Applications of mixture experiments for response surface methodology implementation in analytical methods development

Azcarate, Silvana M.; Pinto, Licarion; Goicoechea, Héctor C.

doi:10.1002/cem.3246

Cited by 19 publications

(5 citation statements)

References 48 publications

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“…‘‘Lack of fit test’’ relates residual error to ‘‘Pure Error’’ from replicate design points. “Lack of Fit F‐value” of 1.73 suggests nonsignificant “Lack of Fit” and a fit model 59 …”

Section: Resultsmentioning

confidence: 99%

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Optimization of feather degradation by a Bacillus thuringiensis isolate using response surface methodology and investigation of the feather protein hydrolysate structure

Elleboudy

Trabik

Aboulwafa

2023

Biotech and App Biochem

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Valorization of chicken feather is a long‐sought approach for its sustainable disposal. Being protein rich, hydrolyzed chicken feather has a wide range of applications, not limited to formulation of microbiological culture media, animal feed, and biofertilizers, but extends to synthesis of bioplastic films, cosmetics, and biomedicals. In this study, a potent keratinolytic isolate was recovered from soil and identified by 16S rRNA as Bacillus thuringiensis. Feather degradation by the isolate was optimized through response surface methodology. First, one‐variable‐at‐a‐time technique to assign the factors that affect feather degradation, then Box–Behnken central composite design model were employed. The model, involving three independent variables (initial pH, inoculum size, and concentration of supplementary glucose), was significant (R2 = 0.9716). According to the model, complete feather degradation is obtained at an inoculum size of B. thuringiensis B4 equal to 1 × 1010 CFU/ml, when feather meal broth is supplemented with 1.5% (w/v) glucose and pH adjusted to 8.5. Protein content of the lysate was 327.8 ± 25 μg/ml, and no carbohydrates were detected. SEM/EDX analysis has shown that the hydrolysate consisted mainly of O, P, S, and Se in addition to carbon, while FTIR images assured the presence of carboxyl and amino groups characteristic of peptides and amino acids.

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Section: Resultsmentioning

confidence: 99%

“…"Lack of Fit F-value" of 1.73 suggests nonsignificant "Lack of Fit" and a fit model. 59 F values and p values were used to assess the significance of each factor (Table 3). p Values <0.05 point to significant model terms.…”

Section: Rsm Model For Optimization Of Process Parametersmentioning

confidence: 99%

Optimization of feather degradation by a Bacillus thuringiensis isolate using response surface methodology and investigation of the feather protein hydrolysate structure

Elleboudy

Trabik

Aboulwafa

2023

Biotech and App Biochem

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“…Response Surface Methodology (RSM) (Azcarate et al, 2020) coupled with Box-Behnken Design (BBD) was used to achieve a four-variable-three-level project according to the results derived from the single-factor experiment (Table 1). The RSM analysis was performed with a Design Expert software version 8.0.6 (Stat-Ease, Inc., Minneapolis, USA).…”

Section: Response Surface Methodology Optimizationmentioning

confidence: 99%

Ultrasound-Assisted Enzymatic Extraction of Polysaccharides from Waste Corn Bract: Process Optimization, Characterization, Antioxidant and Anti-Diabetic Potentials

Liu¹,

Li²,

Niu³

et al. 2022

American Journal of Biochemistry and Biotechnology

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Corn bract is the main agricultural waste of corn production and processing. Little information is focused on its value-added utilization. In the present study, the Ultrasound-Assisted Enzymatic Extraction (UAEE) was used for the first time to extract Corn Bract Polysaccharides (CBPs). The optimum conditions of UAEE for CBPs extraction were: Cellulase amount of 0.7%, enzymolysis for 58 min, and ultrasound treatment for 30 min at 729 W, under which the CBPs yield reached 1.17±0.06%, significantly higher than other methods. CBPs are composed of ribose, rhamnose, glucuronic acid, galacturonic acid, glucose, galactose, xylose, arabinose, and fructose at molar ratios of 3.82: 4.

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“…The BBD specifies the set of experimental trials to be conducted using N= 2k(k − 1) + Cp, where k denotes the number of data points and Cp signifies the central point. 30,31 In accordance with the BBD model, 15 experimental trials were executed with three variables (factors): boron (wt %) (A), silane (wt %) (B), and ultrasound power (W) (C). The range of independent variables has been outlined in Table S1 the optimization process, and highlighting factor variations that yield the desired response that can be achieved.…”

Section: Design Of Experimental Materials (Doe)mentioning

confidence: 99%

Stability Assessment of Ultrasound-Assisted Dispersion of Boron as a High-Energy-Density Particle in Hydrocarbon Fuel: A Response Surface Methodology Approach

Pregnapuram,

Sonawane,

Suranani

2024

Ind. Eng. Chem. Res.

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The current studies elucidate the surface functionalization of boron particles to enhance dispersion stability. The boron particles were chosen because of their high gravimetric and volumetric calorific values. These particles were tailored by silane modification and dispersed into liquid hydrocarbon fuel to enhance the energy content. The experimental trials were done to demonstrate the stability of particles based on the response surface methodology (RSM) to optimize the response by varying factors such as the composition of (A) boron particles and (B) silane with (C) ultrasound power to obtain a stable dispersion of the fuel slurry. The Box−Behnken design was chosen for the response surface experiments. As a result, the spectroscopic, crystallographic, and morphological characteristics revealed interesting corroboration effects in enhancing the stability of boron particles for various compositions with the hydrocarbon fuel. The optimized conditions for retaining fuel slurry with maximum stability at an ultrasound power of 195.5 W for 3-glycidyloxypropyltrimethoxysilane concentration and boron particle concentration were 0.625 and 3 wt %, respectively, to obtain 72 h of stability. The second-order polynomial quadratic equation determines the stability and R 2 = 0.9949. The RSM has facilitated the determination of practical optimal values for various research variables, providing valuable insights into their interactions. This model is adequate, statistically validated, effective, and logically reliable and also minimizes the cost for conducting the experimental trial runs.

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Applications of mixture experiments for response surface methodology implementation in analytical methods development

Cited by 19 publications

References 48 publications

Optimization of feather degradation by a Bacillus thuringiensis isolate using response surface methodology and investigation of the feather protein hydrolysate structure

Optimization of feather degradation by a Bacillus thuringiensis isolate using response surface methodology and investigation of the feather protein hydrolysate structure

Ultrasound-Assisted Enzymatic Extraction of Polysaccharides from Waste Corn Bract: Process Optimization, Characterization, Antioxidant and Anti-Diabetic Potentials

Stability Assessment of Ultrasound-Assisted Dispersion of Boron as a High-Energy-Density Particle in Hydrocarbon Fuel: A Response Surface Methodology Approach

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