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Antioxidant Activity of Six Selected Medicinal Plants, Pakistan

Antioxidant Activity of Six Selected Medicinal Plants, Pakistan

Iram Liaqat1*, Umaima Bibi2, Muhammad Arshad3 and Najma Arshad2*

1Microbiology Lab, Department of Zoology, Government College University, Lahore, Pakistan; 2Department of Zoology, Institute of Molecular Biology and Biotechnology, University of Lahore, Lahore, Pakistan; 3Department of Zoology, University of Education, Lahore, Pakistan.

 
*Correspondence | Iram Liaqat, Microbiology Lab, Department of Zoology, Government College University, Lahore; Email: [email protected]; Najma Arshad, Department of Zoology, Institute of Molecular Biology and Biotechnology, University of Lahore, Lahore, Pakistan; Email: [email protected]

Figure 1:

Determination of total phenolic contents (mg GAE/g dry wt.) in six medicinal plants in vitro. Data represent mean ± SD, using one way analysis of variance (one way ANOVA), data was statistically analyzed. Differences in means were sorted out using Duncans Multiple Range (DMR) test with the help of SAS 9.1 for windows. The P< 0.05 was considered statistically significant.

Figure 2:

In vitro antioxidant activity of six medical plans by DPPH assay. Data represent mean ± SD, using one way analysis of variance (one way ANOVA), data was statistically analyzed. Differences in means were sorted out using Duncans Multiple Range (DMR) test with the help of SAS 9.1 for windows. The P< 0.05 was considered statistically significant.

Figure 3:

Hydroxyl radical scavenging activity. Data represent mean ± SD, using one way analysis of variance (one way ANOVA), data was statistically analyzed. Differences in means were sorted out using Duncans Multiple Range (DMR) test with the help of SAS 9.1 for windows. The P< 0.05 was considerd statistically significant.

Figure 4:

Superoxide radical scavenging activity. Data represent mean ± SD, using one way analysis of variance (one way ANOVA), data was statistically analyzed. Differences in means were sorted out using Duncans Multiple Range (DMR) test with the help of SAS 9.1 for windows. The P< 0.05 was considerd statistically significant.

Journal of Innovative Sciences

December

Vol.9, Iss.2, Pages 192-241

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