Behnken Design Research Articles

Optimasi Metode Microwave-Assisted Extraction (MAE) untuk Menentukan Kadar Flavonoid Total Ekstrak Etanol Kulit Pisang Kepok (Musa Paradisiaca.L)

Indonesia is a country that has a lot of banana diversity. One of the banana plants that is widely found in Indonesia is the Kepok banana (Musa Paradisiaca.L). Kepok banana skin has a very high content of flavonoids and phenols. Flavonoids are known as good antioxidants because they can find reactive oxygen species with the phenolic hydroxyl group that flavonoids have. The aim of this research was to determine the results of the optimization of the Microwave-Assisted Extraction (MAE) method on the total flavonoid content of kapok banana peel ethanol extract. Microwave-Assisted Extraction (MAE) was done to extraction flavonoid from ethanol extract of kepok banana peel (Musa Paradisiaca.L). The sample collected from Widoro village, Karangsambung sub-district, Kebumen regency. Optimum extraction condition was determined by the Response Surface Methodology (RSM). The Box- Behnken design (BBD) was used to evaluate the influence of 3 factors with 3 levels extraction that is power level (10%, 30%, 50%), ethanol concentration (50, 70, 96%), and extraction time (3, 5 and 7 minutes) with 15 different runs. The research showed that optimum extraction condition was at 24,14 % of power level, 66,26% ethanol concentration, and time extraction of 3,52 minutes with calculations from the Design Expert program, the total flavonoid content response was 8.491 Mg QE/g. The total flavonoid content value obtained experimentally was 8,246 Mg QE/g under condition of 30 % power level, 70% ethanol concentration, and time extraction of 5 minutes. Based on the result, total flavonoid content can be significantly increased by optimizing the MAE process use RSM.

Effect of eco-friendly organic additives on copper electropolishing and process parameter optimization

The type of organic additives significantly affects copper electropolishing performance, including glossiness and surface smoothness. Therefore, developing efficient and eco-friendly additives is crucial for advancing this technology. This study investigates the effects of glycerol and ascorbic acid on copper electrochemical properties and surface morphology. Using the Box- Behnken Design (BBD), we examined the interaction effects of polishing time (A), current density (B), and polishing temperature (C) while optimizing the process parameters. The results demonstrate that glycerol and ascorbic acid additives effectively reduce the critical current density and limiting current density, synergistically enhancing copper surface glossiness and smoothness while slowing down the dissolution rate of the copper. Interaction analysis revealed a prioritized sequence of effects: AB > BC > AC. Under optimal conditions (1.5 min of polishing time, 12 A dm−2 of current density, and 27 °C of polishing temperature), copper surface roughness decreases from 1.2 μm to 37 nm, representing a 97% reduction, along with enhanced corrosion resistance.

Preparation, Characterization and Quantification of Mangiferin in Mangiferin-loaded Microspheres

Introduction: Mangiferin shows great promise as a potent drug for a wide variety of diseases. Its low bioavailability and poor water solubility, however, restrict its therapeutic use. Methods: The aim of the study goal was to systematically design a UV-spectroscopy method for mangiferin quantification in analytical samples that is quick, easy, and very sensitive. In order to validate the method, UV spectroscopy was used to check for specificity, accuracy, precision, and linearity. The models were constructed with Design ExpertⓇ V.10 and optimised using Box- Behnken Design (BBD), a three-factor and three-level procedure. Results: The devised method demonstrated good levels of sensitivity, specificity, accuracy, and precision, according to the results. The absorbance and concentration showed a strong linear relationship in the given 5-25 μg/ml range for several wavelengths, with correlation coefficients of 0.989, 0.982, 0.905, and 0.896 at 364.5, 370, 378, and 265nm, respectively. The intraday precision was 0.788 at 364.5 nm, 0.801 at 370 nm, 0.739 at 378 nm, and 0.721 at 256 nm for the concentration of 20 μg/ml. Particle size and entrapment efficiency, two dependent variables in the microspheres formulation, were best suited by the models derived when the observed responses were fitted to the design. Microspheres had a high entrapment efficiency and were microsized. Interestingly, drug-encapsulated microspheres containing mangiferin maintained the spherical shape. Conclusion: The existence of well-resolved peaks and good recovery of mangiferin in the analytical method for analysis makes it ideal and acceptable for further use.

Effect of KOH- and NaOH-modified fly ash on the adsorption of methylene blue and crystal violet dyes: a Box-Behnken design study

ABSTRACT Coal Fly Ash (FA) and modified fly ash (mFA), treated with either KOH or NaOH, were used to remove methylene blue (MB) and crystal violet (CV) dyes from aqueous solution. Several techniques, including Thermogravimetric analysis, X-Ray diffraction analysis, Fourier-transform infrared spectroscopy, Brunauer-Emmett-Teller, and Scanning Electron Microscopy, were used to characterise both FA and mFA. To optimise the adsorption process, the Response Surface Methodology (RSM) with the Box – Behnken design (BBD) was applied. Key parameters such as solution pH (4–10), initial dye concentration (200–300 mg/L), contact time (15–180 minutes), and temperature (30–50°C) were varied to assess their impact on adsorption efficiency. The adsorption followed the Langmuir model and pseudo-second-order (PSO) kinetic model. The adsorption capacity of mFA for MB dye was 49.5 mg/g at 50°C, while for CV dye, it was 495.5 mg/g at the same temperature. The adsorption mechanism involved electrostatic attraction, n-π interaction, Yoshida hydrogen bonding, and hydrogen bonding. These results highlight the effectiveness of mFA as a high-capacity adsorbent for treating MB and CV dyes in water solutions.

Optimization, gene cloning, expression, and molecular docking insights for enhanced cellulase enzyme production by Bacillus amyloliquefaciens strain elh1

BackgroundIn this study, we isolated a cellulase-producing bacterium, Bacillus amyloliquefaciens strain elh, from rice peel. We employed two optimization methods to enhance the yield of cellulase. Firstly, we utilized a one-variable-at-a-time (OVAT) approach to evaluate the impact of individual physical and chemical parameters. Subsequently, we employed response surface methodology (RSM) to investigate the interactions among these factors. We heterologously expressed the cellulase encoding gene using a cloning vectorin E. coli DH5α. Moreover, we conducted in silico molecular docking analysis to analyze the interaction between cellulase and carboxymethyl cellulose as a substrate.ResultsThe bacterial isolate eh1 exhibited an initial cellulase activity of 0.141 ± 0.077 U/ml when cultured in a specific medium, namely Basic Liquid Media (BLM), with rice peel as a substrate. This strain was identified as Bacillus amyloliquefaciens strain elh1 through 16S rRNA sequencing, assigned the accession number OR920278 in GenBank. The optimal incubation time was found to be 72 h of fermentation. Urea was identified as the most suitable nitrogen source, and dextrose as the optimal sugar, resulting in a production increase to 5.04 ± 0.120 U/ml. The peak activity of cellulase reached 14.04 ± 0.42 U/ml utilizing statistical optimization using Response Surface Methodology (RSM). This process comprised an initial screening utilizing the Plackett–Burman design and further refinement employing the BOX -Behnken Design. The gene responsible for cellulase production, egl, was effectively cloned and expressed in E. coli DH5α. The transformed cells exhibited a cellulase activity of 22.3 ± 0.24 U/ml. The egl gene sequence was deposited in GenBank with the accession number PP194445. In silico molecular docking revealed that the two hydroxyl groups of carboxymethyl cellulose bind to the residues of Glu169 inside the binding pocket of the CMCase. This interaction forms two hydrogen bonds, with an affinity score of −5.71.ConclusionsOptimization of cultural conditions significantly enhances the yield of cellulase enzyme when compared to unoptimized culturing conditions. Additionally, heterologous expression of egl gene showed that the recombinant form of the cellulase is active and that a valid expression system can contribute to a better yield of the enzyme.

RP-HPLC Estimation of Clobetasol Propionate and Salicylic Acid using Quality by Design Approach

ABSTRACT: The RP-HPLC method for CLOP and SA estimation from bulk and pharmaceutical dosage from has been developed and validated. For analytical methods to be robust, current ICH guidelines, Q8 to Q11 were suggested use of analytical quality by design (AQbD) includes adoption of current systematic approaches. The proposed method was optimized and developed using Taguchi orthogonal design. The RP-HPLC method parameters were optimized by box- Behnken design. The stationary phase used C18 Princeton column (150mm × 4.6mm × 5µm) with acetonitrile: 0.05M phosphate buffer (pH 2.5, adjustment with by ortho - phosphoric acid) as mobile phase at ratio of 60:40v/v, 1.0 ml/min of flow rate along with UV-Visible wavelength of detection 240 nm. The linearity over concentration 5-15 µg/ml for CLOP and 600-1500 µg/ml for SA (r2 =0.9969 for CLOP and 0.9943 for SA) was found. The retention time for SA was 2.2 min. and CLOP 7.0 minute. The % recovery was found to be 98.0.3 SA and 97.84 or CLOP. As per ICH analytical method validation guidelines [Q2 (R1)], the RP-HPLC method was validated.

Bioconversion of waste glycerol into viscosinamide by Pseudomonas fluorescens DR54 and its activity evaluation

Lipopeptides, derived from microorganisms, are promising surface-active compounds known as biosurfactants. However, the high production costs of biosurfactants, associated with expensive culture media and purification processes, limit widespread industrial application. To enhance the sustainability of biosurfactant production, researchers have explored cost-effective substrates. In this study, crude glycerol was evaluated as a promising and economical carbon source in viscosinamide production by Pseudomonas fluorescens DR54. Optimization studies using the Box − Behnken design and response surface methodology were performed. Optimal conditions for viscosinamide production including glycerol 70.8 g/L, leucine 2.7 g/L, phosphate 3.7 g/L, and urea 9.3 g/L were identified. Yield of viscosinamide production, performed under optimal conditions, reached 7.18 ± 0.17 g/L. Preliminary characterization of viscosinamide involved the measurement of surface tension. The critical micelle concentration of lipopeptide was determined to be 5 mg/L. Furthermore, the interactions between the viscosinamide and lipase from Candida rugosa (CRL) were investigated by evaluating the impact of viscosinamide on lipase activity and measuring circular dichroism. It was observed that the α-helicity of CRL increases with increasing viscosinamide concentration, while the random coil structure decreases.

Optimization of Wellbore Annulus Cleaning Tool Based on CFD-DEM and Box-Behnken Design

During the oil and gas drilling process, inefficient cuttings transport may elevate cuttings concentration, leading to higher Equivalent Circulating Density (ECD) and easily triggering a series of wellbore stability issues. In this paper, a new type of annulus cleaning tool is developed, incorporating the H- B non-Newtonian fluid model and a coupled CFD-DEM to construct a numerical model for analyzing the cuttings transport behavior within the multi-layer wellbore annulus using the cleaning tool. The model, validated against experiments, reveals factors affecting Cuttings Transport Ratio (CTR). Through Box- Behnken Design (BBD), Response Surface Methodology (RSM), and Analysis of Variance (ANOVA), a correlation function for CTR is derived to optimize the cleaning tool parameters. Findings show an initial increase then decrease in CTR with nozzle quantity, diameter, and angle. Decreasing hydraulic diameter enhances CTR, whereas nozzle diameter variation has minimal impact at smaller diameters. After optimization, CTR reaches 95.76% with 4 nozzles of 10mm diameter, 32° angle, and 57mm hydraulic diameter. These results guide cleaning tool optimization design , improving cuttings transport efficiency, and ensuring safe oil and gas production.

Extraction process optimization of alisol B 23-acetate from Alismatis Rhizoma and its protection against carbon tetrachloride-induced acute liver injury

Alisol B 23-acetate (AB23A) is an important pharmacodynamic compound found in Alismatis Rhizoma. In this study, response surface methodology (RSM) and Box- Behnken design (BBD) were used to optimize the extraction parameters of the AB23A. The optimal conditions included a solid–liquid ratio of 1:13, a reflux extraction of 70% ethanol, an extraction time of 2 h, and an extraction cycle of 3 cycles. Furthermore, a rat model of acute liver injury was established using carbon tetrachloride (CCl4), and a comprehensive analysis combining histopathology, lipidomics, and metabolomics was conducted to elucidate the hepatoprotective effect of AB23A. The findings revealed that AB23A significantly reduced the levels of serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), and alkaline phosphatase (ALP), and restored the abnormal morphology of hepatocytes. Furthermore, AB23A exhibited the ability to attenuate CCl4-induced lipid peroxidation, as evidenced by the upregulation of glutathione (GSH) and glutathione peroxidase 4 (GPX4) levels, along with a reduction in malondialdehyde (MDA) content in the liver. Omics results and immunohistochemistry analyses demonstrated a decrease in inflammatory reaction and oxidized phospholipid levels following AB23A administration, indicating an enhanced anti-inflammatory and antioxidant capacities of hepatocytes. Differential metabolite analysis revealed that AB23A improved anti-inflammatory and antioxidant capacities by modulating liver sphingolipid metabolism and purine metabolism, thereby enhancing hepatocyte recovery and counteracting acute liver injury induced by CCl4.

Optimization of microwave assisted extraction of bioactive compounds from black bean waste and evaluation of its antioxidant and antidiabetic potential in vitro

Legumes processing industries have led to an accumulation of waste as a byproduct which is often discarded. However, this study aimed to use a ‘green technology’ such as microwave-assisted extraction (MAE) to valorize the wastage and assess the functional attributes of black beans (Phaseolus vulgaris L.) hull powder (BBHP). The Box- Behnken design was employed to optimize the response variables of MAE and the process variables were as follows: microwave power (100–600 W), extraction time (2–6 min), and solvent: solid ratio (20:1–50:1 mL/g). For comparative purposes, conventional solvent extraction (CSE) has been considered for extracting bioactive compounds. The black bean extract was obtained by MAE under optimum conditions of microwave power of 334.4 W, solvent: solid ratios of 50:1 mL/g, and an extraction time of 6 min showed the highest yield of bioactive components, with total anthocyanin and phenolic content of 34.14 mg/g and 197.23 mg (GAE)/g, and their antioxidant activities are 91.37 % ABTS and 93.51 % DPPH compared to CSE. Further, an optimized sample of BBHP extracts exhibited the inhibitory effects on the activities of α-amylase 80.41% and α-glucosidase 86.14% respectively. Overall results show that MAE is better than CSE for extraction of functional attributes from black bean waste.

Optimization of BaSnO3 as a compact layer for enhancement of DSSC performance using response surface methodology/Box–Behnken design

Optimization of BaSnO3 as a compact layer for enhancement of DSSC performance using response surface methodology/Box–Behnken design

Optimization of Extraction Process and Preclinical Evaluation of Marsilea quadrifolia L. in Streptozotocin-Induced Diabetic Rats

Marsilea quadrifolia is traditionally used for treatment of diabetes by the natives of Jharkhand in India. The current study is focused on optimization of extraction process and validation of traditional claim of the plant Marsilea quadrifolia Lin streptozotocin-nicotinamide induced type2 diabetic rats.Box Behnken Design (BBD) software was used for optimization of extraction process and total phenolic content of the plant. Antidiabetic potential of hydroalcoholic extract (150mg/kg, 300mg/kg, 450mg/kg) was evaluated through in-vivo rat model, and diabetes was induced by an intraperitoneal injection of nicotinamide (110mg/kg, i.p.) followed by streptozotocin injection (65mg/kg, i.p.). Glibenclamide (10mg/kg, per oral) was used as standard drug during treatment. Extractive yield and total phenolic content were found to be 14.1% and 119.45mg/g gallic acid of dried extract, respectively. The hydroalcoholic extract of M. quadrifolia exhibited significant reduction in blood glucose level at a dose of 150mg/kg, 300mg/kg, and 450mg/kg in a dose-dependent manner when compared to standard Glibenclamide (10mg/kg, per oral). Moreover, extract showed improvement in biochemical parameters, such as lipid profile, body weight, liver glycogen, and in-vivo antioxidant potency. Furthermore, histopathological examinations were performed on rat brains. Our work potentially validates the traditional claim of plant being used as anti-diabetic, using STZ induced rat model. The total phenolic content of hydroalcoholic extract of M. quadrifolia L. may be responsible for its anti-diabetic potential.

A CFD-Based Design of S-Shaped Nozzle Attachment for Aircraft Cabin Gaspers

Cough has been the primary mode for transmitting airborne respiratory diseases as the droplets expelled are suspended in the air longer in closed environments like aircraft cabins. Air jets from personal gasper nozzles are studied using computational fluid dynamics (CFD) simulations to understand the flow pattern, which is of high velocity, very narrow, and susceptible to enhanced air mixing. An S-shaped nozzle attachment uses higher-order Bezier curves to spread the flow across the passenger’s face to form a shield to protect the breathing zone from foreign particles. The design of experiments theory, the Box – Behnken design, was employed to understand the influence of nozzle profile geometric parameters on the output criteria through CFD simulations. The numerical simulations were performed on the final design, which shows that the newly designed nozzle attachment can distribute the narrow jet from existing personal gasper nozzles into a curved air curtain across the passenger’s face.

Statistical optimization of process variables for agarase production using Microbacterium sp. SS5 strain from non-marine sources

Agar oligosaccharides are thought to be valuable biomolecules with high bioactivity potential, along with a wide range of applications and advantages. The current study aimed to optimize the culture parameters required to produce agarase enzyme and agar oligosaccharides from industrial waste agar. Microbacterium spp. strain SS5 was isolated from a non-marine source and could synthesize oligo derivatives for use in a variety of industries ranging from food to pharmaceuticals. In addition, the strain and culture conditions were optimized to maximize extracellular agarase production. The bacterium grew best at pH 5.0 − 9.0, with an optimal pH of 7.5 − 8.0; temperatures ranging from 25 to 45 °C, with an optimal of 35 °C; and carbon and nitrogen concentrations of 0.5% each. Plackett-Burman experimental design and response surface methods were used to optimize various process parameters for agarase production by Microbacterium spp. strain SS5. Using the Plackett-Burman experimental design, eleven process factors were screened, and agar, beef extract, CaCl2, and beginning pH were found as the most significant independent variables affecting agarase production with confidence levels above 90%. To determine the optimal concentrations of the identified process factors on agarase production, the Box- Behnken design was used. Agarase production by Microbacterium spp. strain SS5 after optimization was 0.272 U/mL, which was determined to be greater than the result obtained from the basal medium (0.132 U/mL) before screening using Plackett-Burman and BBD with a fold increase of 2.06.

Optimization of microwave-assisted extraction of plumbagin from Plumbago zeylanica by response surface methodology and adaptive neuro-fuzzy inference system modelling

This investigation aimed to optimize the extraction of plumbagin by the microwave-assisted extraction (MAE) method and optimize the extraction parameters using response surface methodology (RSM) and adaptive neuro-fuzzzy inference system (ANFIS). A single-factor experiment was conducted to examine the range of the extraction parameters. Box and Behnken's design (BBD) which is a three-level factorial experiment was selected to obtain the best combination of three extraction parameters, namely extraction time, solvent volume, and particle size. The experimental data obtained was analyzed and fitted in the second-order polynomial equation, the r2 value of 0.993 for plumbagin yield was obtained. The model was found significant and all three parameters had a significant effect on the plumbagin yield. The optimal parameters were extraction time of 4 min, the solvent volume of 20 mL, and particle size 0.6 mm. At these optimal conditions, the plumbagin yield was 0.992% which was found to be close to the predicted values of RSM and ANFIS. The results obtained showed that MAE can be a highly efficient method for plumbagin extraction by reducing time and solvent consumption by many folds. There is a rising demand for plumbagin in the pharmaceutical industry; this study will allow a time-efficient and cost-effective extraction process.

Treatment of vegetable oil refinery wastewater by sequential electrocoagulation-electrooxidation process

In the present study a sequential process composed of electrocoagulation (EC) followed by electrooxidation (EO) was utilized at the laboratory scale to remove the chemical oxygen demand (COD) from wastewater generated in Iraqi vegetable oil refinery plant.in the EC, impacts of operating variables such as current density (10–30 mA cm-2) and pH (4–10),and EC time (30–90 min) on the COD removal (RE%) were investigated using response surface methodology (RSM) based on Box- Behnken design(BBD). a mathematical correlation that relates the operating factors with RE% was developed and its regression coefficient was 99.02% confirming the significant of the model. Response surface plots showed that RE% increased with increasing current density and time while it decreased with increasing pH. The optimum removal with a lower cost for EC process were achieved at current density of 30mA/cm2, pH of 4, and electrolysis time of 90 min in which RE% of 69.19% was obtained with requirement of 0.513kWh/kg COD as specific energy consumption (SEC). The effluent exit from EC was treated by EO for a period of 240min at a current density of 30mA/cm2 and an initial pH value of 4 to obtain RE% of 96% at SEC of 1.554 kWh/kg COD. Combining EC with EO resulted in a total RE% of 98.72% and a total SEC of 2.067 kWh/kg COD. Based on the results of present study, the applicability of a sequential electrocoagulation-electrooxidation process for treatment vegetable oil wastewaters is feasible.

Application of Box- Behnken Design with Response Surface Methodology to Analyse Friction Characteristics for Corrugated Pipe via CFD

Due to the fact that modern technologies are getting smaller and more compact and are anticipated to perform better, there has been an increase in interest in heat transfer enhancement employing hybrid nanofluids in tubes and channels in recent years. This study seeks to establish an outward saw tooth corrugated wall model-based predictive friction characteristic for internal tube flow. Computational Fluid Dynamics (CFD) was used to simulate the model numerically. The response behaviour study was then conducted utilising the Design of Experiment (DOE) and the Response Surface Methodology (RSM). The established surrogate model has led to the consideration of RSM. In this study, the DOE was executed by utilising the Box-Behnken Design (BBD) method with two-level factorial by considering three parametric factors which are: (a) 10000 to 30000 axial Reynolds number, Re, (b) 1mm to 4mm wave amplitude, a, and (c) 5mm to 20mm wavelength, lw. The results showed that the expected response surface values are consistent with the CFD values and that the predictive model is therefore reliable. The R-squared (R2) value is 98.25%, indicating that the model can predict new observations. The wavelength and wave amplitude show significant factors influencing the friction factor which is -0.11235 and 0.14861 respectively and this is based on the normal plot of the effect from the regression model from RSM. These results provide data for estimating the geometric characteristics of tube corrugated wall.

Pyrolyzed synthesis of boron nitride for photocatalytic degradation of indigo carmine studies

A non-metal type photocatalytic layered boron nitride (BN) material was synthesized by precursor conversion hydrothermal process followed by adequate temperature pyrolysis. The characterization of BN was performed through various analytical instrumental techniques. The results show that a hexagonal crystal structure BN with a strong BN bond was formed. The photocatalytic decolorization of indigo carmine (IC) dye was examined using synthesized BN with influencing factors like time, pH, catalyst, and dye concentration under ultra-violet light (UV) illumination. The decolorization efficiency was found to be 88%. The optimization of operating parameters was investigated and also found a model equation of decolorization efficiency through response surface methodology (RSM) based box - behnken design (BBD). The photocatalytic decolorization mechanism was suggested based on the experiments performed.

Development of Size Optimized Bromelain Loaded Nanocarriers by Box- Behnken Design

Bromelain (BRN) is an extensive product of investigation, regarded as eff ective naturally produced anticancer agents. Heterogeneity of tumors amongst patients and within disease, generates a necessity of personalization of nanomedicine. The size of nanoparticle is found to be a signifi cant target in enhancing precision therapeutics, by fondly accumulate it within the tumor microenvironment. The objective of the study is to achieve an optimum size of 50 to 100 nm BRN loaded nano carriers, to intensify the EPR eff ect and thereby overcome heterogeneity. Optimization of the nanoparticles commenced with the interrogation of eff ect by various formulation variables. The development of nanoparticles carried out by the nanoprecipitation method, where three independent variables, such as the amount of PLGA, Tween 80 and BRN are chosen after an overall screening and employed in Design Expert Software. The selected Box-Behnken design provides a total of 17 confi rmatory runs at varied levels of independent variables and detected its infl uence on responses. The runs resulted in an optimized formula with the desired particle size of 78.64 ± 2.14 nm and a maximum entrapment effi ciency of 89.14% at 24th hour. Then the selected formula characterized for polydispersity index, zeta potential, sanning electron m icroscopy, determination of drug content, study of in-vitro drug release etc.

Mechanical and durability properties of basalt-steel wool hybrid fibre reinforced pervious concrete – A Box Behnken approach

The mechanical and durability properties of pervious concrete depend on void characteristics and the cementitious paste properties. The addition of fibers can improve the cementitious paste properties. However, a single fibre may not be competent to enhance the properties. Hence in the current study basalt-steel wool hybrid fibre system is used to improve the properties of pervious concrete. Box Behnken's design of experiments approach is used to generate higher order response surfaces using lesser number of trials. Cementitious paste volume, fibre volume, fibre volume ratio and coarse aggregate sizes are used as the response variables. The study is conducted on a total of 45 mix combinations. 5% silica fume is added to enhance the paste volume. To maintain the minimum void spaces, a cementitious paste volume of 20–40% is adopted. Total fibre addition in the range of 0–0.5% and basalt to steel wool hybridization ratio of 0–1 is maintained. Regression analysis is carried out to study the factorial level effects on both the fresh stage and hardened concrete properties. Fresh concrete properties like void ratio is increased and fresh concrete density is decreased with addition of fibres. The addition of fibres has slightly reduced the compressive strength. However, a substantial increase in flexural strength is found. Basalt rich pervious composites have an improved abrasion resistance. Increase in coarse aggregate size increased the fresh stage density and reduced the fresh stage void content of pervious concrete. Statistical analysis and prediction modelling are conducted to assure a match between the experimental values and the predicted values.