Analysis of phytochemical constituents and antibacterial activity of Wrightia tinctoria: traditional medicinal plant of India for application on wound dressing materials

48-54Wrightia tinctoria, an important traditional medicinal plant is exploited for treating several diseases. The study intends to reveal the presence of phytochemicals and test the antibacterial activity of W. tinctoria leaf extracts on nonwoven fabrics to find its suitability for wound dressings. The methodology includes identification and collection of W. tinctoria leaves, preparation of leaf powder, determination of physicochemical analysis, extraction using different solvents, preliminary phytochemical screening, quantitative estimation of phytoconstituents, yield of the extracts and determination of antibacterial activity on plant extract treated fabrics. Results revealed the presence of more active metabolites in the ethanol plant extract of W. tinctoria leaves which may be the reason for the promising antibacterial potential against the bacterial strains. As a promising ethnomedicinal plant, W. tinctoria may serve as a major source of useful drugs finding its suitability for developing wound dressings

Degradation of aflatoxin B1 from naturally contaminated maize using the edible fungus Pleurotus ostreatus

Aflatoxins are highly carcinogenic secondary metabolites that can contaminate approximately 25% of crops and that cause or exacerbate multiple adverse health conditions, especially in Sub-Saharan Africa and South and Southeast Asia. Regulation and decontamination of aflatoxins in high exposure areas is lacking. Biological detoxification methods are promising because they are assumed to be cheaper and more environmentally friendly compared to chemical alternatives. White-rot fungi produce non-specific enzymes that are known to degrade aflatoxin in in situ and ex situ experiments. The aims of this study were to (1) decontaminate aflatoxin-B-1-(AFB(1)) in naturally contaminated maize with the edible, white-rot fungus Pleurotus ostreatus (oyster mushroom) using a solid-state fermentation system that followed standard cultivation techniques, and to (2) and to assess the risk of mutagenicity in the resulting breakdown products and mushrooms. Vegetative growth and yield characteristics of P. ostreatus were not inhibited by the presence of-AFB(1).-AFB(1) was degraded by up to 94% by the Blue strain. No aflatoxin could be detected in P. ostreatus mushrooms produced from-AFB(1)-contaminated maize. Moreover, the mutagenicity of breakdown products from the maize substrate, and reversion of breakdown products to the parent compound, were minimal. These results suggest that P. ostreatus significantly degrades-AFB(1) in naturally contaminated maize under standard cultivation techniques to levels that are acceptable for some livestock fodder, and that using P. ostreatus to bioconvert crops into mushrooms can reduce-AFB(1)-related losses.University of Arizona Green Fund [GF 15.31]Open Access Journal.This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]

A SURVEY ON EFFICIENT DATA COLLECTION IN WIRELESS SENSOR NETWORKS

ABSTRACT: Wireless sensor networks (WSNs) have wide variety of applications and provide to many future. One of the most important applications is Sensor data collection. The sensor network collects the environment data from all sensor nodes periodically. In this paper used as the Time Division Multiple Access (TDMA) concept. The TDMA concept is used to efficiently collecting sensor data for any traffic patterns. There by reducing the latency of data collections. Our proposed schedule improves the energy efficiency and time efficiency of sensor data collection. In this method is used as the Traffic Patterns Oblivious algorithm (TPO). To develop a mathematical models to analysis the performance of the proposed schedule

FAULT TOLERANT SCHEDULING ALGORITHM FOR EFFICIENT DATA COLLECTION WITH DYNAMIC TRAFFIC PATTERNS IN WIRELESS SENSOR NETWORKS

Wireless sensor networks (WSNs) have been applied to many application since emerging. One of the most important applications is Sensor Data Collection where sensed data are collected at all or some of the sensor nodes a forwarded to a central base station for further processing. The network traffic pattern of continuous sensor data collection often changes constantly over time due to the exploitation of temporal and spatial data correlations as well as the nature of condition-based monitoring applications. In contrast to most existing TDMA schedules designed for a static network traffic pattern, a novel TDMA schedule that is capable of efficiently collecting sensor data for any network traffic pattern and is thus well suited to continuous data collection with dynamic traffic patterns. TPO scheduling algorithm is used in TDMA. TPO scheduling algorithm works in round structure. The schedule also allows the base station to conclude data collection as early as possible according to the traffic load, thereby reducing the latency of data collection. Fault occurred inside the network they cannot be identified and also data loss is increased. In the proposed schedule used as the Fault-Tolerant scheduling algorithm. The fault tolerant scheduling algorithm is used as the efficiently collected sensor data any network traffic patterns. Secure Event Boundary Detection (SEBD) scheme is used in fault tolerant scheduling algorithm. In this, scheduling algorithm is applied to increase the delivery ratio. Any fault occurs inside in this network they have to identify

Analysis of phytochemical constituents and antibacterial activity of Wrightia tinctoria: traditional medicinal plant of India for application on wound dressing materials

Wrightia tinctoria is one of the important traditional medicinal plants used in the treatment of various diseases. The idea of the research is to study the presence of phytochemicals and test the antibacterial activity of Wrightia tinctoria leaf extracts on nonwoven fabrics to find its suitability for wound dressings. The methodology includes identification and collection of W.tinctoria leaves, preparation of leaf powder, determination of physicochemical analysis, extraction using different solvents, preliminary phytochemical screening, quantitative estimation of phytoconstituents, yield of the extracts and determination of antibacterial activity on treated fabrics. Results revealed the presence of more active metabolites in the extracts of W.tinctoria which may be the reason for the promising antibacterial potential against the bacterial strains. As a promising ethnomedicinal plant, Wrightia tinctoria may serve as a major source of useful drugs finding its suitability for developing wound dressings