Response Surface Research Articles

Optimization of process parameters of catalytic pyrolysis using natural zeolite and synthetic zeolites on yield of plastic oil through response surface methodology

Optimization of process parameters of catalytic pyrolysis using natural zeolite and synthetic zeolites on yield of plastic oil through response surface methodology

Design, optimization, simulation, and implementation of a 3D printed soft robotic peristaltic pump

Abstract This study presents an innovative approach to fluidic pumping using soft robotics, designed to circulate fluid through soft conduits for delicate environments like blood streams where traditional peristaltic pumps may not be feasible. A novel soft robotic peristaltic pump is optimized and implemented, featuring 3D printed ring-shaped actuators and a PDMS pipe housing a Newtonian fluid. The design includes a three-stage actuator ring structure, actuated sequentially for peristaltic motion. A parametric finite element model predicts the required pressure, and the Mooney-Rivlin 5 Parameters hyper-elastic material model ensures accurate material properties. Optimization uses response surface analysis in Minitab and MATLAB Simulink Simscape simulations to achieve maximum flow rate with minimal power and pressure. Experimental validation confirms the simulations, achieving an optimal flow rate of 0.27 ml s−1 at a 450 ms cycle, with minor discrepancies due to friction and measurement errors. This study demonstrates the scalability of linearly sequenced soft squeeze actuators into an effective pump, validated by both simulation and experiments. Future applications include medical devices addressing deep venous thrombosis, with further research exploring control theory for optimization and comparing performance with conventional pumps to enhance practical applicability.

Pulsed Electric Field for Quick-Cooking Rice: Impacts on Cooking Quality, Physicochemical Properties, and In Vitro Digestion Kinetics

Pulsed electric field (PEF) is one of the emerging technologies that has been applied in many aspects of the food industry. This study examined the impacts of a PEF on the cooking quality, physicochemical properties, nutritional factors, and in vitro protein and starch digestion of two varieties of rice, including Jasmine 105 (white non-glutinous rice) and San Pa Tong 1 (white glutinous rice). Response surface methodology (RSM) and a three-level, three-factor Box–Behnken design were employed to assess the effects of the pulse number, electric field strength, and frequency on cooking time. The findings demonstrated that the number of pulses was a crucial factor influencing cooking time. Under optimal conditions (3347–4345 pulses, electric field strengths of 6–8 kV/cm, and frequencies ranging from 6 to 15 Hz), the rice cooking time was significantly reduced by 40–50% (p < 0.05) when compared to a conventional method. Moreover, PEF-treated rice showed a significant enhancement in in vitro protein and starch digestibility (p < 0.05), as well as retained a higher content of rapidly digestible starch. These results suggested that PEF treatment is a promising green technology for producing a novel quick-cooking rice with an improved eating quality.

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%.

Efficient CO2 adsorption by deoiled flaxseed hydrochar.

This study optimizes CO2 adsorption using hydrochar from de-oiled flaxseed (FDOP), a waste byproduct of the oil extraction industry, through hydrothermal carbonization (HTC). The aim is to enhance CO2 capture sustainably and cost-effectively. Using Response Surface Methodology (RSM), in optimal conditions achieved 1153.26mg/g CO2 adsorption capacity under 215.15°C synthesis temperature, 3.05h synthesis time, 0.99M acid concentration, 8.997bar pressure, and 25.07°C adsorption temperature. Statistical analysis (F-value: 44.48, R²: 0.9705) confirmed strong model reliability. Kinetic analysis showed both physical and chemical adsorption, while thermodynamic analysis revealed exothermic behavior (ΔH° values: -46.697kJ/mol for M-225, -40.230kJ/mol for MA-203). After 10 regeneration cycles, the adsorption capacity was reduced by only 2.8% and 3.1%, indicating excellent recyclability. This study highlights FDOP-derived hydrochar as a highly efficient, low-cost adsorbent, offering industrial applications for carbon capture and waste management.

Microwave Assisted Biodiesel Production from Waste Cooking Oil Using Steel Slags as Catalyst

AbstractAn innovative catalytic system for biodiesel synthesis starting from waste biomass (waste cooking oil, WCO) in the presence of waste material (steel slags) as the catalyst under microwave irradiation is described. The reaction conditions were optimized by using response surface methodology (RSM) based on Box‐Behnken Design (BBD) taking time, temperature, and catalyst weight as factors. The optimum conditions, leading to 97 % conversion of WCO into FAMEs (fatty acid methyl esters) were found to be: 18 min reaction time, 134 °C and 380 mg of catalyst for 1.0 mL of WCO. The recyclability of the catalyst was tested at different experimental conditions, and by increasing the reaction times for subsequent cycles, the catalytic efficiency remained steady. The alkalinity of both as‐received steel slags and steel slags recovered after three reaction cycles was tested with the Hammett indicator method. The steel slags were also characterized by Scanning Electron Microscopy (SEM), Energy Dispersive X‐ray Fluorescence (ED‐XRF), X‐Ray Diffraction (XRD), Thermogravimetric Analysis (TGA), X‐ray Photoelectron Spectroscopy (XPS).

Establishment of Betalain-Producing Cell Line and Optimization of Pigment Production in Cell Suspension Cultures of Celosia argentea var. plumosa

The prevalence of synthetic colorants in commercial products has raised concerns regarding potential risks, including allergic reactions and carcinogenesis, associated with their use or consumption. Natural plant extracts have gained attention as potential alternatives. This research focuses on callus induction and the establishment of cell suspension cultures from Celosia argentea var. plumosa. Friable callus was successfully induced using hypocotyl explants cultured on semi-solid Murashige and Skoog (MS) medium supplemented with 1 mg/L 2,4-dichlorophenoxyacetic acid (2,4-D) and 0.1 mg/L 6-benzylaminopurine (BAP). The friable callus cell line was used to establish a suspension culture. The effects of sucrose, BAP, and tyrosine concentrations on betalain production were investigated using response surface methodology (RSM) based on central composite design (CCD). Optimal conditions (43.88 g/L sucrose, 0.15 mg/L tyrosine, and 0.77 mg/L BAP) yielded 43.87 mg/L total betalain content after 21 days, representing a threefold increase compared to the control. BAP had a significant positive impact on betalain production, and increasing BAP and sucrose concentrations generally led to higher betalain production. However, tyrosine was not a significant factor for betalain production in cell suspension cultures. Additionally, antioxidant assays showed that suspension-cultured cells (SCCs) under optimized conditions exhibited free radical scavenging activity comparable to that observed in C. argentea var. plumosa flower extract. This study indicates the potential for further research on betalain production using C. argentea var. plumosa cell cultures, which may have commercial applications.

Therapeutic deep eutectic solvent with saponin, optimized through response surface methodology, exert potent in vivo antimicrobial effects against Pseudomonas aeruginosa.

Therapeutic deep eutectic solvents (THEDES) are a type of deep eutectics that can be used as active pharmaceutical ingredients (APIs) by enhancing the drug bioavailability, by increasing the solubility of APIs in aqueous solutions or by increasing their permeability through biological barriers. In this study, we demonstrate the utility of designer THEDES, based on Quillaja Saponin (SAP), a triterpene natural product to unravel the antimicrobial potential of such THEDES. THEDES were prepared by gently mixing and heating five different α- hydroxy acids- malic, citric, tartaric, glycolic, lactic acids and SAP with water as a third component in the THEDES. The antimicrobial assays were performed with the as-prepared SAP-THEDES and among the panel of bacterial strains, saponin-malic acid THEDES [SMA-THEDES] displayed potent activity in disassembling PA biofilms, demonstrating that the SMA-THEDES can serve as therapeutic antibacterial biomaterials. To further optimize, a Box-Behnken- response surface methodology (RSM) experimental design was done and at the optimum conditions of SAP (1.014m.mol), Malic acid (1.003m.mol), Water (0.117m.mol), SMA-THEDES exhibited maximum MIC of P. aeruginosa with the minimum absorbance at 590nm of 0.105. The effectiveness of SMA-THEDES as antibiofilm agents on P. aeruginosa with the mechanism studies have been explored. The colony count from the in vivo infection zebrafish model in the treatment group showed a decline of > 2 fold for SMA-THEDES. Toxicity studies did not reveal any abnormality in liver and brain enzyme levels. Liver morphology images show no severe cytological alterations when treated with SMA-THEDES and were almost similar to the normal liver.

Modeling and optimizing the flotation of coal fines: an investigation utilizing the Box-Behnken design in conjunction with response surface methodology

ABSTRACT This study investigates a novel approach for upgrading coking coal fines by combining wet sieving with flotation. Using a Box-Behnken design and response surface methodology (RSM), we optimized the flotation parameters – collector concentration, pulp density, and frother concentration – to enhance clean coal recovery. Analysis showed that these parameters significantly impacted coal quality and yield. With a fixed pulp density of 10% and an 18% ash target, RSM identified optimal flotation conditions as 0.200 kg/T frother and 0.885 kg/T collector concentrations. The optimal conditions for an 18% ash content were a 6.645% pulp density, 0.200 kg/T frother, and 1.1869 kg/T collector. Under these conditions, clean coal with 18.00% ash content and yields of 34.27% and 39.72% were achieved, with deviations from predicted values under 2%. The study indicates that the RSM-based method is effective, with parameter selection influenced by collector cost and clean coal market price. These findings provide a basis for future research to assess the method’s industrial applicability and economic and environmental viability.

Optimization of working parameters of high-pressure roller mill based on entropy weight method and response surface method.

In order to improve the crushing efficiency of high-pressure roller mill and reduce energy consumption, the optimal parameter combination of high-pressure roller mill is sought, GM160-140 high-pressure roller mill is taken as the research object, and the discrete element simulation calculation model of high-pressure roller mill is established to simulate the crushing process. Taking the roll surface pressure, productivity, and the proportion of discharge particle diameter as the performance evaluation indexes, the simulation data are used to analyze the influence of each working condition parameter of the high-pressure roller mill on its performance law. Through the entropy weighting method to determine the weights of high-pressure roller mill productivity, roll surface pressure, the proportion of discharge particle diameter, and through the extreme difference analysis to get the optimal parameter combination. Minitab software is used to carry out the response surface method (RSM) experimental design, the optimal parameter combinations are derived from the optimization using the response surface apparatus, the optimal parameter combinations derived from the two optimization methods are compared and analyzed, and ultimately it is concluded that the optimization of the response surface is the global optimal, and the optimal parameter combinations are as follows: the roller speed is 2.50rad/s, the roller gap is 28.87mm, and the feed size is 31.97mm, Under the above optimal parameters, the roll surface pressure is 150450.00N, the productivity is 1268.00t/h, the percentage of the material less than 6mm is 58.14%, so as to achieve the purpose of optimizing the parameters of the high-pressure roller mill, It is of significance to save resources and respond to the national green development and intelligent development.

Experimental investigation on in-situ laser-assisted mechanical ruling of single crystal silicon

Abstract In this paper, response surface methodology (RSM) was employed as a robust and convenient predictive tool to establish the correlation between process parameters of in situ laser-assisted mechanical ruling and the ductile-to-brittle transition of single-crystal silicon. The interaction effects among three factors laser power, ruling speed, and negative rake angle on the ductile-to-brittle transition of single-crystal silicon were investigated. The optimal combination of process parameters was determined to be a laser power of 30W, a ruling speed of 0.25 mm s−1, and a negative rake angle of 58°. Utilizing a self-assembled setup and the optimal process parameters, multiple processing experiments were conducted. The average error between the experimental and predicted values was found to be 2.8%.

Optimization strategy of computer numerical control machining process parameters in biomanufacturing mold

With the rapid development of biomanufacturing technology in the medical and pharmaceutical fields, the demand for high-precision and high-quality molds has surged. When Computer numerical control (CNC) machining biomanufacturing molds, the optimization of process parameters becomes the key to improve efficiency and quality. The purpose of this study is to explore the optimization strategy of CNC machining process parameters to achieve the best surface quality, dimensional accuracy and machining efficiency. Through literature review, the spindle speed, feed speed and cutting depth are selected as the key parameters, and the multi-objective optimization model is constructed by response surface method, which is solved by genetic algorithm. The experiment shows that the process parameters of CNC system in mold manufacturing are cutting speed 100 (m/min), feed rate 0.2 (mm/rev) and cutting depth 0.5 (mm), which will effectively reduce the manufacturing cost, and effectively control the alarm times within 35 times in different processing equipment, greatly reduce the risk. The optimization strategy can significantly improve the surface quality and productivity of the mold and reduce the cost. The comparative analysis verifies the effectiveness of the method, which provides new theoretical and technical support for CNC machining in the field of biomanufacturing.

Process Parameters Optimization of Laser Cladding for HT200 with 316L Coating Based on Response Surface Method

Process Parameters Optimization of Laser Cladding for HT200 with 316L Coating Based on Response Surface Method

Determination of Significant Factors and Optimum Condition for Pineapple Leaf Fiber Extraction as Potential Dielectric Material

The aim in this study was to evaluate the most significant factor affecting the extraction of pineapple leaf fibers and to optimize the extraction conditions. The selected four factors of pineapple leaf powder mass, pineapple leaves to distilled water ratio, pulping time, and heating option were analyzed through two-level factorial analysis via Design-Expert software. The optimum conditions were determined using central composite design (CCD) of response surface methodology (RSM). The extracted fibers were analyzed through the Kurschner-Hanack method for cellulose content and were used to produce dielectric materials. The permittivity value of the developed dielectric material was measured through an Agilent vector network analyzer (VNA). The best condition was obtained with a heated sample at 3 g pineapple leaf powder mass, 1:10 PL: DW, and 49.24 min pulping time, which produced 59.25% cellulose content and 2.89 permittivity value. The optimum condition was achieved at 50 min of pulping time and 1000 mL water with 46.84% cellulose content and 2.97 permittivity value. Therefore, based the obtained permittivity value, pineapple leaves could be further explored as potential dielectric materials.

Corrigendum: Microbiome and response surface methodology analyses reveal Acetobacter pasteurianus as the core bacteria responsible for aerobic spoilage of corn silage (Zea mays) in hot and humid areas

Corrigendum: Microbiome and response surface methodology analyses reveal Acetobacter pasteurianus as the core bacteria responsible for aerobic spoilage of corn silage (Zea mays) in hot and humid areas

Valorization of marble sludge waste in biodiesel production using a central composite design.

This work addresses the scarcity of energy resources and environmental issues by concentrating on the synthesis of biodiesel by the transesterification of waste cooking oil with methanol. Marble sludge (MS), a novel heterogeneous catalyst, was used to speed up the rate of reaction. The catalyst's physical and chemical characteristics were thoroughly examined using a variety of methods, including X-ray diffraction, X-ray Fluorescence, SEM, particle size distribution, and BET analysis. Using the MS catalyst, the study investigated the impact of important parameters on the yield of biodiesel from waste cooking oil with the aid of response surface methodology using Design-Expert version 13 software. These parameters included temperature (50-70℃), reaction time (1-4h), catalyst concentration (1-5 wt%), and methanol-to-oil molar ratio (5-20mol/mol). Optimization of the parameters was performed for economic targets to lower the production cost of biodiesel. The results showed that a methanol-to-oil molar ratio of 20:1, a catalyst of 5 wt%, and a reaction time of 1h at 57℃ were the ideal parameters for obtaining a biodiesel yield of 93.5%. The resultant biodiesel revealed promising characteristics, such as a flash point of 160℃, a kinematic viscosity of 4 mm2/s, and a density of 0.871g/cm3. The study demonstrates the significant consequences and real-world advantages of using rational engineering methods to use MS as a very effective, stable, and easily recoverable catalyst for the long-term, sustainable generation of biodiesel from waste cooking oil.

All-natural, hydrophobic, biodegradable cellulose-based straws through simultaneous esterification and filling with stearic acid for cold beverages.

Disposable plastic straws have caused severe environmental pollution because microplastics produced in the degradation process harm human health and marine ecosystems. Paper straws as substitutes need to be incorporated into hydrophobic agents and other chemicals to achieve hydrophobicity, which may be harmful to human health. In this study, a novel and purely natural hydrophobic cellulose-based straw was made from bleached bamboo fibers (BBF) and stearic acid (SA). The prepared straw (BBF/SA@straw) exhibited improved hydrophobicity, biodegradability, and applicability. The water absorption rate was maintained at 58.66 % using single-factor analysis and response surface methodology and the maximum water contact angle was up to 133o. Additionally, the paper straw was almost completely degraded after 50 days in soil. Moreover, it could be used normally in water at 0 °C and 25 °C and was suitable for various beverages (tea, coffee, coke, and milk), demonstrating an extensive application prospect. This work supplies a promising and green alternative to plastic straws, alleviating the burden of white pollution in the environment.

Two‐Phase Extraction, Structural Characterization of the Polysaccharide from Raspberry Pomace and Its Protection Effects against Erythrocyte Hemolysis

AbstractIn present study, a new polysaccharide (RPP) from raspberry pomace is prepared through ultrasound‐assisted aqueous two‐phase extraction (UAATPE) and purification using two‐step column chromatography, the extraction conditions are optimized by response surface method (RSM). Under the optimal parameters: liquid to material ratio of 80 mL g−1, ultrasonic power of 340 W, and ultrasonic time of 39 min, the yield of the polysaccharides is 11.72 ± 0.05%. RPP with average molecular weight (Mw) of 59 300 Da is composed of six monosaccharides. Nuclear magnetic resonance (NMR) analyses confirmed that RPP contains six main glycosidic linkages including α‐l‐Araf‐(1→, →2)‐α‐l‐Rhap‐(1→, →4)‐β‐d‐Manp‐(1→, →4)‐α‐d‐GalAp‐(1→, →3)‐β‐d‐Galp‐(1→, →4)‐β‐d‐Glcp‐(1→. RPP exhibits remarkable protective effects against H2O2‐induced erythrocyte hemolysis, the generations of reactive oxygen species, and malondialdehyde are inhibited, and the activities of glutathione peroxidase and catalase are effectively enhanced. The current findings proved that UAATPE is an effective method to extract the polysaccharide from raspberry pomace and provides a new idea for the utilization of nutrient‐rich raspberry fruit residue.

Preparation of Double-Networked Slow-Expanding Nanomicrospheres and Evaluation of Drive Modulation Performance

Aiming at the problem of excessive swelling of conventional microspheres for oilfield use, a novel amphiphilic polymerizable crosslinker (AE) was synthesized by quaternary ammonium modification of an unstable crosslinker (AE) using acrylamide, 2-acrylamido-2-methylpropanesulfonic acid as the monomers, N,N′-methylene bisacrylamide as the stabilizing crosslinker, ammonium peroxysulfate and sodium bisulfite as the initiator, and water as the solvent by using a reversed microemulsion method. Double-networked nanomicrospheres were prepared. The preparation conditions of the microspheres were optimized by the surface response method, focusing on the effects of the initiator addition and reaction temperature, and total crosslinker addition on the formation of nanomicrospheres. The samples were characterized by FTIR, TGA, laser particle sizer, and SEM to evaluate the retarded expansion performance and the modulation drive performance. The results showed that the optimal conditions for the preparation of microspheres were m(oil phase):m(water phase) = 3:2, stirring speed of 550 r/min, total crosslinking agent dosage of 0.6% (based on the total mass of monomers, hereinafter the same), initiator dosage of 0.30%, reaction temperature of 45 °C, and reaction time of 4 h. Compared with the conventional polymer microsphere PAM, PAE was slow-expanded for 45 d at 60 °C, and the expansion multiplier was about 16 times, with slow-expansion characteristics; the blocking rate of PAE reached 98.3%, the oil repulsion rate was 73.11%, and the increase in the recovery rate could be up to 11.23%. In this paper, a new type of nanomicrosphere material is investigated to realize the efficient implementation of oil field conditioning and driving.

Optimizing Carbon Structures in Laser-Induced Graphene Electrodes Using Design of Experiments for Enhanced Electrochemical Sensing Characteristics.

In this study, we explored the morphological and electrochemical properties of carbon-based electrodes derived from laser-induced graphene (LIG) and compared them to commercially available graphene-sheet screen-printed electrodes (GS-SPEs). By optimizing the laser parameters (average laser power, speed, and focus) using a design of experiments response surface (DoE-RS) approach, binder-free LIG electrodes were achieved in a single-step process. Traditional trial-and-error methods can be time-consuming and may not capture the interactions between all variables effectively. To address this, we focused on linear resistance and substrate delamination to streamline the DoE-RS optimization process. Two LIGs, designated LIG A and LIG B, were fabricated using distinct and optimized laser settings, which resulted in a sheet resistance of 25 ± 2 Ω/sq and 21 ± 1 Ω/sq, respectively. These LIGs, characterized by scanning electron microscopy, Raman spectroscopy, and contact angle analysis, exhibited a highly porous morphology with 13% pore coverage and a contact angle <50°, which significantly increased their hydrophilicity when compared to the GS-SPE. For the electrochemical studies, the oxidation of NO2- ion by the graphene-based working electrodes was investigated, as it allowed for the direct comparison of the LIGs to the GS-SPE. These included cyclic voltammetry, electrochemical impedance spectroscopy, and differential pulsed voltammetry studies, which revealed that LIG electrodes displayed a remarkable 500% increase in peak current during NO2- oxidation compared to the GS-SPE. The LIGs also demonstrated improved stability and sensitivity (420 ± 30 and 570 ± 10 nAμM-1 cm-2) compared to the GS-SPE (73 ± 4 nAμM-1 cm-2) in the oxidation of NO2- ions; however, LIG B was more susceptible to ionic interference than LIG A. These findings highlight the value of applying statistical approaches such as DoE-RS to systematically improve the LIG fabrication process, enabling the rapid production of optimized LIGs that outperform conventional carbon-based electrodes.