A Brief Study on Bioactive Plant Polysaccharides
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2021, Vol 9, Issue 5
Abstract
Normal polysaccharides from various sources have been studied and utilized in a variety of applications for a long time, encompassing feed and food, pharmaceutical and pharmacognosy, and papermaking. Due to their biocompatibility, biodegradability, non-harmfulness, and certain specific helpful activities, polysaccharides, particularly bioactive ones, have provoked consideration in late a long time for an assortment of new employments. The essential point of this study was to look at the beginnings, locally natural action, segregation, portrayal, and underlying attributes of locally bioactive polysaccharides. Moreover, the article centers around synthetic/chemo-enzymatic functionalization's that might open up new roads for boosting the worth of polysaccharides, especially those got from wood-species, in already undiscovered presentations, exclusively in bio-medical solicitations, for example, tissue designing, injury mending, and medication conveyance. The motivation behind this paper was to talk about new strategies for fitting useful materials with the previously declared submission likelihoods for poly-saccharides got from wood-species.
Authors and Affiliations
Seema Manwani
Keywords
Related Articles
- EP ID EP747281
- DOI 10.55524/ijircst.2021.9.5.14
- Views 1
- Downloads 0
A Review on Microwave Baking of Foods
Microwaves communicate with polar atoms and charged particles of food to produce heat. There are contrasts between the warming instruments of microwave and traditional warming. The utilization of microwave warming enjoys...
Deep Learning-Based Chip Power Prediction and Optimization: An Intelligent EDA Approach
This paper explores the integration of deep learning techniques in Electronic Design Automation (EDA) tools, focusing on chip power prediction and optimization. We investigate the application of advanced AI technologies,...
Use of Smart Intrusion Detection System for Enhancing the Security in Hierarchical Wireless Sensor Network
Trusted environment provides safety measures for the sensor network. There are many problems that occur during the management of resources. Memory management and computation overhead or CPU usage are the major issues. Se...
Regression and Classification Model Based Predictive Maintenance of Aircrafts Using Neural Network
One of the key objectives of today's businesses and mills is to predict machine problems. Failures must be avoided, because downtimes represent expensive expenses and a loss of productivity. This is why the number of rem...
Impact of Climate Change on Water Resources in Kashmir, India
The main objective of the study was to test the performance and feasibility of SWAT model for prediction of stream flow in state of Jammu and Kashmir in India. The model was auto calibrated for a period of 8 years (2013...