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Manimekalai, K.
- Evaluation of Hepatoprotective Activity of Ethanolic Extract of Aerial Parts of Premna tomentosa against Paracetamol-Induced Liver Toxicity on Wistar Rats
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Authors
Affiliations
1 Dept. of Pharmacology, Mahatma Gandhi Medical College & Research Institute, Puducherry, IN
1 Dept. of Pharmacology, Mahatma Gandhi Medical College & Research Institute, Puducherry, IN
Source
Toxicology International (Formerly Indian Journal of Toxicology), Vol 23, No 2 (2016), Pagination: 112-121Abstract
Hepatoprotective activity of ethanolic extract of aerial parts of Premna tomentosa were evaluated against paracetamol-induced liver toxicity and comparison to the standard hepatoprotectant, silymarin. Thirty male wistar albino rats were randomised into five groups with six rats in each group. Group A&B sereved as normal control and toxic control respectively, and were administered normal saline. Group C& D were treated with ethanolic extract of Premna tomentosa at doses 100mg/kg and 200mg/kg respectively. Group E was treated with the standard drug Silymarin 25mg/kg. Toxicity was induced in all the groups except the first by giving Paracetamol at 2g/kg on the 5th day. All the rats were treated for 7 days and after the last dosing the rats were fasted for 24hrs and sacrificed. Serum was sent for biochemical analysis for assaying liver profile. Histopathology and antioxidant studies were done on liver. In our study ethanolic extract Premna tomentosa showed beneficial effect on paracetamol induced liver toxicity which was evident by the significant improvement in liver profile consisting of AST, ALT, ALP, GGT, total cholesterol, total protein, triglycerides and total bilirubin in a dose dependent manner, which is consistent with the histopathological findings. Increase in GSH and Catalase and decrease in TBARS validates the antioxidant property of the extract. The study has proved that Premna tomentosa posses a significant hepatoprotective activity which was comparable to the standard drug silymarin. It warrants further study in humans before including it in the prevention of hepatotoxicity.Keywords
Premna tomentosa, Paracetamol, Hepatoprotective, Antioxidant.
References
- Devarbhavi H. An Update on Drug-induced Liver Injury. J ClinExpHepatol. 2012 Sep;2(3):247–59.
- Devarbhavi H, Dierkhising R, Kremers WK, Sandeep MS, Karanth D, Adarsh CK. Single-center experience with drug-induced liver injury from India: causes, outcome, prognosis, and predictors of mortality. Am J Gastroenterol. 2010;105(11):2396–404.
- Myers RP, Shaheen AAM, Li B, Dean S, Quan H. Impact of liver disease, alcohol abuse, and unintentional ingestions on the outcomes of acetaminophen overdose. ClinGastroenterolHepatol Off ClinPract J Am Gastroenterol Assoc. 2008;6(8):918–25.
- Chan K. Some aspects of toxic contaminants in herbal medicines. Chemosphere. 2003;52(9):1361–71.
- Mahanta M, Mukherjee AK. Neutralisation of lethality, myotoxicity and toxic enzymes of Najakaouthia venom by Mimosa pudica ischolar_main extracts. J Ethnopharmacol. 2001;75(1):55–60.
- CPCSEA. CPCSEA Guidelines for laboratory animal facility. Indian J Pharmacol. 2003;35(4):257–74.
- OECD. Test No. 425: Acute Oral Toxicity: Up-and-Down Procedure [Internet]. Paris: Organisation for Economic Co-operation and Development; 2008 [cited 2015 Sep 24]. Available from: http://www.oecd-ilibrary.org/content/book/9789264071049-en
- Chattopadhyay RR. Possible mechanism of hepatoprotective activity of Azadirachtaindica leaf extract: part II. J Ethnopharmacol. 2003;89(2-3):217–9.
- McClure DE. Clinical pathology and sample collection in the laboratory rodent. Vet Clin North Am ExotAnim Pr. 1999;2(3):565–90.
- Reitman S, Frankel S. In vitro determination of transaminase activity in serum. Am J ClinPathol. 1957;28:56–64.
- Kind PRN, King EJ. Estimation of Plasma Phosphatase by Determination of Hydrolysed Phenol with Amino-antipyrine. J ClinPathol. 1954;7(4):322–6.
- Szasz G. A kinetic photometric method for serum gammaglutamyltranspeptidase. Clin Chem. 1969;15(2):124–36.
- Lowry OH, Rosebrough NJ, Farr AL, Randall RJ. Protein measurement with the Folin phenol reagent. J Biol Chem. 1951;193(1):265–75.
- Allain CC, Poon LS, Chan CS, Richmond W, Fu PC. Enzymatic determination of total serum cholesterol. Clin Chem. 1974 Apr;20(4):470–5.
- Helga Tait Malloy KAE. The Determination of Bilirubin with the Photoelectric Colorimeter. J Biol Chem. 1937;119(2):481–90.
- L B Foster RTD. Stable reagents for determination of serum triglycerides by colorimetric Hatzsch condensation method. Clin Chem. 1973;19(3):338–40.
- Ohkawa H, Ohishi N, Yagi K. Assay for lipid peroxides in animal tissues by thiobarbituric acid reaction. Anal Biochem. 1979;95(2):351–8.
- Ellman GL. Tissue sulfhydryl groups. Arch BiochemBiophys. 1959;82(1):70–7.
- Luck H. Catalase. Methods Enzym Anal. 1965;885–8.
- Carleton HM, Drury RAB, Wallington EA. General staining procedures. In: Carleton’s Histological technique. 5th ed. New York: Oxford University Press; 1980. p. 147–8.
- Dufour DR, Lott JA, Nolte FS, Gretch DR, Koff RS, Seeff LB. Diagnosis and monitoring of hepatic injury. II. Recommendations for use of laboratory tests in screening, diagnosis, and monitoring. Clin Chem. 2000 Dec;46(12):2050–68.
- Ozer J, Ratner M, Shaw M, Bailey W, Schomaker S. The current state of serum biomarkers of hepatotoxicity. Toxicology. 2008;245(3):194–205.
- Reuben A. Hy’s law. Hepatology. 2004 Feb 1;39(2):574–8.
- Sheehan M, Haythorn P. Predictive values of various liver function tests with respect to the diagnosis of liver disease. ClinBiochem. 1979;12(6):262–3.
- Thapa BR, Walia A. Liver function tests and their interpretation. Indian J Pediatr. 2007;74(7):663–71.
- Potter WZ, Thorgeirsson SS, Jollow DJ, Mitchell JR. Acetaminopheninduced hepatic necrosis V. Correlation of hepatic necrosis, covalent binding and glutathione depletion in hamsters. Pharmacology. 1974;12(3):129–43.
- Zaher H, Buters JTM, Ward JM, Bruno MK, Lucas AM, Stern ST, et al. Protection against Acetaminophen Toxicity in CYP1A2 and CYP2E1 Double-Null Mice. ToxicolApplPharmacol. 1998;152(1):193–9.
- Pandima Devi K, Devaki T. Protective effect of Premna tomentosa on acetaminophen-induced acute hepatitis in rats. Med Sci Res. 1998;26(11):785–7.
- Pandima Devi K, Sreepriya M, Balakrishna K, Devaki T. Protective effect of Premna tomentosa (L. Verbenaceae) extract on membrane-bound phosphatases and inorganic cations transport in acetaminophen-induced hepatotoxicity rats. J Ethnopharmacol. 2004;93(2–3):371–5.
- Hari Prasad K, Jayalakshmi R, Chandrakasan G. Inhibitory effect of premna tomentosa (l. Verbenaceae) on stellate cell activation and collagen accumulation in dmn induced hepatifibrosis in rats. Biomedicine. 2006;26(3, 4):34–42.
- Calleja MA, Vieites JM, Montero-Meterdez T, Torres MI, Faus MJ, Gil A, et al. The antioxidant effect of β-caryophyllene protects rat liver from carbon tetrachloride-induced fibrosis by inhibiting hepatic stellate cell activation. Br J Nutr. 2013;109(03):394–401.
- McIntyre N. Plasma lipids and lipoproteins in liver disease. Gut. 1978;19(6):526–30.
- Muller P, Fellin R, Lambrecht J, Agostini B, Wieland H, Rost W, et al. Hypertriglyceridaemia Secondary to Liver Disease. Eur J Clin Invest. 1974 Feb 1;4(1):419–28.
- Devi KP, Sreepriya M, Balakrishna K, Veluchamy G, Devaki T. Assessment of the Protective Potential of Premna tomentosa (L. Verbenaceae) Extract on Lipid Profile and Lipid-Metabolizing Enzymes in Acetaminophen-Intoxicated Rats. J Altern Complement Med. 2004;10(3):540–6.
- Janero DR. Malondialdehyde and thiobarbituric acid-reactivity as diagnostic indices of lipid peroxidation and peroxidative tissue injury. Free RadicBiol Med. 1990;9(6):515–40.
- Mitchell JR, Jollow DJ, Potter WZ, Gillette JR, Brodie BB. Acetaminophen-induced hepatic necrosis. IV. Protective role of glutathione. J PharmacolExpTher. 1973;187(1):211–7.
- Devi KP, Sreepriya M, Balakrishna K, Devaki T. Protective effect of Premna tomentosa extract (L. verbanacae) on acetaminopheninduced mitochondrial dysfunction in rats. Mol Cell Biochem. 2005;272(1-2):171–7.
- Muriel P, Garciapiña T, Perez-Alvarez V, Mourelle M. Silymarin protects against paracetamol-induced lipid peroxidation and liver damage. J ApplToxicol. 1992;12(6):439–42.
- Reicks MM, Crankshaw D. Effects of D-limonene on hepatic microsomal monooxygenase activity and paracetamol-induced glutathione depletion in mouse. Xenobiotica. 1993;23(7):809–17.
- Chance B, Greenstein DS, Roughton FJW. The mechanism of catalase action. I. Steady-state analysis. Arch BiochemBiophys. 1952;37(2):301–21.
- Zhang X, Ouyang J, Thung SN. Histopathologic manifestations of drug-induced hepatotoxicity. Clin Liver Dis. 2013 Nov;17(4):547–64.
- Blazka ME, Elwell MR, Holladay SD, Wilson RE, Luster MI. Histopathology of acetaminophen-induced liver changes: role of interleukin 1 alpha and tumor necrosis factor alpha. ToxicolPathol. 1996 Apr;24(2):181–9.
- Guguloth S, Vivekanandan L, Singaravel S, Sheik HS, Thangavel S. Hepatoprotective activity of Vitexnegundo Linn bark against chemical induced toxicity in experimental rats. Pharmanest. 2011;2(5-6):534–41.
- Girish C, Koner BC, Jayanthi S, Ramachandra Rao K, Rajesh B, Pradhan SC. Hepatoprotective activity of picroliv, curcumin and ellagic acid compared to silymarin on paracetamol induced liver toxicity in mice. FundamClinPharmacol. 2009;23(6):735–45.
- Missing Value Imputation and Normalization Techniques in Myocardial Infarction
Abstract Views :249 |
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Authors
K. Manimekalai
1,
A. Kavitha
2
Affiliations
1 Department of Computer Applications, Sri GVG Visalakshi College for Women, IN
2 Department of Computer Science, Kongunadu Arts and Science College, IN
1 Department of Computer Applications, Sri GVG Visalakshi College for Women, IN
2 Department of Computer Science, Kongunadu Arts and Science College, IN
Source
ICTACT Journal on Soft Computing, Vol 8, No 3 (2018), Pagination: 1655-1662Abstract
Missing Data imputation is an important research topic in data mining. In general, real data contains missing values. The presence of the missing value in the data set has a major problem for precise prediction. The objective of this paper is to highlight possible improvement of existing algorithm for medical data. KNBP imputation method based on KNN and BPCA is proposed and evaluate MSE and RMSE estimates. Normalization is done by comparing three algorithms namely min-max normalization, Z-score and decimal scaling. The experiment is done with standard bench mark data and real time collected data. KNBP imputation method and Decimal Scaling Algorithm for Normalization got lower error rate.Keywords
Mean, Hot Deck, KNN, BPCA, KNBP, Min-Max Algorithm, Z-Score, Decimal Scaling.References
- A. Sudha, P. Gayathri and N. Jaishankar, “Utilization of Data Mining Approaches for Prediction of Life Threatening Disease Survivability”, International Journal of Computer Applications, Vol. 14, No. 17, pp. 51-56, 2012.
- M. Durairaj and S. Sivagowry, “A Pragmatic Approach of Preprocessing the Data Set for Heart Disease Prediction”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 2, No. 11, pp. 23-29, 2014.
- Tahani Aljuaid and Sreela Sasi, “Proper Imputation Techniques for Missing Values in Data sets”, Proceedings of International Conference on Data Science and Engineering, pp. 168-176, 2016.
- Peter Schmitt, Jonas Mandel and Mickael Guedj, “A Comparison of Six Methods for Missing Data Imputation”, Journal of Biometrics and Biostatistics, Vol. 6, No. 1, pp. 1-6, 2015.
- Vinod Bharat, Balaji Shelale, K. Khandelwal and Sushant Navsare, “A Review Paper on Data Mining Techniques”, International Journal of Engineering Science and Computing, Vol. 4, No. 5, pp. 1976-1979, 2016.
- Suad A. Alasadi and Wesam S. Bhaya, “Review of Data Preprocessing Techniques in Data Mining”, Journal of Engineering and Applied Sciences, Vol. 12, No. 16, pp. 4102-4107, 2017.
- J.F. Mac Gregor and T. Kourti, “Statistical Process Control of Multivariate Processes”, Control Engineering Practice, Vol. 3, No. 3, pp. 403-414, 1995.
- R. Dunia, S.J. Qin and T.F. Edgar, “Identification of Faulty Sensors using Principal Component Analysis”, AICHE Journal, Vol. 42, No. 10, pp. 2797-2812, 1996.
- R. Little, “Statistical Analysis with Missing Data”, 2nd Edition, Wiley Press, 2002.
- Nazri Mohd Nawi, Walid Hasen Atomi and M. Z. Rehman, “The Effect of Data Pre-Processing on Optimized Training of Artificial Neural Networks”, Procedia Technology, Vol. 11, pp. 32-39, 2013.
- Bhavisha Suthar, Hemant Patel and Ankur Goswami, “A Survey: Classification of Imputation Methods in Data Mining”, International Journal of Emerging Technology and Advanced Engineering, Vol. 2, No. 1, pp. 309-312, 2012.
- Runmin Wei, Jingye Wang, Mingming Su, Erik Jia, Tianlu Chen and Yan Ni, “Missing Value Imputation Approach for Mass Spectrometry-based Metabolomics Data”, Scientific Reports, Vol. 8, pp. 663-674, 2017.
- Kristen A. Seversaon, Mark C. Molaro and Richard D. Braatz, “Principal component Analysis of process Datasets with Missing Values”, Processes, Vol. 5, No. 3, pp. 38-49, 2017.
- Hiroshi De Silva and A. Shehan Perera, “Missing Data Imputation using Evolutionary K-Nearest Neighbor Algorithm for Gene Expression Data”, Proceedings of 6th International Conference on Advances in ICT for Emerging Regions, 2017.
- Dan Zeng, Dan Xie, Ran Liu and Xiaodong Li, “Missing Value Imputation Methods for TCM Medical Data and its Effect in the Classifier Accuracy”, Proceedings of 16th International Conference on Advances in ICT for Emerging Regions, pp. 339-354, 2017.
- S. Thirukumaran and A. Sumathi, “Improving Accuracy Rate of Imputation of Missing Data using Classifier Methods”, Proceedings of 10th International Conference on Intelligent Systems and Control, pp. 1243-1251, 2017.
- Shichao Zhang, Debo Cheng, Zhenyun Deng, Ming Zong and Xuelian Deng, “A Novel KNN Algorithm with Data Driven K Parameter Computation”, Pattern Recognition Letters, 2017.
- Xianglin Yang, Yunhai Tong, Xiang Shuai Zhao, Zhi xu, Yanjunli, Xin Jia and Shaohna Tan, “Adaptive Logistic Group Lasso Method for Predicting the No-Reflow among the Multiple Types of High Dimensional Variables with Missing Data”, Proceedings of 7th International Conference on Software Engineering and Service Science, pp. 461-469, 2017.
- Mehran Amiri and Richard Jensen, “Missing Data Imputation using Fuzzy-Rough Methods”, Neurocomputing, Vol. 205, pp. 152-164, 2016.
- Asma Saleem, Khadim Hussain Asif, Ahmad Ali and Shahid Mahmood Awan, “Pre-Processing Methods of Data Mining” Proceedings of 7th International Conference on Utility and Cloud Computing, pp. 651-663, 2014.
- Xiangyang Liu, “A Preprocessing Method of AdaBoost for Mislabeled Data Classification”, Proceedings of 29th International Conference on Control and Decision, pp. 23-32, 2017.
- A. Daraei, H. Hamaidi, “An Efficient Predictive Model for Myocardial Infarction using Cost-sensitive J48 Model”, Iran Journal of Public Health, Vol. 46, No. 5, pp. 682-692, 2017.
- Thripurna Thatipelli and Padmavathi Kora, “Classification of Myocardial Infarction using Discrete Wavelet Transform and Support Vector Machine”, International Research Journal of Engineering and Technology, Vol. 4, No. 7, pp. 429-432, 2017.
- V. Hemalatha and C. Usha Nandhini, “An Efficient Approach for Constructing a Model for Diagnosing Heart Disease Dataset”, International Journal of Contemporary Research in Computer Science and Technology, Vol. 3, No. 3, pp. 41-44, 2017.
- Sarab AlMuhaideb, “An Individualized Preprocessing for Medical Data Classification”, Procedia Computer Science, Vol. 82, pp. 35-42, 2016.
- Hojat Hamidi and Atefeh Daraci, “A New Hybrid Method for Improving the Performance of Myocardial Infarction Prediction”, Journal of Community Health Research, Vol. 5, No. 2, pp. 110-120, 2016.
- Muhammad Sheikh Sadi, et al., “A New Approach to Extract Features from ECG Signals”, Proceedings of 2nd International Conference on Electrical Information and Communication Technology, pp. 189-194, 2015.
- S. Selva Nithyananthan, S. Saranya and R. Santha Selva Kumari, “Myocardial Infarction Detection and Heart Patient Identity Verification”, Proceedings of International Conference on Wireless Communications, Signal Processing and Networking, pp. 1107-1111, 2016.
- Manuel Martin Salvador, Marcin Budka and Bogdan Gabrys, “Effects of Change Propagation Resulting from Adaptive Preprocessing in Multicomponent Predictive Systems”, Procedia Computer Science, Vol. 96, pp. 713-722, 2016.
- V. Seenivasagam and R. Chitra, “Myocardial Infarction Detection using Intelligent Algorithms”, Neural Network World, Vol. 1, pp. 91-110, 2016.
- S. Gopal Krishna Patro, Kishore Kumar sahu, “Normalization: A Preprocessing Stage”, Available at: https://arxiv.org/ftp/arxiv/papers/1503/1503.06462.pdf.
- Padmavathi Kora and Sri Ramakrishna Kalva, “Improved Bat Algorithm for the Detection of Myocardial Infarction”, Springerplus, Vol. 3, No. 4, pp. 666-678, 2015.
- Thripurna Thatipelli and Padmavathi Kora, “Classification of Myocardial Infarction using Discrete Wavelet Transform and Support Vector Machine”, International Research Journal of Engineering and Technology, Vol. 4, No. 7, pp. 429-432, 2014.
- M. Durairaj and S. Sivagowry, “A Pragmatic Approach of Preprocessing the Data Set for Heart Disease Prediction”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 2, No. 11, pp. 6457-6465, 2014.
- S. Florence, N.G. Bhuvaneswari Amma, G. Annapoorani and K. Malathi, “Predicting the Risk of Heart Attacks using Neural Network and Decision Tree”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 2, No. 11, pp. 7025-7030, 2014.
- Li Xiang-Wei and Qi Yian-Fang, “A Data Preprocessing Algorithm for Classification Model based on Rough Sets”, Physics Procedia, Vol. 25, pp. 2025-2029, 2012.
- V.V. Jaya Rama Krishniah, D.V. Chandra Sekar and K. Ramchand H Rao, “Predicting the Heart Attack Symptoms using Biomedical Data Mining Techniques”, The International Journal of Computer Science and Applications, Vol. 1, No. 3, pp. 10-18, 2012.
- V. Kumutha and S. Palaniammal, “An Enchanced Approach on Handling Missing Values using Bagging K-NN Imputation”, Proceedings of International Conference on Computer Communication and Informatics, pp. 123-128, 2013.
- Tahani Aljuaid and Sreela Sasi, “Proper Imputation Techniques for Missing Values in Data sets”, Proceedings of International Conference on Data Science and Engineering, pp. 108-116, 2016.
- S. Oba, I. Takemasa, M. Monden and K. Matsubara, “A Bayesian Missing Value Estimation Method for Gene Expression Profile Data”, Bioinformatics, Vol. 19, No. 16, pp. 2088-2096, 2003.
- Acute Oral Toxicity of Essential Oil Extracted from the Leaves of Ocimum Sanctum L. (Thulasi) in Female Wistar Albino Rats.
Abstract Views :299 |
PDF Views:0
Authors
Venugopal Jayapal
1,
V. Subha
2,
K. Bhavani
3,
Kartik Janardan Salwe
4,
K. Manimekalai
5,
Josh M Easow
6,
Stephen Selvaraj
7
Affiliations
1 Professor of Microbiology, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth, Deemed to be University, Puducherry., IN
2 Veterinary surgeon, Mahatma Gandhi Medical College and Research Institute, Puducherry., IN
3 Associate Professor, Pathology Department, Mahatma Gandhi Medical College and Research Institute, Puducherry., IN
4 Professor, Pharmacology Department, Mahatma Gandhi Medical College and Research Institute, Puducherry., IN
5 Professor and HOD, Pharmacology Department, Mahatma Gandhi Medical College and Research Institute, Puducherry., IN
6 Professor and HOD, Microbiology Department, Mahatma Gandhi Medical College and Research Institute, Puducherry., IN
7 Professor, Microbiology department, Mahatma Gandhi Medical College and Research Center., Puducherry., IN
1 Professor of Microbiology, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth, Deemed to be University, Puducherry., IN
2 Veterinary surgeon, Mahatma Gandhi Medical College and Research Institute, Puducherry., IN
3 Associate Professor, Pathology Department, Mahatma Gandhi Medical College and Research Institute, Puducherry., IN
4 Professor, Pharmacology Department, Mahatma Gandhi Medical College and Research Institute, Puducherry., IN
5 Professor and HOD, Pharmacology Department, Mahatma Gandhi Medical College and Research Institute, Puducherry., IN
6 Professor and HOD, Microbiology Department, Mahatma Gandhi Medical College and Research Institute, Puducherry., IN
7 Professor, Microbiology department, Mahatma Gandhi Medical College and Research Center., Puducherry., IN
Source
Research Journal of Pharmacy and Technology, Vol 15, No 4 (2022), Pagination: 1827-1830Abstract
Due to the widespread use of antimicrobial agents, many Microorganisms have developed drug resistance to many available antimicrobials today. Essential oils from different plants are being explored for their ability to treat various human diseases, including infectious diseases. Earlier, we have found that the essential oil from the leaves of Ocimum sanctum L. had anti bacterial effect on 18 human pathogenic bacteria. In the present study, the essential oil of Ocimum sanctum L. was evaluated for its toxic effects at 300 mg / Kg body weight and 2000 mg / Kg body weight of female Wistar albino rats as per the OECD Guidelines 423 for testing of chemicals. The 14 day acute oral toxicity test has shown Ocimum sanctum L. essential oil is not toxic at 300 mg / Kg body weight of animals but has some toxic effects at 2000 mg /Kg body weight of animals. However, no animals died during the 14 day acute oral toxicity test with 2000 mg / Kg body weight of animals and therefore the LD50 dose of Ocimum sanctum L. should be more than 2000 mg / Kg of body weight of female Wister albino rats.Keywords
Ocimum sanctum, Essential oil, Acute oral toxicity, Wistar albino female rats, Thulasi.References
- Politeo O et al. Chemical composition and antioxidant capacity of free volatile aglycones from basil (Ocimum basilicum L.) compared with its essential oil. Food Chemistry. 2007; 101:379-385.
- Chil Nunez I et al. Chemical composition and toxicity of Ocimum sanctum L. Var. Cubensis Essential oil up-growing in the eastern of Cuba. International Jl Pharmacognosy and Phytochemical Research. 2017: 9(7): 1021-1028.
- Singh S et al. Biological activities of Ocimum sanctum L. fixed oil-An overview. Indian J Exp Biol. 2007; 45 (5) : 403-412
- Brophy JJ et al. The essential oil of Ocimum tenuiflorum L. (Lamiaceae) growing in Northern Australia. J Essen Oil Res.1993; 5 : 459-461.
- Machado MIL et al. Volatile constituents from leaves and inflorescence oil of Ocimum tenuiflorum L.f ( syn Ocimum sanctum L ) grown in Northeastern Brazil. J Essen Oil Res.1999; 11 : 324-326.
- Viana A and Murillo E. Essential oil composition from twelve varieties of Basil ( Ocimum spp.) grown in Colombia. J Braz Chem Soc. 2003; 14 : 744-749.
- Kothari SK et al. Essential oil yield and quality of methyl eugenol rich Ocimum tenuiflorum L.f. ( Syn Ocimum sanctum L.) grown in South India as influenced by method of harvest. J Chromatogr A. 2004; 1054: 67-72.
- 14.Cannon JB et al. Modification of yield and composition of essential oils by distillation time. Ind Crops Prod.2013 ; 41:214-220.
- Venugopal Jayapal. Antibacterial effect of essential oil of Ocimum sanctum L. by minimal bactericidal concentration, disc diffusion, and gaseous contact exposure methods over 18 bacteria. Jl Pharmacognosy and Phytochemistry. 2018; 7(5) : 3049-3055.
- Prasad et al. Antimicrobial activity of essential oils from some Ocimum species and clove oil. Fitoterapia. 1986; 57 : 429-432 11 Nakamura CV et al. Antibacterial activity of Ocimum gratissimum L, essential oil. 1999; Memorias do Instituto Oswaldo Cruz. 1999 ; 94: 675-678
- Adebolu TT and Oladimeji SA. Antimicrobial activity of leaf extracts of Ocimum gratissimum on selected diarrhea causing bacteria in southwestern Nigeria. African Journal of Biotechnology. 2005 ; 4 :682-684
- Adiguzel A et al. . Antimicrobial effects of Ocimum basilicum (Labiate) extract. Turkish J of Biology. 2005; 29:155-160.
- Verma RS et al.. Chemical composition and antibacterial activity of essential oil from two Ocimum spp. grown in sub-tropical India during spring-summer cropping season. Journal of Traditional Medicines. 2011; 6 : 211-217
- Yamani HA et al.. Antimicrobial activity of Tulsi (Ocimum tenuiflorum) Essential Oil and their major constituents against three species of bacteria. Front Microbiol. 2016 ; 7 :681-692
- Bhargava KP and Singh N. Anti-stress activity of Ocimum sanctum Linn. Ind J Med Res .1981; 73 :443-451
- Gautam MK and Goel RK. Toxicological study of Ocimum sanctum Linn leaves: Hematological, Biochemical, and Histopathological studies.J Toxicol. 2014; published online 2014 Jan 29.doi: 10.1155/2014/135654. PMID: 24616736 PMCID: PMC3927567
- Organization for Economic Cooperation and Development. OECD guidelines-423.17 th December 2001.