Effect of temperature and starch concentration on the creep/recovery behaviour of the grape molasses: modelling with ANN, ANFIS and response surface methodology

The refining process applied to soybean oil (SBO) in order to obtain the desirable purity characteristics as edible oil, produces chemical changes by partially removing desirable components such as tocopherols. In this study, the effect of temperature (76.4-143.6°C), contact time (6.4-73.6min) and clay amount (0.16-1.84% w/w) on tocopherol content and quality of SBO were evaluated. Neutralised soybean oil was subjected to bleaching using different clay amounts (Tonsil Optimum 320 FF), stirring (250rpm), and partial vacuum (60mmHg). A response surface methodology (RSM) was used to find the parameters that produce bleached oil with minimum peroxide value (PV), maximum tocopherol retention (TOCR) and light colour. The optimal bleaching conditions for SBO were: temperature, 96°C; time, 23min; clay amount, 1.4% w/w oil. Under these conditions, a bleached soybean oil with 0.1meq/kg of PV, 91.74% of TOCR, and colour 1.53 Lovibond red value units was obtained.

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Optimization of Naphthalene Extraction from its Mixture with Base Oil and Dibenzothiophene by BMIMDMP Ionic Liquid Using Response Surface Methodology (RSM)

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.625.50 ◽

2014 ◽

Vol 625 ◽

pp. 50-56

Author(s):

Ghassan M.J. Al Kaisy ◽

Mohamed I.A. Mutalib ◽

Mohd Azmi Bustam ◽

Radzuan B. Razali

Keyword(s):

Response Surface Methodology ◽

Ionic Liquid ◽

Response Surface ◽

Extraction Process ◽

Performance Model ◽

Effect Of Temperature ◽

Coefficient Of Determination ◽

Base Oil ◽

Series Of Experiments ◽

The Relationship

– In this study, the Response Surface Methodology (RSM) was applied for optimizing the extraction process of Naphthalene from its mixture with Base Oil and Dibenzothiophene using the ionic liquid 1-Butyl-3-Methyimidazolium Dimethylphosphate (BMIMDMP). The series of experiments conducted were designed using Design Expert version 8.7.0.1 software for studying the effect of temperature and ionic liquid to oil mass ratio on the performance of naphthalene removal. The Analysis of Variance (ANOVA) conducted to determine the relationship developed for the two variables above with respect to the naphthalene removal showed a high coefficient of determination (R2) value of (0.9998) hence indicating a very good performance model which can be used for optimizing the extraction process. Based on the results, it shows that 67% percent removal could be achieved with one extraction stage at the optimum condition.

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Optimization of Roasting Conditions for Preservation of Nutritional Quality of Terminalia catappa Almonds by Response Surface Methodology

Journal of Food Studies ◽

10.5296/jfs.v9i1.17137 ◽

2020 ◽

Vol 9 (1) ◽

pp. 61

Author(s):

Kowiou Aboudou ◽

Sènan Vodouhe-egueh ◽

Midimahu Vahid Aissi ◽

Mohamed Mansourou Soumanou

Keyword(s):

Response Surface Methodology ◽

Oxidative Stability ◽

Response Surface ◽

Nutritional Quality ◽

Quality Index ◽

Antinutritional Factors ◽

Effect Of Temperature ◽

Food Industries ◽

Terminalia Catappa

The optimal roasting conditions (temperature and time) of Terminalia catappa (TC) almonds allowing to preserve the nutritional quality of their almonds and oils were investigated. The almonds roasted at different temperature (80-120 °C) for various time (30-60 min) using response surface methodology and oils extracted were analyzed. Effect of temperature and time on antinutritional factors and the nutritional quality of almonds and oils was evaluated then the optimum roasting conditions was determined. Results showed that oxalates, tannins and phytates contents of roasted almonds were significantly (P<0.05) influenced by the temperature and time. Roasting had a significant effect on oxidative stability and some quality index of oils. The optimal roasting conditions for reduction of antinutritional factors in almonds were 89.91 °C and 60 min with 70.37% as desirability. However, the results indicate that TC almond could be used in several areas of the food industries.

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Anaerobic Acidogenic Fermentation of Cellobiose by Immobilized Cells: Prediction of Organic Acids Production by Response Surface Methodology

Processes ◽

10.3390/pr9081441 ◽

2021 ◽

Vol 9 (8) ◽

pp. 1441

Author(s):

Panagiota Tsafrakidou ◽

Konstantina Tsigkou ◽

Argyro Bekatorou ◽

Maria Kanellaki ◽

Athanasios A. Koutinas

Keyword(s):

Response Surface Methodology ◽

Organic Acids ◽

Response Surface ◽

Lignocellulosic Biomass ◽

Immobilized Cells ◽

Effect Of Temperature ◽

Quadratic Effect ◽

Linear Effect ◽

Acidogenic Fermentation ◽

Initial Ph

Response surface methodology was used to derive a prediction model for organic acids production by anaerobic acidogenic fermentation of cellobiose, using a mixed culture immobilized on γ-alumina. Three parameters (substrate concentration, temperature, and initial pH) were evaluated. In order to determine the limits of the parameters, preliminary experiments at 37 °C were conducted using substrates of various cellobiose concentrations and pH values. Cellobiose was used as a model sugar for subsequent experiments with lignocellulosic biomass. The culture was well adapted to cellobiose by successive subculturing at 37 °C in synthetic media (with 100:5:1 COD:N:P ratio). The experimental data of successive batch fermentations were fitted into a polynomial model for the total organic acids concentration in order to derive a predictive model that could be utilized as a tool to predict fermentation results when lignocellulosic biomass is used as a substrate. The quadratic effect of temperature was the most significant, followed by the quadratic effect of initial pH and the linear effect of cellobiose concentration. The results corroborated the validity and effectiveness of the model.

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Optimasi Suhu dan Waktu Ekstraksi Akar Pasak Bumi (Eurycoma longifolia jack.) Menggunakan Metode RSM (response surface methodology) dengan Pelarut Etanol 70%

Jurnal Pharmascience ◽

10.20527/jps.v8i1.9085 ◽

2021 ◽

Vol 8 (1) ◽

pp. 53

Author(s):

Khoerul Anwar ◽

Farida Istiqamah ◽

Samsul Hadi

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Preliminary Test ◽

Extraction Time ◽

Effect Of Temperature ◽

High Yield ◽

Extraction Temperature ◽

Eurycoma Longifolia ◽

Root Extraction ◽

Eurycoma Longifolia Jack

Akar pasak bumi (Eurycoma longifolia Jack.) telah lama dimanfaatkan sebagai obat tradisional oleh masyarakat Indonesia sebagai aprodisiaka. Ekstraksi akar tumbuhan ini dilakukan dengan berbagai pelarut yang salah satunya menggunakan etanol 70%. Pemilihan pelarut ini dilakukan untuk memperoleh kandungan zat berkhasiat semaksimal mungkin yang ditandai dengan rendemen yang tinggi. Penelitian ini bertujuan untuk menentukan suhu dan waktu ekstraksi optimum pada proses ekstraksi akar E. longifolia dengan pelarut etanol 70%. Metode OFAT (One Factor at The Time) digunakan pada uji pendahuluan dan metode RSM (Response Surface Methodology) digunakan pada desain eksperimen dengan bantuan software MINITAB 17. Penelitian dilakukan menggunakan 13 titik perlakuan dengan kombinasi suhu dan waktu yang berbeda. Hasil penelitian menunjukkan bahwa titik optimum rendemen ekstraksi akar E.longifolia sebesar 4,07% diperoleh pada suhu 51,8oC dan waktu 12,13 jam dengan nilai D (desirability) sebesar 0,92. Uji validasi model RSM menunjukkan keakuratan sebesar 97,76%. Model persamaan regresi yang menggambarkan pengaruh suhu dan waktu ekstraksi terhadap rendemen akar E. longifolia adalah Y = - 70,1 + 2,536X1 + 1,387X2 – 0,02389X12 – 0,0464X22 – 0,00500X1X2. Kata Kunci: Eurycoma longifolia Jack., Suhu dan Waktu Ekstraksi, Metode RSM, Etanol 70%The root of the pasak bumi (Eurycoma longifolia Jack.) has long been used as a traditional medicine by the Indonesian people as an aphrodisiac. Extraction of plant roots is carried out with various solvents, one of which uses ethanol 70%. The selection of this solvent was carried out to obtain the maximum possible active metabolite content which is characterized by high yield. This study aims to determine the optimum extraction temperature and time in the root extraction process of E. longifolia with 70% ethanol as solvent. The OFAT (One Factor at The Time) method was used in the preliminary test and the RSM (Response Surface Methodology) method was used in the experimental design with the help of MINITAB 17 software. The study was conducted using 13 treatment points with different combinations of temperature and time. The results showed that the optimum yield point of E. longifolia root extraction was 4.07% at a temperature of 51.8°C and extraction time of 12.13 hours with D (desirability) value of 0.92. The validation test of the RSM model shows an accuracy of 97.76%. The regression equation model that describes the effect of temperature and extraction time on the root yield of E. longifolia is Y = - 70.1 + 2.536X1 + 1.387X2 – 0.02389X12 – 0.0464X22 – 0.00500X1X2.

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Optimization of the Preparation Technology of Resistant Starch of Cowpea Using Response Surface Methodology

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.554-556.909 ◽

2012 ◽

Vol 554-556 ◽

pp. 909-917 ◽

Cited By ~ 1

Author(s):

Wei Wen Huang ◽

Wei Wang ◽

Ji Lie Li ◽

Zhong Hai Li

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Resistant Starch ◽

Preparation Process ◽

Optimal Conditions ◽

Single Factor ◽

Preparation Technology ◽

Starch Concentration ◽

Main Factors ◽

Optimized Conditions

Response surface methodology was used to optimize the preparation technology of resistant starch (RS) production by raw cowpea bean starch. In the first optimization step, single factor experiments designed was used to evaluate the influence of RS yield. The RS yield were influenced significantly by some factors of preparation RS, including the starch concentration, autoclaving time, pullulanase dosage and enzymolysis temperature. The others in the investigation scope had no significant influence on the RS production. In the last step, four main factors were further optimized using Box-Behnken designs and response surface analysis. The optimized conditions in the process of preparation RS were starch concentration as 29%, autoclaving time as 38min, pullulanase dosage as 4.0PUN/g, enzymolysis temperature as 60°C. In our optimal conditions, rather good RS yield was 23.52±0.15% and repeatability of the preparation process was good which was valuable in further production.

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