Journal of Advanced Applied Scientific Research (JOAASR)
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Banana peel: precious waste & its astounding properties
No full textThis review paper examines the uses and properties of banana peels as a valuable resource. The first section provides an overview of banana cultivation, including state-wise production in India. The second section explores the potential uses of banana peels in various fields, including skincare, water treatment, textile dyeing, and paper-making. Banana cultivation is a significant agricultural activity in India, with various states contributing to the overall production. However, banana peels are often discarded as waste despite their incredible properties. Recent research has highlighted the potential of banana peels in various fields, including skincare, where they are rich in antioxidants and vitamins.In addition, banana peels have been used in water treatment due to their ability to absorb heavy metals and other pollutants. They can also be used as a natural dye in textiles, providing an eco-friendly alternative to synthetic dyes. In the paper-making industry, banana peels have shown promising results as a raw material due to their high cellulose content.
Overall, this review highlights the potential of banana peels as a valuable and underutilized resource in India. By repurposing banana peels, farmers and manufacturers can reduce waste, conserve resources, and develop sustainable solutions to various societal challenges. The results of this study suggest that banana peels represent a precious waste with astounding properties, which can contribute to a more sustainable and eco-friendly future
Habit of metro surroundings and architectural shaping of natural crystals –a techno bridge between crystallography and civil constructional engineering
Get PDFA scientific platform between crystallography and architectural engineering, recovering number of issues related to the architectural challenge and protect a building from high vibration and dust stimulated from metro- environment. Issue has been controlling through architectural shaping of natural crystal and lattice environment of the minerals. Author addresses the issues on interrelationship between geomorphologic characteristics of the Karnataka in the context of the Metro region and the crystal structure which has also been fetched out from same region. The author is also addresses the combinational analysis of the architectural and space-planning design of the region
Investigation of the morphological, optical and antimicrobial properties of Nd-doped ZnO nanoparticles using Hemidesmus indicus (L.) R. Br. Root extracts
Get PDFIn the current study, we present a low-cost, novel, and straightforward method for the biopreparation of zinc oxide nanoparticles (ZnO NPs) and neodymium (Nd3+) doped ZnO NPs using extracts of Hemidesmus indicus (H. indicus) (L.) R. Br. root like a sustainable reducing as well as coating agent. Rietveld’s analysis of the XRD data showed that ZnO and Nd3+ doped ZnO NPs have a hexagonal wurtzite crystalline level. The morphological representation of synthesized NPs was analyzed by FESEM and chemical composition by EDAX. The different vibrational frequencies were assigned for the FT-IR spectra. The Optical behaviour of the prepared NPs be present studies by UV–visible spectroscopy. Moreover, this study concludes the antimicrobial efficiency of the synthesized NPs opposed to standard and clinical strains of Staphylococcus aureus (gram-positive) and Klebsiella pneumoniae (gram-negative) bacterial strains using the well diffusion method
A Supervised Classification Approach for Detecting Hate Speech in English Tweets
Get PDFAs social concerns about threats of hatred and harassment have grown on the internet, there has been a lot of attention paid to detecting hate speech. This research looks at how well SGD classifiers with hyper-parameter tuning perform at detecting hate speech in tweets. It describes the categorization of English tweets with stochastic gradient descent (SGD) classifiers. The categorization of text documents depends on their content, which is divided into groups based on predefined categories. The Term-Frequency (TF) and Inverse-Document Frequency (IDF) parameters are implemented in the proposed system. A Stochastic Gradient Descent method (SGD) is used to generate classifiers that learn independent features, and performance is assessed using Accuracy and F1-score
Effect of soil pH on plants growth, phytochemical contents and their antioxidant activity
Get PDFPhytochemicals or secondary metabolites are non-nutritive plants derivatives required for a variety of animal bodily functions. Plant growth and available soil nutrients decide the primary and secondary metabolites. Soil pH has a significant impact on both soil nutrient availability, plant uptake, and growth. Soil pH also decide the distribution of plant species in around the world. Still, the significance of soil pH on phytochemical concentration has not been reported. The goals of this study were to find out how soil pH affects phytochemical content and their antioxidant activity. The model's accuracy in predicting phytochemical effects in various soil pH (3.8, 4.7, 5.7, 6.5, 7.6, and 8.3) was tested in a pot experiment. The soil's pH was adjusted using Ca(OH)2 and HNO3 (pH 3.8-8.3) and soil nutrients were maintained by KCl (8.3), MgSO4 (2.5), Ca(HPO4) (5) (mg kg-1 soil. Monocot species viz Oryza sativa, and Zea mays, and dicot species viz Cicer arietinum, Macrotyloma uniflorum were selected for study. Whole plants were collected between 5th to 8th day and analysed for growth and phytochemicals like phenols, tannins, flavonoids, saponins, and alkaloids. The result showed acidic soil pH (5.7) and a slightly acidic pH (6.5) is suitable for O. sativa and Z. mays, C. arietinum growth respectively. Whereas slightly alkaline soil pH (7.6) is best for M. uniflorum growth. Phytochemical scarcity in plants was observed despite the presence of all nutrients in the soil. The quantity and quality of phytochemicals are affected by soil pH. DPPH, ABTS, and anti-lipid peroxidation activity also directly proportional to plant growth and soil pH. This suggests that soil pH has a direct impact on nutrient uptake and phytochemical constituents of plants
Optimization and biodegradation of chromium present in leather industrial effluents using indigenous microorganisms isolated from leather industrial sludge
Get PDFMicroorganisms Paracoccus pantotrophus (OP288256) and Bacillus velezensis (OP289289) are used as individual cultures and Co cultures in the biodegradation of Chromium, under different optimized conditions. Isolated microorganisms from Leather industrial sludge are used for the biodegradation of Chromium. The Amount of Chromium degradation individually by Paracoccus pantotrophus, Bacillus velezensis and Co cultures of P. pantotrophus+B.velezensis was observed at pH 7. There was a maximum degradation of chromium by P.pantotrophus, B.velezensis and P. pantotrophus+B.velezensis seen at temperature of 35°C. Chromium degradation by Paracoccus pantotrophus was higher in the media supplemented with Fructose as the carbon source, whereas Bacillus velezensis showed maximum chromium degradation in media that contained Glucose as the carbon source. Thus, Co cultures showed a significant amount of chromium degradation in media that used Glucose and Fructose as carbon source. A significant amount of chromium was degraded by P.pantotrophus in the media containing Yeast Extract as the nitrogen source, whereas degradation by Bacillus velezensis was higher in the media with Peptone and P.pantotrophus+B. velezensis showed a maximum degradation in the media with Glucose and Peptone as the Nitrogen source. More the concentration of the Inoculum added to the media, the amount of chromium degradation gradually increased by individual culture and Co cultures . Significant increase in the chromium degradation observed for the incubation from Day 7 to Day 28, by individual organism and combined cultures. Bioremediation using Co cultured bacteria is an economical and environmentally better alternative to conventional remediation methods
Automatic Valve Operation for Bunkering
Get PDFBunkering means refueling of the ships including the fuel filling and distributing the fuel which is being supplied to the shipboard tank. Bunkering is the most difficult procedure of operation on a ship which may lead to several accident and lead to spill of HFO into the sea. Bunkering on a ship can be of fuel oil, sludge, diesel oil, cargo etc. Bunkering of. fuel oil or diesel oil requires most care and alternate to prevent the different kind and type of accidents and oil spill. Current scenario of bunkering system is done manually. This process takes more man power and requires continuous sounding of the tank at particular time interval. So, it is necessary to find out an alternate solution which gives continuous sounding of the bunker tank automatically all the time. The proposed project aims to overcome above problems. A model is fabricated with two tanks, a submersible pump, solenoid valve, microcontroller which controls the operation of valve for bunkering operation and sensors to sense the level of the tanks such that the valves open and close at preset time. The prototype was tested based on time taken in filling a tank and the response of the sensor with respect to time was identified. It is found that the time taken for bunkering is reduced
Dementia Detection Using LSTM and GRU
Get PDFNeuro-degenerative infections, like dementia, can affect discourse, language, and the ability of correspondence.A new report to work on the precision of dementia identification examined the utilization of conversation analysis(CA) of meetings between patients and nervous system specialists to recognize reformist neuro-degenerative(ND) memory issues patients and those with (non-reformist) FMD (Functional Memory Disorder). In any case,manual CA is expensive for routine clinical use and hard proportional. In this work, we present an early dementiadiscovery framework utilizing discourse acknowledgment and examination dependent on NLP method andacoustic component handling strategy apply on various element extraction and learning using LSTM (LongShort-Term Memory) and GRU which strikingly catches the transient provisions and long haul conditions fromauthentic information to demonstrate the abilities of grouping models over a feed-forward neural organization inestimating discourse investigation related issues. Dementia dataset is taken where the audio file is considered forspeech recognition analysis on basis of that data is generated and it is predefined given in dementia data databank.That audio file is converted to text based on speech analysis. Using LSTM and GRU gives efficient results
Adsorption process of reactive red 2 using a low-cost activated charcoal: isotherm, kinetics and thermodynamics studies
Get PDFActivated charcoal with an appropriate functional group was synthesized by carbonizing method, from the stem of Albizia Lebbeck. The average 75-125 µm mesh was utilized to separate particles. The charcoal parameters of bulk density, surface area, moisture content, pH, and pHzpc have been measured, which are concurrent with literature-reported values. Chemical functionality was studied by FT-IR spectroscopy and particle size was confirmed by scanning electron microscopy. The dye, Reactive Red 2(Red2), adsorbs on the surface of activated charcoal through microscopic holes. General parameter variations, namely exposure time, adsorbent dosage, initial dye concentration, temperature, and pH of the dye solution, were used to find out the best condition for dye removal. Compare to the reported adsorbents that require acidic conditions (pH<5), the prepared charcoal has been capable of absorbing Reactive Red 2 at an ambient pH of 5.5. The equilibrium adsorption data were found to match with the Langmuir and Freundlich isotherms, and thermodynamic tests indicated the endothermic adsorption process. Furthermore, it has been proven by Lagergren and models, that the monolayer coverage and first-order kinetics of adsorption indicate the scalability of the adsorptive process for large-scale dye removal from waste-water streams
Green facile synthesis of Ag-doped ZnO nanoparticles from Gymnema sylvestre leaf extract and investigation of their Antibacterial activity
Get PDFThe unique characteristics of the green synthesis pathway have opened the way for a new field of scientific investigation. The current study used green chemistry methodologies to produce pure zinc oxide (ZnO) (G1) and silver doped zinc oxide (Ag doped ZnO) (G2) nanoparticles (NPs) using Gymnema sylvestre (G. sylvestre) leaf extract as a reducing as well as capping agent. XRD, FESEM, EDAX, and FT-IR investigations were used to investigate the structural characterization of G1 and G2 NPs. The UV–Vis and PL analyses were used to examine the optical characteristics. The results clearly reveal that the leaf extract is the best possible stabilizing agent for the manufacture of G1 and G2 NPs, and that the generated nanoparticles operate as potent microbial agents, inhibiting the growth of a variety of dangerous microbes. Due to their eco–friendly and non–toxic compatibility, the prepared G1 and G2 NPs can be employed for therapeutic and other purposes