Literature DB >> 35197762

Therapeutic Potential of Selected Medicinal Plant Extracts against Multi-Drug Resistant Salmonella enterica serovar Typhi.

Sadaf Naz1, Sadia Alam1, Waseem Ahmed2, Shah Masaud Khan2, Abdul Qayyum3, Maimoona Sabir1, Alia Naz4, Asia Iqbal5, Yamin Bibi6, Sobia Nisa1, Amany Salah Khalifa7, Amal F Gharib8, Ahmad El Askary8.   

Abstract

Salmonella enterica serovar Typhi is Gram negative, rod shaped, facultative anaerobic bacterium, belongs to enterobacteriaceae family that causes typhoid fever in humans. This bacterium has become a super bug due to acquisition of multi drug resistance. Bacteria is transmitted through food and water contaminated with human feaces. Present study reports the screening of Adhatoda vasica, Amaranthus hybridus and Aloe barbadensis and their evaluation against multi-drug resistant Salmonella enterica serovar Typhi. Qualitative analysis of ten phytochemicals was conducted using chemical method and Gas Chromatography-Mass Spectrometry (GCMS). Antibacterial activity of plants was carried out by agar well diffusion method on Mueller Hinton agar. Total tannins, total alkaloids and total flavonoids of different parts of three plants were estimated through spectrophotometer. Total tannins content in different parts of plants was present in the given order Amaranthus hybridus leaf > Aloe barbadensis leaf > Adhatoda vasica leaf > Adhatoda vasica flower > Adhatoda vasica stem. Whereas, the order of total flavonoid concentration was Amaranthus hybridus leaf > Aloe barbadensis leaf > Adhatoda vasica leaf > Amaranthus hybridus seed. Total alkaloids have order, Adhatoda vasica leaf > Amaranthus hybridus leaf > Adhatoda vasica flower > Amaranthus hybridus seed > Aloe barbadensis leaf. Results of phytochemical analysis suggested that plants have strong profile of antioxidants, total phenolic contents and various enzymes proposing them best alternate to cure bacterial infections. GC-MS analysis further confirmed stronger phytochemical profile that can be utilized as antagonists to Salmonella enterica serovar Typhi.
© 2021 The Author(s).

Entities:  

Keywords:  Adhatoda vasica; Aloe barbadensis; Amaranthus hybridus; Phytochemical analysis

Year:  2021        PMID: 35197762      PMCID: PMC8847975          DOI: 10.1016/j.sjbs.2021.10.008

Source DB:  PubMed          Journal:  Saudi J Biol Sci        ISSN: 2213-7106            Impact factor:   4.219


Introduction

Enteric fever is the most prevalent bacterial infection in developing countries caused by Salmonella enterica serovar Typhi. Bacteria are transmitted by the intake of faecal contaminated water or food (Newell et al., 2010). Headaches, chills, high fever, nausea and malaise are the characterized sign and symptoms of typhoid (Cock, 2008). Annually 12.2 million cases (Murray et al., 2012) and 190,200 deaths are reported worldwide, mostly amongst the children between the age group of 2–5 years (Lozano et al., 2012). Almost 30% of the bloodstream bacterial infections in Asia and 10% in Africa that arise in the general populations are caused by the etiological agent Salmonella enterica serovar Typhi (Deen et al., 2012). About 0.2 million deaths due to typhoid have been reported by WHO in 2014, most of them were reported from Asia (Andrews et al., 2017, WHO, 2017). Recent surveys conducted in Asian countries suggested 12–20 million cases of typhoid fever with 30% mortality rate, and if the condition remains untreated this rate may reach up to 90% (Mogasale et al., 2014, Obaro et al., 2017). Usually chloramphenicol, ampicillin, trimethoprim and sulfamethaxaole are the first line of therapy for the typhoid fever. As the cases of multi drug resistance (MDR) reported since 1970 and 1980, the efficiency of those drugs became uncertain (Klemm et al., 2018) alternatives were tested. At first, the second line of therapy regarding multi drug resistance fluoroquinolones was effective, but with passage of time resistance to floroquinolones has also been reported (Raveendran et al., 2008). Contrary to synthetic antibiotics medicinal plants are important antimicrobial resources to combat multidrug resistance. Currently, more than 80% of world population uses medicinal plants as a source of treatment against different ailments (Riaz et al., 2021). Isolation and validation of vibrant antimicrobial components from medicinal plants permits the production of new medicines. Thus, it is beneficial to explore the medicinal properties of plants collected from different sources (Mujaddidi et al., 2021). Adhatoda vasica is commonly known as Malabar nut, exhibit medicinal properties against various pathogens and therefore used in Ayurvedic medicines since long time (Maurya and Singh, 2010, Kaur et al., 2012). It is commonly found in Malaysia, India, Himalayan region, Sri Lanka and Burma (Kaur et al., 2012). Major components of a plant i.e. vasicinol, vasicine, vasicinolone, vasicol and adhatonine are mainly present in Adhatoda vasica. Various pharmacological properties i.e. antibacterial, anti-malarial, anti-cancerous and anti-inflammatory are exhibited by Adhatoda vasica. Amaranthus hybridus is commonly known as “pigweed”, having height of 1–6 feet. This plant has light green color, hairy and rough leaves, having small flower and pink or red color taproot (Mepha et al., 2007). Various solvent extracts of Amaranthus are used in Thai, Chinese and Indian medicines to cure various infections such as gynecological infections, diarrhea, UTI and respiratory tract infections. A. hybridus is also utilized to reduce pain and cure inflammation (Baral et al., 2011). All species of Amaranthus have various anti-inflammatory and antioxidant potentials. Saponins, alkaloids, terpenoids, phenolic acids, flavonoids, vitamins and amino acids have been evaluated from different parts of Amaranthus (Kumar et al., 2011, Nana et al., 2012, Sharma et al., 2012). Aloe barbadensis has juicy leaves and is a stem less plant having length of 60–100 cm. Aloe barbadensis has thick leaves which are green in color while a number of plants show white spots on the lower and upper surface of the stem (Tyler, 1993). Water content of Aloe barbadensis gel is 99.3% while the other 0.7% consists of mannose and glucose. Leaf of Aloe barbadensis acts as skin care products due to the presence of these sugars in combinations with amino acids and other enzymes (Agarry et al, 2005). Peptic ulcer and other gastrointestinal infections can be cured by using Aloe barbadensis gel (Thiruppathi et al., 2010, Johnson et al., 2011). Significant antibacterial, antioxidant, anti-inflammatory and antifungal activities of Aloe vera gel are reported in various studies (Fani and Kohanteb, 2012, Nejatzadeh-Barandozi, 2013, Baradaran et al., 2013, Ray et al., 2013, Kang et al., 2014, Vijayalakshmi et al., 2012, Sitara et al., 2011). Antitumor and anti-aging activity of the plant is also reported while it also has applications in treatment of cardiac disorders (Chatterjee et al., 2013). Aloe vera consists of almost 100 phytochemical components for that reason it plays a vital role in herbal medicines since time immemorial. The typhoidal pathogen has become resistant to different generations of commercially available drugs. Also the role of selected medicinal plants against multi drug resistant Salmonella enterica serovar Typhi is inadequate. So the current study was designed to evaluate the phytochemical profile of various solvent extracts from different parts of selected medicinal plants and to evaluate their antibacterial activities against the multidrug resistant typhoidal bacterium.

Material and methods

The study was designed to evaluate the phytochemical screening and antibacterial activity of three different indigenous medicinal plants against multi drug resistant Salmonella enterica serovar Typhi strains and its respective reference strain.

Plants collection

Adhatoda vasica, Amaranthus hybridus and Aloe barbadensis were selected for current study and collected from The University of Haripur and different localities of Haripur region, Khyber Pakhtunkhwa, Pakistan from July to September 2020. The selected plants are commonly available in District Haripur. The voucher specimen of each plant has been submitted to Department of Horticulture, The University of Haripur for future reference.

Pre-extraction of plant samples for Soxhlet’s extraction

For extraction, healthy and disease-free plants were collected and washed with normal tap water to remove dust and other impurities and then washed with distilled water to remove different microbes present on plants surface. The plants materials were shade dried by following the guideline used by Sasidharan et al. (2011) to avoid direct contact with heat and light to prevent denaturation of light sensitive constituents of plants. Then these plants were ground to fine powder, mixtures were made by mixing 50 g plants powder with 100 ml solvent (methanol, ethyl-acetate, hexane and chloroform respectively) and then added to Soxhlet’sApparatus (Behr Labor- Technik.Germany-2013) as described by Ncube, (2008). The cyclic process was continued until final product was obtained. Drying of extracts were processed in freeze drier at temperature of −60 to −65 °C for 24 h.

Screening for qualitative analysis

Sample preparation

For sample preparation, 5 ml distilled water, 10 ml hydrogen chloride and 2 ml of plant extract were taken in a test tube and then filtered. These filtrates were further used for phytochemical screening.

Alkaloids detection

All the extracts were individually dissolved in HCl and mixture was filtered. Mayer’s test was used for alkaloid's detection. Potassium mercuric iodide (1 ml) was added to 2 ml of individual extract and formation of yellow colored precipitate indicated the presence of alkaloids.

Carbohydrates detection

All the extracts were mixed with 5 ml distilled water and filtered. Aqueous extracts were further processed for carbohydrates detection by Molisch’s test. 2 ml extract was taken in test tube and 2–3 drops of alcoholic α-naphthol solution was added. Violet ring formation indicated the presence of carbohydrates.

Glycosides detection

Diluted hydrochloric acid was added to 2 ml of each extract and Borntrager’s test was used with slight modifications. Ferric chloride solution (2–3 drops) was added to 2 ml of individual extract and kept in water bath for 5 min. The solution was cooled and then benzene was added v/v to that extract. Layer of benzene was removed, and ammonia solution was added to the solution. Presence of glycoside was detected by the formation of rose-pink color in ammonical layer.

Saponin detection

Froth test was used for detection of saponins in plant extract for which 10 ml of distilled water was added to 2 ml of extract and shaken for 10–15 min. Presence of saponins was detected by formation of 1 cm foam layer.

Phytosterol detection

Salkowski’s Test was performed for the detection of phytosterol in plant extract. Chloroform (1 ml) was added to 2 ml extract and then filtered. 2 ml of conc. sulphuric acid was added to the filtrate and left to stand for few minutes and presence of phytosterols was detected by the formation of golden yellow color.

Phenol detection

For phenol detection ferric chloride test was performed. Ferric chloride solution of 3–4 drops was added to 2 ml of extract. Presence of phenols was detected by the formation of bluish black color.

Tannins detection

In plant extract, presence of tannins was detected by using Gelatin test. Individual extract of about 2 ml were treated with 2 ml of 1% gelatin solution. Presences of tannins were detected by the formation of white precipitates.

Flavonoids detection

Alkaline reagent test was applied for flavonoid detection for which sodium hydroxide solution (2 ml) was added to 2 ml extract. Presence of flavonoids was detected by the appearance of intense yellow color.

Detection of proteins

Xanthoproteic test was performed, which is one of the common tests for the detection of total proteins in the plant extract. Nitric acid (2–3 drops) was added to extract in test tube and proteins were detected by the appearance of yellow color.

Detection of diterpenes

Copper acetate test was applied for detection of diterpenes. Copper acetate (2–3 drops) was added drop by drop to 2 ml of extract, presence of diterpenes was detected by appearance of green color (Obasi et al., 2010).

Quantitative analysis

Sample preparation for total phenolic and antioxidants detection

Folin-Ciocalteau reagent was used to detect total phenolic content. Extraction mixture was prepared by the ratio 90:8:2 i.e. 90 ml of methanol was mixed with 8 ml acetone and 2 ml hydrochloric acid. Then 2 ml of plant sample were mixed with 20 ml of digestive mixture. The sample was vortexed, centrifuged at 11000 rpm for 15 min and the supernatant was collected in eppendorf tubes and further processed for total phenols. The residues were dissolved in 5 ml distilled water in test tubes to make different concentration i.e. 0.2, 0.4, 0.6 µg/500 µl. FC reagent was introduced to each tube and left for about 3 min. Then 20% Na2CO3 (2 ml) was added to each tube and mixtures were mixed vigorously. The tubes were kept in water bath for about 1 min, cooled down and absorbance was measured at 765 nm wavelength. By taking different concentrations of gallic acid, standard curve was prepared. Absorbance of each sample was measured in triplicate and then final value was taken in µg of gallic acid equivalent (Srinivasan and Kumaravel, 2015).

Antioxidants detection

Different concentrations of extracts i.e. 50, 100, 150 µg/ml were used for antioxidants detection. DPPH (1, 1-diphenyl 1–2-picrylhydrazyl) 0.004%, was prepared in 80% methanol solution. 5 ml of DPPH solution was added to each tube and incubated for 30 min and absorbance was measured at 517 nm wavelength using spectrophotometer (UV/VIS T80+). The total scavenging activity was measured by the ratio of absorption of the sample to the control (DPPH 0.1 mM was taken as control). Absorbance of antioxidant was calculated as following, Radical scavenging activity (%) = (Control – Sample) / Control × 100.

Total alkaloid content

Plant extract of 1 g was mixed with 20% H2SO4 and 20 ml ethanol by ratio of 1:1. Mixture was filtered and 1 ml of filtrate was mixed with 60% H2SO4 (5 ml). Mixture was left for 5 min and after that 5 ml of 0.5% formaldehyde was added to the mixture and left for 3 h. The absorbance was measured at 565 nm (Ekwueme et al., 2015).

Total flavonoid

Total flavonoid content was determined by Kim et al., (2003). Plant extract (1 g) was taken in a tube and 4 ml of distilled water was added to it. Aluminum chloride solution (10%) i.e. 0.3 ml was added to it. For 5 min tubes were incubated at 27 °C and 2 ml of NaOH was introduced to the test tubes and then about 1–2 ml of distilled water was added to the mixture and the tubes were vortexed. Absorbance was measured at 510 nm by the appearance of pink color. All the values were taken in triplicate.

Total tannins content

By following Folin and Ciocalteu (FC) method tannins were quantified. Plant extract of 0.5 ml was mixed with 3.75 ml distilled water, 0.5 ml of 35% sodium carbonate solution and 0.25 ml FC reagent was added to it, and the absorbance was measured at 725 nm (Puneetha et al., 2014).

Samples preparation for enzymes detection

Plant extracts of 1 g/ml were mixed with 2 ml phosphate buffer (pH 7–7.8). Mixture was vortexed and then centrifuged for 3 min at 11000 rpm, supernatant was collected in Eppendorf tubes for further enzymes quantification.

Peroxidase (POX)

Phosphate Buffer (pH 5) 100 µl, 100 µl H2O2 (40 Mm) and 100 µl of guaicol was added to 100 µl of reaction mixture (prepared from methanol, acetone and HCl by the ratio of 80:9:2). Then 100 ul of prepared sample i.e. enzyme extract was introduced to the mixture. Absorbance was measured at wavelength of 47 0 nm. Absorbance of each sample was measured in triplicate and then final value calculated using formula,μg /gram = (Control – Sample) / Control × 100

Superoxidase dismutase (SOD)

Phosphate buffer 500 µl, methionine 200 µl, Triton X 200 µl and nitro blue tertazolium (NBT) 100 µl was added to 100 µl enzyme extract. 800 µl distilled water was added to the mixture. The mixture was kept in UV light for about 15 min and then 100 µl riboflavin was added. Absorbance was taken at the wavelength of 560 nm at spectrophotometer. Absorbance of each sample was measured in triplicate and then final value was calculated using formula,μg /gram = (Control – Sample) / Control × 100

Catalase (CAT)

Enzyme extract of 100 µl by the method mention above was mixed with 100 µl H2O2. Absorbance was measured at 240 nm wavelength. Absorbance of each sample was measured in triplicate and then final value was taken as follows,μg /gram = (Control – Sample) / Control × 100

Preparation of culture media for Salmonella enterica serovar typhi

Salmonella-Shigella agar (63 g/1000 ml) is a selective medium used for isolation and revival of Salmonella culture. Medium was autoclaved at 121 °C for 20 min and poured into sterile disposable Petri plates.

Preparation of Muller Hinton agar (MHA)

Muller Hinton Agar is commonly used for antibiotics sensitivity testing (38 g/l). Medium was autoclaved for 20 min at 121 °C, poured into petri plates and allowed to solidify.

Antibacterial activity

The antibacterial activity of selected plants was detected through agar well diffusion method. Clinical isolate of MDR Salmonella enterica serovar Typhi (SS1) was obtained from Pathology lab of District Head Quarter Hospital Haripur. This bacterium was resistant to ampicillin, gentamicin, ciprofloxacin, ceftriaxone, streptomycin and erythromycin. This strain was used as reference strain. Ertapenem was used as control and the strain was sensitive to ertapenem. Clinical isolate was spread on the surface of the Mueller Hinton agar plate. With the help of sterilized cork borer about 6–8 mm bores were made. Then different volumes of plants extracts i.e. 25 µl, 50 µl and 75 µl were introduced into the wells and Petri-plates were incubated for 24 h at 37 °C. After 24 h,’ zones of inhibition of each extract was measured in millimeter (Valgas et al., 2007).

Determination of minimal inhibitory concentration (MIC)

Minimum inhibition concentration of plants extracts was determined by using sterilized 96-well plates (Wiegand et al., 2008). To each well of 12 rows of plates, 125 µl sterilized nutrient broth was introduced. After that an extra 125 µl mixture of plant extract and nutrient broth was introduced from well 2 to 12 by making serial dilution of 40 mg/ml to 0.078 mg/ml. After that 5 µl of Salmonella typhi culture was introduced to each well from row 3 to 12, whereas row 1 was considered as negative control and row 2 was considered as positive control. Plates were incubated at 37 °C for 24 h. Absorbance was measured at wavelength of 600 nm. Each value was taken in triplicate and minimum inhibition concentration of plant extract was calculated (Nisa et al., 2020).

Gas Chromatography-Mass Spectrometry (GCMS)

Plant extracts exhibiting promising antibacterial activity were selected for GC-MS profiling. Plant samples with good MIC value were further analyzed for quantitative phytochemical analysis using “Thermo Scientific (DSQII) GC”. The GC was equipped with a TR-5MS capillary column of length 30 M, Fill Thickness 0.25 μm and Internal Diameter of 0.25 mm. The carrier gas Helium (He) was used with flow rate of 1 ml/min. The injector was operated in split mode with temperature of 250 °C. The sample volume 1 μl was injected with initial Oven temperature of 50 °C and held for 2 min, then increased to 150 °C with the temp rate of 8 °C/min and further increased to 300 °C with temperature rate of 15 °C/min and hold for 5 min.

Statistical analysis

Statistical analysis tool of MS-excel 2016 was used for the authentications of triplicate values of inhibition zones diameter and concentration values. Each experimental value was expressed in means and standard deviation (SD) was also calculated.

Results

Qualitative analysis of phytochemicals

The presence of alkaloids, phenols, diterpene, carbohydrate, proteins, phytosterol, tannins, flavonoids, glycosides, saponins in the leaf, seed stem and roots of Amaranthus hybridus was detected in various solvents (Fig. 1). The highest amount of carbohydrate was detected in leaf portion in solvent hexane, phytosterols and saponins were also detected in maximum amount in the leaf of Amaranthus hybridus. Alkaloids, tannins and saponins were not detected in Amaranthus hybridus (Table 1). Very high content of alkaloids was detected in the leaf and stem extract of Adhatoda vasica in different solvents (Table 2). Diterpenes, carbohydrates, tannins and saponins were also detected in the highest amount in the foliar part of Adhatoda vasica. All other bioactive components were present in moderate amount, while phenol and glycosides were totally absent in the root part of selected plant. Bioactive components in leaf and root extract of Aloe barbadensis were detected in various solvents (Table 3). The highest amount of carbohydrates, proteins, phytosterols and saponins were detected in the foliar part of Aloe barbadensis. No trace of diterpenes was detected in roots while all other components were present in moderate amount (Fig. 2).
Fig 1

(a) Alkaloids in leaf of Adhatoda vasica, (b) Carbohydrates in seeds of Amaranthus hybridus in ethyl-acetate, (c) Glycosides in leaf of Amaranthus hybridus, d) Saponin in leaf of Amaranthus hybridus in methanol, (e) Phytosterols in leaf of Adhatoda vasica in methanol, (f) Flavonoids in leaf extracts of Adhatoda vasica in ethyl-acetate, (g) Protein detection in leaf of Adhatoda vasica in methanol, (h) Diterpenes in leaf of Adhatoda vasica in methanol, (i) Saponin in leaf of Adhatoda vasica in chloroform, (j) Phenols in leaf of Amaranthus hybridus.

Table 1

Bioactive components of Amaranthus hybridis extract in various solvents.

Bioactive componentsPart plantMethanolChloroformEthyl-acetateHexane
AlkaloidLeaf+++++
Seed++++
Stem+++++
Root
PhenolsLeaf++++++++
Seed+++++++
Stem+++
Root++
DiterpenesLeaf+++++
Seed
Stem++++
Root++++
CarbohydratesLeaf+++++++++*
Seed+++++++
Stem++++++++
Root++++
ProteinsLeaf++++++++
Seed++++++
Stem++++
Root++++
PhytosterolsLeaf+++*+++*+++++*
Seed++++
Stem++++
Root++++
TanninsLeaf+++++
Seed++
Stem+++
Root
FlavonoidLeaf++++++
Seed+++++++
Stem++++
Root++++
GlycosidesLeaf++++++++
Seed++++++
Stem++++
Root++++++
SaponinsLeaf+++*+++*++++
Seed++++++++
Stem+++++++
Root

Represent highest amount of bioactive components.

Table 2

Bioactive components of Adhatoda vasica in various solvents.

Bioactive componentsPlant partMethanolChloroformEthyl-acetateHexane
AlkaloidLeaf+++*+++*+++*++
Stem+++++++*++
Flower++++
Root++
PhenolsLeaf++++++++
Stem+++++
Flower++++
Root
DiterpenesLeaf+++*+++++*++
Stem++++++
Flower++++++++
Root++
CarbohydratesLeaf+++++*++++
Stem+++*++++++
Flower++++
Root++++
ProteinsLeaf++++++++
Stem++++
Flower+++++++
Root++++
PhytosterolsLeaf+++++++
Stem+++++
Flower++++
Root++++
TanninsLeaf+++*+++*++++
Stem++++
Flower++++
Root++++
FlavonoidLeaf++++++++
Stem+++++++
Flower+++++++
Root++++
GlycosidesLeaf++++++
Stem++++
Flower++++++
Root
SaponinsLeaf+++*+++*+++*+++*
Stem++++++++
Flower++++++++
Root+++++

Represent highest amount of bioactive components.

Table 3

Bioactive components in leaf and root extract of Aloe barbadensis in various solvent.

Bioactive componentsPlant partMethanolChloroformEthyl-acetateHexane
AlkaloidLeaf++++++++
Root++++
PhenolsLeaf++++++++
Root++++++++
DiterpenesLeaf++++++++
Root
CarbohydratesLeaf+++*+++*+++*++
Root++++++++
ProteinsLeaf+++*++++++
Root++++++++
PhytosterolsLeaf+++*+++*+++*++
Root++++++++
TanninsLeaf++++++
Root++++++++
FlavonoidLeaf+++++++
Root++++
GlycosidesLeaf+++++
Root+++++
SaponinsLeaf+++*++++++
Root++++++

Represent highest amount of bioactive components.

Fig. 2

Zone of inhibition in mm of (a) leaf of Aloe barbadensis in methanol, (b) leaf of Aloe barbadensis in ethyl-acetate, (c) Leaf of Adhatoda vasica in methanol, (d) Leaf of Amaranthus hybridus in chloroform, (e) Flower Adhatoda vasica in ethyl-acetate.

(a) Alkaloids in leaf of Adhatoda vasica, (b) Carbohydrates in seeds of Amaranthus hybridus in ethyl-acetate, (c) Glycosides in leaf of Amaranthus hybridus, d) Saponin in leaf of Amaranthus hybridus in methanol, (e) Phytosterols in leaf of Adhatoda vasica in methanol, (f) Flavonoids in leaf extracts of Adhatoda vasica in ethyl-acetate, (g) Protein detection in leaf of Adhatoda vasica in methanol, (h) Diterpenes in leaf of Adhatoda vasica in methanol, (i) Saponin in leaf of Adhatoda vasica in chloroform, (j) Phenols in leaf of Amaranthus hybridus. Bioactive components of Amaranthus hybridis extract in various solvents. Represent highest amount of bioactive components. Bioactive components of Adhatoda vasica in various solvents. Represent highest amount of bioactive components. Bioactive components in leaf and root extract of Aloe barbadensis in various solvent. Represent highest amount of bioactive components. Zone of inhibition in mm of (a) leaf of Aloe barbadensis in methanol, (b) leaf of Aloe barbadensis in ethyl-acetate, (c) Leaf of Adhatoda vasica in methanol, (d) Leaf of Amaranthus hybridus in chloroform, (e) Flower Adhatoda vasica in ethyl-acetate.

Quantitative analysis of phytochemicals

Total alkaloid content determination

Leaf of Adhatoda vasica shows higher alkaloids content i.e. 9741.6 mg/100 g, which is followed by flower having 2816.8 mg/100 g. The leaf of Amaranthus hybridus had higher alkaloids content 5961.77 mg/100 g, while the alkaloids content of Aloe barbadensis leaf and roots was 1184.3 mg/100 g and 933.39 mg/100 g respectively (Table 6).
Table 6

Total flavonoids, tannins and alkaloid contents of Adhatoda vasica, Amaranthus hybridus and Aloe barbadensis in mg/100 g.

Name of plantPart of plantTotal alkaloidsTotal tanninssTotal flavonoid
Adhatoda vasicaLeaves9741.6928.73092
Stem722.5853.71663.12
Flower2816.5883.541056.5
Roots537.5497.26581.05
Amaranthus hybridisLeaf5961.776344.033906.3
Stem1492.5813.011092.5
Seeds1917.1851.251379.9
Roots658.5634.2577.58
Aloe barbadensisLeaf1184.31499.733593.19
Roots933.39787.94762.77
Total phenolic and Antioxidants determination in Amaranthus hybridus, Adhatoda vasica and Aloe barbadensis. Enzymatic content of plants extracts, catalase, peroxidase, superoxidase dismutase in μg/g. Total flavonoids, tannins and alkaloid contents of Adhatoda vasica, Amaranthus hybridus and Aloe barbadensis in mg/100 g.

Total flavonoid determination

The total flavonoid content in the leaf of Adhatoda vasica was 3092 mg/100 g which was higher as compared to the other parts of the plant. The total flavonoid content of stem, flower and roots was 663.12 mg/100 g, 1056.5 mg/100 g and 581.05 mg/100 g. The leaf of Amaranthus hybridus had 3906.3 mg/100 g total flavonoid content, while stem, seeds and roots of that plant harboured 1092.5 mg/100 g, 1379.9 mg/100 g and 577.58 mg/100 g flavonoids. The total flavonoids content of leaf of Aloe barbadensis was 3593.1958 mg/100 g which was much higher than the roots flavonoids content i.e. 762.7758 mg/100 g (Table 6).

Total tannins determination

Foliar part of Adhatoda vasica showed higher tannins content i. e., 928.7 mg/100 g, which is followed by flower having 883.54 mg/100 g. The leaves of Amaranthus hybridus has higher tannins content 6344.03 mg/100 g, while the tannins content of Aloe barbadensis leaves and roots is 1499.73 mg/100 g and 787.94 mg/100 g sown in Table 6.

Total phenolic compounds (TPC)

Higher phenolic content was measured in the Amaranthus hybridus, Aloe barbadensis and Adhatoda vasica leaves, flowers of Adhatoda vasica, seeds of Amaranthus hybridus and roots of Aloe barbadensis (Table 4).
Table 4

Total phenolic and Antioxidants determination in Amaranthus hybridus, Adhatoda vasica and Aloe barbadensis.

Plant extractPart of plantTotal phenolic content TPC (mg/100 g)% inhibition of DPPH
Adhatoda vasicaLeaf22.4157.75
Flower18.3247.34
Stem14.6845.752
Root15.4135.655
Amaranthus hybridusLeaf36.5055.478
Stem15.0544.186
Seed7.4145.752
Root11.8635.655
Aloe barbadensisLeaf39.2355.478
Root34.6844.186

Antioxidants

Percentage free radical scavenging activity was determined to detect antioxidant activity. Maximum activity was observed in foliar parts of Amaranthus hybridus followed by Adhatoda vasica and Aloe barbadensis with 57.75 and 55.478% radical scavenging potential. Adhatoda vasica flower extract exhibited 47.34 activity followed by seeds of Amaranthus hybridus where 45.75% inhibition of DPPH scavenging activity was noted (Table 4).

Superoxide dismutase (SOD)

Leaf of Adhatoda vasica had 2523.06 μg/g SODs content, while in leaf of Amaranthus hybridus 5505 μg/g and was in leaves of Aloe barbadensis 4975.83 μg/g amount of SOD was measured (Table 5).
Table 5

Enzymatic content of plants extracts, catalase, peroxidase, superoxidase dismutase in μg/g.

Name of plantPart of plantSuper oxidase dismutase (SOD)Catalase (CAT)Peroxidase (POX)
Adhatoda vasicaLeaves2523.06631.71217.5
Stem1372.55631.7840.55
Flower1876.13631.71217.5
Roots771.96631.7833.32
Amaranthus hybridusLeaf5505631.72067.54
Stem1722.13632.111195.3
Seeds1149.8631.71460.38
Roots738.89643.5987.81
Aloe barbadensisLeaf4975.83643.91767.04
Roots1048.4643.9964.4
The Catalase content of Adhatoda vasica and Amaranthus hybridus leaves was 631.7 μg/g while Aloe barbadensis leaves had 643.9 μg/g catalase content. The seeds of Amaranthus hybridus harboured 631.7 μg/g catalase content (Table 5). Adhatoda vasica leaves and flowers had 1217.5 μg/g peroxidase content while Amaranthus hybridus leaves were having 2067.54 μg/g peroxidase followed by leaves of Aloe barbadensis with 1767.04 μg/g (Table 5).

Antibacterial activity of selected plants extract

Higher antibacterial potential was exhibited by Adhatoda vasica and Amaranthus hybridus leafy part extracts with 8 mm and 10.5 mm zones of inhibition against S. enterica serovar Typhi. Methanolic extract of Aloe barbadensis leaves showed 4.5 mm inhibition zone against the same pathogen (Table 7). Maximum zones of inhibition have been detected against Salmonella typhi by leaf extract of Aloe barbadensis, Amaranthus hybridus and Adhatoda vasica (Table 8).
Table 7

Zone of inhibition of MDR strain of Salmonella enterica serovar Typhi against Amaranthushybridus, Adhatoda vasica and Aloe barbadensisextracts measured in mm.

Plant extractPartMethanol(zone of inhibition in mm)
Ethyl Acetate(zone of inhibition in mm)
Hexane(zone of inhibition in mm)
Chloroform(zone of inhibition in mm)
25 μl50 μl75 μl25 μl50 μl75 μl25 μl50 Μl75 μl25 μl50 μl75 μl
Amaranthus hybridusLeaf356345356.53.558
Seed1.52.53.5133.523.55344.5
Stem122.511.521221.523.5
Root
Adhatoda vasicaLeaf679.556.5857115.5610.5
Flower34623.54.5345.523.55.5
Stem11.5212222.53122.5
Root1.511.5
Aloe barbadensisLeaf1.534.523.54245.52.534.5
Root111111
Table 8

Measurement of Minimum inhibition concentration (MIC) values in%

Name of Plants40 mg/ml20 mg/ml10 mg/ml5 mg/ml2.5 mg/ml1.25 mg/ml0.625 mg/ml
Leaf ABMethanol66%87.02%92.03%90.80%79.10%60.38%56.60%
Seed AH77.0%50%78.50%81.30%87.73%93.70%87.29%
Leaf AB EA64%85.64%83%90%41.70%88%86.80%
Leaf AH Methanol81.6%75.80%87.60%67.80%81.70%87.80%83.30%
Flower EA85.3%74.66%72.29%86.10%87.20%89.40%88.60%
Leaf AV Chloroform80.5%62.90%37.70%22.80%36.10%68.88%63.16%
Stem AV Chloroform87.4%52.88%54.91%70.54%93.20%81.35%62.71%
Root AV Methanol76.5%81.30%76.70%31.50%70.10%52.60%53.80%
Leaf AV M80.4%72.80%81.18%83.92%47.32%74.80%72.80%
Flower AV M77.8%78.20%63.35%74.65%77.55%69.92%66.70%
Leaf AH H70.9%75.66%71.75%79.45%69.60%68.40%69.24%
Leaf AB M87.6%82.80%86.80%67.92%59.70%54.60%55.30%
Zone of inhibition of MDR strain of Salmonella enterica serovar Typhi against Amaranthushybridus, Adhatoda vasica and Aloe barbadensisextracts measured in mm. Measurement of Minimum inhibition concentration (MIC) values in%

Minimum inhibition concentration (MIC)

A dose dependent response was observed for different concentrations of extracts. The highest inhibition was recorded for Adhatoda vasica leaf i.e. 92.03% at 10 mg/ml concentration, while the seeds extract of Amaranthus hybridus in hexane showed the inhibition percentage 93.70% at 1.2 5 mg/ml. Chloroform extract of Adhatoda vasica eleaf xhibited the highest inhibition at 40 mg/ml, hexane derived leaf extract of Amaranthus hybridus showed 79.45% inhibition at 5 mg/ml. The GC-MS analysis of Amaranthus hybridus, Adhatoda vasica and Aloe barbadensis revealed the existence of bioactive compounds. The identified chemical profile of Amaranthus hybridus indicated 41 compounds (Table9). The GC-MS results indicated 57 different compounds of Adhatoda vasica (Table10). Bioactive compounds identified from the hexane extract of Aloe barbadensis leaf contained 17 active compounds (Table 11). The bioactive compounds identification was established on the basis of the peak area, and retention time (Table 9, Table 10, Table 11).
Table 9

Bioactive compounds identified from the methanol extract of Amaranthus hybridus leaf.

S. NoName of CompoundsFormulaRTPeak AreaPeak Height
1.SarrerosideC30H42O10.7629410903.951163646.41
2.Cyclopropanedodecanoic acid, 2-octyl-, methyl esterC24H46O21.5123970480.01911492.53
3.13-Heptadecyn-1-olC17H32O2.1320218650.65585802.71
4.2HydroxyethylphosphineC2H7OP3.3049226951.703268477.27
5.DigitoxinC41H64O13.816172972.22522580.09
6.Butanoic acid, 4-hydroxyC4H8O34.3012165080.19918952.08
7.1,8-Di(4-nitrophenylmethyl)-3,6-diazaho moadamantan-9-oneC23H24N4O54.7518390815.93835304.00
8.MequinolC7H8O25.7317552561.95576147.83
9.tert-HexadecanethiolC16H34S6.260189735.0210189735.02
10.Aspidospermidin-17-ol, 1-acetyl-19,21-epoxy-15,16-dimethoxyC23H30N2O56.963063737.80131237.99
11.2-Oxazolamine, 4,5-dihydro-5-(phenoxymethyl)-N-[(phenylamino)carbonyl]C17H17N3O38.0541206391.301136190.72
12.2-Methoxy-4-vinylphenolC9H10O29.26347743553.4123156333.16
13.2-Butanone, 4-(2,6,6-trimethyl-1,3-cyclohexadien-1ylC13H20O11.0723825996.291042982.48
14.1-HeptatriacotanolC37H76O11.565276619.78401356.29
15.2-Methyl-4-(2,6,6-trimethylcyclohex-1-e nyl)but-2-en-1-olC14H24O11.843401973.26392620.46
16.Ingol 12-acetateC22H32O712.111882844.57263061.14
17.Ppropiolic acid, 3-(1-hydroxy-2-isopropyl-5-methylcycl ohexyl)C13H20O312.321395907.09210863.52
18.2-BenzothiazolC7H5NS12.81154365701.114178962.77
19.MegastigmatrienoneC13H18O13.9142798392.473415260.52
20.Ingol 12-acetateC22H32O714.759088216.46461050.35
21.9,10-Secocholesta-5,7,10(19)-triene-1,3-diol, 25-[(trimethylsilyl)oxy]-, (3á,5Z,7E)C30H52O3Si16.0711608140.61590332.43
22.4-((1E)-3-Hydroxy-1-propenyl)-2-methoxyphenolC10H12O316.5476392171.463000155.81
23.N-(2-Methylbutyl)(2E,4E,8Z,10E)dodecatetraenamideC17H27NO17.443395822.46321986.34
24.7,10-Epoxy-6H-azepino[1,2-e]purine-8, 9-diol, 4-amino-7,8,9,10-tetrahydro-, [7R-(7à,8à,9à,10à)]C10H11N5O317.842935573.24172575.59
25.Hexadecanoic acid, 1-(hydroxymethyl)-1,2-ethanediyl esterC35H68O518.253395572.86358239.87
26.n-Hexadecanoic acidC16H32O218.7424476899.751827030.15
27.1-Propyl-3,6-diazahomoadamantan-9-olC12H22N2O19.1351577033.302519739.73
28.PhytolC20H40O19.74256768220.1318146480.82
29.1-HeptatriacotanolC37H76O21.025179464.52397899.07
30.2,2,4-Trimethyl-3-(3,8,12,16-tetramethyl-heptadeca-3,7,11,15-tetraenyl)-cyclohexanolC30H52O21.4720681755.34931829.38
31.Hexadecanoic acid,2,3-dihydroxypropyl esterC19H38O422.1030006466.071278935.05
32.E,E,Z-1,3,12-Nonadecatriene-5,14-diolC19H34O223.0444169437.342259393.52
33.Cholestan-3-ol, 2-methylene-, (3á,5à)C28H48O23.5116145255.46861081.47
34.3,3a-Epoxydicyclopenta[a,d]cyclooctan-4á-ol, 9,10a-dimethyl-6-methylene-3á-isopropylC20H32O223.8710420422.96687228.04
35.9,12,15Octadecatrienoic acid, 2,3-bis[(trimethylsilyl)oxy]propyl ester, (Z,Z,Z)C27H52O4Si224.655361621.25221080.45
36.Cholestan-3-one, cyclic 1,2-ethanediyl aetal, (5á)C29H50O225.035288845.30517531.7
37.StigmasterolC29H48O25.8622339759.391057363.41
38.Acetic acid17-acetoxy-4,4,10,13-tetramethyl-7-oxo −2,3,4,7,8,9,10,11,12,13,14,15,16,17-tet radecahydro-1H-cyclopenta[a]phenanth ren-3-yl (ester)C25H36O526.59512237.9273780.06
39.Acetic acid, 17-acetoxy-4,4,10,13-tetramethyl-7-oxo −2,3,4,7,8,9,10,11,12,13,14,15,16,17-tet radecahydro-1H-cyclopenta[a]phenanth ren-3-yl (ester)C25H36O526.94944673.0188089.79
40.Methyl 3á-hydroxyolean-18-en-28-oateC31H50O327.353537093.97332475.21
41.Prosta-5,13-dien-1-oic acid, 9,11,15-tris[(trimethylsilyl)oxy]-, trimethylsilyl ester, (5Z,9à,11à,13E,15S)C32H66O5Si427.80394114.8148016.64
Table 10

Bioactive compounds identified from the methanol extract of Adhatoda vasica leaf.

S.NoCompounds NameFormulaPeak AreaPeak HeightRT
1.SarrerosideC30H42O1029410903.91163646.410.76
2.Cyclopropanedodecanoic acid, 2-octyl-, methyl esterC24H46O223970480.0911492.531.51
3.13-Heptadecyn-1-olC17H32O20218650.6585802.712.13
4.2HydroxyethylphosphineC2H7OP49226951.73268477.273.30
5.DigitoxinC41H64O136172972.22522580.093.81
6.Butanoic acid, 4-hydroxyC4H8O312165080.1918952.084.30
7.1,8-Di(4-nitrophenylmethyl)-3,6-diazahoC23H24N4O518390815.9835304.004.75
8.MequinolC7H8O217552561.9576147.835.73
9.tert-HexadecanethiolC16H34S10189735.0360913.176.26
10.Aspidospermidi-17-ol1-acetyl-19,21-epoxy-15,16-dimethoxy-C23H30N2O53063737.8131237.996.96
11.2-Oxazolamine,C17H17N3O341206391.301136190.728.05
12.2-Methoxy-4-vinylphenolC9H10O2347743553.4123156333.169.26
13.2-ButanoneC13H20O23825996.291042982.4811.07
14.1-HeptatriacotanolC37H76O5276619.78401356.2911.56
15.2-Methyl-4-(2,6,6-trimethylcyclohex-1-e-enyl)but-2-en-1-olC14H24O,3401973.26392620.4611.84
16.Ingol 12-acetateC22H32O71882844.57263061.1412.11
17.Propionic acidC13H20O31395907.09210863.5212.32
18.2-BenzothiazolC7H5NS154365701.114178962.7712.81
19.MegastigmatrienoneC13H18O42798392.473415260.5213.91
20.Ingol 12-acetateC22H32O79088216.46461050.3514.75
22.9,10-Secocholesta-5,7,10(19)-triene-1,3-diol, 25-[(trimethylsilyl)oxy]-, (3á,5Z,7E)-C30H52O3Si11608140.61590332.4316.07
23.4-((1E)-3-Hydroxy-1-propenyl)-2-methoxyphenolC10H12O376392171.463000155.8116.54
24.N-(2-Methylbutyl)(2E,4E,8Z,10E)- dodecatetraenamideC17H27NO3395822.46321986.3417.44
25.7,10-Epoxy-6H-azepino[1,2-e]purine-8,9-diol, 4-amino-7,8,9,10-tetrahydro-, stereoisomerC10H11N5O32935573.24172575.5917.84
26.Hexadecanoic acid, 1-(hydroxymethyl)-1,2-ethanediyl esterC35H68O3395572.86358239.8718.25
27.n-Hexadecanoic acidC16H32O224476899.751827030.1518.74
28.1-Propyl-3,6-diazahomoadamantan-9-olC12H22N251577033.302519739.7319.13
29.PhytolC20H40O256768220.1318146480.8219.74
30.1-HeptatriacotanolC37H76O5179464.52397899.070. 76
31.2-Methyl-4-(2,6,6-trimethylcyclohex-1-e-enyl)but-2-en-1-olC14H24O,3401973.26392620.4611.84
32.Ingol 12-acetateC22H32O71882844.57263061.1412.11
38.9,10-Secocholesta-5,7,10(19)-triene-1,3-diol, 25-[(trimethylsilyl)oxy]-, (3á,5Z,7E)-C30H52O3Si11608140.61590332.4316.07
39.4-((1E)-3-Hydroxy-1-propenyl)-2-methoxyphenolC10H12O376392171.463000155.8116.54
40.N-(2-Methylbutyl)(2E,4E,8Z,10E)-dodecatetraenamideC17H27NO3395822.46321986.3417.44
41.7,10-Epoxy-6H-azepino[1,2-e]purine-8,9-diol, 4-amino-7,8,9,10-tetrahydro-, stereoisomerC10H11N5O32935573.24172575.5917.84
42.Hexadecanoic acid, 1-(hydroxymethyl)-1,2-ethanediyl esterC35H68O3395572.86358239.8718.25
43.n-Hexadecanoic acidC16H32O224476899.751827030.1518.74
44.1-Propyl-3,6-diazahomoadamantan-9-olC12H22N251577033.302519739.7319.13
45.PhytolC20H40O256768220.1318146480.8219.74
46.1-HeptatriacotanolC37H76O5179464.52397899.070.76
47.2,2,4-Trimethyl-3-(3,8,12,16-tetramethyl-heptadeca-3,7,11,15-tetraenyl)-cyclohexanolC30H52O20681755.34931829.381.51
48.Hexadecanoic acid, 2,3-dihydroxypropyl ester, (ñ)-C19H38O430006466.071278935.052.13
49.E,E,Z-1,3,12-Nonadecatriene-5,14-diolC19H34O244169437.342259393.523.30
50.Cholestan-3-ol, 2-methylene-, (3á,5à)-C28H48O16145255.46861081.473.81
51.3,3a-Epoxydicyclopenta[a,d]cyclooctan-4á-ol, 9,10a-dimethyl-6-methylene-3á-isopropyl-C20H32O210420422.96687228.044.30
52.9,12,15-Octadecatrienoic acid,2,3-bis[(trimethylsilyl)oxy]propyl ester,C27H52O4Si25361621.25221080.454.75
53.Cholestan-3-one, cyclic1,2-ethanediyl aetal, (5á)-C29H50O25288845.30517531.765.73
54.StigmasterolC29H48O22339759.391057363.416.26
55.Acetic acid,17-acetoxy-4,4,10,13-tetramethyl-7-oxo-2,3,4,7,8,9,10,11,12,13,14,15,16,17-tetradecahydro-1H- cyclopenta[a]phenanthren-3-yl (ester)C25H36O5512237.9273780.066.96
56.Methyl 3á-hydroxyolean-18-en-28-oateC31H50O33537093.9788089.798.05
57.Prosta-5,13-dien-1-oic acid,C32H66O5Si4394114.81332475.219.26
Table 11

Bioactive compounds identified from the hexane extract of Aloe barbadensis leaf.

S.NoCompounds NameFormulaRTPeak AreaPeak Height
1.TrichloromethaneCHCl30.71275763672.8429867826.65
2.DimethylsulfoxoniumformylmethylideC4H8O2S4.71167352.2423367.82
3.FucoxanthinC42H58O66.44491143.2424916.05
4.Dimethyl SulfoxideC2H6OS8.80302328.7126415.07
5.Pregn-4-ene-3,20-dione,11,17,21-tris[(trimethylsilyl)oxy]-bis(O-methyloxime), (11á),C32H60N2O5Si311.35162316.0016799.85
6.4,25 Secoobscurinervan-4-one, O-acetyl-22-ethyl-15,16-dimethoxy-, (22à)C27H36N2O613.93861918.0438379.41
7.4,25-Secoobscurinervan-4-one, O-acetyl-22-ethyl-15,16-dimethoxy-, (22à)C27H36N2O616.77542567.2521728.66
8.Strychane, 1-acetyl-20à-hydroxy-16-methyleneC21H26N2O219.21375351.5514965.41
9.Glycine, N-[(3à,5á,7à,12à)-24-oxo-3,7,12-tris[(trimethylsilyl)oxy]cholan-24-yl]-,methylC36H69NO6Si322.96146669.6218424.10
10.Octasiloxane, 1,1,3,3,5,5,7,7,9,9,11,11,13,13,15,15-h exadecamethylC16H50O7Si825.4152093221.241402009.46
11.Hexasiloxane, 1,1,3,3,5,5,7,7,9,9,11,11-dodecamethylC12H38O5Si626.27227024.2630527.35
12.Octasiloxane,1,1,3,3,5,5,7,7,9,9,11,11,13,13,15,15-hC16H50O7Si827.091351954.7040345.25
13.Propanoic acid, 2-(3-acetoxy4,4,14-trimethylandrost-8en-17-yl)C27H42O427.82668153.0952079.34
14.Acetamide, N-[5-(diethylamino)-2-[(2,4-dinitrophen yl)azo]-4-methoxyphenyl]C19H22N6O628.20914441.1260060.98
15.Hexasiloxane,1,1,3,3,5,5,7,7,9,9,11,11-dodecamethylC12H38O5Si628.491247909.3368276.81
16.Octasiloxane,1,1,3,3,5,5,7,7,9,9,11,11,13,13,15,15-h exadecamethylC16H50O7Si829.47770753.6034580.94
17.Octasiloxane,1,1,3,3,5,5,7,7,9,9,11,11,13,13,15,15-hexadecamethylC16H50O7Si829.90402124.1836104.36
Bioactive compounds identified from the methanol extract of Amaranthus hybridus leaf. Bioactive compounds identified from the methanol extract of Adhatoda vasica leaf. Bioactive compounds identified from the hexane extract of Aloe barbadensis leaf.

Discussion

Plants have been used as a rich source of active compounds and preferred for the therapeutic purpose against number of diseases (Binish et al., 2021). Current study revealed some promising results of antibacterial activity of the selected plants against MDR typhoidal pathogen. Different species of Amaranthus have shown diverse antimicrobial activities. Amaranthus viridis chloroform foliar extracts exhibited activity against various microbes in a study conducted by Islam et al., (2010). E. coli showed greater sensitivity to alcoholic roots extracts of Amaranthus hybridus, while the same species root extracts in ethyl-acetates proved to be effective against Staphylococcus aureus (Dahiya et al., 2010). Wide range of antimicrobial activity of different species of Amaranthus i.e. Amaranthus caudatus, Amaranthus hybridus and A. spinosis foliar extracts in various solvents has been observed (Ahmed et al., 2013). Numerous microbes seem to be sensitive to leaf extracts of Amaranthus hybridus and this activity varies among various species at different concentrations. Leaf extracts of Amaranthus hybridus were found effective against S. typhi, E. coli, and P. aeruginosae having MIC range from 200 to 755 mg/ml (Maiyo et al., 2010). Bioactivity of medicinal plants can be determined by the presence of different phytochemicals. Tannin, saponin, alkaloid, phenol, glycoside and flavonoids were detected in the leaf extract of Aloe barbadensis in a study conducted by (Ikpe, 2017) which is similar to our findings of various phytochemicals i.e. phenols, saponin, tannin, alkaloid, carbohydrate, glycosides and protein are present in different solvent extracts of Aloe Barbadensis. A study conducted by Maiyo et al., (2010) finds parallel results to our findings which revealed that Amaranthus hybridus can exhibit various phytochemicals such as terpenoids, flavonoids, glycosides and steroids having beneficial antimicrobial properties (Maiyo et al., 2010). Another study conducted by Betoni et al. (2006) on methanol and chloroform leaf extracts of Adhatoda vasica revealed similar results suggesting that these extracts contains tannins, glycosides, flavonoids and alkaloids contents. A variety of organic actions have been acquired by Adhatoda vasica including anti-diabetic, anti-inflammatory, anti-jaundice, anti-microbial properties and also anti-spasmodic activity (Maurya and Singh, 2010). Different food borne pathogens are considered to be sensitive to Adhatoda vasica due to its antimicrobial potential (Subramaniam et al., 2015). Respiratory disorders i.e. cough, asthma, bronchitis and cold have been treated by the people since long time using Adhatoda vasica (Kaur et al., 2012). Adhatoda vasica shows strong antibacterial activity against various types of bacteria (Zabta et al., 2009). There are numerous biologically active constituents present in Adhatoda vasica that exhibited anti-bacterial activities. These components includes sterols, alkaloids, saponins, flavonoids and tannins which possess bactericidal potential against Salmonella typhi (Choudhury et al., 2013). Kumar et al., (2013) in his work stated that Salmonella typhi is more sensitive to methanol extract of Adhatoda vasica (Kumar et al., 2013). Total phenolic content of methanolic leaf extract of Aloe barbadensis as determined by Bista et al. (2020) was 30.53 ± 0.30. Similarly, another study conducted by Kumar et al. (2011) revealed that phenolic content of 2.9 to 65.7 mg GAE per g of dry weight was present in Aloe barbadensis that is in accordance to our findings that TPC of leaf extract of Aloe barbadensis was 39.23 mg/100 mg. Antioxidant and phytochemical constituents of the medicinal plants vary due to the changed in different localities. By taking gallic acid as a standard, total phenolic content was measured and results shows that the leaf extracts of the Adhatoda vasica and Amaranthus hybridus in methanol showed higher content of phenols i.e. 22.41 mg/100 g and 36.50 mg/100 g which is in contrast to a study conducted by Klejdus et al. (2004). Their results showed higher phenolic contents in ethanol extract 279.25 ± 0.05 mg/g of leaf of Adhatoda vasica as compared to the methanol and hexane that is 89.28 ± 0.09 mg/g and 105.25 ± 1.05 mg/g. Another study conducted by Nana et al., (2012) showed phenolic content of 55–10.18 mgGAE/100 mg in leaf of Amaranthus hybridus. Concentration of total phenolic content of leaf extract of Amaranthus hybridus was detected 0.819 ± 0.0016 g GAE / 100 g dwb to 2.759 ± 0.0025 g GAE / 100 g dwb in a study conducted by Suffo et al. (2016), which was in contrast to our findings as our study detected 36.50 mg/100 g TPC in the leaf of Amaranthus hybridus. Determination of alkaloids contents in polar solvent i.e. methanol is higher in the leaf of Adhatoda vasica 9741.6 mg/100 g, which is parallel to the results of another study showing stronger alkaloids contents in the polar solvents from the leaf of Adhatoda vasica 14.52 ± 0.26 mg/g (Klejdus et al., 2004). Total alkaloid content of leaf extract of Aloe barbadensis is 1184.3 mg/100 g, which is parallel to a study conducted by Iqbal and Ahmed (2021) as their study also shows higher content of alkaloid i.e. 1483.6 mg/g – 1670 mg/g in the leaf extract of Aloe barbadensis. Total flavonoid content of Aloe barbadensis leaf as determined by Iqbal and Ahmed (2021) varies from 0.53 mg/g −776.7 mg/g which are in contrast to our findings i.e 3593.19 mg/100 g.Total flavonoid content from leaf extract of Adhatoda vasica was 1550 mg QE/g in a study conducted by Kokati et al., (2013) while our study indicated total flavonoid content of leaf extract of Adhatoda vasica as 3092 mg/100 g. The maximum DPPH radical scavenging activity of the methanolic leaf extracts of Adhatoda vasica was determined at a concentration of 200 µg/ml (Rachana et al., 2015). Our findings alsoindicated higher DPPH radical scavenging activity in polar solvent. Higher DPPH radical scavenging activity (105.33 µg/ml) was detected in methanolic extract of Adhatoda vasica leaves as reported by Paranthaman et al., (2012). Present study also indicates higher DPPH radical scavenging activity in foliar parts of all selected plants. Medicinal plants possess different concentration of various enzymes having antimicrobial role (Brand, 2012). Superoxide dismutase (SOD) is considered as the plant defense enzyme as it plays anti-oxidative role in treating different plant diseases such as atherosclerosis and various other life threatening malfunctions. Higher concentration of Superoxide dismutase (SOD) have been reported in a study conducted by Brand, 2012, Brinda et al., 2013. Ahmed also reported higher SOD content in the leaf extract of Adhatoda vasica. Our findings also manifest higher content of Superoxide dismutase (SOD) in the leaf extract of Adhatoda vasica.Catalase content of Adhatoda vasica leaf is also high i.e. 4629 µg/g followed by flower of Adhatoda vasica 2100 µg/g in a study conducted by Ahmed et al. (2018) which is parallel to our study outcomes. Peroxidase (POX) have been reported in higher content in leaf of Adhatoda vasica by Ahmed et al. (2018) and similar manifestations have been revealed in the current study. Ramachandra et al. (2012) investigated the antibacterial activity of Adhatoda vasica against Salmonella typhi and found 17.50 mm, 13.16 mm and 11.50 mm zone of inhibition in methanol, hexane and chloroform extract respectively. Here, we also found methanolic extract more effective against S. enterica serovar Typhi. The trend of zone of inhibition was methanol > hexane > chloroform > ethyl-acetate. A study conducted by Lawrenceet al. (2009) revealed that Salmonella typhi showed various ranges of sensitivity against different solvent extract of Aloe barbadensis leaf and the maximum zone of inhibition was 9.66 mm in methanol. Methanolic extract of Aloe barbadensis leaf did not indicate promising results in our study. The difference may be attributed to different clinical isolate of S. typhi involved in both studies. Different concentrations of Amaranthus hybridus leaf extract against Salmonella typhi showed variable inhibition zones i.e. methanol extract (17.5 ± 2.0 mm at 100 µl/l), hexane extract (15.0 ± 1.4 mm at 50 µl/l), ethyl acetate (11.0 ± 1.7 mm at 100 µl/l) and 9.0 ± 1.4 mm at 50 µl/l (Maiyo et al., 2010). Matching results were obtained in present study and methanolic extracts showed higher zone of inhibition as compared to other solvents.Higher zone of inhibition was observed in hexane extract of Adhatoda vasica leaf followed by chloroform, methanol and ethyl-acetate. The MIC (0.125 mg/ml) of Amaranthus hybridus against Salmonella typhi (Chaudharyet al., 2017) was quite lower as compared to our findings (1.25 mg/ml). On the basis of strong phytochemical profile against S. typhi, three samples were selected for GC-MS i.e. leaf of Adhatoda vasica, leaf of Amaranthus hybridus and leaf of Aloe barbadensis. GC-MS results of foliar part of Adhatoda vasica showed presence of various compounds identical to compounds reported in previous investigations (Srinivasan and Kumaravel, 2015). Similar compounds of both studies were phytol, 9,12,15- octadecatrienoic acid and hexadecanoic acid. These are bioactive compounds and play potential role against different microbes. GC-MS results of a study conducted by Suffo et al., 2016a, Suffo et al., 2016b indicated 18 different phytochemicals in the ethanol leaf extracts of Amaranthus hybridus which is in contrast to our findings of 42 different phytochemicals in the methanol leaf extracts of Amaranthus hybridus. Difference in solvents used for extraction and site of collection may influence the quantity. The bioactive compounds belong to different groups that were identified through GC-MS having various antimicrobial properties. Hexadacanonnic acid, phytol, cholestan, stigmasta, glycine and cyclopropaneoctanoic acid are frequently identified bioactive compounds and their antibacterial properties are already identified by various studies.

Conclusion

Evolution of antibiotic and multidrug resistance among pathogens are growing threat to human health worldwide. Self-medication and imbalance use of drugs has been developing resistance, and the presences of MDR infections including those of Salmonella enterica serovar Typhi that is resistant to many antibiotics of first and 2nd line of therapy including ciprofloxacin and ampicillin. Medicinal plants are the good source and an alternate to the resistant drugs. These contain higher concentration of antimicrobial agents such as tannins, alkaloids, flavonoids, phenolic, antioxidants and different enzymes which have the ability to degrade the oxygen reactive species through damage to their DNA, RNA and proteins. Current study has unravealed the detailed investigation about phytochemical compounds using GCMS against S. typhi. Further studies are recommended for isolation of novel more efficient antibacterial compounds against MDR for further clinical efficacy trials and easy and affordable testing.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
  23 in total

1.  In vitro anti inflammatory activity of Aloe vera by down regulation of MMP-9 in peripheral blood mononuclear cells.

Authors:  Damodharan Vijayalakshmi; Ramamurthy Dhandapani; Sivalingam Jayaveni; Panneer Selvam Jithendra; Chellan Rose; Asit Baran Mandal
Journal:  J Ethnopharmacol       Date:  2012-03-15       Impact factor: 4.360

2.  Inhibitory activity of Aloe vera gel on some clinically isolated cariogenic and periodontopathic bacteria.

Authors:  Mohammadmehdi Fani; Jamshid Kohanteb
Journal:  J Oral Sci       Date:  2012-03       Impact factor: 1.556

Review 3.  Community-acquired bacterial bloodstream infections in developing countries in south and southeast Asia: a systematic review.

Authors:  Jacqueline Deen; Lorenz von Seidlein; Finn Andersen; Nelson Elle; Nicholas J White; Yoel Lubell
Journal:  Lancet Infect Dis       Date:  2012-06       Impact factor: 25.071

4.  Antioxidant activity and preventive effect of aqueous leaf extract of Aloe Vera on gentamicin-induced nephrotoxicity in male Wistar rats.

Authors:  A Baradaran; H Nasri; M Nematbakhsh; M Rafieian-Kopaei
Journal:  Clin Ter       Date:  2014

5.  Agar and broth dilution methods to determine the minimal inhibitory concentration (MIC) of antimicrobial substances.

Authors:  Irith Wiegand; Kai Hilpert; Robert E W Hancock
Journal:  Nat Protoc       Date:  2008       Impact factor: 13.491

6.  Role of Adhatoda vasica (L.) Nees leaf extract in the prevention of aflatoxin-induced toxicity in Wistar rats.

Authors:  Rajendran Brinda; Selvaraj Vijayanandraj; Doraiswamy Uma; Dorairaj Malathi; Vaikuntavasan Paranidharan; Rethinasamy Velazhahan
Journal:  J Sci Food Agric       Date:  2013-03-20       Impact factor: 3.638

7.  Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Christopher J L Murray; Theo Vos; Rafael Lozano; Mohsen Naghavi; Abraham D Flaxman; Catherine Michaud; Majid Ezzati; Kenji Shibuya; Joshua A Salomon; Safa Abdalla; Victor Aboyans; Jerry Abraham; Ilana Ackerman; Rakesh Aggarwal; Stephanie Y Ahn; Mohammed K Ali; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Adil N Bahalim; Suzanne Barker-Collo; Lope H Barrero; David H Bartels; Maria-Gloria Basáñez; Amanda Baxter; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Eduardo Bernabé; Kavi Bhalla; Bishal Bhandari; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; James A Black; Hannah Blencowe; Jed D Blore; Fiona Blyth; Ian Bolliger; Audrey Bonaventure; Soufiane Boufous; Rupert Bourne; Michel Boussinesq; Tasanee Braithwaite; Carol Brayne; Lisa Bridgett; Simon Brooker; Peter Brooks; Traolach S Brugha; Claire Bryan-Hancock; Chiara Bucello; Rachelle Buchbinder; Geoffrey Buckle; Christine M Budke; Michael Burch; Peter Burney; Roy Burstein; Bianca Calabria; Benjamin Campbell; Charles E Canter; Hélène Carabin; Jonathan Carapetis; Loreto Carmona; Claudia Cella; Fiona Charlson; Honglei Chen; Andrew Tai-Ann Cheng; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Manu Dahiya; Nabila Dahodwala; James Damsere-Derry; Goodarz Danaei; Adrian Davis; Diego De Leo; Louisa Degenhardt; Robert Dellavalle; Allyne Delossantos; Julie Denenberg; Sarah Derrett; Don C Des Jarlais; Samath D Dharmaratne; Mukesh Dherani; Cesar Diaz-Torne; Helen Dolk; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Karen Edmond; Alexis Elbaz; Suad Eltahir Ali; Holly Erskine; Patricia J Erwin; Patricia Espindola; Stalin E Ewoigbokhan; Farshad Farzadfar; Valery Feigin; David T Felson; Alize Ferrari; Cleusa P Ferri; Eric M Fèvre; Mariel M Finucane; Seth Flaxman; Louise Flood; Kyle Foreman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Marlene Fransen; Michael K Freeman; Belinda J Gabbe; Sherine E Gabriel; Emmanuela Gakidou; Hammad A Ganatra; Bianca Garcia; Flavio Gaspari; Richard F Gillum; Gerhard Gmel; Diego Gonzalez-Medina; Richard Gosselin; Rebecca Grainger; Bridget Grant; Justina Groeger; Francis Guillemin; David Gunnell; Ramyani Gupta; Juanita Haagsma; Holly Hagan; Yara A Halasa; Wayne Hall; Diana Haring; Josep Maria Haro; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Hideki Higashi; Catherine Hill; Bruno Hoen; Howard Hoffman; Peter J Hotez; Damian Hoy; John J Huang; Sydney E Ibeanusi; Kathryn H Jacobsen; Spencer L James; Deborah Jarvis; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Jost B Jonas; Ganesan Karthikeyan; Nicholas Kassebaum; Norito Kawakami; Andre Keren; Jon-Paul Khoo; Charles H King; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Francine Laden; Ratilal Lalloo; Laura L Laslett; Tim Lathlean; Janet L Leasher; Yong Yi Lee; James Leigh; Daphna Levinson; Stephen S Lim; Elizabeth Limb; John Kent Lin; Michael Lipnick; Steven E Lipshultz; Wei Liu; Maria Loane; Summer Lockett Ohno; Ronan Lyons; Jacqueline Mabweijano; Michael F MacIntyre; Reza Malekzadeh; Leslie Mallinger; Sivabalan Manivannan; Wagner Marcenes; Lyn March; David J Margolis; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; Neil McGill; John McGrath; Maria Elena Medina-Mora; Michele Meltzer; George A Mensah; Tony R Merriman; Ana-Claire Meyer; Valeria Miglioli; Matthew Miller; Ted R Miller; Philip B Mitchell; Charles Mock; Ana Olga Mocumbi; Terrie E Moffitt; Ali A Mokdad; Lorenzo Monasta; Marcella Montico; Maziar Moradi-Lakeh; Andrew Moran; Lidia Morawska; Rintaro Mori; Michele E Murdoch; Michael K Mwaniki; Kovin Naidoo; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Paul K Nelson; Robert G Nelson; Michael C Nevitt; Charles R Newton; Sandra Nolte; Paul Norman; Rosana Norman; Martin O'Donnell; Simon O'Hanlon; Casey Olives; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Andrew Page; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Scott B Patten; Neil Pearce; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; Konrad Pesudovs; David Phillips; Michael R Phillips; Kelsey Pierce; Sébastien Pion; Guilherme V Polanczyk; Suzanne Polinder; C Arden Pope; Svetlana Popova; Esteban Porrini; Farshad Pourmalek; Martin Prince; Rachel L Pullan; Kapa D Ramaiah; Dharani Ranganathan; Homie Razavi; Mathilda Regan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Kathryn Richardson; Frederick P Rivara; Thomas Roberts; Carolyn Robinson; Felipe Rodriguez De Leòn; Luca Ronfani; Robin Room; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Sukanta Saha; Uchechukwu Sampson; Lidia Sanchez-Riera; Ella Sanman; David C Schwebel; James Graham Scott; Maria Segui-Gomez; Saeid Shahraz; Donald S Shepard; Hwashin Shin; Rupak Shivakoti; David Singh; Gitanjali M Singh; Jasvinder A Singh; Jessica Singleton; David A Sleet; Karen Sliwa; Emma Smith; Jennifer L Smith; Nicolas J C Stapelberg; Andrew Steer; Timothy Steiner; Wilma A Stolk; Lars Jacob Stovner; Christopher Sudfeld; Sana Syed; Giorgio Tamburlini; Mohammad Tavakkoli; Hugh R Taylor; Jennifer A Taylor; William J Taylor; Bernadette Thomas; W Murray Thomson; George D Thurston; Imad M Tleyjeh; Marcello Tonelli; Jeffrey A Towbin; Thomas Truelsen; Miltiadis K Tsilimbaris; Clotilde Ubeda; Eduardo A Undurraga; Marieke J van der Werf; Jim van Os; Monica S Vavilala; N Venketasubramanian; Mengru Wang; Wenzhi Wang; Kerrianne Watt; David J Weatherall; Martin A Weinstock; Robert Weintraub; Marc G Weisskopf; Myrna M Weissman; Richard A White; Harvey Whiteford; Natasha Wiebe; Steven T Wiersma; James D Wilkinson; Hywel C Williams; Sean R M Williams; Emma Witt; Frederick Wolfe; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Anita K M Zaidi; Zhi-Jie Zheng; David Zonies; Alan D Lopez; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

8.  Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.

Authors:  Rafael Lozano; Mohsen Naghavi; Kyle Foreman; Stephen Lim; Kenji Shibuya; Victor Aboyans; Jerry Abraham; Timothy Adair; Rakesh Aggarwal; Stephanie Y Ahn; Miriam Alvarado; H Ross Anderson; Laurie M Anderson; Kathryn G Andrews; Charles Atkinson; Larry M Baddour; Suzanne Barker-Collo; David H Bartels; Michelle L Bell; Emelia J Benjamin; Derrick Bennett; Kavi Bhalla; Boris Bikbov; Aref Bin Abdulhak; Gretchen Birbeck; Fiona Blyth; Ian Bolliger; Soufiane Boufous; Chiara Bucello; Michael Burch; Peter Burney; Jonathan Carapetis; Honglei Chen; David Chou; Sumeet S Chugh; Luc E Coffeng; Steven D Colan; Samantha Colquhoun; K Ellicott Colson; John Condon; Myles D Connor; Leslie T Cooper; Matthew Corriere; Monica Cortinovis; Karen Courville de Vaccaro; William Couser; Benjamin C Cowie; Michael H Criqui; Marita Cross; Kaustubh C Dabhadkar; Nabila Dahodwala; Diego De Leo; Louisa Degenhardt; Allyne Delossantos; Julie Denenberg; Don C Des Jarlais; Samath D Dharmaratne; E Ray Dorsey; Tim Driscoll; Herbert Duber; Beth Ebel; Patricia J Erwin; Patricia Espindola; Majid Ezzati; Valery Feigin; Abraham D Flaxman; Mohammad H Forouzanfar; Francis Gerry R Fowkes; Richard Franklin; Marlene Fransen; Michael K Freeman; Sherine E Gabriel; Emmanuela Gakidou; Flavio Gaspari; Richard F Gillum; Diego Gonzalez-Medina; Yara A Halasa; Diana Haring; James E Harrison; Rasmus Havmoeller; Roderick J Hay; Bruno Hoen; Peter J Hotez; Damian Hoy; Kathryn H Jacobsen; Spencer L James; Rashmi Jasrasaria; Sudha Jayaraman; Nicole Johns; Ganesan Karthikeyan; Nicholas Kassebaum; Andre Keren; Jon-Paul Khoo; Lisa Marie Knowlton; Olive Kobusingye; Adofo Koranteng; Rita Krishnamurthi; Michael Lipnick; Steven E Lipshultz; Summer Lockett Ohno; Jacqueline Mabweijano; Michael F MacIntyre; Leslie Mallinger; Lyn March; Guy B Marks; Robin Marks; Akira Matsumori; Richard Matzopoulos; Bongani M Mayosi; John H McAnulty; Mary M McDermott; John McGrath; George A Mensah; Tony R Merriman; Catherine Michaud; Matthew Miller; Ted R Miller; Charles Mock; Ana Olga Mocumbi; Ali A Mokdad; Andrew Moran; Kim Mulholland; M Nathan Nair; Luigi Naldi; K M Venkat Narayan; Kiumarss Nasseri; Paul Norman; Martin O'Donnell; Saad B Omer; Katrina Ortblad; Richard Osborne; Doruk Ozgediz; Bishnu Pahari; Jeyaraj Durai Pandian; Andrea Panozo Rivero; Rogelio Perez Padilla; Fernando Perez-Ruiz; Norberto Perico; David Phillips; Kelsey Pierce; C Arden Pope; Esteban Porrini; Farshad Pourmalek; Murugesan Raju; Dharani Ranganathan; Jürgen T Rehm; David B Rein; Guiseppe Remuzzi; Frederick P Rivara; Thomas Roberts; Felipe Rodriguez De León; Lisa C Rosenfeld; Lesley Rushton; Ralph L Sacco; Joshua A Salomon; Uchechukwu Sampson; Ella Sanman; David C Schwebel; Maria Segui-Gomez; Donald S Shepard; David Singh; Jessica Singleton; Karen Sliwa; Emma Smith; Andrew Steer; Jennifer A Taylor; Bernadette Thomas; Imad M Tleyjeh; Jeffrey A Towbin; Thomas Truelsen; Eduardo A Undurraga; N Venketasubramanian; Lakshmi Vijayakumar; Theo Vos; Gregory R Wagner; Mengru Wang; Wenzhi Wang; Kerrianne Watt; Martin A Weinstock; Robert Weintraub; James D Wilkinson; Anthony D Woolf; Sarah Wulf; Pon-Hsiu Yeh; Paul Yip; Azadeh Zabetian; Zhi-Jie Zheng; Alan D Lopez; Christopher J L Murray; Mohammad A AlMazroa; Ziad A Memish
Journal:  Lancet       Date:  2012-12-15       Impact factor: 79.321

9.  Isolation, Purification and Evaluation of Antibacterial Agents from Aloe vera.

Authors:  Rubina Lawrence; Priyanka Tripathi; Ebenezer Jeyakumar
Journal:  Braz J Microbiol       Date:  2009-12-01       Impact factor: 2.476

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  1 in total

1.  Phytochemical Profiling and Antibacterial Activity of Methanol Leaf Extract of Skimmia anquetilia.

Authors:  Masarat Nabi; Mohammed Iqbal Zargar; Nahida Tabassum; Bashir Ahmad Ganai; Shahid Ud Din Wani; Sultan Alshehri; Prawez Alam; Faiyaz Shakeel
Journal:  Plants (Basel)       Date:  2022-06-23
  1 in total

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