Antioxidant and Antimicrobial Properties of the Essential Oil and Extracts of Zanthoxylum alatum

The essential oil obtained from the fresh leaves of Zanthoxylum alatum was analysed by gas chromatography/mass spectrometry (GC/MS). Fourteen components were identified, and linalool (30.58%), 2-decanone (20.85%), β-fenchol (9.43%), 2-tridecanone (8.86%), β-phellandrene (5.99%), Sabinene (4.82%), and α-pinene (4.11%) were the main components. The EO and methanolic extract of Z. alatum exhibited potent antifungal activity against Alternaria alternata, Alternaria brassicae, and Curvularia lunata. The EO also showed significant antibacterial activity against Bacillus subtilis, Micrococcus luteus, Staphylococcus aureus, and Escherichia coli. Further, antimicrobial constituents of the EO were isolated by bioautography and preparative thin layer chromatography (PTLC) and identified as β-fenchol and linalool using GC/MS analysis. In addition to this, the free radical scavenging activity and antioxidant potential of EO and methanolic extract/fractions of Z. alatum were also investigated using in vitro assays including scavenging ability against DPPH•, reducing power and chelating ability on Fe2+ ions. Our results demonstrate that Z. alatum could be used as a resource of antioxidant and antimicrobial compounds which may find applications in food and pesticide industries

AN AUTONOMIC CLOUD ENVIRONMENT FOR HOSTING E-VOTING FOR CORPORATE INSTITUTIONS

ABSTRACT it poses, such as unequal access (digital divide), violation to secrecy and anonymity, alteration of the results of an election (because of malicious attacks, bad design/coding, or Procedural weaknesses). As in the case of corporate world, we have proposed the development of an autonomic system which helps in the conduction of the transparent voting process for the corporate companies. All the ve rification process, counting of votes and declaration of results will be automatic. Thus, creating a self-sufficient and secured system with the help of NFC. Further, this system will also provide a platform for rating of the products in the form of "like s". This will help in planning the product release and also help in predicting the market trends so that the maximum product sales can be achieved