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Keeping the sustainability concept in view, a green, biocompatible, eco-friendly, and advantageous nano-composite was fabricated by impregnation of chitosan derived from waste shrimp shells onto Magnesium oxide nanoparticle (MgO) for exploiting in acenaphthene (ACN) removal from wastewater resources. The tested nanocomposite showed a high potential for ACN adsorption at pH 5.5. The thermodynamic evaluations laid the spontaneity nature of the process (∆G ≤-25.93 kjmol−1) bearing a ∆H value of 12.701 kjmol−1 which shows a favorable physisorption phenomenon. Kinetic evaluations demonstrated that the studied adsorption system conforms to pseudo-first order model to a greater extent. Other kinetic evaluations (Dumwald–Wagne/ Boyd model) revealed the important role of film diffusion in such an adsorption system, especially in the initial stages of the process. The equilibrium scrutinization under isothermal conditions displayed that the process has proceeded via mono-layer adsorption with a qmax value of 116.88 mg/g (at 298 K), for which Langmuir model showed a high goodness-of-fit. Overall, the new green adsorbent was highly advantageous in removal of ACN, and hence it is worth to be checked for the possibility of removing similar contaminants from polluted agricultural wastewater resources.

Calotropis gigantea, commonly known as Indian milkweed, is a prevalent plant in Asia. It typically thrives in open and unused areas, often considered a weed. This plant produces flowers and fruits consistently throughout the year, exhibiting a continuous flowering and fruiting cycle. This research investigated the viability of Calotropis gigantea seed oil as a potential source intended for biodiesel manufacturing. The oil was obtained from Calotropis gigantea seeds using hexane extraction in the Soxhlet apparatus. The seeds were determined to contain 33.3 wt% of oil content. The process of biodiesel production involved conducting a transesterification reaction. Further, the produced biodiesel was blended with pure diesel and three different nanoparticles, Titanium dioxide (TiO2), Chromium oxide (Cr2O3), and Silicon dioxide (SiO2), to evaluate combustion performance, and emission characteristics of a single-cylinder diesel engine under various load conditions. Incorporating Cr2O3 nanoparticles into the CGSB20 biodiesel blend yielded significant improvements in BTE, coupled with BSFC reduction. Specifically, in the CGSB20 + Cr2O3 fuel mixture, BTE increased notably by 31.2 %, reaching a value of 0.33 g/kWh for BSFC. Similarly, for the CGSB20 + SiO2 and CGSB20 + TiO2 blends, BTE experienced enhancements of 29.2 % and 28.1 %, respectively, while BSFC values were lowered to 0.37 and 0.4 g/kWh. Furthermore, the unchanging dispersal of nanoparticles within the CGSB20 blend exhibited extraordinary cylinder pressure and HRR values, reaching 77 bar and 34.2 J/CA, respectively. The CGSB20+ Cr2O3 blend yielded favorable emissions outcomes. Specifically, CO, NOx, UHC, and smoke emissions were approximately 4.5 g/kWh, 725 ppm, 0.11 g/kWh, and 23.6 %, respectively.

By applying heat to the feedstock during the thermal treatment of biomass for the production of biogas, the organic material's biodegradability can be greatly increased. Biogas production is a huge research area for alternate energy production technology. Increased biodegradability, improved methane yield, pathogen, and weed seed destruction, and overall process efficiency are all benefits of this type of pretreatment. It is a useful pretreatment technique for maximizing the production of biogas because it can decrease inhibitory compounds, and increase the digestibility of biomass. This work focused on increasing the efficiency of biogas production from lignocellulosic biomass of pigeon pea stalks by a novel thermal pretreatment. The pigeon pea stalk is initially imposed to physical pretreatment (PT) by an automatic hammer mill which is considered as a base for comparing performance. Thermal pretreatment was carried out for one hour, and two hours durations at different temperatures like 100 °C, 125 °C, 150 °C, 175 °C, and 200 °C. Compared to physically pretreated pigeon pea stalks, 200ᴼC thermal pretreated pigeon pea stalks for two hours have produced 88.41 % higher biogas, 16.14 % increase of cellulose, 19.9 % higher volatile solid removal, and 3.94 % lesser lignin. The enhanced chemical characteristics were ensured by analyzing the chemical composition variations through the FTIR, XRD, and SEM images. So, this is recommended for enhanced biogas production.

Shape memory and super elasticity are two outstanding properties of Cu–Al–Mn SMAs together with additional copper-based shape memory alloys that make them superior to NiTi alloys. It's quite hard to machine Cu–Al–Mn SMA. The machinability properties of Cu–Al–Mn SMAs during Wire Electrical Discharge Machining (WEDM) were experimentally investigated using molybdenum wire as the electrode material. Material Removal Rate (MRR) and Surface Roughness (SR) are two machining qualities that are studied in relation to the combinational values of pulse time (Ton), pause time (Toff), and peak current (Ip), which are selected as the changeable input process factors. From the experimental investigation, it was found that both MRR and Ra values were increased with an increase in pulse on time(Ton), pulse off time(Toff), and peak current (IP)values. Because the wire electrode contains maximum current under these conditions, it is easy to remove more material at the tool and work material interface, resulting in moderate surface finish. Surface quality was higher on samples machined at low energy input than it was on samples machined at high energy input. This SEM micrograph clearly shows that a lower pulse on time produces a superior surface quality.SEM images and the analysis of the machined surface morphology on the surface of the CAM7 alloy clearly showed that the machined surface of the alloy had a lower surface roughness value at a lower Ip-2A and was associated with a higher surface roughness value at a higher Ip-6A, as well as a lot of uncleared debris and blow holes.

The development of sustainability in industry has made it imperative to utilize waste and accessible natural resources properly. Our goal is to transform the naturally occurring resources, tamarind seed powder (TSP), eelgrass (EG), and adamant creeper (AC), into goods that are beneficial to society. In this study, different weight proportions of alkali-treated AC, EG, and TSP were combined to make hybrid natural fiber (NF) composite materials using the hand layup process. The material strength of the alkali treated (15% AC, 20% EG, and 15% TSP) composite sample was attained 211 MPa, 278 MPa, 21.7 J/m2, and 84.6 for tensile, flexural, impact, and hardness in that sequence. The storage modulus, loss modulus, and mechanical loss factor were measured and plotted against temperature in a dynamic mechanical analysis (DMA) experiment. All composites had higher storage and loss moduli and a lower mechanical loss factor, indicating more elastic properties. The findings demonstrated that adding fiber-filled TSP fillers tended to make the epoxy matrix more viscoelastic stiffness. As the weight percentage of fibers in the composite increases, discernible changes in the structural damping capacity have also been noticed. The thermal characteristics of composites were inspected by thermogravimetric analysis (TGA), and the TGA outcomes substantiated that the thermal constancy of a 20% EG-reinforced composite was good. The mechanical, dynamic, and thermal qualities of this composite material will yield significant benefits for the industrial sector.

The study utilized Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) to identify the optimal combination of three key factors for producing polymer composites: nanoparticle percentage, silane concentration, and silane dipping duration. RSM and Analysis of Variance (ANOVA) were applied to explore the relationships between these variables and their effects on composite properties. Additionally, the ANN was used to analyze multiple factors, revealing a strong correlation between predicted and observed results. The findings highlighted that silane treatment was the most influential factor in enhancing the composite's flexural strength. Fiber-related properties, particularly the duration of silane dipping, significantly impacted both flexural strength and hardness. Nanoparticles further strengthened the fiber matrix by encouraging effective agglomeration. The ANN demonstrated 95% accuracy in predicting flexural strength and hardness, and its predictions were validated by comparing them with experimental data and the regression model's outcomes. Silane concentration also notably influenced flexural properties. The RSM analysis identified the optimal combination for maximizing flexural strength and hardness: 5% nanoparticles, 10% silane concentration, and a 20-minute silane dipping time.

This piece of research investigates the performance of biodiesel in terms of combustion, consumption, and emission produced from tamarind seeds through the transesterification process. The tamarind seeds are a sustainable source. To enhance engine performance, the three different oxide nanoparticles of Alumina oxide (Al2O3), silicon oxide (SiO2), and magnesium oxide (MgO) were blended as additives with the base fuel. The experiments were done over four blends, namely Diesel (D), tamarind seed oil 20 % diesel 80 % (D80TSOB20), TSO20 with Al2O3 nanoparticles (D80TSOB20A), TSO20 with SiO2 nanoparticles (D80TSOB20S), and TSO25 with MgO nanoparticles (D80TSOB20M). The nanoparticles were blended with fuel by ultrasonication process. and the stability was ensured through measure of Zeta-potential values of nano-fuels (Nanofluid). The fitness of fuel was ensured through characterization of them (including standard fuel of pure diesel). The different fuel blends were tested in a single-cylinder, direct-injection, 4-stroke diesel engine at a constant speed of 1600 rpm with different load conditions like 0 %, 25 %, 50 %, 75 %, and 100 %. The combustion performance, fuel consumption, and emission levels of the different fuel blends were derived from the experimental observations. Experimental results show that a higher HRR and cylinder pressure were reported as 75 J/deg and 77 bar for the D80TSOB20A nanofuel than other fuels tested. Similarly, a higher BTE of 32 % was recorded at full load conditions for the same D80TSOB20A nano-fuel blend, which is a better BTE value than Diesel. Increases the BTE value (all fuels) due to higher fuel rates at higher loads for obtaining higher power. Furthermore, the engine's CO, UHC, NOX, and smoke capacity using tamarind seed oil biodiesel with Al2O3 nanoparticles gives a lesser value than other fuel blends.

This work intended to improve the precision and machining efficiency of Magnesium alloy (Mg–Li–Sr) using Wire electrical discharge machining (WEDM). Mg–Li–Sr alloy is prepared through inert gas assisted stir casting route. Taguchi approach is used for experimental design for WEDM parameter such as pulse OFF time, pulse ON time, wire feed rate, servo voltage and current. L27 orthogonal array is considered to understand the influence of control parameter such as Kerf Width (KW), Roughness of the surface (Ra), Material Removal Rate (MRR). Integration of the CRITIC (Criteria Importance Through Intercriteria Correlation) -WASPAS (Weighted Aggregated Sum Product Assessment) multi-objective optimization method with Artificial Neural Network (ANN) modelling with different network structure for prediction and optimization is a novel approach that significantly improves prediction accuracy and machining outcomes. The developed ANN model with better R2 value of 99.9 % has better ability for prediction while correlated with formulated conventional regression equation. The error percentages identified through confirmation tests for regression and ANN models are Ra - 8.5 % and 3.4 %, MRR - 5.9 % and 2.8 %, KW - 6.7 % and 2.2 % respectively. Optimal output response attained by CRITIC-WASPAS approach yields surface roughness of 4.62 μm, material removal rate of 0.073 g/min and kerf width of 0.388 μm.

Sustainable energy harvesting plays a crucial role in advancing the goals outlined in the United Nations Sustainable Development Goals (SDGs). Solar flat plate collectors (FPC) are integral to sustainable energy harvesting, aligning closely with several Sustainable Development Goals (SDGs) particularly goals 7, 8, 9, 13 and 17. The heat transfer fluid is one of the most important inputs in the solar flat plate collector system. The improvement in the properties of heat transfer fluid significantly improves the collector efficiency. Though Nanofluid is one of the solutions, this investigation is motivated by the use of Al2O3 and SiO2 along Syltherm 800 in the form of nanofluids and hybrid nanofluid to improve the efficiency of FPC. The Syltherm 800 fluid (BF), Syltherm 800/Al2O3 nanofluid (ANF), Syltherm 800/SiO2 nanofluid (SNF), and Syltherm 800/Al2O3/SiO2 hybrid nanofluid (HNF) were tested and analysed to improve FPC performance. The results exemplified that using HNF improved the outlet temperature to the high of 126.9 °C, the average heat absorption of 4734.5 W, and the heat transfer coefficient (HTCO) of 166.3 W/m2K. The maximum average thermal efficiency and exergy efficiency of about 76.3%, and 49.8% respectively. Based on the experimental outcomes of the Syltherm 800/Al2O3/SiO2 hybrid nanofluid is recommended to improve the FPC thermal performances.

Sustainable Energy device's efficiency enhancement by utilizing the waste of tobacco is focused on this research. The carbon nanoparticles derived from the waste of tobacco through a novel approach. The produced Carbon nanoparticles were used to improve the efficiency of sustainable solar collectors in the form of nanofluid. When it comes to improving thermal performance, using nanofluids in evacuated tube collectors (ETSC) is the best option because of the improved thermo-physical characteristics of the working fluid. In this investigation, Syltherm oil was preferred for base fluid to prepare nanofluids with the concentrations of Carbon nanoparticles 0.05 vol%, 0.1 vol%, and 0.2 vol%. Additionally, a spiral coil heat exchanger was introduced to facilitate heat transfer between the nanofluid and water for heating applications. Results indicate that Syltherm/0.2 % carbon nanofluid exhibits higher thermal performance compared to neat Syltherm oil and other nanofluids. Notably, Syltherm/0.2 % carbon nanofluid demonstrated an average peak heat acquisition of 769.1 W and the lowest heat loss of 156.7 W. Furthermore, the thermal and exergy efficiencies are measured at 68.2 % and 42.5 %, respectively. These findings suggested that higher concentrations of carbon nanoparticles lead to increased heat transfer rate and improved efficiency compared to low-concentrated Nanofluids in the ETSC system.

Glycerol is a key by product of the biodiesel extraction process. The rapid growth of biodiesel establishments will continue to result in glycerol oversupply. Purified glycerol can be used as an antifreeze in automotive radiators since it has a freezing point of −30 °C and a boiling temperature of 160 °C. Heat transfer by automotive radiators is important in optimizing engine fuel economy. The goal of this research is to employ purified bio glycerol as a heat transfer fluid and a coolant in vehicle radiators. The proposed water mixed bio glycerol convective heat transfer rate is experimentally compared to standard ethylene glycol. The rate of heat transfer by bio glycerol is determined by passing the fluid through an automobile radiator test apparatus. For this objective, an Automobile Radiator test rig is devised and built. Experiments with distilled water blended bio-glycerol in volume ratios of 50:50, 70:30, and 60:40 were carried out, and the test findings revealed that the 70:30 water bio glycerol volume ratio created a higher heat transfer rate when compared to the water ethylene glycol mixture.

Aluminium alloy is one of the widely used lightweight materials and is utilized in the production of a wide variety of components. The AA8026 properties enhancements through optimizing the synthesizing parameters through the Taguchi route is the aim of this investigation. Thereby establishing control over the stir casting process to alter the wear and microhardness of AA8026 aluminium alloy by hybrid reinforcement. There were 16 samples of AA8026 + Zr2O3/TiO2 composite prepared as per Taguchi L16 orthogonal array. The process parameters varied four levels such as stirring time from 15 min to 30 min, quantity of reinforcement from 3 wt% to 12 wt%, molten temperature from 750 °C to 900 °C, and stirring speed from 450 rpm to 600 rpm. The fabricated samples are investigated for microhardness and wear properties. From the analysis, it is inferred that stirring speed is highly influenced by wear and microhardness properties. The results exemplify that 0.086 mm3/m was minimum wear and 180.2 HV was maximum microhardness achieved.

Due to their excellent mechanical features, concrete-filled steel tube (CFST) columns are usually employed in high-rise constructions; it is also significant to consider fire safety while designing buildings. The fire-resistance performance of fibre-reinforced CFST columns is superior to that of unreinforced CFST columns under identical conditions. The post-peak behavior of CFST columns can be enhanced by incorporating fibres to reduce the brittleness of concrete. The research on this topic is limited and considerable research gaps are available in the literature. This research examines the structural performance of steel fibre-reinforced concrete (SFRC) filled steel tubes exposed to ambient and elevated temperatures. For this purpose, fourteen CFST columns were investigated and separated into two groups. The first group of CFST columns was filled with three diverse grades of conventional concrete with and without fibres, which was subjected to ambient temperature. The second group is identical to the first group except all columns are exposed to a temperature of 1050 ℃. The parameters examined were the mechanical properties of concrete, load-carrying capacity, load-deflection response, axial load, and axial strain and ductility ratio. Furthermore, using different codes, a comparison was made for the column's empirically determined load-carrying capacity with the theoretical value. Besides, the morphological characteristics of concrete were examined using energy dispersive spectroscopy (EDS), scanning electron microscope (SEM), Fourier-transform infrared spectroscopy (FTIR) and X-ray powder diffraction (XRD). The findings show that the SFRC-filled column has superior structural qualities when subjected to elevated temperatures. At high temperatures, calcium hydroxide decomposes, and the steel tube yields, causing the column to fail by premature local bucking.

The present study employs the S/N ratio and multiple regression analysis to evaluate the mechanical properties of laterized concrete with fly ash and steel fiber. The study considers compressive, split tensile, and flexural strengths as responses at 7 and 28 days. The Taguchi L16 (4 *4) orthogonal array experimental design is applied to optimize the performance of mechanical properties of concrete by using the design of experiments. The replacement of 25% of the granite aggregate with laterite aggregate resulted in a 12.44% increase in the strength of M30-grade concrete after 28 days. The composite's compressive strength decreases when the replacement level exceeds 25%. The split tensile and flexural strengths of the composite showed an increase of 14.54% and 16.93%, respectively, compared to the control mix. Furthermore, the test outcomes for durability factors like drying shrinkage and rapid chloride penetration in steel fiber reinforced fly ash-based lateritic concrete mixes with a 50% replacement rate adhere to the prescribed standards, verifying their designed performance over the designated structural lifespan. However, after multiple regression analysis, it is found that the error related to the correlation between experimental and analytical value strength is about 5%. Microstructural studies of the ideal mix were performed at 28 days to further understand the morphology of the laterized concrete containing fly ash and steel fiber.

While urbanisation has numerous advantages, it causes greater risks to the environment and human health because of the release of heavy metals, various organic and inorganic contaminants, personal care products, and pharmaceuticals. Though several actions are being taken daily to lessen the release of harmful substances, there is still an immediate need to find a suitable solution to protect the environment. Nanotechnology has multifaceted applications, and there is extensive evidence of the emerging applications of nanoremediation, especially for soil and water pollution. Iron nanoparticles showed outstanding removal efficiency towards hexavalent chromium (100 %). Likewise, several publications on soil and water remediation employ nanomaterials based on metals, carbon, and polymers. However, most of the previously conducted works present the key nanoremediation results without depicting each nanomaterial's advantages and disadvantages. Hence, this work critically reviews the pros and cons of each nanomaterial with a special focus towards novel approaches using green synthesised nanomaterials that are completely eco-friendly and hence preferred for the removal of various contaminants without producing harmful effects. However, some bottlenecks exist in fully implementing the green nanoparticles for Nanoremediation. Thus, the review discusses the limitations of green nanomaterials that need to be addressed soon to maintain environmental sustainability. Finally, this review presents opportunities for future work in assessing the eco-safety of each nanomaterial that boosts the further utilisation of nanotechnology in the sustainable remediation of contaminated soil and water.

The current research investigates diesel and simarouba biodiesel blends (10%, 20%, & 30% by volume) in conventional and Low Heat Rejection (LHR) diesel engines, each rated at 4.4 kW. While optimization techniques like Response Surface Method and Taguchi have been extensively studied, the impact of LHR and optimization on LHR engine performance and emissions is rarely explored. Converting the conventional engine to LHR involved applying 300 μm of stabilized zirconia to the piston crown to enhance combustion efficiency. Performance and emissions were analyzed at rated injection pressure (200 bar) and timing (23° before top dead center - btdc). Experiments were continued on LHR engine by varying injection timings (advancing - 26°btdc and retarding - 20°btdc). Advanced injection timing showed significant improvement in performance of Low heat rejection engine. MINITAB statistical tool is used to optimize engine performance using Response Surface Method. The 20% blend showed improved performance in both engines. The optimum values for Low heat rejection engine responses are 26.8%, 0.32 kg/kW-h, 0.018%, 59.59 ppm, and 1419.03 ppm for brake thermal efficiency, brake specific fuel consumption, carbon monoxide, and unburnt hydrocarbons, respectively. Confirmation experiments aligned well with model predictions, indicating the potential of LHR engines to enhance thermal efficiency and reduce emissions.

The extensive study conducted has revealed that the mechanical and other characteristics of hybrid composites are greatly influenced by several aspects, such as the kind of fibre reinforcement, nanofillers, matrix materials, and the manufacturing methods employed. In the context of structural applications, the incorporation of Multi-wall Carbon Nanotubes (MWCNTs) as fillers in E-Glass fibres had a significant impact on the rapid alteration of mechanical properties, particularly strength, in the composites. This study aimed to create hybrid nanocomposites by including multi-walled carbon nanotubes (MWCNTs) and silicon dioxide (SiO2) as filler materials, Basalt/E-glass as fibres, and epoxy with hardener as the matrix. This study utilises statistical methods, specifically the Taguchi L16 Orthogonal Array (OA), to analyse the impact of various operating factors. The parameters selected for this study include MWCNTs/SiO2 fillers at varying weight percentages (0 %, 1 %, 2.9 %, and 3 %), an epoxy matrix with decreasing weight percentages (40 %, 39 %, 38 %, and 37 %), compression pressures ranging from 5 MPa to 35 MPa, and moulding temperatures ranging from 40 °C to 100 °C. The mechanical parameters being examined are the tensile strength and erosive wear. The utilisation of the hand layup and compression moulding technique achieved the development of these composites. By optimising the moulding temperature, significant improvements were achieved in the tensile strength, which reached 184.38 MPa. Similarly, reducing the percentage of fillers resulted in a substantial decrease in erosive wear, with a value of 95.06 mg/kg.

Cathode Ray Tube (CRT) panel glass with higher silica content has a potential to be used as reinforcement material in magnesium matrix composites. The present study aims to formulate a wear resistant magnesium hybrid composite by reinforcing silica rich E-waste CRT panel glass powder (0, 10 and 20 wt. %) and boron nitride (0, 2 and 4 wt. %) solid lubricant processed through powder metallurgy route. Composition of the CRT panel glass powder is identified through EDS and XRD analysis is performed for both base material and reinforcements. The developed green MMC shows increased hardness (∼53 %), porosity (∼7 %) and density (∼7 %) with respect to addition of CRT reinforcement. Porosity of hybrid composite increased vastly to 9.2 % when the CRT and BN content are increased to 20 % and 4 % respectively. A slight increment in (10 %) hardness is observed for 2 % addition of BN with Mg and Mg/CRT composite whereas hardness of the Mg and Mg/CRT MMC decreases with further addition of BN. The wear resistance of the composite enhanced with raise in CRT and BN content whereas the co efficient of friction decreases with increases in BN percentage. Corrosion behaviour of Mg is also analysed and found enhanced with reinforcement addition. It is identified from the results that the addition of CRT% up to 10 % yields significant results whereas further increase in CRT % to 20 provides only minor enhancements in properties. Further, it is suggested to restrict the addition of BN to 2 %.

Aluminium alloys are indispensable in all manufacturing industries, particularly mechanical engineering. The objective of this study is to enhance the mechanical, wear, and corrosion properties of aluminium alloy AA5083 by incorporating nanoparticles as reinforcements, thereby creating hybrid aluminium nanocomposites. The base material utilised in this study was AA5083, with the reinforcement nanoparticles selected as Carbon nanotubes (CNTs) and Molybdenum disulfide (MoS2) at concentrations of 5 % and 3 % respectively. Nanocomposites were fabricated using the Powder Metallurgy (PM) technique, employing specific contrasting parameters including Ball mill speed (280, 320, 360, and 400 rpm), Mixing time (20, 30, 40, and 50 min), Compaction pressure (300, 350, 400, and 450 MPa), and Sintering time (2, 3, 4, and 5 h). The operating parameters of powder metallurgy were assessed using the Design of Experiments (DOE) L16 Orthogonal Array, and their corresponding outcomes were analyzed. The results revealed that there is a significant correlation between the mixing time and microhardness of the nanocomposites. The wear and corrosion reduction rates had a significant impact on the sintering time parameter. The present study determined that the highest recorded microhardness value was 136 VHN, while the lowest observed rates of wear and corrosion were 0.192 mm3/m and 0.00081 mm/year, respectively. Scanning electron microscopy (SEM) images clearly depicted the presence of various structural defects, such as pits, cracks, delamination, voids, and cusps, in the wear and corrosion samples that exhibited reduced strength.

The development of high wear/erosion resistance materials for defense application is found to be a challenging task among the researchers. The current study investigated the reinforcement effect of TiC and Rice husk ash (RHA) on Al6061 hybrid composites made using a two-step ultrasonic-assisted stir casting process. Four distinct Al6061 hybrid composites were created with varying TiC weight percentages (3, 6, 9, and 12 wt.%). RHA weight percentage was kept constant at 3%. The solid particle erosion test was carried out on each composite using a Taguchi L27 (33) orthogonal array. Experiments were conducted by varying the erodent particle impact angle, erodent velocity, and erodent discharge rate. The effect of each parameter on the erosion rate of the TiC/RHA Al6061 composite was discussed. The composite containing 12% TiC and 3% RHA showed improved erosion resistance. It was found that on increasing the TiC addition in the composite resulted in an increase in erosion resistance. SEM images were used to examine the surface failure on the composites caused by erodent impact.

A sustainable method to reduce the use of natural resources and the negative effects of the concrete industry on the environment is to use waste lateritic aggregate in self-compacting concrete and evaluate its fresh, mechanical and durability characteristics. Using RSM's central composite design (CCD), Thirteen different SCC mixtures have been designed with varying input factor combinations (LA: 0–100%, PPF: 0–2%) and tested for eight responses (rheological properties, like slump flow, V-funnel time, and T500; mechanical properties, like compressive, split-tensile, and flexural strengths, and durability properties like drying shrinkage and rapid chloride penetration test). The analysis of variance (ANOVA) test was performed to determine the accuracy of the mathematical models developed following the experimental results. ANOVA was used to verify eight response models (seven quadratic and one linear). The inclusion of laterite aggregate has been found to linearly reduce the workability of fresh concrete. Self-compacting concrete will have a lower V-funnel value if any combination of components falls below these two limit values (31% LA and 1.12% PPF). The area bounded by the 760-mm contour line and the graph axes recorded the highest slump flow at (28% LA and 1.26% PPF). Similarly, SCC with a lower T500 value will be produced by any combination of components below these two limit values (25% LA and 1.11% PPF). By replacing 28.5% of the granite aggregate with laterite aggregate and adding 1.24% polypropylene fiber, the compressive strength of M30 grade self-compacting concrete increased by 12.33% after 28 days. A similar strength gain of 7.89% was seen in the splitting tensile by replacing 28% of the granite aggregate with laterite aggregate and adding 1.46% polypropylene fiber over the control mix, and a flexural strength gain of 14.46% was seen by replacing 31.4% of laterite aggregate and adding 1.2% polypropylene fiber, respectively. The low drying shrinkage values are related to a combination of LA concentration (34.4% replacement) and PPF (1.31%) and minimum chloride ingress is located in the region with a LA concentration (30.5% replacement) and a PPF content (1.26%), The projected optimal data were verified experimentally with an error rate of less than 5%. Thus, it is highly recommended that the created model be adequate and capable of optimizing both the experimental and analytical values. It is recommended that the utilization of 25% LA and 1% PPF in lateritic self-compacting concrete provides optimum outcomes for the construction industry in the field of civil engineering.

This article explores the use of phase change materials (PCMs) derived from waste, in energy storage systems. It emphasizes the potential of these PCMs in addressing concerns related to fossil fuel usage and environmental impact. This article also highlights the aspects of these PCMs including reduced reliance on renewable resources minimized greenhouse gas emissions and waste reduction. The study also discusses approaches such as integrating nanotechnology to enhance thermal conductivity and utilizing machine learning and deep learning techniques for predicting dynamic behavior. The article provides an overall view of research on biodegradable waste-based PCMs and how they can play a promising role in achieving energy-efficient and sustainable thermal storage systems. However, specific conclusions drawn from the presented results are not explicitly outlined, leaving room, for investigation and exploration in this evolving field. Artificial neural network (ANN) predictive models for thermal energy storage devices perform differently. With a 4% adjusted mean absolute error, the Gaussian radial basis function kernel Support Vector Regression (SVR) model captured heat-related charging and discharging issues. The ANN model predicted finned tube heat and heat flux better than the numerical model. SVM models outperformed ANN and ANFIS in some datasets. Material property predictions favored gradient boosting, but Linear Regression and SVR models performed better, emphasizing application- and dataset-specific model selection. These predictive models provide insights into the complex thermal performance of building structures, aiding in the design and operation of energy-efficient systems. Biodegradable waste-based PCMs' sustainability includes carbon footprint, waste reduction, biodegradability, and circular economy alignment. Nanotechnology, machine learning, and deep learning improve thermal conductivity and prediction. Circular economy principles include waste reduction and carbon footprint reduction. Specific results-based conclusions are not stated. Presenting a comprehensive overview of current research highlights biodegradable waste-based PCMs' potential for energy-efficient and sustainable thermal storage systems.

The present work aims to capture the influence of the inclination of the return bend on flow patterns and pressure drop during oil-water flow. The experiments were carried out for different inclinations (0°, 15°, 30°, and 45°) of return bend for various superficial velocity combinations of oil (kerosene) and water ranging from 0.07 to 0.66 m/s. The experiments showed that pressure drop increases with the increase in inclination. However, the pressure drop at a fixed inclination (say 15°) decreases with the increase in the superficial velocity of the water. Distinct flow patterns observed in the return bend were droplet flow, film inversion, slug flow, plug flow and large slug flow. Droplet flow dominates at the lower range of kerosene (i.e., Usk = 0.07–0.2 m/s) and higher range of water superficial velocity (i.e., Usw = 0.40–0.66 m/s) at all the inclinations considered in this study. Additionally, comparisons between the experimental and numerical simulation results were made. The numerical solution utilized the Euler-Euler approach, considering the different phases as interpenetrating continua. The Volume of Fluid (VOF) model was used within this approach, monitoring the volume fraction of each phase over the domain while calculating one set of momentum equations for each phase. To capture the turbulent effects accurately, the k-ε turbulence model was incorporated. It happened to be found that the numerical findings showed remarkable agreement with the experimental data.

Net Zero Energy/Emission Buildings is one of the most popular study goals to make systems that are very good for society. In parabolic through collector (PTC) devices, the absorber is a key part of the solar collector that takes in the concentrated sun rays from the mirrors. PTC systems are used to make steam, which is used to heat homes, run restaurants, and do work in factories, among other things. In this work, the PTC absorber was used as a test subject. Phase Change Material (PCM) was used to store heat energy so that it could be used later to heat buildings. This study concentrates on developing a more efficient and effective PTC absorber configuration that can play a pivotal role in achieving Net Zero Energy/Emission Buildings by optimizing the use of solar energy for heating purposes while minimizing energy waste and environmental impact. Hence this investigation aims to maximize the energy efficiency and minimize the exergy efficiency by optimizing the number of Fins and their positions in the PCM-embedded PTC for building heating. In this regard, this investigation considered a different number of fins (2, 4, 8, and 12) and they were placed at angles of 180°, 90°, 45°, and 30° to recover the heat back from the PCM to heat transfer fluid in the absorber. With 8 fins on the absorber, the highest average exit temperature of the heat transfer fluid (HTF) is about 94°. The PTC system's highest average energy and exergy were found to be about 72.3 % and 7.05 %, respectively, at the absorber with 12 fins. The PCM moves heat into the air for building heating uses. This keeps the building warm during the winter. Because of this, the absorber with 12 fins works better than absorbers with less fins. This type of absorber, which is made up of 12 fins, does a good job of meeting the standards of Net Zero Energy/Emission Buildings for heating buildings. When the black material was put on the top of the absorber, it cut down on the amount of heat that was lost to the surroundings.

To determine the distance, presence, or absence of the object by using a transmitter or photoelectric receiver the photoelectric device is used. The potential of a photovoltaic (PV) panel to produce power is roughly dependent on the intensity of sunlight falling on it. This study planned and constructed a dual-axis solar programmable logical controller (PLC) based automatic tracking system, as well as its management and signal conditioning. The suggested automated monitoring system regulates the elevation and orientation angles of solar panels to keep them transverse to the sun at all times. The capacity of the pouring source to right path the position of the sunlight is detracting for the proper functioning of warm excited lasers, which is an essential resource of absorbing light part of every 24 h. The current pursuing electronics, in another way, has poor strength and pursuing accuracy. To view the same issue, a photoelectric tracking system accompanying qual pivot is ingrained. The proposed system is based on the idiosyncratic multi quadrant photoelectric detector is implemented and a tracking scheme with a solar orbital method is included. The cosmic at fixed intervals monitoring device’s control design, in pair with the fine bringing into the harmony of the multi-one of four equal parts photoelectric indicator, substantially increases the effectiveness of the projected model. The pump source’s accurate positioning and tracking capabilities to the solar azimuth enable the pump source’s system reliability.

Globally During the winter of the year, having a warm place to stay is a necessity, especially true in mountainous regions. Electric heating and biomass burning are the most common methods for this purpose. However, solar PV-based electric heating is a sustainable way to eliminate the cost of heating, which requires more panels and a large floor area. Alternatively, a solar thermal system is used for building heating during the winter season. But the effectiveness and duration of heating support depend on the system's features and the researchers' efforts to maximize them. This research aims to develop a zero-emission/energy-building heating system with a PCM. The influence of PCM choice is validated experimentally to maximize winter heating. Solar parabolic dish collectors (14 sq. m) with two distinct PCM embedded absorbers, such as KNO3–NaNO3 and KNO3–NaNO3–NaNO2, were considered for the investigation to optimize the PCM for the best performance with respect to building heating. The experimental results reveal that the KNO3–NaNO3 PCM outperformed by exhibiting a higher heat transfer rate than the PCM of KNO3–NaNO3–NaNO2. Hence the maximum output water temperature was recorded as 94 °C, and the quantity of heat transfer was 6273 W. The system's energy efficiency was 50.6%, and the exergy was 5.99% with the absorber, which embedded KNO3–NaNO3 PCM. It was found that the black coating decreased heat loss from the absorber's surface, and net heat transfer to the absorber was improved significantly.

The recycling of waste is act of charity as it takes part of maintain environmental clean as well as offer balance in supply to meet the same or alternate use. Thin Aluminium sheets made food packaging items are usually ‘use and through’ and AA 8079 obtained by recycled them after use by stir-casting process. This research aims to investigate the control over hardness and wear resistant by reinforcing alumina nanoparticles at different wt% in such recovered AA 8079 by Sliding wear test and Vickers micro hardness test to identify the degree of variation in mechanical and tribological aspect of reinforcement effects. The results of wear test reveal that the highly influencing functional parameter is normal pressure or load on the surface on the rate of wear than usage. The increase of quantity of reinforcement increases the wear rate in experimental results and the same confirmed with probability graph and the surface plots used to graphically analyses the relationship between combinations of parameters on wear rate. The increase of reinforcement increases, the microhardness also improved the same was depicted with microhardness graph. The effect of reinforcement in altering micro defects generation also investigated with SEM analysis and found that increase of reinforcement increases the micro defects. Contribution of wear functional factors and optimized parameter for minimum wear found by ANOVA and Taguchi analysis respectively. Hence the alteration of wear and microhardness properties can be done by nanoparticle reinforcement and the developed regression equation can be used for prediction of wear rate.

A study was conducted on eri silk/micro denier polyester/bamboo and eri silk/micro denier polyester/tencel plated interlock knitted fabrics with disperse and reactive dyes and also to test the color fastness properties of these selected eri silk plated knitted fabrics. All dyed samples were subjected to wash fastness, light fastness, perspiration, rubbing; dry cleaning, chlorine and non chlorine bleach and hot pressing tests. Results indicated very good and excellent wash fastness to color change and color staining. The values showed that eri silk/micro denier polyester/bamboo and eri silk/micro denier polyester/tencel plated knitted fabrics were better in case of samples dyed with required disperse and reactive dyes. It can be concluded that the eri silk/micro denier polyester/bamboo and eri silk/micro denier polyester/tencel plated interlock fabrics have excellent color fastness properties.

In the current research study, AA6351 (Al-Si-Mg) is employed as matrix material and silicon nitride (Si3N4) particles as reinforcement material to manufacture the aluminum composites (AMCs). AA6351 matrix composites incorporated with several weight fractions of Si3N4 (0, 1, 2 and 3 wt.%) were synthesized via stir casting technique. The obtained composites were characterized through a scanning electron microscope (SEM), X-ray diffraction (XRD) and energy dispersive X-ray analysis (EDS). EDS and XRD spectrums demonstrate the presence of Si3N4 reinforcement contents in the manufactured AMCs. The SEM analysis exhibits the even dissemination of Si3N4 particles in the Al alloy. The mechanical properties of the composites are examined by conducting several kinds of tests like compression test, impact test, tensile test and hardness test to understand the relationship between the weight percentages of reinforcement on the mechanical characteristics of the manufactured AMCs. The un-lubricant tribological characteristics of the proposed AMCs were assessed utilizing pin on disk tribometer. The hardness, compression and tensile strength of the AMCs were augmented concerning the mass proportion of reinforcement content. Finally, the wear test result reveals that the addition of nano-sized Si3N4 reinforcement contents up to a mass proportion of 3% downgrades the wear rate.

Aluminium alloy is the popular material in the world to produce lot of light weight parts with high strength, in additionally reinforcement is consider to these alloy is improve its strength. In this investigation consider the AA7050 aluminium alloy as a base material with reinforcement of Silicon Carbide (SiC) at various percentage level like as 0%, 4 % and 6 %. The wear of this composites are analysed through the design of experiments (Taguchi approach) for optimize the process parameters. This wear study is considered the parameters are Sliding velocity in m/s (1, 2 and 3), Sliding distance in m (1000, 1400 and 1800) and percentage of composition (0%, 43% and 6%). For this experimental investigation the sliding distance as most significant factor among three. The microstructure analysis demonstrated that there is a SiC particles which reduces wear of the samples.

Steam generation and utilization are needed in many industries and home appliances with, specific requirements. Though there are numerous categories of boilers available for steam generation, this analysis concentrated on the water tube boiler since it produces more steam and offers better safety measures. Taguchi techniques are considered in this entire research work completed through design of experiments (DOE). Orthogonal array L16 is selected to examine the steam generation with four process parameters and four levels. Selected process parameters are namely temperature of feed water (°C), the pressure of feed water (bar), cold water supply (liters), and boiler drum pressure (bar). The response of this study is the as steam generation to since increasing the steam is a target of this investigation. The experimental value of the steam generation is compared with the desired range; most of the response values are within the predicted value. Further, the superheated steam temperature and pressure analysis were also carried out. The maximum steam generation is achieved as 84.31 L; registered in the 15th run of the experiment.

The electrochemical micromachining in non-conventional machining which suffers from process control in micro level. In addition, the work material i.e. stainless steel provides high strength, high toughness and adherence to tool material, hence machining of such material is arduous. However, the use of stainless steel offers its availability in the field of aerospace fuel injection and orthodontic application, since it possess superior qualities. In this paper, the optimization of micro drilling process is carried out in stainless steel by considering certain metrics like feed rate, voltage and duty ratio. The geometric characteristics to drill the tool depends on response parameters like overcut, removal rate of material and conicity. Such parameter determines both the geometric and machining characteristics of the drill bit. The study is evaluated to observe the effect of response and duty ratio parameters such as material removal rate (MRR), machining time and overcut. Further, the conicity is analyzed using VMS images. Finally, the proposed work establishes duty cycle in pulsed electrochemical micromachining domain of hard materials and tests its performance. Keywords: Micro drilling process, Material removal rate, Stainless steel, Unconventional manufacturing process

Inulinase are industrial food enzymes which have gained much attention in recent scenario. In this study, Inulinase producing eight bacterial colonies were isolated and screened from three different plant root tubers soil sample. Among 8 inulinase producing colonies, the higher yielding colony was selected with 25.10 U/mL for further studies. The best inulinase producing colony was identified by partial 16S rRNA gene sequence as Bacillus sp. The crude inulinase was purified by using ammonium sulphate precipitation, dialysis and ion exchange chromatography on DEAE – sephacel and obtained 1.9 purification fold with total activity 293 U. The purified enzyme was subjected to characterization studies and it was found to be stable at 30–60 °C and optimum temperature was at 55 °C. The enzyme was stable at pH 3.0–7.0 and optimum pH was at 6.5. The Km and Vmax value for inulinase was found to be 0.117 mg/mL and 4.45 μmol min mg−1 respectively, demonstrate its greater affinity. Hence, this enzyme can be widely used for the production of fructose, and fructooligosaccharides, which are important ingredients in food and pharmaceutical industry. Keywords: Inulinase, Bacillus sp., Purification, Characterization, Food industry

Recently, South Eastern Arabian Sea (SEAS) experiences recurrent winter blooms of green Noctiluca scintillans with serious ecological consequences. Here, the analysis of green N. scintillans blooms in SEAS for the past three consecutive years (2018-2021) is presented. The daily monitoring showed intense winter blooms during November with stable sea surface temperatures, high nitrate-phosphate concentrations and relatively lower pH levels. Dissolved oxygen concentration decreased to near hypoxia in the later stages of the bloom. Our analysis finds that the increased occurrence of N. scintillans blooms along SEAS is driven by the coastal currents (EICC), which transport the bloom species from the east coast (south west Bay of Bengal) to west coast of India. Therefore, the N. scintillans seeding from the South west Bay of Bengal intensifies winter blooms in SEAS, thus unveils the influence of oceanic currents in deciding the phytoplankton blooms across the coastal regions of north Indian Ocean., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Twinkle Sathish reports financial support was provided by Cochin University of Science and Technology., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

The entire human race is struggling with the spread of COVID-19. Worldwide, the wearing of face masks is indispensable to prevent such spread. Despite numerous studies reporting on the fabrication of face masks and surgical masks to reduce spread and thus human deaths, this novel work is considered the marine waste of microplastics, namely Polypropylene (PP) polymer, used to fabricate non-woven fabric masks through the melt-blown process. This experimental work aims to maximize the mask's quality and minimize its fabrication cost by optimizing the melt-blown process parameters and using microplastics. The melt-blown process was used to make masks. Parameters such as extruder temperature, hot air temperature, melt flow rate, and die-to-collector distance (DCD) were investigated as independent variables. The quality of the mask was investigated in terms of bacterial filtration efficiency (BFE), particle filtration efficiency (PFE), and differential pressure. The Taguchi L16 orthogonal array and Taguchi analysis were employed for experimental design and statistical optimization, respectively. The results reveal that the higher BFE and PFE are recorded at 96.7 % and 98.6 %, respectively. The surface morphological investigation on different layers ensured the fine and uniform porosity of the layers and exhibited minimum breath resistance (a low differential pressure of 0.00152 kPa/cm 2 ). Hence the chemically treated marine waste microplastics improved the masks' performance., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 Elsevier Ltd. All rights reserved.)

Biowaste generation is considerably increasing multiple times recently due to various social and environmental changes like population growth, economic prosperity, globalisation etc. they contain different composition and generated at different stages of their life cycle. Though studies reported for recycle, reproduce and reuse of them, this investigation is unique by focussing to investigate the ideal circumstances for the production of biogas and methane from anaerobic digestion of vegetable waste using response surface methods and artificial neural networks with thermophilic temperature range. Thermophilic temperature of 20.78, organic loading rate of 0.2, pH of 8.81, agitation time of 5.8 and hydro retention time of 3 are the ideal input parameter values for the generation of biogas 3.03 m3 and methane% 186.08 with a desirability of 1. The Response surface model was surpassed by the Artificial Neural Network model., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Water treatment is as much important as it is to satisfying 11 worldwide sustainable development goals out of 17. The removal of Azo is much important as they are toxic and their existence in water, air and food can easily affect humans by triggering allergies, forming tumours etc. Azo contained Dyes Production was banned in many countries. This research aims to synthesize composite Nanorods and Nanospheres and characterize and test to remove Azo dyes from the wastewater. This research used a previously reported method to rapidly synthesize chitin magnetite nanocomposites (ChM) by co-precipitation while irradiating with ultrasound (US). Detailed structural characterization of ChM revealed a crystalline phase analogous to magnetite and spherical morphologies; extending the reaction time to 8 min yielded a "nanorod" type morphology. Both the morphologies displayed a nanoscale limit with particles averaging between 5 and 30 nm in size, resulting the superparamagnetic performance and saturation magnetization values between 45 and 58 emu/g. The nitrogen adsorption-desorption isotherms showed that the surface modification of ChMs resulted in a rise of specific surface area and pore size. Anionic azo dyes (methyl orange (MO) and reactive black 5 (RB5)) adsorption on the surface of nanocomposites was also demonstrated to be pH-dependent, with the reaction favoured for surface-modified samples at pH 4 and unmodified samples at pH 8. Adsorption capacity studies showed that molecule size effect and electrostatic attraction were two distinct adsorption processes for unmodified and modified ChMs. Chitin Magnetite nanoparticles appear to be a substitute for traditional anionic dye adsorbents. Additionally, the two key materials sources, chitin, and magnetite are inexpensive and easily accessible., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper, (Copyright © 2022 Elsevier Inc. All rights reserved.)

Phenols are of much toxicological and they must be effectively removed from the wastewater from industries as well as sewage treatment. Such removal demands a special and strong composite. So, this piece of research aims to activate Potassium peroxymonosulfate (PPMS) with the large surface area of magnetite nitrogen-fixed porous carbon nanotube composites (Co/CoOx@NCNT). Increases in the graphitization degree and structural control brought about by the incorporation of reduced Graphite oxide (rGO) significantly increased the catalyst activity of Co/CoOx@NCNT. It was found that PPMS activation for phenol removal by Co/CoOx@NCNT was nearly as effective as by homogeneous Co 2+ , with nearly 100% removal efficiency in 10 min. Both high reusability and high recycling of Co/CoOx@NCNT were accomplished simultaneously by proving the technology of viability in practical applications. The PPMS activation mechanism in the Co/CoOx@NCNT/PPMS system was driven by the electron transmission from contaminants to PPMS through the sp 2- hybrid carbon nanotubes and nitrogen system. The selectivity of the Co/CoOx@NCNT/PPMS system to remove diverse organic compounds was determined by batch experiments. Due to the insignificant impact of radicals reactive on pollutant breakdown, the ability to inhibit species (such as Cl - and natural organic materials) from a minor role was significantly decreased. These results not only shed light on the process of PPMS heterogeneous activation but also provided a framework for the balanced project of highly effective nanocarbon-based catalysts for PPMS activation., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Chlorophyll-a is an established indexing marker for phytoplankton abundance and biomass amongst primary food producers in an aquatic ecosystem. Understanding and modeling the level of Chlorophyll-a as a function of environmental parameters have been found to be very beneficial for the management of the coastal ecosystems. This study developed a mathematical model to predict Chlorophyll-a concentrations based on a data driven modeling approach. The prediction model was developed using principal component analysis (PCA) and multiple linear regression analysis (MLR) approaches. The predictive success (R 2 ) of the model was found to be ~84.8% for first approach and ~83.8% for the second approach. A final model was generated using a combined principal component scores (PCS) and MLR approach that involves fewer parameters and has a predictive ability of 83.6%. The PCS-MLR method helped to identify the relationship amongst dependent as well as predictor variables and eliminated collinearity problems. The final model is quite simple and intuitive and can be used to understand real system operations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2020 Elsevier Ltd. All rights reserved.)

Vibrio species are widely distributed in the estuarine and coastal waters that possess the greatest threat to human health worldwide. In this study it is aimed to isolate and observe the abundance of Vibrio sp. and prevalence of biomarker genes and antibiotic resistance profile of V. cholerae isolated from the Port Blair bays of South Andaman. A total of 56 water samples were collected from the seven sampling stations of Port Blair bays in which maximum number of Vibrio sp. population density (1.78 × 10 4 ) was recorded in Phoenix Bay. Among the 786 isolates 57.38% of the isolates were confirmed as Vibrio sp., Vibrio cholerae and Vibrio parahaemolyticus. PCR results revealed that the prevalence of biomarker genes was recorded maximum in the isolates from Phoenix Bay and Junglighat Bay samples. Upon further analysis, it was observed that the prevalence of hlyA gene (215 bp), was found to be the most widespread biomarker determinant in 84.17% of isolates. Major virulence determinants; ctxA, ompU and toxR genes were not detected in V. cholerae isolates from Port Blair bays. Maximum antibiotic resistance pattern was observed in Phoenix Bay isolates and maximum number of V. cholerae isolates was resistance to tetracycline (60.76%). Cluster and Principal Component Analysis were employed to understand the diversity and distribution of Vibrio isolates and its biomarker genes. Upon PCA analysis seasonal influence was not much perceived in Vibrio species diversity in Port Blair bays and the lack of significant difference in the detection of species diversity in this study is due to resemblance in geographical conditions and sources of pollution., (Copyright © 2019 Elsevier Ltd. All rights reserved.)

Andaman and Nicobar islands is one of the major tourism hubs of the World. Most travelers visit these islands for historical attractions, beaches, snorkeling, scuba diving, coral reefs, adventure and recreation. Port Blair is the capital and sole entry/exit point of these islands. The coasts of Port Blair Bay (PBB) and Wandoor Creek (WC) are largely populated due to its services offered to different public/private sectors and for the economic significance. Nevertheless, the global recognition of these islands relies on its healthy ecosystem. Effective management of beaches, bays and their environmental services requires knowledge of coastal water quality. This study assesses the datasets of twenty seawater quality parameters of PBB and WC generated during five years (2011-2015) at eight sites. Multivariate statistical techniques were used for (i) analysis and interpretation of water quality parameters (ii) identification of pollution factors/sources and (iii) understanding spatio-temporal variations valuable for coastal water quality management., (Copyright © 2018 Elsevier Ltd. All rights reserved.)