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Journal articles on the topic 'RESPONCE SURFACE METHODOLOGY'

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Author: Grafiati

Published: 11 September 2023

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1

Jin, J., X. Wang, Y. Han, Y. Cai, Y. Cai, H. Wang, L. Zhu, L. Xu, L. Zhao, and Z. Li. "Combined beef thawing using response surface methodology." Czech Journal of Food Sciences 34, No. 6 (December 21, 2016): 547–53. http://dx.doi.org/10.17221/138/2016-cjfs.

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Based on four thawing methods (still air, still water, ultrasonic wave, and microwave) and single-factor tests, we established a four-factor three-level response surface methodology for a regression model (four factors: pH, drip loss rate, cooking loss rate, protein content). The optimal combined thawing method for beef rib-eye is: microwave thawing (35 s work/10 s stop, totally 170 s) until beef surfaces soften, then air thawing at 15°C until the beef centre temperature reaches –8°C, and finally ultrasonic thawing at 220 W until the beef centre temperature rises to 0°C. With this method, the drip loss rate is 1.9003%, cooking loss rate is 33.3997%, and protein content is 229.603 μg, which are not significantly different from the model-predicted theoretical results (P ≥ 0.05).

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2

Manuel, Jeremia, Raffi Paramawati, and Maria D. P. Masli. "UTILIZATION OF RESPONSE SURFACE METHODOLOGY IN THE OPTIMIZATION OF ROSELLE ICE CREAM MAKING [Penggunaan Response Surface Methodology dalam Optimisasi Pembuatan Es Krim Rosella]." Jurnal Teknologi dan Industri Pangan 25, no. 2 (December 2014): 125–33. http://dx.doi.org/10.6066/jtip.2014.25.2.125.

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3

Dube, Vinitkumar Dilipkumar. "Optimization of Biodiesel (MOME) Using Response Surface Methodology (RSM)." International journal of Emerging Trends in Science and Technology 04, no. 11 (November 13, 2016): 4736–41. http://dx.doi.org/10.18535/ijetst/v3i11.02.

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4

Doti, Baqe, Daudi Nyaanga, Samwel Nyakach, Jane Nyaanga, and Oscar Ingasia. "Biochar production and quality optimization using response surface methodology technique." Applied Research Journal of Environmental Engineering 4, no. 1 (March 31, 2022): 1–16. http://dx.doi.org/10.47721/arjee20220401011.

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The dependency on fossil fuels can be reduced by the use of renewable energy sources like biomass and it can make a remarkable contribution to the reduction of CO2 emissions and as a result reducing the carbon footprint hence eliminating the greenhouse gas effect. Biomass materials that go to waste can be recovered through the pyrolysis process in order to produce biochar which can be used as a source of energy for cooking. The aim of this study was to carry out optimization of biochar production and quality using the Response Surface Methodology technique. The parameters varied were feedstock moisture content (FMC) (10%, 15% and 20%), pyrolysis residence time (PRT) (in minutes) 90, 135 and 180 and chimney inclination angle (CIA) (30o, 45o and 60o). An experimental insulated metallic carbonization kiln (1 m high and 0.5 m diameter) was developed and used. Response Surface Methodology technique by using Box-Behnken Design was used to develop a mathematical equation to predict the production and quality of the biochar with respect to varied parameters which was later optimized to determine the optimal conditions for biochar production and quality. The biochar quality was based on its moisture content (MC), volatile matter (VM), ash content (AC), fixed carbon (FC) and pH. The combined optimal conditions were 10% feedstock moisture content, 126.93 min pyrolysis residence time and 30o chimney inclination angle resulting to production of 44.35%, MC = 3.82%, VM = 23.52%, AC = 2.94%, FC = 67.89% and pH = 9.28. The mathematical equation developed had composite desirability (CD) of 0.9490 at a p-value≤0.05 which made it viable. These research findings are of importance since optimization reduces the wastage of resources resulting into increase in the efficiency of the pyrolysis system. Keywords: Renewable Energy, Pyrolysis, Biochar, Optimization, Response Surface Methodology

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5

Yaguas, Orlando José. "Metodología de superficie de respuesta para la Optimización de una producción agrícola." Revista Ingeneria Industrial 16, no. 2 (August 1, 2017): 205–22. http://dx.doi.org/10.22320/s07179103/2017.13.

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6

Zhang, Q., Y. Lin, S. Shen, Z. Xing, and X. Ruan. "Simulation and Optimization on Cellulase Immobilization Using Response Surface Methodology." International Journal of Environmental Science and Development 6, no. 9 (2015): 664–67. http://dx.doi.org/10.7763/ijesd.2015.v6.677.

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7

Aruna, M. "Optimization of Parameters for Student Assessment Using Response Surface Methodology." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (October 31, 2019): 1492–97. http://dx.doi.org/10.5373/jardcs/v11sp10/20192994.

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8

M, Aruna, and Rashmi Rani. "Optimization of Parameters for Student Assessment Using Response Surface Methodology." Journal of Advanced Research in Dynamical and Control Systems 11, no. 11-SPECIAL ISSUE (February 20, 2019): 540–45. http://dx.doi.org/10.5373/jardcs/v11sp11/20193064.

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9

Yumnam, S. "OPTIMIZATION OF TANNASE POSITIVE PROBIOTIC PRODUCTION BY SURFACE RESPONSE METHODOLOGY." Biotechnologia acta 7, no. 5 (2014): 62–70. http://dx.doi.org/10.15407/biotech7.05.062.

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10

Park, Kwon Hyun, Min Soo Heu, and Jin-Soo Kim. "Development of Salted Semi-dried Common Gray Mullet Mugil cephalus using Response Surface Methodology." Korean Journal of Fisheries and Aquatic Sciences 48, no. 6 (December 31, 2015): 839–48. http://dx.doi.org/10.5657/kfas.2015.0839.

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11

Hussain, Sarfraz, Salim-ur Rehman, Qaisar Raza, Itrat Fatima, Syeda Mahvish Zahra, Farhat Rashid, and Ayesha Rafique. "Optimization of sensory properties of chemically preserved Mushrooms through response surface methodology." International Journal of Scientific Innovations 01, no. 01 (December 31, 2017): 006–14. http://dx.doi.org/10.32594/ijsi.2017.0102.

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12

Cynthia. S. J, Cynthia S. J., and John Don Bosco. S. "Process Optimization for Tamarindus Indica. L Pulp Extraction Using Response Surface Methodology." International Journal of Scientific Research 2, no. 4 (June 1, 2012): 183–85. http://dx.doi.org/10.15373/22778179/apr2013/64.

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13

PRAJINA N V, PRAJINA N. V., and T. D. JOHN T D JOHN. "Multi Response Optimization of Cutting Forces in End Milling Using Response Surface Methodology and Desirability Function." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 126–30. http://dx.doi.org/10.15373/22778179/may2013/45.

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14

Yusa Ali, Dego, Purnama Darmadji, and Yudi Pranoto. "OPTIMASI NANOENKAPSULASI ASAP CAIR TEMPURUNG KELAPA DENGAN RESPONSE SURFACE METHODOLOGY DAN KARAKTERISASI NANOKAPSUL." Jurnal Teknologi dan Industri Pangan 25, no. 1 (June 2014): 23–30. http://dx.doi.org/10.6066/jtip.2014.25.1.23.

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15

Kumar, Dr N. Mahesh, and Mr P. Chinna Rao. "Optimization of EDM Process Parameters using Response Surface Methodology for AISI D3 Steel." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 1651–56. http://dx.doi.org/10.31142/ijtsrd23535.

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16

Shim, Hee-Jin, Je-Min Lee, Min-Tae Kim, Kook-Jin Jang, and Jung-Kyu Kim. "OS4-8-5 Optimization of Brazed Joint Parameters Using Dual Response Surface Methodology." Abstracts of ATEM : International Conference on Advanced Technology in Experimental Mechanics : Asian Conference on Experimental Mechanics 2007.6 (2007): _OS4–8–5–1—_OS4–8–5–5. http://dx.doi.org/10.1299/jsmeatem.2007.6._os4-8-5-1.

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17

P.B.Wagh, P. B. Wagh, Dr R. R. Deshmukh Dr. R.R.Deshmukh, and R. D. Gurav R.D.Gurav. "Mathematical Modeling and Process Parameters Optimization for Surface Roughness in Edm for En31 Material by Response Surface Methodology." Indian Journal of Applied Research 3, no. 10 (October 1, 2011): 1–3. http://dx.doi.org/10.15373/2249555x/oct2013/50.

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18

Wahyono, Agung, Elly Kurniawati, Kasutjianingati Kasutjianingati, Kang-Hyun Park, and Woo-Won Kang. "OPTIMASI PROSES PEMBUATAN TEPUNG LABU KUNING MENGGUNAKAN RESPONSE SURFACE METHODOLOGY UNTUK MENINGKATKAN AKTIVITAS ANTIOKSIDANNYA." Jurnal Teknologi dan Industri Pangan 29, no. 1 (June 2018): 29–38. http://dx.doi.org/10.6066/jtip.2018.29.1.29.

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19

Khotchapong, Wiraya, and Niramol Punbusayakul. "Optimization of the infeed formula for spent coffee ground extract encapsulation using the response surface methodology." Journal on Processing and Energy in Agriculture 23, no. 3 (2019): 108–12. http://dx.doi.org/10.5937/jpea1903108k.

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20

Shibata, Mario. "Response Surface Methodology." Nippon Shokuhin Kagaku Kogaku Kaishi 60, no. 12 (2013): 728–29. http://dx.doi.org/10.3136/nskkk.60.728.

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21

Myers, Raymond H., and Douglas C. Montgomery. "Response Surface Methodology." IIE Transactions 28, no. 12 (December 1996): 1031–32. http://dx.doi.org/10.1080/15458830.1996.11770760.

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22

Copeland, Karen A. F. "Response Surface Methodology." Journal of Quality Technology 28, no. 2 (April 1996): 262. http://dx.doi.org/10.1080/00224065.1996.11979672.

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23

Khuri, André I., and Siuli Mukhopadhyay. "Response surface methodology." Wiley Interdisciplinary Reviews: Computational Statistics 2, no. 2 (March 2010): 128–49. http://dx.doi.org/10.1002/wics.73.

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24

Ainy Hafeez, Ainy Hafeez, Syed Mohsin Ali Kazmi Syed Mohsin Ali Kazmi, Muhammad Sulaiman Muhammad Sulaiman, and Chaudhry Haider Ali and Nadeem Feroze Chaudhry Haider Ali and Nadeem Feroze. "Optimization of Zinc Ions Removal by Modified Phoenix Dactylifera L. Seeds Using Response Surface Methodology." Journal of the chemical society of pakistan 41, no. 1 (2019): 78. http://dx.doi.org/10.52568/000719/jcsp/41.01.2019.

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The current study investigates the role of Phoenix Dactylifera L. (date palm) seeds as an effective biosorbent for removing Zn+2, a toxic heavy metal pollutant usually found in the waste streams of industries like fertilizer, mining and galvanizing etc. Date palm seeds were washed, dried, crushed in 170-300 um and modified by acidic treatment (0.1 MHNO3). The effect of most important parameters i.e., pH (3.5-6.1), initial zinc ion concentration (5-100mg/l), biosorbent dosage (0.1-1g) and contact time (0.5-60sec) have been studied via design expert software (version 8.0.6) of response surface methodology. The Box-Bhenken Design (BBD) was used in Response Surface Methodology (RSM) for designing the experiments and a number of 29 experiments were run. The model suggested by the design expert software was quadratic as it had maximum R2- value (0.9235) which indicated that the predicted values of quadratic model were best fitted to the experimental values. The significance of the factors was indicated by Analysis of Variance (ANOVA). The results showed that the metal uptake increased by increasing initial zinc concentration and decreasing in biosorbent dosage and pH while the contact time had negligible effect on the response surface. The parameters were numerically optimized and the optimum input parameters obtained were pH = 3.52, initial zinc ion concentration = 59.11ppm, biosorbent dosage = 0.1g and contact time = 60min with a metal uptake of 26.84mg/g. Therefore, (Phoenix Dactylifera L.) seeds substantially removed zinc ions under optimum conditions.

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25

Gopalsamy, Vijayan, Ramalingam Senthil, Muthukrishnan Varatharajulu, and Rajasekaran Karunakaran. "Application of Response Surface Methodology to Predict the Optimized Input Quantities of Parabolic Trough Concentrator." International Journal of Renewable Energy Development 9, no. 3 (July 5, 2020): 393–400. http://dx.doi.org/10.14710/ijred.2020.30092.

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This work carries out a numerical investigation on aluminum oxide/de-ionized water nanofluid based shield-free parabolic trough solar collector (PTSC) system to evaluate, validate, and optimize the experimental output data. A numerical model is developed using response surface methodology (RSM) for evaluation (identifying influencing parameters and its level) and single objective approach (SOA) technique of desirability function analysis (DFA) for optimization. The experimental data ensured that global efficiency was enhanced from 61.8% to 67.0% for an increased mass flow rate from 0.02 kg/s to 0.06 kg/s, respectively. The overall deviation between experimental and numerical is only 0.352%. The energy and exergy error is varied from 3.0% to 6.0%, and the uncertainty of the experiment is 3.1%. Based on the desirability function analysis, the maximum and minimum efficiencies are 49.7% and 84.9%, as per the SOA technique. This numerical model explores the way to enhance global efficiency by 26.72%.©2020. CBIORE-IJRED. All rights reserved

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26

Srivastava, N. K., S. S. Parhi, M. K. Jha, and T. R. Sreekrishnan. "Optimization of effect of pre-treatment on Chromium removal by algal biomass using Response Surface Methodology." International Journal of Engineering Research 3, no. 3 (March 1, 2014): 167–71. http://dx.doi.org/10.17950/ijer/v3s3/308.

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27

Song, Cuina, Liping Zhu, Yanchun Shao, and Fusheng Chen. "Enhancement of GABA content in Hongqu wine by optimisation of fermentation conditions using response surface methodology." Czech Journal of Food Sciences 39, No. 4 (August 29, 2021): 297–304. http://dx.doi.org/10.17221/47/2021-cjfs.

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γ-aminobutyric acid (GABA) is an important inhibitory neurotransmitter in the human body, but its content decreases with age. So it is suitable to supplement the body's GABA from diet. Hongqu wine is popular because of the addition of Monascus strains in the saccharification process, which makes the wine rich in functional ingredients such as GABA, and monacolin K. In this study, the fermentation parameters of Hongqu wine were optimised to maximise the GABA content through response surface methodology (RSM). The optimal conditions were as follows: 500 g of steamed rice was mixed with 115.4% of boiled water containing 10 g of sodium glutamate and adjusted to pH 3.8 with lactic acid, and then 32% of Hongqu seed inoculum was added. After 5 days of fermentation at 28 °C, 1.5 g of activated yeast was inoculated for ethanol fermentation at 30 °C for 5 days. Finally, the average content of GABA in Hongqu wine amounted to 710.24 mg L<sup>–1</sup>, which is close to the value predicted by RSM model (692.44 mg L<sup>–1</sup>), indicating the statistical fit is good. This provided technical support and theoretical guidance for the production of Hongqu wine rich in GABA by two-stage fermentation.

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28

Herceg, Z., E. Juraga, B. Sobota-Šalamon, and A. Režek-Jambrak. "Inactivation of mesophilic bacteria in milk by means of high intensity ultrasound using response surface methodology." Czech Journal of Food Sciences 30, No. 2 (March 9, 2012): 108–17. http://dx.doi.org/10.17221/93/2011-cjfs.

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High-intensity ultrasound was used to investigate the inactivation of microorganisms in raw bovine milk. Raw bovine milk with 4% of milk fat was treated with ultrasonic probe that was 12 mm in diameter and with 20 kHz frequency immerged in milk directly. In the ultrasound treatment, three parameters were varied according to the statistical experimental design. The centre composite design was used to design and optimise the experimental parameters: temperature (20, 40, and 60°C), amplitude (120, 90, and 60 µm), and time (6, 9, and 12 min). All analyses were performed immediately after sonication and after 3 days and 5 days of storage under refrigeration at 4°C. The factors that seem to affect substantially the inactivation of microorganisms in using ultrasound are the amplitude of the ultrasonic waves, the exposure/contact time with the microorganisms, and the temperature of the treatment. The results achieved indicate a significant inactivation of microorganisms under longer periods of the treatment with ultrasonic probe, particularly in combination of higher temperature and amplitude. The output optimal value of total bacteria count was defined by Statgraphics where the lowest bacteria count was 3.688 log CFU/ml for the following specific ultrasound parameters: amplitude 120 μm, treatment time 9.84 min, and temperature 45.34°C.  

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29

Basavaraju, Girish, and Ravishankar Rajanna. "Flow Process Development and Optimization of A Suzuki-Miyaura Cross Coupling Reaction using Response Surface Methodology." Bulletin of Chemical Reaction Engineering & Catalysis 15, no. 3 (July 25, 2020): 604–16. http://dx.doi.org/10.9767/bcrec.15.3.8229.604-616.

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A custom-made tubular flow reactor was utilized to develop a mathematical model and optimize the Suzuki-Miyaura cross coupling reaction. In this study, the experimentation was designed and executed through the statistical design of experiments (DoE) approach via response surface methodology. The effect of molar ratios of phenylboronic acid (1) and 4-bromophenol (2), temperature, the catalyst tetrakis(triphenylphosphine)palladium, and equivalence of aqueous tripotassium phosphate was studied in detail. The flow reactor profile was in good agreement with batch conditions and significant improvements to the overall reaction time and selectivity towards desired [1-1-biphenyl]-4-ol (3) was achieved. The Suzuki coupling reaction in batch condition would take on an average of 4 to 6 hours to complete, which was effectively accomplished in 60 to 70 minutes in this tubular reactor setup and could be operated continuously. The reaction model is in good agreement with the reaction conditions. Copyright © 2020 BCREC Group. All rights reserved

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30

Kusworo, Tutuk Djoko, Bayu Aji Pratama, and Dhea Putri Safira. "Optimization of Bio-oil Production from Empty Palm Fruit Bunches by Pyrolysis using Response Surface Methodology." Reaktor 20, no. 1 (March 13, 2020): 1–9. http://dx.doi.org/10.14710/reaktor.20.1.1-9.

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The need for fuel oil continues to increase in line with the increasing number of human populations and the growth rate of dependence on fuel oil. Bio-oil is a condensed-liquid mixture that results from the thermal derivation of biomass containing hemicellulose, lignin, and cellulose. This research developed an optimization of the operation condition of bio-oil from empty palm fruit bunches (OPEFB) using a modified pyrolysis reactor. The temperature and mass of empty palm fruit bunches were the two parameters considered in this study. Optimization was carried out on process parameters using the surface response methodology (RSM) and variance analysis (ANOVA). The significance of the different parameters and the effect of the relationship between parameters on the bio-oil yield is determined using a full factorial central composite design. The optimal operation condition of pyrolysis was found to be 570.71 oC, and the mass of empty palm fruit bunch 420.71 gr. Predictions from the optimum variable of operating conditions produce a bio-oil yield of 5.58%. The actual bio-oil yield on the optimum condition that was be validated is 5.6 %. The chemical composition of bio-oil obtained was evaluated by GCMS to ensure its characterization as a fuel.Keywords: Empty palm fruit bunches, Bio-oil, Pyrolysis, Response Surface Methodology, Optimization

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31

Dutta, Suvanka, Ananya Ghosh, Sankar Chandra Moi, and Rajnarayan Saha. "Application of Response Surface Methodology for Optimization of Reactive Azo Dye Degradation Process by Fenton’s Oxidation." International Journal of Environmental Science and Development 6, no. 11 (2015): 818–23. http://dx.doi.org/10.7763/ijesd.2015.v6.705.

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32

Keskin, H., D. Koçak, F. Göğüş, and S. Fadıloğlu. "Enzymatic acidolysis of triolein with palmitic and caprylic acids: Optimization of reaction parameters by response surface methodology." Grasas y Aceites 63, no. 3 (July 5, 2012): 274–83. http://dx.doi.org/10.3989/gya.011012.

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33

Somnuk, Krit, Pichai Eawlex, Jarernporn Thawornprasert, and Gumpon Prateepchaikul. "High Intensity Ultrasound Assisted Transesterification of Espresso Coffee Oil Methyl Ester: Optimization through Response Surface Methodology Approach." International Journal of Chemical Engineering and Applications 11, no. 2 (April 2020): 48–52. http://dx.doi.org/10.18178/ijcea.2020.11.2.778.

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34

Na, Xian, and Hu Guohua. "Effects of xanthan gum and corn flour on the quality of sponge cake using response surface methodology." Czech Journal of Food Sciences 36, No. 4 (September 3, 2018): 344–51. http://dx.doi.org/10.17221/476/2016-cjfs.

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Effects of partial replacement of wheat flour with corn flour (2.93–17.07%) blended with xanthan gum (0.1172–0.6828%) on physical properties, textural and sensory characteristics of sponge cakes were evaluated by response surface methodology (RSM). The significant regression models (P ≤ 0.05) were established to explain the influence of corn flour and xanthan (Xan) on the dependent variables and optimize the formulation. Xanthan significantly increased moisture content, hardness and chewiness, but it decreased specific volume and springiness (P ≤ 0.001). Corn flour had significant positive effects on specific volume, hardness, springiness, colour and overall acceptability (P ≤ 0.05). Hence corn flour and xanthan significantly improved the baking quality of sponge cakes (P ≤ 0.05) and thereby augmented the potential for using wheat-corn blend flours in cake baking. Based on RSM optimisation, a balance between amounts of corn flour (12.7%) and xanthan (0.416%) led to products with desired physical properties and acceptable sensory quality.

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35

Xu, Jingshui, Haiying Yang, Chaoyi Zhang, and Chuyi Liu. "Optimised preparation and characterisation of lotus root starch oxidised with sodium hypochlorite (NaOCl) using response surface methodology." Czech Journal of Food Sciences 40, No. 1 (February 24, 2022): 61–68. http://dx.doi.org/10.17221/22/2021-cjfs.

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In this paper, response surface methodology (RSM) was used to study the optimised process conditions of lotus root starches modified by treatment with sodium hypochlorite (NaOCl). Based on the Box-Behnken design, quadratic models were developed to correlate the reaction variables. Analysis of variance (ANOVA) revealed that the active chlorine content was the most significant variable for the response. Under the experimental conditions in this paper, the calculated carboxyl content (CN<sub>COOH</sub>) of obtained samples was approximately 0.98% ± 0.02% (n = 5). The spectra of Fourier transform infrared (FTIR) spectroscopy displayed that the formation of carboxyl groups successfully occurred on the oxidised lotus root starches. Scanning electron microscope (SEM) analysis showed that the oxidised lotus root starch (CN<sub>COOH</sub>, 0.98%) granules were mostly spherical in shape and their surfaces were slightly rougher than those of native lotus root starch. This work may contribute to providing technical support and theoretical guidance for the production of oxidised lotus root starches using NaOCl as an oxidising agent.

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36

Cheng, A., H. Yan, C. Han, X. Chen, W. Wang, Ch Xie, J. Qu, Z. Gong, and X. Shi. "Acid and alkaline hydrolysis extraction of non-extractabke polyphenols in blueberries optimisation by response surface methodology ." Czech Journal of Food Sciences 32, No. 3 (June 11, 2014): 218–25. http://dx.doi.org/10.17221/257/2013-cjfs.

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Polyphenols, including extractable polyphenols (EPP) and non-extractable polyphenols (NEPP), are natural and secondary metabolic substances in plants that have beneficial properties to human health. However, NEPP associated with dietary fiber and protein are not taken into account in most literature data. In this paper, NEPP were released from blueberries with acid or alkaline hydrolysis methods, and the related extraction conditions were determined and optimised by response surface methodology (RSM). The results showed that NEPP yield obtained with alkaline hydrolysis was much higher than that obtained with acid treatment. The NEPP yield in alkaline hydrolysis process was significantly affected by the NaOH concentration and liquid/solid ratio, while in the acid hydrolysis process, the NEPP yield was significantly affected by the temperature, time and liquid/solid ratio. The second order polynomial models were developed for predicting NEPP content in blueberries. The optimisation of the extraction process of NEPP in blueberries would provide a good idea and basis for the application of non-extractable fractions.

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37

Kasim, Mohd Shahir, Nor Fakhriah Zakaria, Che Hasan Che Haron, Jaharah Abd Ghani, Raja Izamshah, Che Hasan Che Haron, and Teruaki Ito. "104 Modelling and Optimization of Cutting Parameter during Wire-EDM of Inconel 718 using Response Surface Methodology." Proceedings of Manufacturing Systems Division Conference 2015 (2015): 51–52. http://dx.doi.org/10.1299/jsmemsd.2015.51.

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38

Maleki, Hassan, Sajjad Chehreghani, Mohammad Noaparast, Mir Saleh Mirmohammadi, and Minoo Ghanbarzad. "DISSOLUTION KINETICS OF A COPPER OXIDE ORE SAMPLE AND OPTIMIZING THE EFFECTIVE PARAMETERS, USING RESPONSE SURFACE METHODOLOGY." Rudarsko-geološko-naftni zbornik 38, no. 2 (2023): 75–85. http://dx.doi.org/10.17794/rgn.2023.2.5.

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In this research work, the leaching behavior of a copper oxide ore sample prepared from the Qaleh-Zari copper mine with a very high grade of 5.4% Cu (malachite and azurite) was investigated to evaluate the effects of significant operating parameters on copper recovery, including sulfuric acid concentration, solid percentage, particle size and agitation speed. Then, response surface methodology (RSM) and central composite design (CCD) were employed to optimize the leaching process and assess interactions between the effective parameters. In order to further analyze the leaching behavior, kinetics of copper dissolution was studied on the basis of the shrinking core models (SCM). The results showed a reduction in the rate of recovery with an increase in the solid percentage and/or particle size. In contrast, any increase in the agitation speed and/or acid concentration was found to improve the recovery. It was remarkable that increasing the sulfuric acid content, beyond a certain level, imposed no significant effect on the recovery. Optimal copper recovery was obtained with a solid percentage, agitation speed, particle size, and sulfuric acid concentration of 25.12%, 586 rpm, 70 μm, and 12.5%, respectively, leading to a recovery of 93.24%. A study on the leaching kinetics indicated that the dissolution rate was controlled by the fluid diffusion from product layer model with 30.71 kJ/mol of activation energy.

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39

Yu Jie, 余杰, 蔡创 Cai Chuang, 谢佳 Xie Jia, 梁盈 Liang Ying, 黄嘉森 Huang Jiasen, 刘致杰 Liu Zhijie, and 刘永洪 Liu Yonghong. "基于响应面法的低碳贝氏体钢激光-电弧复合焊接工艺参数优化." Chinese Journal of Lasers 49, no. 16 (2022): 1602018. http://dx.doi.org/10.3788/cjl202249.1602018.

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Lin, Lin, Lei Jiang, Hongzhen Guo, Li Yang, and Zizheng Liu. "Optimization of divalent metal cations for maximal concentration of Monacolin K in Monascus M1 by response surface methodology." Czech Journal of Food Sciences 37, No. 5 (October 31, 2019): 312–18. http://dx.doi.org/10.17221/74/2019-cjfs.

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Inorganic salts are important factors in the growth and secondary metabolites production of microorganisms. This study investigated the influences of divalent metal cations, Mn2+, Zn2+, and Mg2+ on the cell growth and Monacolin K production in Monascus M1. Then the concentration of the three kinds of divalent metal cations was optimized by response surface methodology, and the optimum conditions for the highest production of Monacolin K were determined. The optimum concentrations of the three divalent metal ions were selected as follow: Mn2+ 0.33%, Zn2+ 0.16%, and Mg2+ 1%. In this condition the concentration of Monacolin K reached 9.57mg/g which was close to the predicted values, indicating that the model was adequate for the Monacolin K production. The yield of Monacolin K in Monascus can be increased by adding metal ions during industrial production.

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Amenaghawon, Andrew, Oluwatoba Salokun, Justina Okhonmina, and Imuetinyan Egharevba. "Determination of Optimum Composition of Fermentation Medium for Citric Acid Production from Watermelon Rinds using Response Surface Methodology." Tropical Journal of Natural Product Reseach 1, no. 1 (July 14, 2017): 12–16. http://dx.doi.org/10.26538/tjnpr/v1i1.3.

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P, Ravichandran, Karthik C, and Balaji K. "Optimization of Anaerobic Mechanism using Response Surface Methodology RSM to treat Pulp and Paper Industry Wastewater : A Review." International Journal of Trend in Scientific Research and Development Volume-2, Issue-1 (December 31, 2017): 1150–58. http://dx.doi.org/10.31142/ijtsrd7161.

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Kannan, C. Ramesh, P. Padmanabhan, and A. Lawrance Paul. "Investigate the Effect of Turning Parameters on Tool Wear on Various Cutting Tool Inserts Using Response Surface Methodology." Bonfring International Journal of Industrial Engineering and Management Science 6, no. 4 (December 31, 2016): 177–81. http://dx.doi.org/10.9756/bijiems.7621.

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Hermawan, Andreas Aditya, Tan Kok Bing, and Babak Salamatinia. "Application and Optimization of Using Recycled Pulp for Methylene Blue Removal from Wastewater: A Response Surface Methodology Approach." International Journal of Environmental Science and Development 6, no. 4 (2015): 267–74. http://dx.doi.org/10.7763/ijesd.2015.v6.602.

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Salimana, MAR, A. Zaidonb, ES Bakarb, SH Leeb, PM Tahira, NF Leemona, MF Kaipina, and AH Julianaa. "RESPONSE SURFACE METHODOLOGY MODEL OF." JOURNAL OF TROPICAL FOREST SECIENCE 29, no. 3 (July 31, 2017): 318–24. http://dx.doi.org/10.26525/jtfs2017.29.3.318324.

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Myers, Raymond H., André I. Khuri, Walter H. Carter, and Andre I. Khuri. "Response Surface Methodology: 1966-1988." Technometrics 31, no. 2 (May 1989): 137. http://dx.doi.org/10.2307/1268813.

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Steinberg, David M., and Dizza Bursztyn. "Response Surface Methodology in Biotechnology." Quality Engineering 22, no. 2 (March 5, 2010): 78–87. http://dx.doi.org/10.1080/08982110903510388.

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Myers, Raymond H., André I. Khuri, and Walter H. Carter. "Response Surface Methodology: 1966–l988." Technometrics 31, no. 2 (May 1989): 137–57. http://dx.doi.org/10.1080/00401706.1989.10488509.

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Prasertboonyai, Kanyarak, and Chayut Bunterngchit. "The Application of Response Surface Methodology for Optimization of Tetracycline Determination Using Natural Reagent from Diplazium esculentum (Retz.) Sw." International Journal of Pharma Medicine and Biological Sciences 8, no. 4 (October 2019): 118–22. http://dx.doi.org/10.18178/ijpmbs.8.4.118-122.

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He, Q., Y. Li, P. Zhang, A. Zhang, and H. Wu. "Optimisation of microwave-assisted extraction of flavonoids and phenolics from celery (Apium graveolens L.) leaves by response surface methodology." Czech Journal of Food Sciences 34, No. 4 (September 5, 2016): 341–49. http://dx.doi.org/10.17221/266/2015-cjfs.

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The conditions for microwave-assisted extraction (MAE) of total flavonoids (TF) and total phenols (TP), and antioxidant activity from celery (Apium graveolens L.) leaves by response surface methodology (RSM) were optimised. The 3-level, 3-factorial Box-Behnken design (BBD) was employed to study three main extraction conditions: microwave power (300–500 W), solid-solvent ratio (15–30 ml/g), and ethanol concentration (50–80%). It was found that microwave power of 500 W at 30 ml/g solid-solvent ratio with 75.6% (v/v) ethanol concentration was the most optimum conditions for the extraction of TF and TP from celery leaves with the consequent high antioxidant activity measured by the DPPH inhibition rate. Using the optimum extraction conditions, the extraction yields of TF and TP were 0.62 g RUE/100 g DW, 3.01 g GAE/100 g DW, respectively, and the DPPH inhibition rate was 88%. The results indicated that the nutritional quality of celery (Apium graveolens L.) leaves could be improved significantly by optimising the extraction process of MAE using response surface methodology.

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