, flavonoids, tannins, saponins, and  
polyphenols, all of which possess antibacterial  
properties. These compounds effectively inhibit  
the growth of bacteria responsible for conditions  
like canker sores, particularly Staphylococcus  
aureus, with inhibition zones ranging from  
moderate to vigorous (6-21 mm). In addition to  
their antibacterial activity, young areca nut seeds  
Methods  
Preparation and Extraction. The young areca nut  
seeds were freshly collected, ensuring they were  
unripe, intact, and green in color, with the stalk  
still attached to the base of the fruit. The seeds  
were separated from the fruit's skin and sliced  
into thin pieces. These slices were dried in an  
oven at 50°C. Once dried, the material was  
ground into powder using a blender and sieved.  
Subsequently, 600 grams of the powdered  
material were macerated with 96% ethanol at a  
1:10 ratio for 5 days. The resulting filtrate was  
then concentrated using a rotary evaporator to  
obtain a thick ethanol extract of the young areca  
nut seeds.  
demonstrate  
antimutagenic  
antiseptics.  
potential  
agents,  
as  
antioxidants,  
astringents,  
and  
Developing  
a
formulation in the form of  
nanoparticles can enhance the effectiveness of  
the delivery system for young areca nut seed  
extract as an antibacterial agent. Nanoparticles  
are an innovative preparation with the main  
advantage of increasing the poor bioavailability  
of drugs and releasing active substances that are  
more targeted to reduce the risk of side effects.  
In this case, Nanotechnology has a fast and  
precise drug delivery system because it has a  
molecular size of <1000 nm [4][5][6].  
Phytochemical Screening. Young areca nut extract  
was identified by conducting phytochemical  
screening,  
including  
identifying  
alkaloids,  
tannins, flavonoids, saponins and polyphenols.  
The Preparation of young areca nut extract  
solutions with 1, 3 and 5% concentrations. Weighed  
1, 3, and 5 grams of young areca nut. Dissolve  
each extract with 5 ml of ethanol p.a., and add  
distilled water to a volume of 100.0 ml.  
This study aims to formulate young areca nut  
seed extract as nanoparticles using the polymer  
sodium alginate (Na alginate) and calcium  
chloride (CaCl) as a cross-linking agent. Sodium  
alginate is a natural polymer and biocompatible  
and biodegradable material, making it safe for  
pharmaceutical formulations. The interaction of  
The preparation of nanoparticles of young areca nut  
extract. Young areca nut extract nanoparticles  
102  
Chempublish Journal, 8(2) 2024, 101-108  
were prepared by mixing 0.1% Na Alginate with a  
magnetic stirrer for 30 minutes. Then, 0.02%  
CaCl2 was gradually added drop by drop while  
stirring with the magnetic stirrer. The colloid  
solution formed was sonicated for 1 hour. The  
formula of nanoparticles is shown in Table 1.  
than -30 mV and more significant than +30 mV  
have higher stability [7].  
Functional group analysis with FTIR. The young  
areca nut nanoparticle extract solution was  
placed on the sample holder and then analyzed  
with an infrared spectrophotometer.  
Table 1. Nanoparticle preparation formulation of  
young areca nut seed extract  
Results and Discussions  
% Yield  
Material  
Formula (mL)  
FI  
1
FII  
3
FIII  
5
In this stage, young areca nut seeds are oven-  
dried at 50°C. After drying, the simplisia is sorted  
and pulverized using a blender. The resulting  
powder from the young areca nut seeds is then  
extracted using the maceration method with 96%  
ethanol. The extract is evaporated using a rotary  
evaporator to obtain a concentrated extract,  
yielding 35.86%. The yield value can be  
influenced by various factors, including the  
solvent's polarity, the particle size of the  
simplisia, solvent concentration, and soaking  
time. Polar active compounds are more soluble  
in polar solvents, while nonpolar compounds  
dissolve better in nonpolar solvents. Choosing a  
solvent with the appropriate polarity for the  
Young areca nut seed  
extract (1% w/v)  
Sodium alginate (0.1% w/v)  
CaCl2 (0.02% w/v)  
5
25  
5
25  
5
25  
Nanoparticle Characteristics of Young Areca Nut  
Extract. The characteristics of nanoparticles can  
be evaluated by transmittance test, particle size  
distribution, polydispersity index test, zeta  
potential test, and Functional group analysis with  
FTIR.  
Transmittance Test. The transmittance test was  
performed using a UV-Vis spectrophotometer  
with a maximum wavelength of 650 nm, and a  
blank aquadeion was used as the reference[10].  
A higher transmittance value indicates that the  
particle size is decreasing [7].  
active  
compounds  
improves  
extraction  
efficiency. Smaller particle sizes of the simplisia  
increase the surface area in contact with the  
solvent, enhancing interaction and yield. The  
proper solvent concentration improves the  
solubility of active compounds, thus increasing  
yield. Adequate soaking time allows the solvent  
to interact with the active compounds, optimizing  
the yield fully. The success of separating active  
compounds during extraction depends on the  
polarity or solubility differences between the  
active compounds and the solvent. In conclusion,  
optimizing factors like solvent polarity, particle  
size, solvent concentration, and soaking time is  
crucial for achieving the best extraction yield [13].  
Particle Size Distribution Test. Particle size  
determination was carried out using the Particle  
Size Analyser (PSA). This test is carried out by  
measuring particles within ± 15 minutes [4].  
Polydispersity Index test. The polydispersity index  
describes the homogeneity of the colloidal  
solution. The polydispersity index has a range of  
values from 0 to 1. Values near 0 indicate a  
homogeneous dispersal, while values greater  
than 0.5 indicate high heterogeneity [7]. The  
results of the polydispersity index can meet the  
range of a good polydispersity index with a value  
range of 0.1-0.6 [8].  
Table 2. Rendemen Extract Results  
Extract  
Simplisia  
Weight (g)  
Extract Yield (%)  
Weight  
(g)  
Zeta Potential test. Zeta potential was measured  
using a zeta sizer. This test is used to characterize  
the surface charge properties of nanoparticles.  
Nanoparticles with zeta potential values smaller  
Young  
600 g  
215.20 g  
35.86%  
Areca Nut  
Extract  
103  
Chempublish Journal, 8(2) 2024, 101-108  
Secondary Metabolites  
The results of the phytochemical screening Table  
3 showed that the ethanol extract of young areca  
nut seeds contains alkaloids, tannins, flavonoids,  
saponins and polyphenols. From these results, it  
can be concluded that young areca nut seeds  
have the potential to have the ability as an  
antioxidant, antimutagenic, astringent, antiseptic  
and antibacterial[3][14][15].  
Young areca nut extracts were identified by  
conducting  
phytochemical  
screening.  
The  
content of secondary metabolites found in young  
areca nut seeds is listed in Table 3.  
Table 3. Phytochemical Screening Results  
Secondary  
Metaboles  
Alkaloids  
Tannins  
Flavonoids  
Saponins  
Methods  
Results  
Nanoparticle Characteristics of Young Areca Nut  
Extract.  
Mayer reaction  
Chloroform+FeCl3  
HCl+Mg  
+
+
+
+
+
The characteristics of nanoparticles can be  
evaluated  
by  
testing  
the  
percentage  
Chloroform+FeCl3  
transmittance value, particle size distribution,  
polydispersity index test, zeta potential test, and  
Functional group analysis with FTIR.  
Polyphenols Chloroform+FeCl3  
Description: (+): Positive; (-) : Negative  
Table 1. Results of Transmittance Test of Nanoparticles  
Formulation  
%Transmittance  
Average±SD  
Replication I  
Replication II  
Replication III  
F1  
91.50%  
93.80%  
90.70%  
92±1.61  
F2  
F3  
85.80%  
76.50%  
82.00%  
75.10%  
74.40%  
67.20%  
80.73±5.80  
72.93±5.01  
The characterization of % transmittance was  
carried out to observe nanoparticle formation  
indirectly. In general, nanoparticles have a cloudy  
appearance. Based on the transmittance values  
in Table 4, % transmittance values smaller than  
100% indicate the formation of an opaque  
solution due to ionic interactions between  
Alginate and CaCl. When the calcium chloride  
solution interacts with the sodium alginate  
solution, bonds form between the Ca²ions from  
calcium chloride and the carboxylate groups of  
sodium alginate, resulting in a polyelectrolyte  
complex due to opposing electrostatic forces,  
forming an egg-box structure. The Ca²ions will  
bind with the guluronate acid carboxyl groups of  
alginate [10,16,17].  
it can be observed that higher concentrations of  
young areca seed extract in the nanoparticle  
formulation result in lower % transmittance  
values. However, this does not align with the  
particle sizes observed. Formula 3, despite  
having a higher extract concentration, shows the  
smallest particle size, which could be attributed  
to the effect of sonication. On the other hand,  
Formula 2 has the largest particle size, likely due  
to impurities in the young areca nut extract  
solution.  
The polydispersity index represents the particle  
size distribution. A lower polydispersity index  
value indicates a more stable formulation, as  
higher values suggest that the particles are  
uneven in size, which can lead to quicker  
flocculation of the formula. The polydispersity  
index is close to 0.01, indicating that the formed  
dispersion system tends to be stable for a long  
time [11], [12]. The results of the polydispersity  
The particle size test was analyzed using a  
particle size analyzer. The evaluation aims to  
determine the particle size formed, indicated by  
the z average value. All of the formulation meets  
the nanoparticle size requirements as they fall  
within the 1-1000 nm range (Table 5). Formula 3  
exhibits the smallest particle size. When  
compared to the % transmittance data in Table 4,  
index can meet the range of  
a
good  
polydispersity index, with values ranging from  
0.254 0325 (Table 5 and Figure 1). The  
polydispersity index value for Formula 2 is higher  
104  
Chempublish Journal, 8(2) 2024, 101-108  
than that of the other formulas, suggesting that  
its particle size distribution is more varied  
compared to the other two formulas.  
forces within the nanoparticle dispersion help  
prevent aggregation. Conversely, a low zeta  
potential leads to attractive forces, which may  
cause the dispersion to break or flocculate.  
Nanoparticles with a zeta potential greater than  
+30 mV or less than -30 mV are typically regarded  
as stable colloidal suspension systems. Based on  
the measurement results (Table 5 and Figure 2),  
the zeta potential value ranges from -31.033 to -  
34.733 mV, indicating that the sample is stable  
[18][19].  
Another parameter that was analyzed is zeta  
potential, which is crucial for predicting the  
stability of colloidal dispersions. Zeta potential  
refers to the potential difference between the  
phase boundaries of solids and liquids, indicating  
the electric charge of particles suspended in a  
liquid. A high zeta potential suggests a stable  
formulation, as the repulsive and stabilizing  
Table 2. Results of Z-Avarage, PI and Zeta Potential  
Formulation  
Z-Average  
Polydispersity Index  
Zeta Potential  
F1  
84.267±1.250  
0.258±0.091  
-34.733 ±0.208  
-32.400±0.436  
-31.033±1.106  
F2  
F3  
97.367±1.079  
82.333±0.723  
0.325 ± 0.02  
0.254±0.046  
Figure 1. The particle size distribution of nanoparticles of young Areca nut. (a) Formula 1, (b) Formula 2,  
(c) Formula 3.  
105  
Chempublish Journal, 8(2) 2024, 101-108  
Figure 2. Zeta potential of nanoparticle young areca nut. (a) Formula 1, (b) Formula 2, (c) Formula 3.  
Fourier transform infrared (FTIR) spectroscopy is  
an analytical technique that utilizes molecular  
vibrational spectra in the infrared range to  
characterize nanoparticles' chemical properties  
and molecular structure. In this case, FTIR can  
provide information related to chemical bonding,  
surface functionality, and the presence of certain  
compounds in nanoparticle preparations. Some  
aspects that can be characterized using FTIR for  
nanoparticles are compound identification,  
chemical bond analysis, surface functionality,  
compound purity, chemical reactions and  
synthesis, and phase change monitoring [20].  
This study used an FTIR (Fourier Transform  
Infrared) spectrophotometer to identify the  
functional groups contained in the ethanol  
extract of young areca nut seeds with their  
bioactive content. The following are the results of  
the FTIR test analysis data in Figure 3.  
The functional groups observed in the 3200-3600  
wavelength  
hydroxyl groups (O-H). In the 1600-1680  
wavelength range, the functional groups  
range  
correspond  
to  
alcohol  
identified are alkenes with double C bonds (C=C),  
while at wavelengths between 1550-1640,  
amines and amides (N-H) are detected (Fig. 1).  
These results indicate that the young areca nut  
extract nanoparticles contain alcohol, alkene,  
and amide groups. Flavonoids and alkaloids,  
secondary metabolite compounds, can form in  
the presence of O-H, N-H, and C=C functional  
group bonds. Flavonoids typically contain  
structures with double bonds and hydroxyl  
groups, whereas alkaloids may include amine (N-  
H) groups and various other structures. Both  
flavonoids and alkaloids are known for their  
significant biological activities and are commonly  
found in a variety of plants [21].  
Figure 3. IR spectrum of nanoparticle formulas  
106  
Chempublish Journal, 8(2) 2024, 101-108  
Conclusion  
wartabun/article/view/3460  
The nanoparticle formulation of young Areca nut  
extract can be prepared using 0.1% sodium  
alginate as the polymer and 0.02% calcium  
chloride as a crosslinking agent. Formula 3  
produced the smallest particle size, measuring  
82.333 ± 0.723 nm, with a polydispersity index of  
0.254 ± 0.046, indicating uniform particle size  
distribution, and was found to be stable.  
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This research is supported by the Directorate of  
Learning and Student Affairs (Belmawa) of the  
Ministry of Education, Culture, Research and  
Technology (Kemdikbudristek). We sincerely  
thank the Directorate of Learning and Student  
Affairs (Belmawa) and Jambi University for  
providing support and assistance through  
resources, facilities, and technical support during  
this research process. Thank you to all team  
members and parties who have helped make this  
activity possible. Without the support of various  
parties, this research would not have been  
realized.  
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Author Contributions  
Conceptualization, I. H. R. and I. M.; Methodology,  
I. H. R. and I. M.; Software, I. S. and A. H. N.;  
Validation, I. M.; Formal Analysis, Y. V. and A. H.  
N.; Investigation, I. H. R.; Resources, I. H. R., I. S.  
and E. N. B. P.; Data Curation, I. M.; Writing –  
Original Draft Preparation, I. H. R.; Writing –  
Review & Editing, I. S., I. M. and E. N. B. P.;  
Visualization, I. S.; Supervision, I. M.; Project  
Administration, I. H. R., I. S. and E. N. B. P.  
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on the Characteristics of Isoniazid Loaded  
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Conflic of Interest  
Pharmacy and Technology. 14 1:. 389396.  
10.5958/0974-360X.2021.00071.8.  
N. Wathoni, Y. Herdiana, C. Suhandi, A. F. A.  
Mohammed, A. El-Rayyes, and A. C. Narsa.  
The authors declare no conflict of interest  
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