International Journal of Biological Technology
ISSN: 0976-4313 Print
Translate this page in your preferred language:
Home | About the Journal |Instruction to Authors | Submit to Manuscript | Current Volume | Archives | Editorial Board | Contact Us
INDIA
GTRP- BIOJOURNALS
PEER - REVIEWED JOURNAL
Volume No.15(2) August - November,2024
Table and Contents
Forth Coming Issue
Archives
Antimicrobial activity and identification of Essential oils constituents of leaves of Wrightia tinctoria (Apocynaeceae)
M. Maridass
FISSD’S- Research Institute of Conservation Ecology (Run by Foundation for Innovative Science and Socio Economic Development (FISSD’S), Arunagiri Complex, Palayamkottai Tirunelveli, Tamilnadu-627002,India.
Email: drmaridass@gmail.com; Mobile : +91-9487567793
FISSD’S- Research Institute of Conservation Ecology (Run by Foundation for Innovative Science and Socio Economic Development (FISSD’S), Arunagiri Complex, Palayamkottai Tirunelveli, Tamilnadu-627002,India.
Email: drmaridass@gmail.com; Mobile : +91-9487567793
Abstract
Wrightia tinctoria R.Br. is belonging to the family of Apocynaceae, it is distributed in the worldwide and throughout in the India. It is a commonly known as Tamil name is veppalai. The extract of the leaves of W. tinctoria was curing the various diseases such as jaundice, psoriasis and other skin diseases. In the present study was to evaluation of an antimicrobial activity of essential oils and identification constituents of essential oils of W. tinctoria leaves.
Methods: 250 gms of fresh leaves materials were added with 1lr water and essential oils were hydro- distilled for the Clevenger apparatus for 1 hr. Yielded of the essential oil compositions of W. tinctoria leaves were identified by GC, GC-MS method and literatures and to investigation of essential oils of W. tinctoria leaves were studied by antibacterial and antifungal activities studied by disc diffusion methods.
Results: The results of the present study observed that fifteen active essential oil compositions of W. tinctoria leaves were identified and major oil compounds were urs-12-en-24-oic acid-3-oxo-methyl ester (29.74%), 1-methyl-5-methylene-8-(1-methylethyl) (18.23%), and hydroquinone (16.32%) and minor level of active compounds in 4-methyl phenol (0.15%), caryophyllene (0.56%), and, indole (0.58%). antimicrobial activity was observed in essential oils of Wrightia tinctoria.
Keywords: Medicinal Plants, Apocynaceae; Wrightia tinctoria; veppalai; leaves, essential oils, GC-MS methods, antimicrobial activity.
Wrightia tinctoria R.Br. is belonging to the family of Apocynaceae, it is distributed in the worldwide and throughout in the India. It is a commonly known as Tamil name is veppalai. The extract of the leaves of W. tinctoria was curing the various diseases such as jaundice, psoriasis and other skin diseases. In the present study was to evaluation of an antimicrobial activity of essential oils and identification constituents of essential oils of W. tinctoria leaves.
Methods: 250 gms of fresh leaves materials were added with 1lr water and essential oils were hydro- distilled for the Clevenger apparatus for 1 hr. Yielded of the essential oil compositions of W. tinctoria leaves were identified by GC, GC-MS method and literatures and to investigation of essential oils of W. tinctoria leaves were studied by antibacterial and antifungal activities studied by disc diffusion methods.
Results: The results of the present study observed that fifteen active essential oil compositions of W. tinctoria leaves were identified and major oil compounds were urs-12-en-24-oic acid-3-oxo-methyl ester (29.74%), 1-methyl-5-methylene-8-(1-methylethyl) (18.23%), and hydroquinone (16.32%) and minor level of active compounds in 4-methyl phenol (0.15%), caryophyllene (0.56%), and, indole (0.58%). antimicrobial activity was observed in essential oils of Wrightia tinctoria.
Keywords: Medicinal Plants, Apocynaceae; Wrightia tinctoria; veppalai; leaves, essential oils, GC-MS methods, antimicrobial activity.
Cite this Article : Maridass,M.(2024). Antimicrobial activity and identification of Essential oils constituents of leaves of Wrightia tinctoria (Apocynaeceae). Int.Nat. Biological Technology, Vol.No.15(2) :1-5. (August-November)
Excellence in Space Operations using Artificial Intelligence
Deshpande A., Ghayar D., Jawalekar V., Kale A., Subhrodipto B. Choudhury*
Students, Artificial Intelligence and Data Science Engineering, ISBM COE, Pune, Maharashtra, India
*Assistant Professor, E & TC, ISBM COE, Pune, Maharashtra, India
Corresponding author: Subhrodipto B. Choudhury
Email : bumbadit@gmail.com
Artificial Intelligence (AI) plays a pivotal role in revolutionizing space operations by enhancing efficiency, safety, and decision-making processes. In the realm of autonomous navigation, AI enables spacecraft to navigate complex trajectories, avoid collisions, and optimize fuel consumption. AI algorithms analyze telemetry data to extract insights, and detect anomalies.Mission planning and optimization benefit from AI-driven algorithms that optimize resource allocation, schedule activities, and improve mission success rates. Robotics and automation in space operations leverage AI for autonomous robotic tasks, such as assembly, maintenance, and repair of spacecraft and infrastructure. Natural language processing facilitates human-machine interaction, enabling seamless communication and control of space systems. AI-based space weather prediction models enhance situational awareness and mitigate risks posed by space weather events. Image and video analysis powered by AI algorithms enhance remote sensing capabilities, enabling high- resolution imaging, object recognition, and terrain mapping. Resource management in space operations benefits from AI- driven algorithms for efficient utilization of energy, water, and other resources aboard spacecraft and space habitats. Deep space communication systems leverage AI for optimizing data transmission, reducing latency, and ensuring reliable communication over vast distances. Overall, AI integration in space operations advances space exploration capabilities, fosters innovation, and opens new frontiers in the exploration and utilization of space resources.
Keywords: Artificial Intelligence, Deep Space Communication, Human-Machine Interaction, Space Operation, Natural Language Processing.
Keywords: Artificial Intelligence, Deep Space Communication, Human-Machine Interaction, Space Operation, Natural Language Processing.
Deshpande, A., Ghayar, D., Jawalekar, V., Kale, A., Subhrodipto & Choudhury,B. ( 2024). Excellence in Space Operations using Artificial Intelligence. Int.Nat. Biological Technology, Vol.No.15(2):6-9.
Cite this Article
