Oleo-gum-resin is a complex mixture of essential oils, polysaccharides, and resin acids. The objectives of the present study were to evaluate the variation in chemical components and antimicrobial activity of essential oils extracted by superheated steam at various temperatures.The optimum essential oil yield was obtained at the highest superheated steam temperature (210 ºC). In total, twenty-one compounds were quantified by GC-MS with α-pinene as the major compound, followed by α-thujene, trans-verbenol, β-thujone, p-cymene, m-cymene, and sabinene. Antimicrobial activity was performed by disc diffusion, resazurin microtitre-plate and micro-dilution broth susceptibility assays in which essential oil extracted at 150 ºC and 180 ºC revealed the highest antibacterial and antifungal activity, respectively. It is concluded that superheated steam is an effective method for the isolation of essential oil from oleo-gum-resin that improves the recovery of essential oil as well as antimicrobial activity.
Syzygium aromaticum L. is an aromatic plant with a significant amount of essential oil (EO), which is used in food, medicine, for flavoring, and in the fragrance industry. The purpose of this study was to comparatively evaluate the chemical composition, yield, and antioxidant and antifungal activities of Syzygium aromaticum essential oils extracted by the conventional hydro-distillation, steam distillation, and the emerging superheated steam distillation methods. It was noticed that the extraction methods significantly influenced the yield, chemical composition, and antioxidant and antimicrobial activities of essential oils. The maximum yield was obtained using superheated steam distillation, followed by hydro-distillation and steam distillation. The antioxidant potential of EO extracts was evaluated following the scavenging of 2,2-dipenyl-1-picrylhydrazyl radicals, hydrogen peroxide scavenging activity and ferric reducing power assays. Results revealed that EO extracted superheated steam distillation exhibited the highest antioxidant activity. GC-MS analysis depicted eugenol (47.94–26.50%) and caryophyllene (20.24–9.25%) as the major compounds of Syzygium aromaticum EOs. The antimicrobial activity of EO extracts was evaluated, via the resazurin microtiter plate assay, microdilution broth assay, and disc diffusion methods, against normal and food pathogenic bacterial and fungal strains. After comparative evaluation, it was observed that superheated steam extracted EO exhibited the highest antimicrobial potential. Overall, methodical evaluation disclosed that superheated steam distillation is an effective method to extract EOs from plant sources, with greater yield and promising biological activities.
The 1,3,4-Oxadiazole is an aromatic heterocyclic moiety recognized in drug research for its low lipophilicity. The multiple functionalities, heterocyclic azinane, sulfonamide, 1,3,4-oxadiazole and acetamide, are combined collectively to enhance the bioactivity potential of synthesized molecules. All the compounds were acquired by following microwave assisted and conventional techniques in a comparative way. The synthesized derivatives were screened for their antibacterial and enzyme inhibition potential. Furthermore, BSA binding analysis was executed to infer about the interaction with serum albumin. The spectral data of IR, EI-MS, 1H-NMR and 13C-NMR were used to elucidate the final structures of compounds. The synthesized compounds had a modest antibacterial potential. Compound 8f bearing 2-methyl-4,5-dinitrophenyl group was the most active one against all the bacterial strains taken into account and α-glucosidase enzyme. Compound 8d bearing 4-nitrophenyl group was the best acetyl cholinesterase inhibitor and 8i bearing phenylethyl group was the best urease inhibitor.
we are living in an era full of technology and the most powerful feature behind this technology is the communication between two or more things. We achieved globalization with the power of digital computers and their ability to communicate. The next shape of computers for interactive remote processing is internet of things or wireless sensors network and for data storage it is cloud. These tiny computers with heterogeneous characteristics are very helpful in making environment smart and interactive in different ways. In this paper, we are proposing an Ambient Intelligence architecture for safety and energy efficiency using sensors, further we are formalizing the architecture for its accuracy and reliability. The three major sensors are smoke sensor for safety, glass break detector sensor for security, motion sensor for energy efficiency. In addition, the working of all sensors is also formalized for its correctness.
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