ANTIOXIDANT ACTIVITY OF FOURTEEN EULOPHIA SPECIES TRADITIONALLY KNOWN AS AMARKAND

Objective: Amarkand is a group of medicinal plants, of which tubers are regularly consumed by the tribal people in India as food and medicine. It has a strong background of regional ethnopharmacological and food uses. Thus it can be effectively utilized as a source of natural antioxidants. The present study, of fourteen Eulophia species which are predominantly considered as Amarkandâ€, were focused for their antioxidant potential and polyphenolic content which facilitates the contribution of the traditional knowledge of plants from India.Methods: Radical scavenging activity, ferric reducing antioxidant power and anti-lipid peroxidation assay were used to evaluate the antioxidant potential. In addition, total phenols, flavonoid and proanthocynidins were estimated.Results: Results showed that all the studied amarkand species have promising antioxidant potential. Eulophia epidendrea (J. Koenig ex. Retz.) C. E. C. Fisch. (EE) and Eulophia mannii (Rchb. f.) Hook. f. (EM) had highest free radical scavenging potential among all. Eulophia epidendrea have highest ferric reducing potential which may be due to high flavonoid and proanthocyanidin content present.Conclusion: The data clearly demonstrated that EE and EM may serve as a good natural antioxidant source against oxidative stress and related diseases

Survey Paper of Approaches for Real Time Fire Detection

Accidental fire always causes great loss. If that fire is detected in time, then loss can be minimized. Hence there should be more efficient systems to avoid losses. Most of the fire detection systems are based on sensors. These sensors give false alarms in case of cigarette or essence sticks are burnt and these systems are also quite costly. By using fire detection system through video surveillance cameras the cost of system can be reduced. The videos achieved by popular surveillance cameras are analysed and different topologies of information, respectively based on colour and movement are united into a multi expert system in order to increase the overall accuracy of the approach, making it possible its usage in real time applications. The systems use HSV, HSL, YUV models. In these systems, the models are based on colour, motion and shape. The approaches have been tested on a wide database with the aim of assessing its performance both in terms of sensitivity and specificity