Chemical Components of 96% Ethanol Extract of Basil Leaves (Ocimum basilicum L.) and Evaluation of their Antioxidant Activities using DPPH Method from various regions in Central Java

 

Gharsina Ghaisani Yumni*, Rini Primitasari, Rindu Hartin Suharno,

Pratiwi Ayu Kusumaningrum, Sumantri, Sugito Chandra

Faculty of Pharmacy, Universitas Wahid Hasyim, Semarang, Central Java, Indonesia.

*Corresponding Author E-mail: gharsinaghaisani@unwahas.ac.id

 

ABSTRACT:

Basil leaves (Ocimum basilicum L.) offer various health benefits due to their analgesic, antipyretic, antiseptic, antibacterial, and antifungal properties. They contain phenolic compounds, flavonoids, and tannins, which exhibit antioxidant activity. This research focuses on evaluating the antioxidant activity of basil leaves and determining their total phenolic, flavonoid, and tannin content. Samples were collected from different locations in Central Java and analyzed using chemometric techniques, specifically Principal Component Analysis (PCA) and Cluster Analysis (CA), for classification. Basil leaves are processed through the maceration technique utilizing a 96% ethanol solvent to produce a concentrated extract. The ethanol extract of basil leaves is then evaluated for its antioxidant potential using the DPPH method, with vitamin C serving as a reference standard; total flavonoid levels were determined using a quercetin comparator, and tannin levels were determined using a tannic acid comparator. The results showed that 96% ethanol extract of basil leaves had the highest antioxidant value, phenolic content, flavonoid content, and tannin content of 56.26ppm, respectively; 106.068mgGAE/g, 18.56mgQE/g, 42.75mgTAE/g from the Banjarnegara area. The sample was divided into three groups analyzed using the PCA and CA methods based on the variables used. Group 1 is Klaten, Kudus, and Pekalongan; group 2, namely Bandungan and Magelang; group 3 is Banjarnegara.

 

KEYWORDS: Chemometric, Antioxidant, Bioactive molecules, DPPH.

 

 


 

INTRODUCTION: 

Indonesia has the most enormous biodiversity, one of which is herbal plants, namely basil leaves. People usually use herbal medicines derived from plants that have secondary metabolite compounds. Secondary metabolites in basil plants are phenolic, flavonoids, and tannins that can act as antioxidants1. Phenolic compounds, flavonoids, and tannins found in plants can prevent cell damage due to oxidation caused by free radicals2,3. Basil leaves are vegetables that are quickly found daily4. The community uses basil leaves as a plant and has pharmacological activities, such as analgesic solid, antipyretic, antiseptic, antibacterial, antifungal, anti-inflammatory, anticancer, anthelmintic, anticoagulant and antiacne5–10. In certain countries, basil has traditionally been used to treat conditions such as anxiety, leprosy, diabetes, cardiovascular diseases, headaches, nerve pain, and as an anticonvulsant and anti-inflammatory remedy11.

The essential oil of basil was found to contain 34 constituents, with linalool (29.27%), estragole (9%), eucalyptol (13.52%), and cedrelanol (6.83%) as the predominant components12. According to research by Timotius et al.13, the methanol extract of basil leaves showed essential antioxidant properties, marked by an IC50 value of 174.04ppm. The study quantitatively analyzed phytochemicals in the ethanolic extract of Ocimum basilicum L, reporting total phenols (5.02± 0.06 µg GAE/mg), tannins (7.80±0.05µg GAE/mg), and flavonoids (6.00±0.06µg QE/mg). The extract exhibited significant antioxidant activity with a maximum inhibition of 55.12% at 60µg/ml and an IC50 value of 24.81µg/ml, as determined by the DPPH assay14. The essential oil extracted from O. basilicum L. leaves, containing significant compounds like eugenol (32%) and ethyl iso-allocholate (19%), exhibited potent antioxidant activity against DPPH, ABTS, and OH free radicals, suggesting its potential as a natural source of antioxidants for managing diseases caused by free radicals15.

 

Basil leaves can grow in fertile soil, both lowlands and highlands, so the community can quickly cultivate them16. However, different growing places can affect the composition of the plant's active compounds17–20. This is because the height difference can affect the photosynthesis process, so the production of secondary metabolites is not the same. Several factors that can affect the secondary metabolite content of plants are place altitude, temperature, humidity, and nutrient content, all of which can affect yield21,22. Determining differences between samples with similar physicochemical properties between variables is often subjective and difficult to do with general statistical methods. Therefore, an analysis method that can manage multivariate data effectively and accurately is needed. Chemometry is used to manage and handle multivariate data and experimental design23.

 

MATERIALS AND METHODS:

Materials:

The material used is basil leaves obtained from various places in Central Java, namely Klaten, Pekalongan, Kudus, Bandungan, Banjarnegara, and Magelang. Other ingredients used are 96% ethanol, ethanol p.a, magnesium metal powder, hydrochloric acid (concentrated HCl), amyl alcohol, NaCl 1%, gelatin 5%, FeCl3, DPPH (2,2-diphenyl-1-picryhydrazyl), vitamin C, quercetin, AlCl3 (Aluminium Chloride) 10%, potassium acetate (CH3COOK) 1M, tannic acid, gallic acid, sodium carbonate, aquadest.

 

The tools used in this study are Uv-Vis spectrophotometry (Shimadzu), electric scale (Ohaus), rotary evaporator (Heidolph), oven, blender (Maspion), Buchner funnel, vacuum pump set (Rocker 600), analytical scale (Ohaus), moisture balance (Ohaus), pollinator (Fomac), maceration tool set, water bath, micropipette (Socorex), yellow/blue tip, glass tool set (Iwaki Pyrex).

 

Determination:

The identification of the basil plant (Ocimum basilicum L.) was conducted to confirm the accuracy of the plant selected for the study. This process took place in the Ecology and Biosystematics Laboratory, Department of Biology, Faculty of Mathematics and Natural Sciences, Diponegoro University, Semarang.

 

Preparation of 96% ethanol extract of basil leaves (EEBL):

Fresh basil leaves are washed using running water, and then sorting is carried out to separate the basil leaves from the dirt that sticks. The next step involves drying the material in an oven at a temperature of approximately 60°C until the moisture content of the simplicia is reduced to less than 10%. Then, extraction was carried out using the maceration method for five days.

 

Phytochemical Screening:

a)    Phenolic Compounds:

EEBL was weighed 10mg and dissolved using 96% ethanol as much as 5mL; then, a few drops of FeCl3 solution were added until a color change occurred. Extracts are considered positive if the presence of phenolic compounds is indicated by the formation of blue, purple, green, red, or black colors24.

 

b)    Flavonoid Compounds:

A total of 50mg of EEBL was measured and dissolved in 10mL of absolute ethanol., then filtered and put into two tubes as much as then one of the tubes was added 0.1g of Mg powder and ten drops of hydrochloric acid (concentrated HCl) through the tube wall. The solution was left for a while, and a color change was observed. Compare the two test tubes; if there is a change in color from yellow to orange, it indicates the presence of flavonoid content in the sample24.

 

c)     Tannin Compounds:

A quantity of 50mg of EEBL was measured, dissolved in 10mL of hot distilled water, and then filtered. The solution is divided into 4 test tubes: Tube 1 as blank, tube 2 added 1% NaCl, tube 3 plus 1% NaCl solution and 5% gelatin solution, tube 4 plus FeCl3 solution. The formation of precipitate in tube 3 indicates the presence of tannin compounds, and positive results after adding FeCl3 strengthen the results24.

 

Antioxidant activity test:

Antioxidant activity testing begins by identifying the maximum wavelength and optimal reaction time for DPPH. The antioxidant activity assessment was conducted using DPPH solutions at concentrations of 1, 2, 3, 4, and 5μg/mL, and EEBL solutions at concentrations of 40, 80, 120, 160, and 200μg/mL. Each solution (1mL) was mixed with 4mL of DPPH solution. The mixtures were then kept in a dark environment for 30 minutes, after which their absorbance was measured using a UV-visible spectrophotometer at a wavelength of 516.5nm24.

 

Determination of phenolic content:

Determining total phenolic content begins with determining gallic acid’s maximum wavelength and operating time. The following process determines the standard curve of the gallic acid and the total phenolic content of EEBL. The gallic acid solution (50, 100, 150, 200, 250, and 300) and the EEBL solution were taken as much as 200mL each, and then 400mL of gallic acid (50, 100, 150, 200, 250, and 300) were added. Folin Ciocalteu leads 4mL 7% N Na2CO3. The mixture was left for 125 minutes and read at a wavelength of 743 nm24,25.

 

Determination of flavonoid content:

Determining total flavonoid levels begins with determining the maximum wavelength and duration of quercetin operation. The following process is determining the quercetin standard curve and the total flavonoid level of EEBL. Quercetin solution (2, 4, 6, 8, 10, and 12μg/mL) and EEBL solution were taken 1 ml each and reacted with 200μL of 10% AlCl and 200μL CH3COOK 1M. The mixture was left for 30minutes and read at a wavelength of 431.5nm24.

 

Determination of tannin content:

Determining tannin levels begins with determining tannic acid's maximum wavelength and operating time. The following process determines the raw curve of tannic acid and the total tannin content of EEBL. The tannic acid solution (40, 80, 120, 160, and 200μg/mL) was pipetted as much as 0.5ml each with 7.5ml of water and 0.5ml of acetic acid. Folin Ciocalteu reagent is left for 5 minutes. 1.5mL of solution is added 20% Na2CO3 20% each. The solution was left for 70 minutes in the dark and read at a wavelength of 745nm. A 200μL aliquot of the EEBL solution was mixed with 200μL of Folin-Ciocalteu reagent and allowed to sit for 5minutes. Then, 100μL of 20% Na₂CO₃ solution was added, followed by distilled water to a final volume of 5mL. The mixture was left for 70 minutes and its absorbance was measured at a wavelength of 745.5nm24,26.

 

Data analysis:

The data obtained were IC50, phenolic, flavonoid, and tannins. The data is expressed as an average ± standard deviation and is processed using Microsoft Excel (Microsoft Inc., USA). Additionally, chemometric analysis was performed using Principal Component Analysis (PCA) and Cluster Analysis (CA) with Minitab version 19 (Minitab Inc., USA) to categorize the samples based on variables such as antioxidant activity, total flavonoid content, and tannin content24.

 

RESULT:

Determination of Basil Plant:

The results of plant determination obtained are in the form of the following determination keys: 1b-2b-3b-4b-6b-7b-9b-10b-11b-12b-13b-14b-16a- (Group 10. Single-leafed, placed face face) -239b-243b-244b-248b-249b-249b-250b-266b-267b-268b 271b- (Fam 110. Labiatae) -1a-2b-4b-6b-7b-(Genus: Ocimum)-(Species: Ocimum basilicum L).

 

Preparation of 96% ethanol extract of basil leaves (EEBL):

The results of basil leaf extraction are presented in Table 1.

 

Table 1. Extraction Results of Ethanol Extract of 96% Basil Leaves

No

Region

Powder Weight (gram)

Extract (gram)

Moisture content (%)

Yield (%)

1

Klaten

110

18.3

5.4

16.63

2

Kudus

280

51.1

6.4

18.25

3

Pekalongan

185

25.7

5.3

13.52

4

Bandungan

400

69.5

5.1

17.37

5

Banjarnegara

230

31.8

5.3

13.82

6

Magelang

250

34.9

6.3

13.96

 

Phytochemical Screening:

Phytochemical screening of phenolic compounds, flavonoids, and tannins is presented in Table 2.

 

Table 2. Phytochemical Screening Results for Phenolics, Flavonoids, and Tannins

No.

Region

Phenolics

Flavonoids

Tannins

1

Klaten

+

+

+

2

Kudus

+

+

+

3

Pekalongan

+

+

+

4

Bandungan

+

+

+

5

Banjarnegara

+

+

+

6

Magelang

+

+

+

 

Determination of antioxidant activity, total phenolic, tannins and flavonoid content:

The results of antioxidant activity, total phenolics, tannins, and flavonoids from EEBL is presented in Table 3.

 


 

Table 3. Results of IC50 values, Total Phenolic Content, Tannin Levels, and Flavonoid Concentrations.

No

Region

IC50 (ppm)

TPC (mgGAE/g)

TFC (mgQE/g)

TTC (mgTAE/g)

1

Klaten

149.85

77.023

3.58

23.45

2

Kudus

165.36

69.336

6.93

17.06

3

Pekalongan

128.53

73.301

9.5

23.44

4

Bandungan

61.6

82.767

16.16

26.5

5

Banjarnegara

56.26

106.068

18.56

42.75

6

Magelang

70.19

80.583

11.14

23.41

 


Data analysis:

The antioxidant activity (IC50), total phenolic content (TPC), total flavonoid content (TFC), and total tannin content (TTC) results were analyzed using chemometric methods, including Principal Component Analysis (PCA) and Cluster Analysis (CA), with Minitab software version 19.1.

 

 

 

Figure 1. Eigenanalysis and Scree Plot Graphs from TPC, TFC, TTC and IC50

 

Their grouping of samples from their score plot results can be seen visually by looking at the proximity between their points, showing similarities between samples 24,27. The closer the dots, the greater the similarity. The result of the score plot can be seen in Figure 2.

 

 

Figure 2. Score Plot Graph

 

Loading plots are used to see the correlation between variables. Their correlation can be seen from the size of their angle formed between the variables. The two variables are considered positively correlated if the angle between the two vectors is less than 90°. If the angle is approximately 90°, the variables are uncorrelated. Conversely, when the angle exceeds 90° or is around 180°, the variables exhibit a negative correlation18. The result of the loading plot is shown in Figure 3.

 

 

Figure 3. Graph Loading plot

 

Dendrogram chart is a visual representation of a hierarchical clustering analysis. It is a tree-like diagram that shows the arrangement of clusters based on their similarity or dissimilarity. The result of the diagram chart can be seen in Figure 4.

 

 

Figure 4. Dendrogram Chart. 1 = Klaten; 2 = Kudus; 3 = Pekalongan; 4 = Bandungan; 5 = Banjarnegara; 6 = Magelang

 

DISCUSSION:

Their determination of the moisture content of basil leaves has met the simple quality requirement of <10%16. The basil leaf extraction in this study uses the maceration extraction method. The maceration method was chosen in this study because the tools used are simple and do not use high temperatures, which can risk damaging the contents, and are not designed to withstand heating. The extraction process utilizes 96% ethanol due to its universality, polarity, ease of obtainment, and accessibility to the sample cell wall, resulting in a more concentrated extract.

 

Phytochemical Screening:

EEBL from various regions in Central Java showed that positive EEBL contained phenolic compounds characterized by a colour change to blackishness. The color change occurs due to the reaction between phenols and Fe3+ ions, resulting in the formation of complex compounds. EEBL also showed that positive contained flavonoid compounds, characterized by a colour change from the initial colour of light green to orange after adding Mg powder, concentrated HCl, and amyl alcohol. Amyl alcohol serves to form two layers. The orange discoloration is attributed to the interaction between magnesium and HCl powder, which reduces the benzopyron nuclei in flavonoid structures, leading to the formation of red or orange flavilium salts in the amyl alcohol layer24. The results of the phytochemical screening of basil leaves were positive for tannin compounds, marked by the formation of precipitates when added to gelatin. Moreover, it strengthens the suspicion of the existence of phenolic compounds. This is demonstrated by the formation of complex compounds between tannins and FeCl3, which is indicated by a change in color24,30.

 

Determination of antioxidant activity, total phenolic, tannins and flavonoid content:

The antioxidant activity was tested using the DPPH method, which measures the ability to capture free radicals. When the purple DPPH solution interacts with an electron-donating substance, it gets reduced, causing the purple color to fade and be replaced by the yellow color of the acrylic group. The color change intensity reflects the antioxidant capacity. DPPH reagents react with antioxidants, shifting from purple to yellow, with the degree of color change being directly proportional to the antioxidant activity in neutralizing free radicals. The higher the concentration, the fading of the colour31. Basil leaf samples were taken from 2 different regions, namely lowland and highland areas. The lowland areas are Kudus, Klaten, and Pekalongan, while the highlands are Bandungan, Magelang, and Banjarnegara. The data obtained showed that the IC50 value was better in the highlands than in the lowlands. This is because the height of the growing place can affect the antioxidant activity in basil leaf plants17. The results of antioxidant activity from EEBL can be seen in Table 3.

 

The phenolic content in this study is determined using Folin-Ciocalteu reagent and 7% Na2CO3. Galic acid is a stable phenolic compound that can react with Folin-Ciocalteu and 7% Na2CO3 to form a blue molybdenum-tungsten complex. The complex formation reaction occurs in alkaline conditions, dissociating protons in phenolic compounds into phenolic ions that will react with Folin-Ciocalteu. The complex formed from the reaction has a blue colour that can be read for absorption using UV-Vis spectrophotometry24,26.

 

The study results revealed that the Banjarnegara area had the highest phenolic content in EEDK, measuring 106.068mgGAE/g, whereas the Kudus area had the lowest phenolic content at 69.336mgGAE/g. This difference can be caused by several factors, one of which is the height of the place where it grows. In addition to the height of the place where it grows, environmental factors also significantly affect the levels of flavonoids in plants. According to Qaderi, et al.17, environmental factors that can affect the content of secondary metabolites in plants are temperature, humidity, light intensity, rainfall, content in different soils, and harvest time.

 

In this study, the total flavonoid content was determined using a colorimetric method with UV-Vis spectrophotometry, employing AlCl3 and CH3COOK reagents. The principle behind this method involves the formation of a complex between AlCl3 and the keto groups at the C-4 position, as well as the hydroxyl groups at the C-3 and C-5 positions32. The addition of CH3COOK solution helps stabilize and maintain the wavelength in the visible area33. The comparator used for determining flavonoid levels is quercetin. Quercetin was chosen because it belongs to the flavonoid class of flavonoids that can form a complex colour with AlCl3. The quercetin flavonoid structure contains a keto group at the C-4 position and hydroxyl groups at the adjacent C-3 and C-5 positions34.

 

The data obtained determined that the levels of flavonoids from the highlands were higher than the levels of flavonoids from the lowlands. This difference can be caused by several factors, one of which is the height of the place where it grows. In addition to the height of the place where it grows, environmental factors also significantly affect the levels of flavonoids in plants18.

 

Tannin content was measured using UV-Vis spectrophotometry with the Folin-Ciocalteu reagent. This reagent is utilized because phenolic compounds react with it to form a colored solution, the absorption of which can be measured. The addition of the Folin-Ciocalteu reagent helps maintain the wavelength within the visible spectrum. The principle of the Folin-Ciocalteu method is the formation of blue complex compounds35. The phenolic compound reacts with Folin-Ciocalteu in an alkaline atmosphere so that a Folin-Ciocalteu reduction reaction occurs by the hydroxyl group (OH) of the polyphenol in the sample, which will form a blue molybdenum-tungsten complex. To create alkaline atmospheric conditions, saturated Na2CO3 is used36. The results of tannin levels in each reigion differ from the data obtained. This can be due to the height of the growing place and the harvest time. The height of the ever increasing place can cause changes in temperature and climatic conditions; it will cause a change in the content of secondary metabolites contained in the plant18.

 

Data analysis:

The eigenanalysis values obtained show that PC1, PC2, and PC3 contribute to the variance of 86%, 11.1%, and 0.3%, respectively. Figure 1 illustrates the relationship between each PC and the eigenanalysis value. A score plot is the output of a Minitab that describes the similarity between samples based on PC1 and PC2, which can be marked by points that are close to each other. Based on the results of the plot score, the sample was grouped into three groups. Group 1 is Klaten, Kudus, and Pekalongan; group 2, namely Bandungan and Magelang; group 3 is Banjarnegara (Figure 2).

 

The correlation between TPC and IC50, TTC and IC50, and TFC and IC50, which form a wide angle close to 180°, shows the value of the negative correlation coefficient and a negative correlation relationship (Figure 3). A negative correlation indicates that the higher the value of variable 1, the lower the variable 2. The higher the phenolic values, flavonoids, and tannins, the lower the IC50. This is because phenolic compounds, flavonoids, and tannins have the potential to be antioxidants. The correlation between TTC and TPC and TPC and TFC, which forms an angle of slightly less than 90°, shows a positive correlation, meaning that the higher the variable 1, the higher the variable 2. This is because phenolic compounds, flavonoids, and tannins are in the same secondary metabolic group.

 

The score plot and dendrogram (Figure 4) graph show that the six basil leaf samples produced two groups. Group 1 is Klaten, Kudus, and Pekalongan; group 2, namely Bandungan and Magelang; group 3 is Banjarnegara. Research conducted by Widyastuti et al. showed that the content of flavonoids was negatively correlated with IC50, which means that the higher the phenolic and flavonoid content in Temulawak, the lower the value. Based on this study, it was found that the total phenolic and flavonoid content in basil leaves had a negative correlation with IC50, which means that the high phenolic and flavonoid content in basil leaves will affect a lower IC50 value. Tannin compounds correlated with IC50 showed that tannins affected the antioxidant activity of the samples. This can be caused by tannins, which are phenolic compounds. Phenolic compounds and flavonoids are compounds that have the potential to ward off free radicals.

 

CONCLUSION:

The ethanol extract of basil leaves from the Banjarnegara area has the highest antioxidant activity and flavonoid, phenolic, and tannin content. Based on chemometrics, samples can be divided into three groups.

 

CONFLICT OF INTEREST:

The authors have declared no conflicts of interest.

 

ACKNOWLEDGMENTS:

We extend our gratitude to everyone who assisted us in reaching our research objectives and to the Faculty of Pharmacy at Universitas Wahid Hasyim Semarang for their support of the study.

 

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Received on 12.12.2024      Revised on 15.04.2025

Accepted on 17.06.2025      Published on 01.12.2025

Available online from December 06, 2025

Research J. Pharmacy and Technology. 2025;18(12):6028-6034.

DOI: 10.52711/0974-360X.2025.00871

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