Optimization and validation of process parameters via
            <scp>RSM</scp>
            for minimizing use of resources to generate electricity from a
            <scp>DEFC</scp>

Choudhary, Abhay Kumar; Pramanik, Hiralal

doi:10.1002/er.7126

Cited by 8 publications

(3 citation statements)

References 54 publications

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“…In addition, the difference between the predicted (68.98%) and experimental (66.49%) values had a 3.74% error, which was within the acceptable range (5% error). Therefore, the experimental model was accurate within the 95% prediction interval (Choudhary & Pramanik, 2021). The IC 50 of TCH produced under the optimal conditions was 1.52 mg/mL (1.37 µmol Trolox/mg protein), which is comparable to that of skipjack tuna (K. pelamis) dark meat hydrolysate (1.1 mg/mL) when optimized by RSM (Mongkonkamthorn et al, 2021).…”

Section: Optimization Of the Hydrolysis Conditionsmentioning

confidence: 74%

Optimization and production of protein hydrolysate containing antioxidant activity from tuna cooking juice concentrate by response surface methodology

Kiettiolarn¹,

Kitsanayanyong²,

Maneerote³

et al. 2022

Fish Aquat Sci

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To optimize the hydrolysis conditions in the production of antioxidant hydrolysates from tuna cooking juice concentrate (TC) to maximize the 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity, TC containing 48.91% protein was hydrolyzed with Alcalase 2.4 L, and response surface methodology (RSM) was applied. The optimum hydrolysis conditions included a 2.2% (w/v) Alcalase concentration and 281 min hydrolysis time, resulting in the highest DPPH radical scavenging activity of 66.49% (0.98 µmol Trolox/mg protein). The analysis of variance for RSM showed that hydrolysis time was an important factor that significantly affected the process (p < 0.05). The effects of different drying methods (freeze drying, hot air drying, and vacuum drying) on the DPPH radical scavenging activity and amino acid (AA) profiles of TC hydrolysate (TCH) were evaluated. Vacuum-dried TCH (VD) exhibited an increase in DPPH radical scavenging activity of 81.28% (1.20 µmol Trolox/mg protein). The VD samples were further fractionated by ultrafiltration. The AA profiles and antioxidant activities in terms of the DPPH radical scavenging activity, 2,2'-azino-bis(3-ethylbenzthiazoline)-6-sulfonic acid (ABTS) radical scavenging activity, ferric reducing antioxidant power, and ferrous ion chelating activity were investigated. Glutamic acid, glycine, arginine, and cysteine were the major AAs found in the TCH fractions. The highest DPPH radical scavenging activity was found in the VD-1 fraction (< 5 kDa). The VD-3 fraction (> 10 kDa) exhibited the highest ABTS radical scavenging activity and ferric reducing antioxidant power. The ferrous ion chelating activity was the highest in VD-1 and VD-2 (5 to 10 kDa). In conclusion, this study provided the optimal conditions to obtain high antioxidant activities through TCH production, and these conditions could provide a basis for the future application of TCH as a functional food ingredient.

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Section: Optimization Of the Hydrolysis Conditionsmentioning

confidence: 74%

Optimization and production of protein hydrolysate containing antioxidant activity from tuna cooking juice concentrate by response surface methodology

Kiettiolarn¹,

Kitsanayanyong²,

Maneerote³

et al. 2022

Fish Aquat Sci

View full text Add to dashboard Cite

show abstract

“…To verify and confirm the agreement between the optimum results obtained from the model and the actual values, three new confirmation experiments were carried out under the suggested optimal conditions, using the same extraction procedure, and the results are presented in Table 5 (Choudhary & Pramanik, 2021). The average oil yields that were obtained from the extraction using ethanol, n-hexane, and the mixture were 20.52 ± 0.65%, 17.23 ± 0.12%, and 18.02 ± 0.52%, respectively, while the predicted oil yields were 20.10%, 17.39%, and 18.99%, respectively.…”

Section: Model Validationmentioning

confidence: 92%

Optimization of solvent extraction conditions of Cambodian soybean oil using response surface methodology

Mich

Kong²,

Say³

et al. 2023

jftr

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The conventional solvent extraction (CSE) method is commonly used to extract oil from oilseeds. Even though the extraction of oil from soybean seeds using the CSE method has been studied extensively, the application of response surface methodology (RSM) has not yet been widely explored. In this paper, the CSE method was employed using three different types of solvents – ethanol (Eth), n-hexane (Hex), and a mixture of Hex:Eth in a ratio of 2:1 – and optimized using RSM to extract the oil from Cambodian soybean seeds. For each solvent, a central composite design (CCD) was applied to optimize the extraction conditions, such as the extraction times (15, 30, and 45 min) and solvent-to-solid ratios (5:1, 10:1, and 15:1 mL/g). This CCD generated 11 experimental runs for each type of solvent. The optimum oil yields when using ethanol, Hex:Eth, and n-hexane were 20.53%, 18.78%, and 17.39%, respectively. The optimum condition was obtained at 15 min extraction time and 15:1 (mL/g) solvent-to-solid ratio for all solvent types. The coefficients of determination of ethanol, Hex:Eth, and n-hexane were 0.9710, 0.9954, and 0.9263, respectively, which mathematically indicated a good model for the prediction. Therefore, the model was considered accurate and reliable for predicting oil yields in this study.

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“…The actual/ experimental power density (2.76 mW/cm 2 ) and predicted power density (2.79 mW/cm 2 ) showed an insignificant divergence of only 1.07%. Choudhary et al (2021) [31] optimized the process parameters of direct ethanol fuel cell using RSM with BBD to maximise response, i.e., power density, where the key operating variables were ethanol concentration, anode electrocatalyst loading, and operating temperature. The RSM model yielded a maximum peak power density of 22.10 mW/cm 2 , which was confirmed experimentally with the optimized parameters of 2.03 M ethanol concentration, 1.14 mg/cm 2 anode electrocatalyst loading, and 79.48 o C operating temperature.…”

Section: Introductionmentioning

confidence: 99%

Process Parameter Optimization via RSM of a PEM based Water Electrolysis Cell for the Production of Green Hydrogen

Reddy,

Pramanik

2024

J. Electrochem. Sci. Technol

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In the present work, the operating parameters were optimized using Box Behnken Design (BBD) in response surface methodology (RSM) to maximize the hydrogen production rate (R 1 ) and hydrogen production rate per unit watt consumed (R 2 ) of a proton exchange membrane electrolysis cell (PEMEC), a third response (R 3 ) which was the sum of the scaled values of R 1 and R 2 were selected to be maximized so that both hydrogen production rate and hydrogen production rate per unit watt consumed could be maximized. The major parameters which were influencing the experiment for enhancing the output responses were oxygen electrode/anode electrocatalyst loading (A), current supplied (B) and water inlet temperature (C). The commercial proton exchange membrane Nafion ® was used as the electrolyte. The acetylene black carbon (C AB ) supported IrO 2 was used as the electrocatalyst for preparing oxygen electrode/anode whereas commercial Pt (40 wt%)/C HSA was used as the H 2 electrode/cathode electrocatalyst. The quadratic model was developed to predict the output/ responses and their proximity to the experimental output values. The developed model was found to be significant as the P values for both the responses were < 0.0001 and F values were greater than 1. The optimum condition for both the responses were O 2 electrode/anode electrocatalyst loading of 1.78 mg/cm 2 , supplied current of 0.33 A and water inlet temperature of 54 o C. The predicted values for hydrogen production rate (R 1 ) and hydrogen production rate per unit watt consumed (R 2 ) were 2.921 mL/min and 2.562 mL/(min•W), respectively obtained from the quadratic model. The error % between the predicted response values and experimental values were 1.47% and 3.08% for R 1 and R 2, respectively. This model predicted the optimum conditions reasonably in good agreement with the experimental conditions for the enhancement of the output responses of the developed PEM based electrolyser.

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Optimization and validation of process parameters via RSM for minimizing use of resources to generate electricity from a DEFC

Cited by 8 publications

References 54 publications

Optimization and production of protein hydrolysate containing antioxidant activity from tuna cooking juice concentrate by response surface methodology

Optimization and production of protein hydrolysate containing antioxidant activity from tuna cooking juice concentrate by response surface methodology

Optimization of solvent extraction conditions of Cambodian soybean oil using response surface methodology

Process Parameter Optimization via RSM of a PEM based Water Electrolysis Cell for the Production of Green Hydrogen

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