Response Surface Methodology Approach Research Articles

Response Surface Methodology Approach for the Prediction and Optimization of the Mechanical Properties of Sustainable Laterized Concrete Incorporating Eco-Friendly Calcium Carbide Waste

This study investigated the combined effects of calcium carbide waste (CCW) and lateritic soil (LS) on sustainable concrete’s fresh and mechanical properties as a construction material for infrastructure development. The study will explore the possibility of using easily accessible materials, such as lateritic soils and calcium carbide waste. Therefore, laterite soil was used to replace some portions of fine aggregate at 0% to 40% (interval of 10%) by weight, while CCW substituted the cement content at 0%, 5%, 10%, 15%, and 20% by weight. A response surface methodology/central composite design (RSM/CCD) tool was applied to design and develop statistical models for predicting and optimizing the properties of the sustainable concrete. The LS and CCW were input variables, and compressive strength and splitting tensile properties are response variables. The results indicated that the combined effects of CCW and LS improve workability by 18.2% compared to the control mixture. Regarding the mechanical properties, the synergic effects of CCW as a cementitious material and LS as a fine aggregate have improved the concrete’s compressive and splitting tensile strengths. The contribution of LS is more pronounced than that of CCW. The established models have successfully predicted the mechanical behavior and fresh properties of sustainable concrete utilizing LS and CCW as the independent variables with high accuracy. The optimized responses can be achieved with 15% CCW and 10% lateritic soil as a substitute for fine aggregate weight. These optimization outcomes produced the most robust possible results, with a desirability of 81.3%.

Optimization of papain hydrolysis conditions to enhance antioxidant activity in de-oiled garden cress (L. sativum) seed protein: response surface methodology approach and hydrolysate characterization

Optimization of papain hydrolysis conditions to enhance antioxidant activity in de-oiled garden cress (L. sativum) seed protein: response surface methodology approach and hydrolysate characterization

Enhanced photocatalytic activity of BB41 and ROM2R dyes using green synthesized NiO nanoparticles: A response surface methodology approach

BackgroundNiO NPs are recognized for their potential in catalysis, energy storage, and environmental remediation. Green synthesis using plant extracts, such as Cucumis maderaspatanus L. (CmL.) leaves, offers an eco-friendly approach. This study focuses on synthesizing and analyzing the structural, optical, and photocatalytic properties of Cm-NiO NPs. MethodologyCm-NiO NPs were synthesized using CmL. leaf extract and calcinated at 300, 500, and 700 °C. XRD confirmed a face-centered cubic structure. Band gap values were 3.36 eV at 300 °C, 2.98 eV at 500 °C, and 3.15 eV at 700 °C. TEM showed spherical particles of 17.81 nm. The point of zero charge (pHpzc) was pH 7.95. The photocatalytic activity was tested on BB41 and ROM2R dyes under varying pH (4 – 10), dye concentrations (10 – 50 ppm), catalyst amounts (0.1 – 1.0 mg/mL), and light sources. Scavenger studies identified reactive compounds. Response surface methodology (RSM) optimized the degradation process. LC-MS analyzed degradation products, and ECOSAR software estimated their toxicity. Significant FindingsCm-NiO NPs showed high photocatalytic efficiency, degrading 93.60 % of BB41 and 88.76 % of ROM2R under UV light (250 W, 365 nm). The nanoparticles demonstrated a face-centered cubic structure and a pHpzc of 7.95. RSM effectively optimized the process, and toxicity analysis suggested a potential for environmental applications.

Optimization of Electrodialysis for Ammonium Removal From NH4Cl-Doped Groundwater Samples Using the Response Surface Method.

This study aims to optimize ammonium removal from NH4Cl-enriched groundwater at different concentrations using an electrodialysis (ED) process. A customized design (CD) based on response surface methodology (RSM) was employed to develop predictive models and improve the performance of the demineralization system. Ion removal efficiency was evaluated in 32 unique experimental configurations, taking into account variations in three input parameters: voltage (A), initial ammonium concentration (B) and demineralization rate (C). These parameters were selected for their impact on two response variables: electric conductivity (Y1) and final ammonium concentration (Y2). An in-depth analysis of variance (ANOVA) was performed to examine the variables and their interactions. The results indicated that Y1 was significantly influenced by C, while Y2 was influenced by B. In addition, the predictive models demonstrated strong correlations, with a coefficient of determination (R2) greater than 0.88 for both response variables. The RSM approach applied to optimize the parameters studied identified the following optimum values: 14.17 V for A, 1 mg/L for B and 70 % for C, giving Y1 of 215.377 μS/cm and Y2 of 0.279 mg/L.

A hybrid of RSM, ANFIS, and machine learning algorithm approach for ultrasound-assisted extraction of bioactive compounds from Semecarpus anacardium Linn

ABSTRACT Ultrasound-assisted solvent extraction (UASE) was appslied to extract phytoconstituents from Semecarpus anacardium L. The effective extraction parameters were optimized using the Response Surface Methodology (RSM) with Central Composite Face Centered design (CCFC), and the optimization parameters were validated through Adaptive Neuro-Fuzzy Inference System (ANFIS) and Machine Learning (ML) algorithm models. The four independent parameters, i.e. ethanol concentration (X 1: 62–72% v/v), temperature (X 2: 38–48°C), ultrasonic-exposure time (X 3: 12–24 min), and particle size (X 4: 2–5 mm) were optimized. The maximum yield of phytocompounds was achieved at X 1 = 67%, X 2 = 43°C, X 3 = 18 min, and X 4 = 3.5 mm. The optimized yield of total phenolic, flavonoid, and antioxidant activity was considered when selecting process parameters. In this scenario, the optimized yields of total polyphenolic content (y1 = 619.25 mg gallic acid equivalent (GAE)/g), total flavonoid content (y2 = 151.24 mg Quercetin equivalents (QE)/g), free radical scavenging abilities (%DPPH*sc (y3 = 66.41%), and %ABTS*sc (y4 = 56.94%). The LC-MS peaks identify the presence of semecarpetin, butein, and amentoflavone, whereas GS-MS peaks represent seventeen gaseous components. Furthermore, the bioactive-rich optimized extract was nontoxic and supported the growth of macrophage- and epithelial cells in vitro. Conclusively, optimizing the UASE parameters enhanced the yield of bioactive compounds of S. anacardium L.

Drinking water treatment through Optimising Phosphate Coagulation collected from four villages in Srikakulam, India: a Response Surface Methodology approach

ABSTRACT The drinking water quality is highly affected by industrialisation and by natural geographical features of the region. This work highlights on the quality survey and treatment of drinking water collected from four villages (Kalyanipeta, Kesavadasupuram, Arinam Akkivalasa, and Chilakapalem) near Nagarjuna Agrichem Limited in Srikakulam district, Andhra Pradesh. Physicochemical parameters of the samples were analysed. The presence of phosphates in the samples (3.15 mg/L P) were found to be above the permissible limits (1 mg/L P) which required instant treatment by coagulation process. Various influencing factors like temperature, dosage, mixing speed, and mixing time were considered for optimization of the process. The statistical experimental design was done using central composite approach of response surface methodology to optimise phosphate removal via coagulation and flocculation technique. An optimised removal of phosphates was determined to be 79.5% and 76.06% at a temperature of 27°C and 28°C, dosage of 13.412 and 14.906 mg/L, mixing speed of 91 and 78 rpm, and mixing time of 14.25 and 11.62 min for coagulants ferric chloride and aluminium sulphate respectively. Ferric chloride was found to be a better coagulant with a removal efficiency of 79.5% and the treated water contained 0.645 mg/L of phosphate.

Mathematical and Statistical Analysis of Fused Filament Fabrication Parameters for Thermoplastic Polyurethane Parts via Response Surface Methodology

This work aims to analyze the effects of the main process parameters of fused filament fabrication (FFF) on the mechanical properties and part weight of 3D-printed thermoplastic polyurethane (TPU). Raster angle (RA), infill percentage (IP), and extruder temperature (FFF) in the ranges of 0–90°, 15–55%, and 220–260 °C, respectively, were considered as the FFF input parameters, and output variables part weight (PW), elongation at break (E), maximum failure load (MFL), ratio of the maximum failure load to part weight (Ratio), and build time (BT) were considered as responses. The Response Surface Methodology (RSM) and Design of Experiments (DOE) were applied in the analysis. Subsequently, the RSM approach was performed through multi-response optimizations with the help of Design-Expert software. The experimental results indicated a higher maximum failure load is achieved with an increased raster angle and decreased extruder temperature. ANOVA results show that ET has the most significant effect on elongation at break, with elongation at break decreasing as ET increases. The raster angle does not significantly affect the part weight of the TPU samples. The ratio of the maximum failure load to part weight of samples decreases with an increase in IP and ET. The results also indicated that the part weight and build time of FFF-printed TPU samples increase with an increase in IP. An ET of 220 °C, RA of 0°, and IP of 15% are the optimal combination of input variables for achieving the minimal part weight; minimal build time; and maximum elongation at break, maximum failure load, and ratio of the maximum failure load to part weight.

Efficient phosphate removal from water using ductile cast iron waste: a response surface methodology approach.

Water scarcity is a critical issue worldwide. This study explores a novel method for addressing this issue by using ductile cast iron (DCI) solid waste as an adsorbent for phosphate ions, supporting the circular economy in water remediation. The solid waste was characterized using XRD, XRF, FTIR, and particle size distribution. Wastewater samples of different phosphate ion concentrations are prepared, and the solid waste is used as an adsorbent to adsorb phosphate ions using different adsorbent doses and process time. The removal percentage is attained through spectrophotometer analysis and experimental results are optimized to get the optimum conditions using Design Expert V13. The pseudo-second order (PSO) kinetics model and Langmuir isotherm were fitted with the experimental results with maximum adsorption capacity (qmax = 0.28mg/g). The thermodynamic analysis indicated that this adsorption process was spontaneous based on the negative value of Gibbs free energy (∆G). Additionally, the positive values of enthalpy (∆H) indicated the endothermic nature of this adsorption system. It was able to reach the highest adsorption percentage of 98.9 (%) for phosphate ions from aqueous solutions using response surface methodology (RSM) with optimum conditions of 10mg/L phosphate ion concentration, pH = 8, normal room temperature, 9min adsorption, and 0.5g/L adsorbent dosage.

Optimization of the foam-mat drying process to develop high-quality tomato powder: A response surface methodology approach

This research aimed to estimate the optimum formulation of process parameters in making tomato powder with optimal physicochemical properties using foam-mat drying. The egg albumin (EA) concentration (1–5%), carboxymethyl cellulose (CMC) concentration (1–1.5%), and drying temperature (60–70 °C) were employed as independent variables in optimizing through Response Surface Methodology (RSM) in combination with Box-Behnken experimental design (BBD). Based on the total 17 runs of BBD, foam-mat dried powder showed physicochemical properties such as 0.18–0.33 g/cm3 foam density, 178.54–350% foam expansion, 40–94% foam stability, 46.80–62% water soluble index (WSI), 1.13–2.96 water absorption index (WAI), 1.51–2 °Brix TSS, 2.30–3.98 mg/100mL ascorbic acid, 0.22–0.38% titratable acidity, and color (L*: 29.26–48.07, a*: 9.73–16.86, and b*: 6.81–21.56). Furthermore, the ANOVA findings revealed the correlation of determination (R2) exceeding 85% for the models, suggesting that the interaction between the responses and the prediction of the implied model is suitable. The optimal formulation from RSM was 4.59% EA, 0.70% CMC, and 60 °C drying temperature. Under the optimized conditions, the experimental values were 0.19±0.03 g/cm3 foam density, 346.60±3.35% foam expansion, 89.05±2.80% foam stability, 55.56±3.22% WSI, 2.49±0.09 WAI, 1.84±0.15 °Brix TSS, 2.93±0.10 mg/100 mL ascorbic acid, 0.39±0.02% titratable acidity, 46.95±6.35 L*, 17.54±1.50 a*, and 21.85±0.74 b*. The optimized parameters were verified, and there was good agreement between the experimental results and the predicted values (residual standard error (RSE) ≤ 5).

Natural biocide-assisted ultrasonic disinfection of wastewater effluent following a response surface methodology approach

The increasing prevalence of multidrug-resistant (MDR) bacteria in wastewater poses a significant threat to public health and the environment, necessitating more effective and sustainable disinfection methods. Ozonation and chlorination frequently fall short of eliminating these bacteria and can create toxic byproducts. This study introduces a novel disinfection strategy that combines ultrasonication with tea tree oil to target MDR bacteria in residential wastewater treatment systems, aiming to provide an eco-friendly, efficient, and scalable solution. The method harnesses tea tree oil's natural biocidal properties alongside the physical effects of ultrasonication, particularly acoustic cavitation, to enhance bacterial inactivation. Temperature, biocide dosage, and ultrasonication power were the three main factors that were optimized using response surface methodology. The system achieved a 2.2–2.4 log CFU/mL reduction of total bacteria in secondary effluent within 30 min and complete disinfection of modified effluent inoculated with high-strength MDR bacteria (6-log CFU/mL) in 50 min. Optimal conditions were 698.4 Watt power, 1.234 µl/mL tea tree oil, and 20.64 °C. Nucleic acid release and respiratory chain dehydrogenase inhibition indicated bacterial cell membrane rupture. Regrowth tests showed long-term effectiveness, with no bacterial colonies after three days. Using a natural biocide, the hybrid technique reduces operational costs and time, thus having commercial and environmental benefits. The capacity to remove MDR bacteria makes it an attractive contender for large-scale wastewater treatment.

Enhancing Asphaltene Adsorption and Dispersion in Crude Oil With Multiwalled Carbon Nanotubes: Optimization via Response Surface Methodology Approach

Enhancing Asphaltene Adsorption and Dispersion in Crude Oil With Multiwalled Carbon Nanotubes: Optimization via Response Surface Methodology Approach

Optimization of iron, phosphate, and salinity in nutrient medium using response surface methodology for enhancing biochemical composition in Chlorella sp. culture

Microalga Chlorella sp. is a highly scientifically and commercially attractive unicellular microorganism and has developed a stable industry as a nutritional supplement for people and animals. Various nutrient media have been used to grow Chlorella sp. cultures to enhance their growth, pigmentation, and lipid content. However, the optimal biochemical composition and density of Chlorella sp. cultures require an understanding of optimizing the nutrient medium to study their production. The present study aims to investigate the effects of iron, phosphate, and salinity concentrations by working synergically in a nutrient medium on the growth responses, pigments, and lipid accumulation of Chlorella sp. culture using a response surface methodology (RSM) approach. Using the result from the RSM software, a total of 18 experimental groups (E1 – E18) were evaluated, and one confirmation (C) study was conducted. The results revealed that the E7 experiment in Chlorella sp. culture provided the highest cell density and specific growth rate (SGR) with 176.00 × 106 cells mL−1 and 0.35 day−1, respectively. Similarly, the E5 and E1 experiments produced the highest cell density of 166.10 × 106 cells. mL−1 and 152.13 × 106 cells mL−1, respectively. The SGR was also increased at 0.33 day−1 in the E5 experiment and 0.33 day−1 in the E1 experiment. Consequently, the culture of Chlorella sp. containing high iron and phosphate concentrations and lower salinity in a nutrient medium had the highest number of cells, SGR, and pigment accumulation (chlorophyll a and total carotenoid). In addition, the presence of high salinity concentrations reduces Chlorella sp. growth. However, the increase in the growth of Chlorella sp. culture did not indicate an increase in other biochemical compositions. In some cases, biochemical compositions are high due to nutritional limitations or stress factors. For example, in pigment accumulation, chlorophyll a pigment accumulation was increased in experiment E7 (51.57 μg mL−1), while total carotenoid accumulation was increased in experiment E8 (20.68 μg mL−1). In addition, increasing salinity concentration increased chlorophyll a and total carotenoid contents per cell, but decreased Chlorella sp. growth as shown in the E4 experiment, which achieved chlorophyll a levels of 1.38 pg cell−1 and total carotenoid levels of 0.52 pg cell−1. Furthermore, Chlorella sp. culture produces a higher lipid accumulation of 37.38 % in the E3 experiment. Hence, the results of this study contribute to understanding the optimal biochemical composition and cell growth of Chlorella sp. cultures.

Optimization of methylene blue dye degradation using heterogeneous Fenton-like reaction with Fe3O4 nanoparticles/PVDF macrospheres: A response surface methodology approach

Microplastics (MPs) are increasingly recognised for their significant impact on the environment and human health. Understanding MPs is crucial to grasp their widespread presence in various environmental areas. The unique properties of MPs, such as their small size, durability, and potential to adsorb and transport environmental pollutants, underscore the necessity of studying their characteristics. This study aims to investigate the physical and chemical characteristics of polypropylene microplastics (PPMPs) and address the dispersion stability issues associated with them. The PPMPs were characterised using scanning electron microscopy (SEM), revealing a surface structure marked by cracks, fractures, and a rough texture. The PPMPs were observed as irregularly shaped, white particles. Their size distribution spans from 14 to 96 µm, with a mean size of 50.00 µm. Fourier Transform Infrared Spectroscopy (FTIR) confirmed the presence of polypropylene functional groups, specifically identifying characteristic peaks at 2952-2846 cm-1 and 1456 -1376 cm-1, indicating C-H stretching and bending vibrations, respectively, with additional peaks suggesting degradation. The effect of different concentrations of sodium lauryl sulfate (SLS) on PPMPs dispersion indicated that 5% SLS led to superior dispersion of PPMPs, thereby addressing the stability issue. These findings provide comprehensive insights into the physical and chemical attributes of PPMPs and their dispersion stability, offering a foundation for informed environmental assessments and the development of effective mitigation strategies.

Optimization of Material Removal Rate and Wear Rate in EDM Machining of Inconel 625 Using a Novel Nano Al-Ni Composite Electrode: A Response Surface Methodology Approach

The electric discharge machine is a novel machining technique. When the tool and the work item do not communicate. Components composed of difficult-to-machine hard materials. In the current experimental inquiry, the process factors that influence the machining concert process and its effectiveness are explored. The response table for each set of machining limitations is used in conjunction with the response surface methodology in the research to determine the appropriate levels of machining factors. The work's machining input parameters are optimized for maximum material removal rate (MRR) and reduce the electrode wear rate (EWR) when electro-discharge machining Inconel 625 using the tool Nano Al-Ni composite electrode. Another analysis of variance is to identify the factors causing the different answers mentioned above. EDAX was also used to investigate the material composition of the workpiece. Machined workpiece surfaces were evaluated using scanning electron microscopy to assess surface accuracy and microstructural characteristics (SEM). The following conclusions may be drawn from this work. The MRR parameter that is most affected is pulse off time. As pulse-off time lengthens, MRR increases. According to the response graph, the greatest MRR value that can be attained under the ideal parameters of Ip = 8A, T-ON = 50μs, and T-OFF= 100μs is 0.0115 g/min. The magnitudes of MRR range from 0.0091 to 0.044 g/min. Impact of T ON and T OFF: Higher EWR is 0.0022 g/min is seen in runs with T ON = 70 μs and T OFF = 100 μs.

Optimization of Microwave-Assisted Inorganic Salt Pretreatment for Production of Fermentable Sugars from Spent Coffee Ground

Spent coffee ground (SCG) is a solid waste that is generated in the coffee brewing process for coffee beverage production. SCG hold a great potential in reducing sugar production as it consists of high amount of carbohydrates. However, SCG is a lignocellulosic biomass (LCB) which requires pretreatment to degrade the lignocellulosic structure and enhance enzyme accessibility during saccharification process. Hence, this research aims to study the performance of microwave-assisted inorganic salt pretreatment for generation of reducing sugars. Different concentrations of NaCl was applied to determine their effects on reducing sugar produced as well as pH, and solid recovery. Pretreatment with 3% NaCl was found to yield the highest reducing sugar concentration of 43.56 mg/mL, hence it was selected for the subsequent optimization study. Process optimization was designed by using the Response Surface Methodology approach (RSM) with Central Composite Design (CCD), based on three pretreatment parameters; solid to liquid ratio (1:50 - 8:50), microwave power (300W – 800W) and irradiation time (1-10 minutes). The optimized conditions were achieved at solid to liquid of 8:50, microwave power of 800 watt and irradiation time of 10 minutes for a maximum response of 40.89 mg/mL. Moreover, it was observed that microwave-assisted NaCl pretreatment had significantly caused surface morphological changes of the SCG and the removal of functional groups in lignin, resulted in increment of the crystallinity value. In conclusion, microwave pretreatment is a promising green technology for fermentable sugar production from SCG.

RSM-Based Optimization Analysis for Cold Plasma and Ultrasound-Assisted Drying of Caraway Seed.

In this study, the hot-air drying of caraway seeds was enhanced using two nonthermal physical field technologies: cold plasma (CP) and ultrasonic waves (US). Air drying temperatures of 35, 45, and 55 °C with CP pretreatment exposure times (CPt) of 25 and 50 s were used. When convective drying was accompanied by US, power levels (USp) of 60, 120, and 180 W were applied. Experimentally, the most effective contribution was found by using both CP pretreatment (25 s) and US (180 W), in which the maximum decreases of 31% and 39% were estimated for the drying period and specific energy consumption, respectively. The total color change, the rupture force, TPC, TFC, and antioxidant capacity were also estimated for evaluating the quality of dried products. In a CP-US-assisted drying program (25 s, 180 W), the minimum change in color and the rupture force were found to be 6.40 N and 20.21 N, respectively. Compared to the pure air drying, the combined application of CP and US resulted in a mean increase of 53.2, 43.6, and 24.01% in TPC, TFC, and antioxidant capacity of extracts at the temperature of 35 °C. Based on the response surface methodology (RSM) approach and obtained experimental data, accurate mathematical predictive models were developed for finding the optimal drying condition. The optimization process revealed that 39 °C, 180 W, and 23 s resulted in a desirability of 0.78 for drying caraway seeds.

Investigating the Influence of Additive Manufacturing and Ultrasonic Coating Parameters on Biopolymeric Scaffold Performance Using Response Surface Methodology.

Triply periodic minimal surface (TPMS) scaffolds have gained attention in additive manufacturing due to their unique porous structures, which are useful in biomedical applications. Unlike metallic implants that can cause stress shielding, polymeric scaffolds offer a safer alternative. This study is focused on enhancing the compressive strength of additive-manufactured polylactic acid (PLA) scaffolds with a diamond structure. The response surface methodology (RSM)-based experimental design was developed to study the influence of printing parameters. The fused deposition modeling (FDM) process parameters were optimized, achieving a compressive strength of 56.2 MPa. Subsequently, the scaffolds were fabricated at optimized parameters and underwent ultrasonic-assisted polydopamine coating. With the utilization of the RSM approach, the study examined the effects of ultrasonic vibration power, coating solution concentration, and submersion time on compressive strength. The optimal coating conditions led to a maximum compressive strength of 92.77 MPa-a 65.1% improvement over the uncoated scaffold. This enhancement is attributed to the scaffold's porous structure, which enables uniform coating deposition. Energy-dispersive x-ray spectroscopy confirmed the successful polydopamine coating, with 10.64 wt% nitrogen content. These findings demonstrate the potential of ultrasonic-assisted coating in improving the mechanical properties of PLA scaffolds, making them suitable for biomedical applications.

Preparation of Baicalin Liposomes Using Microfluidic Technology and Evaluation of Their Antitumor Activity by a Zebrafish Model.

Baicalin (BCL), a well-known flavonoid molecule, has numerous therapeutic applications. However, its low water solubility and bioavailability limit its applicability. Microfluidics is a new method for liposome preparation that provides efficient and rapid control of the process, improving the stability and controllability. This study used microfluidic techniques to create baicalin liposomes (BCL-LPs), first screening for optimal total flow rates (TFR) and flow rate ratios (FRR), and then optimizing the phospholipid concentration, phospholipid-to-cholesterol ratio, and Tween-80 concentration using univariate and response surface methodology approaches. The study found that the ideal phospholipid content was 9.5%, the phospholipid-to-cholesterol ratio was 9:1 (w:w), and the Tween-80 concentration was 15%. BCL-LPs achieved 95.323% ± 0.481% encapsulation efficiency under the optimum circumstances. Characterization indicated that the BCL-LPs were spherical and uniform in size, with a mean diameter of 62.32 nm ± 0.42, a polydispersity index of 0.092 ± 0.009, and a zeta potential of -25.000 mV ± 0.216. In vitro experiments found that BCL-LPs had a better slow-release effect and stability than the BCL monomer. In zebrafish bioassays, BCL-LPs performed better than BCL monomer in terms of biological activity and bioavailability. The established method provided a feasible medicine delivery platform for BCL and could apply for the transport and encapsulation of more natural compounds, expanding the applications of drug delivery systems in healthcare and cancer therapies.

Bioreduction potential of Providencia sp. and microbial consortium for hexavalent molybdenum: Isolation, identification, characterization, and optimization by response surface methodology

Molybdenum, a heavy metal with industrial applications, poses global toxicity concerns at concentrations exceeding 0.07 mg/L. This study aimed to isolate, characterize and optimize the molybdenum (Mo) reduction potential of bacterial strain and a mixed consortia. We used low phosphate media (LPM) for the isolation and optimization, employing one-factor-at-a-time (OFAT) and Response Surface Methodology (RSM) approaches. Molecular identification based on 16S ribosomal RNA sequencing of the Mo-reducing bacterial isolate revealed Providencia sp. Optimization via OFAT showed that this isolate effectively reduced 60 mM molybdate with optimal conditions of 2 mM phosphate and 10 mM fructose. The mixed consortium achieved remarkable reduction of molybdate at concentration up to 100 mM, the highest reported concentration to date. The RSM optimization of Providencia sp. revealed that the best reduction was supported by a pH of 6.50 and 60 mM molybdate. However, RSM was not successful with the consortium using the Plackett-Burman Design, suggesting that alternative designs should be explored for future optimization. This study advances understanding of Mo-reduction and highlights significant achievements in handling high molybdate concentrations.

Optimization of Ultrasound-Assisted Extraction of Phenolics from Satureja hortensis L. and Antioxidant Activity: Response Surface Methodology Approach

The extract of the plant species Satureja hortensis L. (often used as traditional ethno-therapy and in food processing) was prepared using the ultrasonic extraction technique, and contains a large quantity of secondary metabolites, with scientific evidence for antioxidant, antimicrobial, sedative, antispastic and antidiarrheal activities. Process optimization was carried out using a mathematical–statistical method (response surface methodology—RSM), which models and examines the effects of three levels and three variables on the observed response. The investigated responses were the content of total phenolic components (TPC) and total flavonoids (TFC), as well as tests of antioxidant activity at the level of radicals. The independent variables were ethanol concentration (40–80%), temperature (40–80 °C) and the liquid–solid ratio (10–30 mL/g). Results from this study were entered into a second-degree polynomial with multiple non-linear regression. Analysis of variance (ANOVA) was applied to find the most favorable environment for assessing the model’s performance and effectiveness with an ethanol concentration of 20%, temperature of 80 °C and LSR of 21.4 mL/g. ANOVA assessed the model’s significance, and a second-order polynomial model described the relationships between variables and responses. Diagnostic plots confirmed the model’s adequacy and reliability. The estimated values were 4.11 mg chlorogenic acid equivalents per gram of dry weight (CEA/g), 2.18 mg of rutin equivalents per gram of dry weight (RE/g), and 0.030 mg/mL and 0.030 mg/mL for TPC, TFC, IC50 and EC50, respectively. High-Performance Liquid Chromatography with diode array detection (HPLC-DAD) examination revealed that the prominent substance in the tested extract is rosmarinic acid (46,172 µg/mL), followed by chlorogenic acid (1519 µg/mL).