Rapid Phytochemical Profiling of Moringa oleifera and Mucuna pruriens Leaf Extracts for their Pharmacological Activity by GC-MS


Pralhad Vinay Rege1*, Gauri Ravindra Risbud1, Sayali Milind Kadge1, Sachin Bhaskar Palekar2 and Anushka Sachin Joshi2

1Department of Chemistry, St. Xavier’s College, Mumbai, Maharashtra, India.

2Department of Bioanalytical Sciences, Ramnarain Autonomous College, Mumbai, Maharashtra, India.

Corresponding Author E-mail:pralhad.rege@xaviers.edu

 

DOI : http://dx.doi.org/10.13005/ojc/410523

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ABSTRACT:

Mucuna pruriens and Moringa oleifera commonly known as velvet beans and drumstick plant belong to fabaceae and moringaceae family respectively. Purposely in the current research work, leaves are used for preparation of extracts because of their availability in abundance and lot of aspects which are still to be discovered. Gas Chromatography-Mass Spectrometry (GC-MS) is a well-known green chemistry technique as there is lesser solvent consumption for analysis of volatile organics with the help of library. Such efficient use of analytical techniques in the world of Natural Therapeutics for revealing the phytopharmaceutical aspect of plants is considered to be a sustainable & ecofriendly approach. Some of the novel components from the said plants having significant medicinal & pharmacological activity are reported in the current research. Amyrins, Lupeol, Sigmasterols and Sitosterols are some of the significant phytoconstituents found from the aforementioned plants.

KEYWORDS:

Green chemistry; Phytoconstituents; Extraction; Sustainable; Therapeutics

Introduction

Traditional knowledge systems have repeatedly proven their roots in healing multiple diseases/ disorders/ discomforts in the human mankind by using herbal alternatives instead of modern medicine. Preliminary screening of such herbal remedies in the form of a whole plant or in parts is hence an essential aspect of standardization. Such screenings are performed in multiple ways as per the guidelines of World Health Organization (WHO). Post this evaluation; assessment of bioactivities and proving those therapeutic values by using in-vivo or in-vitro techniques becomes crucial. Phytoconstituents or secondary metabolites are the medico-therapeutic agents of plants.

Mucuna pruriens and Moringa oleifera belong to the Fabaceae and Moringaceae family respectively from kingdom plantae. These two families are known for their distinguished medicinal properties. Anti-inflammatory, antidiabetic, Antibacterial, Antioxidant, etc. are some of the few prominently known activities. Herbal plants are the good source of medicinal ingredients having potency in developing new drugs which begins with identifying active ingredients from plant sources. The screening of plant extracts is a novel approach to evaluate therapeutically active phytoconstituents in the plant samples.1

Variety of plant components with multiple pharmacological activity are screened in preliminary physical and chemical investigations. These molecules have fundamental functional groups such as hydroxyl, alcohols, aldehydes, benzene rings, steroids.2

Plant samples are to be prepared via suitable extraction techniques with optimized suitable solvent for getting maximum components for analysis. Extraction is a crucial first stage when the sample has to be analyzed by modern analytical techniques. Suitable extraction protocol is a key to precise separation, identification and analysis of active ingredients.3 Post extraction separation and simultaneous identification or characterization has to be done. Thin Layer Chromatography (TLC), High Performance Liquid Chromatography (HPLC), etc. are known to be the most used chromatographic techniques for preliminary screening of components.

In herbal research chromatographic fingerprints are the most often and prominently used for quality control purposes to unveil the phytochemical profile of the plant.4

GC-MS is another such tool which has brought revolution in the field of analytical chemistry. This amalgamation of chromatography and spectroscopy gives us new dimensions of information on our samples. Samples in volatile state are easily analyzed by GC-MS whereas the ones which are not volatile in the original state can be converted to volatile organics by derivatization techniques.

Materials and Methods

Collection of plant material

Fresh Moringa oleifera and Mucuna pruriens leaves are collected from Fort area, Mumbai, Maharashtra.

Preparation of extract

Both the plant leaves are sun dried and grounded in mixer   grinder. 1gm of these finely grounded plant leaves powder was weighed separately and following extracts were prepared using 10ml of the respective solvent in separate labelled flasks as per the conditions.

Extract I: Steady maceration Methanol MPL

Extract II: Accelerated Maceration Methanol MPL

Extract III: Accelerated Maceration Ethanol MPL

Extract IV: Soxhlet Methanol MPL

Extract V: Steady maceration Methanol MOL

Extract VI: Accelerated maceration Methanol MOL

Extract VII: Soxhlet Methanol MOL

The accelerated extract was exposed to ultrasonication at the temperature of 45ºC for          30 minutes and was kept for overnight extraction at steady state. After 24hrs of incubation the filtered extract was further diluted 1:100 times and 1ml volume is injected in the GC-MS system. The sound vibrations are generated in a sonicator the accelerated extraction process is expected to give good yield of the extract.

GC-MS analysis

Different extracts were prepared and filtered using 0.2micron syringe filters and injected in the GC-MS system with an injection volume of 1ml for all the samples. The temperature used was a programmed method for the present work. Sample injector was kept at 240ºC temperature. The Carrier gas flow was 1.0mL/minute. Rtx-5sil MS capillary column was used for the analysis. The initial column temperature was 70ºC and was kept constant for 2 minutes, it was then increased up to 280ºC at the rate of 10ºC/minute followed by a hold at the said temperature for 10 minutes. The total run time was 33 minutes. The split mode of injection was also applied and Interface was at 270ºC. MS was operated on scan mode for Retention time (Rt in minutes) determination of reference standards with a mass range of (m/z) 35-600. 

Results 

Table 1: Prominent molecules found in GC-MS screening and approximate % content

Name of the components Mol. Weight Extract  1  Extract  2 Extract  3 Extract  4 Extract 5 Extract  6 Extract  7
Octadecanoic acid 284.47g/mol 3.59 11.85 25.18 9.87 18.90 16.98
Hexadecanoic acid 256.42g/mol 4.07 13.79 15.48 13.32 18.18 20.67
Beta Amyrin 426.72g/mol 2.66 5.92 2.88 5.01 4.60 3.74 3.64
Alpha Amyrin 426.72g/mol 7.77 18.23 7.57 15.60 14.44 11.16 11.12
Gamma sitosterol 414.70g/mol 1.34 3.80 3.34 1.80 1.85 1.64
Lupeol 426.71g/mol 2.75

Table 2: Name of the component with the structure and their activity

Name of the component Activity
Octadecanoic acid Antitumor, Antiviral, Anti-inflammatory, and Acaricidal properties 5
Hexadecanoic acid Antioxidant, Antibacterial, and Anti-inflammatory properties 6,7,8
Beta Amyrin Anti-inflammatory, Anti-microbial, Anti-oxidative, Chemoprotective and neuroprotective properties 9,10
Alpha Amyrin Anti-inflammation, Antimicrobial and Antifungal 11,12,13
Gamma sitosterol Antidiabetic, Anti-inflammatory, Anticancer and antioxidant activity 14,15
Lupeol Anticancer and Anti-inflammatory 16

 Table 3: Different components identified from Mass spectra of Extract 1

Peak R. Time Area Area % Height Name
1 2.020 300570 0.04 445011 1-(5-Bicyclo[2.2.1]heptyl)ethylamine
2 13.967 700346 0.14 228322 Tetradecanoic acid
3 15.628 3152892 0.45 1805240 Hexadecanoic acid, methyl ester
4 15.895 1167941 0.17 253336 Cis-9-Hexadecenoic acid
5 16.120 28635335 4.07 8208654 n-Hexadecanoic acid
6 16.760 962296 0.14 418822 Methyl abietate
7 17.322 4796680 0.68 2841694 9,12-Ocetadecadienoic acid (Z,Z)-,methyl ester
8 17.373 2329948 0.33 1401813 11-Octadecenoic acid, methyl ester
9 17.611 987954 0.14 448269 Methyl stearate
10 17.808 25217114 3.59 7124217 9,12- Octadecadienoic acid (Z,Z)-

 Table 4: Different components identified from Mass spectra of Extract 1

Peak R. Time Area Area % Height Name
35 24.254 22358753 3.18 3935885 Urs-12-en-28-al
36 24.419 46729343 6.65 7870493 Urs-12-en-28-al
37 24.866 917279 3.13 212708 .alpha.-Amyrin
38 25.234 22818233 3.25 2870784 Urs-12-en-28-al
39 25.350 10515941 1.50 2357818 Urs-12-en-28-al
40 25.473 3710549 0.53 1275851 Stigmasta-4,7,22-trien-3.beta.-ol
41 25.641 18716141 2.66 5348819 .beta.-Amyrin
42 26.218 54611027 7.77 12961171 .alpha.-Amyrin
43 28.684 2034344 0.29 193722 Urs-12-en-28-al,3-(acetyloxy)-,(3.beta)-
44 29.753 9433972 1.34 1768997 Gamma sitosterol
45 30.054 17497427 2.49 3099064 Acetic acid, 3-hydroxy-7-isopropenyl-1,4a-dimethyl
46 31.0833 15985164 2.27 1501432 2-Naphthalenemethanol,1,2,3,4,4a,5,6,8a-octahydro
47 31.991 1186471 0.17 202515 Humulane-1,6-dien-3-ol

 Table 5: Different components identified from Mass spectra of Extract 2

Peak R. Time Area Area % Height Name
1 2.020 215934 0.16 332516 1-(5-Bicyclo[2.2.1]heptyl)ethylamine
2 13.454 149643 0.11 77409 Methyltetradecanoate
3 13.983 1049633 0.76 140301 Tetradecanoicacid
4 15.628 5750905 4.17 3351896 Hexadecanoicacid,methylester
5 15.895 755708 0.55 156298 cis-9-Hexadecenoicacid
6 16.101 19006608 13.79 6299841 n-Hexadecanoic acid
7 16.761 553268 0.40 252274 Methylabietate
8 17.324 10090766 7.32 6058912 9,12-Octadecadienoicacid(Z,Z)-,methylester
9 17.374 4059976 2.95 2492641 11-Octadecenoicacid,methylester
10 17.610 815759 0.59 475545 Methylstearate
11 17.792 16328784 11.85 5414128 9,12-Octadecadienoic acid (Z,Z)-
12 17.827 14098305 10.23 4769289 9-Octadecenoicacid, (E)-
13 18.018 2661142 1.93 901942 Octadecanoic acid
14 18.439 269307 0.20 111255 2,6-Di(2-furylmethylidene)cyclohexan-1-one
15 20.114 372482 0.27 200375 Methylabietate
16 20.974 992960 0.72 384524 Abietic acid
17 21.922 1851112 1.34 186623 Humulane-1,6-dien-3-ol
18 22.921 921872 0.67 141332 6a,14a-Methanopicene,perhydro-1,2,4a,6b,9,9,12a-
19 24.033 1322081 0.96 142767 Urs-12-en-28-al
20 24.944 1373714 1.00 163210 Urs-12-en-28-al
21 25.474 1912817 1.39 611697 Stigmasta-4,7,22-trien-3.alpha.-ol
22 25.632 8160094 5.92 2459198 .beta.-Amyrin
23 26.191 25123448 18.23 6961087 .alpha.-Amyrin
24 27.488 506068 0.37 146680 1-(Dimethyldodecylsilyloxy)butane
25 28.188 662802 0.48 97580 Ergost-5-en-3-ol,(3.beta.)-
26 29.161 1469020 1.07 257683 4,4,6a,6b,8a,11,11,14b-Octamethyl-1,4,4a,5,6,6a,6b
27 29.754 5242820 3.80 1044182 .gamma.-Sitosterol

 Table 6: Different components identified from Mass spectra of Extract 3

Peak R. Time Area Area % Height Name
15 24.475 10917456 0.67 3277035 Urs-12-en-28-al, 3-(acetyloxy)-,(3.beta.)-
16 25.010 8309770 0.51 2570577 Urs-12-en-28-al
17 25.266 150974256 9.20 12160822 Urs-12-en-28-al
18 25.495 10894013 0.66 3650897 5.alpha.-Pregnane-12,20-dione,cyclic 12-(ethylene
19 25.679 47196386 2.88 12395631 .beta.-Amyrin
20 25.896 14814008 0.90 2621430 Urs-12-en-28-al
21 26.120 30475279 1.86 5406467 3.beta-Myristoylolean-12-an-28-ol
22 26.286 124208022 7.57 22218438 .alpha.-Amyrin
23 29.678 12631680 0.77 2463115 6,beta, Bicyclo[4,3,0]nonane,5.beta.-iodomethyl-1.b
24 30.152 45060470 2.75 9224909 Lupeol
25 31.698 56270920 3.43 3041374 2-Naphthalenemethanol, 1,2,3,4,4a,5,6,8a- octahydro

 Table 7: Different components identified from Mass spectra of Extract 4

Peak R. Time Area Area % Height Name
1 2.020 244247 0.13 366467 1-(5-Bicyclo[2.2.1]heptyl)ethylamine
2 13.452 705287 0.39 398570 Methyltetradecanoate
3 15.417 655613 0.36 384414 9-Hexadecenoicacid,methylester,(Z)-
4 15.639 28265960 15.48 15918033 Hexadecanoic acid, methyl ester
5 16.069 5181021 2.84 1788882 n-Hexadecanoicacid
6 16.760 654601 0.36 300004 Methylabietate
7 17.341 45980328 25.18 22335999 9,12-Octadecadienoic acid (Z,Z)-, methyl ester
8 17.387 22481994 12.31 13516953 9-Octadecenoicacid,methylester,(E)-
9 17.430 169581 0.09 211674 11-Octadecenoicacid,methylester
10 17.611 3758022 2.06 2239325 Methylstearate
11 17.757 1962714 1.07 936027 9,12-Octadecadienoicacid(Z,Z)-
12 17.797 3760771 2.06 1018431 22-Tricosenoicacid
13 18.402 227873 0.12 151328 10-Nonadecenoicacid,methylester
14 19.427 514597 0.28 279062 Methyl18-methylnonadecanoate
15 19.696 259670 0.14 161280 2-Ethyl-1-cyclohexyldimethylsilyloxyhexane
16 19.828 627120 0.34 255764 Methyl(11R,12R,13S)-(Z)-12,13-epoxy-11-methox
17 20.112 524951 0.29 271561 Methylabietate
18 20.801 595502 0.33 313190 Methyl(11R,12R,13S)-(Z)-12,13-epoxy-11-methox
19 20.975 787790 0.43 286745 Abietic acid
20 22.917 392004 0.21 83431 9,19-Cyclolanost-24-en-3-ol,acetate,(3.beta.)-
21 24.034 2245815 1.23 270738 Urs-12-en-28-al
22 24.941 1779705 0.97 230911 Urs-12-en-28-al
23 25.469 2242119 1.23 714488 Stigmasta-4,7,22-trien-3.beta.-ol
24 25.630 9156044 5.01 2810520 .beta.-Amyrin
25 26.192 28491141 15.60 7696491 .alpha.-Amyrin
26 27.490 366851 0.20 116954 Linaloloxide,trimethylsilylether
27 28.182 496158 0.27 96070 Ergost-5-en-3-ol,(3.beta.)-
28 29.152 1134913 0.62 233790 .beta.-Amyrin
29 29.746 6098868 3.34 1181277 .gamma.-Sitosterol

 Table 8: Different components identified from Mass spectra of Extract 5

Peak R. Time Area Area % Height Name
1 2.020 277506 0.11 412670 1-(5-Bicyclo[2.2.1]heptyl)ethylamine
2 9.081 74317 0.03 42884 Decanaldimethylacetal
3 10.742 128069 0.05 58356 Octanoicacid,6,6-dimethoxy-,methylester
4 11.392 272576 0.10 86128 Nonanedioicacid,dimethylester
5 11.991 728467 0.28 393770 Decanaldimethylacetal
6 13.451 959254 0.36 552541 Methyltetradecanoate
7 15.417 812880 0.31 469357 9-Hexadecenoicacid,methylester,(Z)-
8 15.641 35042038 13.32 19072014 Hexadecanoic acid, methyl ester
9 16.067 5033074 1.91 1674141 n-Hexadecanoicacid
10 16.761 830396 0.32 371387 Methylabietate
11 17.333 25966196 9.87 14212903 9,12-Octadecadienoic acid (Z,Z)-, methyl ester
12 17.385 25220367 9.59 14533767 9-Octadecenoicacid,methylester,(E)-

 Table 9: Different components identified from Mass spectra of Extract 5

Peak R. Time Area Area % Height Name
40 24.038 4013443 1.53 455042 Urs-12-en-28-al
41 24.943 2737178 1.04 350446 Urs-12-en-28-al
42 25.473 2975679 1.13 939760 Stigmasta-4,7,22-trien-3.beta.-ol
43 25.633 12110093 4.60 3595217 .beta.-Amyrin
44 26.203 37987777 14.44 9807839 .alpha.-Amyrin
45 28.161 611561 0.23 89551 Ergost-5-en-3-ol,(3.beta.)-
46 28.614 590707 0.22 64959 Oleana-11,13(18)-diene
47 29.153 1225836 0.47 250889 .beta.-Amyrin
48 29.740 4738083 1.80 893668 .gamma.-Sitosterol
49 30.035 13081394 4.97 2338461 Aceticacid,3-hydroxy-7-isopropenyl-1,4a-dimethyl
50 30.321 814472 0.31 172149 4,4,6a,6b,8a,11,11,14b-Octamethyl-1,4,4a,5,6,6a,6b

 Table 10: Different components identified from Mass spectra of Extract 6

Peak R. Time Area Area % Height Name
1 2.020 242959 0.14 355838 1-(5-Bicyclo[2.2.1]heptyl)ethylamine
2 3.172 63548 0.04 51586 Hexanaldimethylacetal
3 11.993 352199 0.20 187365 Decanaldimethylacetal
4 13.452 834723 0.48 468700 Methyltetradecanoate
5 15.417 736184 0.42 424482 9-Hexadecenoicacid,methylester,(Z)-
6 15.640 31825069 18.18 18041742 Hexadecanoic acid, methyl ester
7 16.064 3568393 2.04 1194934 n-Hexadecanoicacid
8 16.762 534031 0.31 231923 Methylabietate
9 17.335 33085356 18.90 17577385 9,12-Octadecadienoic acid (Z,Z)-, methyl ester
10 17.386 23312621 13.32 14105679 9-Octadecenoicacid,methylester,(E)-

 Table 11: Different components identified from Mass spectra of Extract 6

Peak R. Time Area Area % Height Name
35 25.466 1553858 0.89 503479 Stigmasta-4,7,22-trien-3.beta.-ol
36 25.626 6554670 3.74 2012664 .beta.-Amyrin
37 26.181 19528118 11.16 5534024 .alpha.-Amyrin
38 27.480 315991 0.18 98470 1-(Dimethyldodecylsilyloxy)butane
39 28.182 173315 0.10 48087 Ergost-5-en-3-ol,(3.beta.)-
40 28.614 118498 0.07 36124 Oleana-11,13(18)-diene
41 29.156 913881 0.52 203462 .beta.-Amyrin
42 29.741 3246131 1.85 662420 gamma.-Sitosterol
43 30.017 7443107 4.25 1352157 Aceticacid,3-hydroxy-7-isopropenyl-1,4a-dimethyl
44 31.614 196487 0.11 44719 Stigmasta-3,5-dien-7-one
45 31.980 704388 0.40 137658 9,19-Cyclolanost-24-en-3-ol,acetate,(3.beta.)-

Table 12: Different components identified from Mass spectra of Extract 7

Peak R. Time Area Area % Height Name
15 15.416 507974 0.35 309848 9-Hexadecenoicacid,methylester,(Z)-
16 15.638 30305493 20.67 16672459 Hexadecanoic acid, methyl ester
17 15.939 178702 0.12 39957 cis-9-Hexadecenoicacid
18 16.062 1825597 1.25 589818 n-Hexadecanoicacid
19 16.639 203034 0.14 70187 Heptadecanoicacid,methylester
20 16.759 499772 0.34 211045 Methylabietate
21 16.897 73332 0.05 32390 Methylabietate
22 17.032 117271 0.08 54207 1,7,7-Trimethyl-3-phenethylidenebicyclo[2.2.1]hept
23 17.326 16446890 11.22 9195909 9,12-Octadecadienoicacid(Z,Z)-,methylester
24 17.383 24898433 16.98 14447355 9-Octadecenoic acid, methyl ester, (E)-
25 17.428 1421563 0.97 666840 11-Octadecenoicacid,methylester

 Table 13: Different components identified from Mass spectra of Extract 7

Peak R. Time Area Area % Height Name
45 25.467 1204966 0.82 392506 Stigmasta-4,7,22-trien-3.beta.-ol
46 25.623 5342450 3.64 1661193 .beta.-Amyrin
47 26.177 16302101 11.12 4614304 .alpha.-Amyrin
48 29.745 2405666 1.64 494354 gamma.-Sitosterol
49 30.014 6431907 4.39 1198148 Aceticacid,3-hydroxy-7-isopropenyl-1,4a-dimethyl

 Discussion

The above tables are prepared from Total Ion Chromatograms (TICs) and Mass spectras by all the extracts run by GC-MS of the two aforementioned plants. Peak height and peak areas are also tabulated. Table 1 shows the approximate percentage content of distinguished components in the plants. As per the results, Octadecanoic acid, hexadecenoic acid, Amyrins, Sitosterol and Lupeol are found to be the prominent components in both the plants. Both the plants are widely distributed in nature and are effective to reveal many medicinal properties and other biological activities. Leaf extracts are considered for revealing other important phytochemicals which can be an asset for curing multiple other diseases or disorders.

Octadecanoic acid

Stearic acid is extracted in highest amount in moringa extract by accelerated maceration process. Soxhlet extract has worked best for extraction from MPL. Heating the extract at controlled rate increases the concentration of the components.

Hexadecenoic acid

Palmitic acid is found to be extracted in maximum concentration by Soxhlet extraction from both the plants. Repetitive continuous method of extraction with appropriate heat seems to have worked best for hexadecenoic acid.

Beta amyrin

Accelerated maceration with ultrasonication and heating gives more yield of beta amyrin. Mucuna pruriens is showing more concentration as compared to Moringa oleifera.

Alpha amyrin

Highest extracted analyte is alpha amyrin in both the plants. Alpha amyrin shows lowest solubility in ethanol extract. Velvet beans extracts are producing more amyrins considering their therapeutic importance.

Gamma sitosterol:

Gamma sitosterol is extracted more by acceleration of extraction. It is non polar molecule which is extracted better with acceleration of sound waves being introduced.

Lupeol

Lupeol is also a significant non polar molecule which is extracted better in just Mucuna pruriens with Soxhlet extraction. Soxhlet is a continuous extraction process used for better yield of non-polar analytes. 

Conclusion

Alcoholic accelerated maceration is proven to be the most suitable method for both the plants in-order to extract maximum number of phytoconstituents. Alcohol is an effective organic solvent having good extractive power and are stable agents for preserving the extracts for longer duration of time. GC-MS or any other instrumental techniques used for analysis are compatible with such organic solvents preferably alcoholic solvents as they are neither extremely non-polar nor they are highly polar, hence alcoholic extracts are most preferred. Soxhlet is also showing satisfactory results but considering the sustainable and greener approach; usage of low volumes of solvents is possible in maceration. Both the techniques of extraction have their pros and cons. Methanol is considered to be most useful solvent of choice. GC-MS is also considered as a greener technique considering its negligible consumption of solvents and ease of analysis. GC-MS uses gas as the mobile phase and does not involve any liquid for its use as it is not an environment friendly approach. Since, the injection volume is negligible the sample consumption required is also minimal. GC-MS is a tool showing high sensitivity and selectivity having the ability to provide qualitative and quantitative analysis of the data. It is known to be the most versatile tool which can analyze wide range of samples including volatile organic compounds, drugs, biological samples, pesticides. GC analyses volatile samples & MS works in vacuum hence, hyphenating these two techniques for identification of plant components is a much quicker and suitable approach in herbal chemistry. The NIST library reveals majority of components in the form of ions by GC-MS in both the plants. All the above components are predominantly best antioxidants and hence have crucial role in showing action against multiple diseases.

Acknowledgements

The authors thank Department of Bioanalytical Sciences, Ramnarain Ruia Autonomous College, Mumbai, Department of Chemistry, St. Xavier’s College (Autonomous), Mumbai and P.S. Ramanathan Advanced Instrumentation Centre, Ruia College for their unconditional support throughout the progression of the work. 

Conflict of Interest

Neither the authors nor the institutions have any conflict of interest. 

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Abbreviations List

MPL extractMucuna pruriens leaf extract

MOL extractMoringa oleifera leaf extract

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Article Publishing History
Received on: 14 May 2025
Accepted on: 15 Sep 2025

Article Review Details
Reviewed by: Dr. Yogesh Ghalsasi
Second Review by: Dr. Sandip Maind
Final Approval by: Dr. Tawkir Sheikh


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