Formulation And Characterization Of Root Extract Of Punica Granatum L. Containing Ointment Against Bacterial Pathogens

The potential antimicrobial activity and physicochemical characteristics of a ointment containing roots of Punica granatum L. were examined. The antimicrobial activity was carried out by performing agar well diffusion method. Antimicrobial efficacy of aqueous and ethylacetate solvent extract of roots of Punica granatum L was evaluated against E.coli and Staphylococcus aureus. The extracts which showed better results were chosen for formulation of ointment. We created an ointment by mixing 10% w/w aqueous extract of Punica granatum into an aqueous cream. The homogeneity, spreadability, extrudability, pH, viscosity, the ointment formulation were all evaluated. These results imply that a herbal ointment derived from Punica granatum is a potent topical formulation that combines contemporary pharmaceutical technology with traditional herbal medicine to treat skin infections

Bioremediation of Penicillin-Contaminated Poultry Faecal Waste using Betalactamase-Producing Bacteria

The widespread use of antibiotics in poultry farming has led to the contamination of the environment with antibiotic residues, posing significant risks to human health and contributing to the development of antibiotic resistance. In this study, we aimed to isolate betalactamase-producing bacteria from poultry faecal waste samples obtained from local poultry processing industries in Namakkal, Tamilnadu, India. The potential isolates were further characterized for betalactamase enzyme activity and their ability to degrade penicillin, a commonly used antibiotic in the poultry industry. Twenty poultry faecal waste samples were collected from regular poultry waste dumping sites. Microorganisms were isolated from these samples using the serial dilution and plating method on nutrient agar media. The isolated bacterial colonies were purified to obtain pure cultures for further analysis. The betalactamase-producing isolates were identified using the iodometric tube method, and four out of ten isolates showed positive results for betalactamase activity. These positive isolates were subjected to enzyme assay, and isolate 10 exhibited the highest enzyme activity with a concentration of 43U/ml, followed by isolate 7 with 30.5U/ml of enzyme. The potential betalactamase-producing isolate 10 was selected for its application in the degradation of penicillin in poultry faecal waste. The faecal waste samples were collected from the antibiotic-contaminated area of a poultry farm. After the addition of separated crude enzyme (5ml of 100U), the faecal sample was incubated for 15 days under specific conditions. HPLC analysis revealed a significant degradation of penicillin in the test sample treated with the betalactamase enzyme, with a degradation percentage of 48.6%. The results of this study indicate that betalactamase-producing bacteria can effectively degrade penicillin in poultry faecal waste. This bioremediation approach presents a potential solution to reduce antibiotic pollution in the environment and mitigate the risk of antibiotic resistance. Further research and application of such enzymatic degradation methods could contribute to sustainable and eco-friendly waste management practices in the poultry industry

Hyaluronic Acid Nanomaterials in Targeted Drug Delivery for Cancer Therapy

Hyaluronic acid and the CD44 receptor have been the subject of 3D interaction and molecular analysis that has revealed crucial residues, binding specificity, stabilizing relationships, and structural insights within the complex. The analysis has focused on amino acid interactions. It is a crucial field of study with both fundamental and applied consequences because this understanding not only illuminates the molecular mechanisms directing their interaction but also shows promise for future therapeutic approaches. The new methods cover a variety of strategies, such as creating highly focused treatments, combining treatments with other well-known techniques like immunotherapy and chemotherapy, and moving toward customized medicine. Combining state-of-the-art nanotechnology with hyaluronan-based pharmaceuticals could improve lung cancer therapy's precision, bioavailability, and drug delivery. Clinical trials will be essential in proving these medicines' safety and effectiveness so that they may be incorporated into standard cancer treatment. Moreover, investigating immune regulation via hyaluronan may open up new avenues for bolstering the body's defenses against  cancer. With a calculated binding energy score of -6.70, the interaction between hyaluronan and the CD44 protein receptor was observed to be remarkably strong and favorable, suggesting a robust connection. This highlights the potential for utilizing hyaluronic nanomaterials to facilitate the targeted delivery of commercially available cancer drugs to specific cancer sites

Biosynthesis of Silver nanoparticles Using Rosaceae Petal extract and analysing its antimicrobial assay

Recent developments in nanoscience and nanotechnology have brought about a fundamental shift in the way we identify, treat, and prevent numerous diseases in all aspects of human life. Silver nanoparticles (AgNPs) are among the most significant and intriguing metallic nanoparticles employed in biomedical applications. AgNPs are very important for the domains of nanomedicine, nanoscience, and nanotechnology. Although numerous noble metals have been used for a wide range of applications, AgNPs have drawn special attention because of their potential for use in cancer treatment and diagnosis. The study showed an efficient method for the successful synthesis of AgNPs using petal extract from Rosaceae plants and characterizes them using a UV spectrometer and SEM. The produced AgNPs showed notable antibacterial activity against a variety of microbes, suggesting that they could find use as an antimicrobial agent in a number of different contexts. The work offers insightful information about how AgNPs might be used as a robust antibacterial agent against a variety of microbes

Multi-Parameter Sensor Based Automation Farming

IOT innovation is used in the development of the Smart Farming Tracking the System. An Arduino Uno, a temperature humidity sensor, soil moisture sensor, water level sensor, water pumps, and DC motors strength this system. If the smart farming tracking system turns on, the sensors find the field’s water level and the soil’s moisture level. If the irrigation water stage falls below the level defined for a specific crop grown in the growing area, the irrigation system is going to start to pump water. The IOT warns concerning current level of water, soil moisture stage, and motor beginning will be shown on the LCD panel of the section. We are able to use the pumps by hand via a webpage. The farmers are additionally getting this data via mobile phone. By hitting a system- provided link, the individual using it may firmly prevent the water’s flow within the field. While carried out, the system will assist landowners to preserve suitable soil water and moisture levels, thus boosting yields with little work. The goal of this article is to identify grow illnesses and reduce losses in money. For picture appeal, we suggested an entirely based on deep learning method. We put the three most common Neural Network Designs to the test: Faster Region-based entirely judgment (SVM)Support Vector Machine Region-based entirely (RF) Random Forest method. The method suggested in the research can correctly detect many types of disease and is capable of dealing in complicated situations. In addition, the method may be expanded to recommend fertilizer according to extent evaluation as well as measurement. artificial intelligence (AI) entirely Machine Learning Response to this the combination the issue is a supervised categorization judgment