scholarly journals Application of Response Surface Methodology Models for Dimensional Stability of Hydrothermally Treated Semantan Bamboo

2019 ◽  
Vol 8 (2S4) ◽  
pp. 460-463
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Dimensional Stability ◽  
Acidic Medium ◽  
Treatment Duration ◽  
Treatment Time ◽  
Temperature Treatment ◽  
Treatment Temperature ◽  
Alkaline Media

Semantan bamboo (Gigantochloa Scortechinii) was hydrothermally treated in three different buffered media, namely alkaline, neutral and acidic medium. Response surface methodology (RSM) models were developed for the influences of treatment temperature, treatment duration and pH of buffered media on dimensional stability of Semantan bamboo. The models suggested that treatment temperature is the most crucial factor that led to improvement in dimensional stability. Lengthened treatment time also exerted noticeable influence when the temperature remained constant. More dimensionally stable samples were obtained in neutral and alkaline media.

scholarly journals Improved Hydrophobicity and Dimensional Stability of Wood Treated with Paraffin/Acrylate Compound Emulsion through Response Surface Methodology Optimization

Polymers ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 86 ◽  
Author(s):  
Jun Jiang ◽  
Yupeng Chen ◽  
Jinzhen Cao ◽  
Changtong Mei
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Dimensional Stability ◽  
Treatment Time ◽  
Treated Wood ◽  
Good Prediction ◽  
Water Contact ◽  
Correlation Models ◽  
Acrylate Emulsion ◽  
Emulsion Concentration

Wood treatment was conducted by paraffin/acrylate compound emulsion. Response surface methodology (RSM) was applied for modeling and to determine the relationship between hydrophobicity and influencing factors. The results showed that the paraffin emulsion concentration and acrylate emulsion percentage had significant influences on water absorption (WA) and mass percentage gain (MG). The WA decreased obviously with increasing acrylate emulsion percentage. The correlation models for WA and MG showed a good prediction due to the straight-line distribution in the normal probability plot of residuals. The optimal conditions (5.57% paraffin emulsion concentration, 20% acrylate emulsion percentage, and 10 min treatment time) provided by RSM were acceptable for predicting the MG and WA. Compared to untreated (66°) and paraffin emulsion treated wood (94°), the wood treated by compound emulsion showed the highest water contact angle (133°) and better dimensional stability. This could be ascribed to a synergistic effect (bulking effect and filling effect) provided by paraffin and acrylate, which could form a completely hydrophobic film in wood.

scholarly journals Dimensional stability improvement of corn stalk biocomposites using two-part lignin-derived binder optimized with response surface methodology

BioResources ◽  
2019 ◽  
Vol 14 (3) ◽  
pp. 5923-5942
Author(s):  
Yuan Yuan ◽  
Sidan Li ◽  
Feng Jiao ◽  
Guinan Shen ◽  
Lei Yan ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Dimensional Stability ◽  
Treatment Time ◽  
High Mass ◽  
Corn Stalk ◽  
Dimensional Properties ◽  
Pretreatment Time ◽  
Pre Treatment

To strengthen the dimensional stability of enzymatically treated corn stalk (ECS) biocomposites, hybrid modified lignosulfonate (HML) was used as a binder to fabricate reinforced ECS/HML composites with evaluation by response surface methodology. The effects of the preparation treatment on the enzymatic conditions, as well as the modified lignosulfonate dosage on the physicomechanical properties of the ECS/HML composites, were all evaluated. The optimum preparation parameters were determined via the Box-Behnken experimental design. High mass concentrations of laccase-vanillin and an appropriate modified lignosulfonate dosage for a relatively short enzymatic pretreatment time led to reduced residual stresses and improved dimensional properties. The optimum conditions that minimized thickness swelling (TS) and water adsorption (WA) without significantly compromising the biocomposite mechanical properties were determined to be 25 g/L laccase-vanillin, 118.8 min enzymatic pre-treatment time, and 15 wt% modified lignosulfonate. The ECS/HML composites that were treated under the optimal conditions resulted in an approximate 42% reduction in the dimensional properties without any significant decline in mechanical properties when compared to ECS panels. Unlike the loose structure of ECS biocomposites, the ECS/HML composites had a laminar shape with firm morphology.

Optimization for Acid Hydrolysis Conditions of the Simulated Last Monosodium Glutamate Mother Liquor by Response Surface Methodology

2014 ◽  
Vol 881-883 ◽  
pp. 793-796
Author(s):  
Xu Dong Feng ◽  
Xin Pan ◽  
Juan Lu
Keyword(s):  
Response Surface Methodology ◽  
Acid Hydrolysis ◽  
Response Surface ◽  
Removal Efficiency ◽  
Mother Liquor ◽  
Treatment Time ◽  
Monosodium Glutamate ◽  
Treatment Temperature ◽  
Pyroglutamic Acid ◽  
Hydrolysis Conditions

The high concentration of sodium pyroglutamate could reduce the yielding amount of monosodium glutamate in the last monosodium glutamate mother liquor. In this study, on the basis of the single factor experiment, the optimization was explored with response surface methodology for acid hydrolysis conditions of the simulated last monosodium glutamate mother liquor. It is indicated that treatment time (X1) was the most significant factor to affect the removal efficiency of pyroglutamic acid, followed by treatment temperature (X2) and concentration of acid (X3). The regression model for the acid hydrolysis was significant (p<0.0001). The influence of the interaction between X1 and X3 was very significant on removal efficiency of pyroglutamic acid. Meanwhile, the optimized conditions obtained were: 2.67h of treatment time, 34.53% of concentration of acid and 109.7°C of treatment temperature. Under these conditions, the maximum removal efficiency of pyroglutamic acid was up to 95.32%, which was close to the predicted value of 95.94%.

scholarly journals Prediction of Color Properties of Cellulase-Treated 100% Cotton Denim Fabric

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
C. W. Kan ◽  
W. Y. Wong ◽  
L. J. Song ◽  
M. C. Law
Keyword(s):  
Treatment Time ◽  
Processing Parameters ◽  
Temperature Treatment ◽  
Treatment Temperature ◽  
Colour Properties ◽  
Ann Model ◽  
Mechanical Agitation ◽  
Yarn Twist ◽  
Cellulase Treatment ◽  
Artificial Neural Network Ann

Artificial neural network (ANN) model was used for predicting colour properties of 100% cotton denim fabrics, including colour yield (in terms of K/S value) and CIE L*, a*, b*, C*, and h° values, under the influence of cellulase treatment with various combinations of cellulase processing parameters. Variables examined in the ANN model included treatment temperature, treatment time, pH, mechanical agitation, and fabric yarn twist level. The ANN model was compared with a linear regression model where the ANN model produced superior results in the prediction of colour properties of cellulase-treated 100% cotton denim fabrics. The relative importance of the examined factors influencing colour properties was also investigated. The analysis revealed that cellulase treatment processing parameters played an important role in affecting the colour properties of the treated 100% denim cotton fabrics.

scholarly journals Biomass Waste Processing into Artificial Humic Substances

2021 ◽  
Vol 25 (1) ◽  
pp. 631-639
Author(s):  
Maris Klavins ◽  
Linda Ansone-Bertina ◽  
Lauris Arbidans ◽  
Linards Klavins
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Humic Substances ◽  
Hydrothermal Carbonization ◽  
Microwave Treatment ◽  
Treatment Temperature ◽  
Waste Processing ◽  
Biomass Waste ◽  
Processing Product ◽  
Forms Of Carbon

Abstract To address the biomass waste processing problem and transform it into refractory forms of carbon, recently suggested hydrothermal carbonization (HTC) of biomass in alkaline environment can be considered as a prospective and climate neutral approach. Biomass HTC provides possibilities to obtain form of biochar (hydrochar) and artificial humic substances, however the conditions of the HTC have not been much studied. Optimization by Response Surface Methodology of the HTC using microwave treatment with three experimental variables (treatment temperature, length of microwave treatment, amount of biomass per volume) provides the possibility to significantly increase the yield of humic substances at the same time reducing the duration of the treatment. However, with an increase in the yield of humic substances, the yield of hydrochar decreases, thus supporting possibilities to obtain most needed biomass waste processing product.

scholarly journals Optimization and empirical modelling of physical ‎properties of hydrothermally treated ‎oil ‎palm wood in ‎different ‎buffered media using ‎response ‎surface ‎methodology

BioResources ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. 2385-2405
Author(s):  
Seyed Eshagh Ebadi ◽  
Zaidon Ashaari ◽  
Mohammad Jawaid
Keyword(s):  
Response Surface Methodology ◽  
Physical Properties ◽  
Response Surface ◽  
Hydrothermal Treatment ◽  
Oil Palm ◽  
Linear Models ◽  
Treatment Temperature ◽  
Empirical Modelling ◽  
Buffer Solutions ◽  
Parenchymal Cells

Physical properties are one of the ‎drawbacks of oil palm wood ‎‎(OPW) and they need to ‎be ‎improved via an appropriate method. The ‎response surface methodology (RSM) based on central composite ‎design (CCD) was used to evaluate and optimize the parameters of a hydrothermal treatment ‎and to create an ‎empirical model of the mass loss (ML, %), equilibrium moisture ‎content ‎‎(EMC, %), and anti-swelling efficiency (ASE24h, %)‎‏ ‏responses‎. This ‎study focused on the ‎effect of ‎hydrothermal treatment (HTT) ‎in ‎buffer solutions to control the ‎destructive effects of ‎released ‎acids ‎caused by the degradation of ‎hemicellulose acetyl groups‏.‏‎ A CCD, as ‎the most common RSM design, was applied with three treatment factors including the ‎buffer solutions ‎‎(acidic, neutral, ‎and alkaline with pH of 5 to 8), temperature (80 to 140 ‎‎°С), ‎time (40 to ‎‎‎120 ‎min), and a total of 20 ‎experiments‎.‎‏ ‏‎The results ‎showed that the ‎effect of the treatment temperature ‎was more notable ‎than time. The medium acidity (pH) variations in HTT can lead ‎to ‎the removal of ‎extractives and starch, hemicelluloses ‎hydrolysis‎, ‎the ‎destruction of the parenchymal cells wall, and ‎weight loss. Based on the variance analysis, the ‎quadratic and linear models proved to be highly significant with ‎minimal probability values (< 0.0001). The optimum conditions ‎predicted for the HTT were a pH of 7.3, a temperature of ‎112.7 ‎°С, and ‎a‏ ‏time of ‎109.6 ‎min.

scholarly journals Optimization of pretreatment in pymetrozine production wastewater via reactive distillation and side-stream distillation methods with response surface methodology

2020 ◽  
Author(s):  
Qi Chen ◽  
Kaijun Wang ◽  
Qixing Cai ◽  
Zhenggui Gu ◽  
Jianzhong Zhu
Keyword(s):  
Response Surface Methodology ◽  
Wastewater Treatment ◽  
Response Surface ◽  
Reactive Distillation ◽  
Treatment Time ◽  
Operating Conditions ◽  
Processing Efficiency ◽  
Emission Standard ◽  
Methanol Content ◽  
Side Stream

Abstract Lots of highly concentrated saline organic wastewater is produced during pymetrozine production process, causing environmental pollution and waste of resources if discharged directly. Research on actual pymetrozine wastewater treatment is quite scarce. Existing treatment methods of pesticide wastewater usually have disadvantages of long treatment time, low processing efficiency and low recovery rate. To solve these problems, pretreatment process of pymetrozine wastewater was studied based on material recovery and pollutant degradation. The ammonia conversion process was experimentally investigated by reactive distillation. The reaction product vapor was neutralized and then separated by side-stream distillation. Aspen Plus and response surface methodology were employed to simulate and optimize the operating conditions. Box-behnken design was used to investigate the individual and interaction effects on methanol purification and sodium acetate removal. Experimental study was carried out on the basis of theoretical simulation data. The result showed that the optimized methanol content on tower top was 99.28% with yield of 99.95% and methanol content of side withdrawal was 0.01%. The process can be applied for pesticide wastewater treatment to recycle high purity chemical materials, and meet the national sewage comprehensive emission standard.

scholarly journals Effect of Heat Treatment on Smoothie Quality by Response Surface Methodology

Proceedings ◽  
2020 ◽  
Vol 70 (1) ◽  
pp. 6
Author(s):  
Joaquina Pinheiro ◽  
Diana I. Santos ◽  
Elsa M. Gonçalves ◽  
Marta Abreu ◽  
Margarida Moldão-Martins
Keyword(s):  
Heat Treatment ◽  
Response Surface Methodology ◽  
Antioxidant Capacity ◽  
Response Surface ◽  
Fruits And Vegetables ◽  
Total Phenolics ◽  
Treatment Time ◽  
Antioxidant Power ◽  
Quality Properties ◽  
The Impact

Smoothies are a popular and convenient way for to consume bioactive compounds from fruits and vegetables such as total phenolics, carotenoids and flavonoids, with the preservation treatment being an important action to guarantee the safety and extension of shelf-life. The main goal of this study was to evaluate the impact of heat treatment (HT) on smoothie prepared with “Fuji “apple (41%), pineapple (31%), cabbage (8%), pumpkin (10%) and banana (10%), by response surface methodology (RSM), where the temperature (70–100 °C) and treatment time (0.5–10.5 min), were the dependent variables. After optimization of HT conditions, a validation assay was performed to guarantee the minimal changes on color and reduction of 90% of polyphenoloxidase enzyme (PPO). Antioxidant activity (Ferric reducing antioxidant power assay (FRAP), DPPH, ABTS), total phenolics content (TPC), pH and solids soluble content were also analyzed. Predicted models of color parameters (L*, a*, ºh) and PPO enzymatic activity were found to be significant (p < 0.05) with regression coefficients (R2) of 0.84, 0.86, 0.92 and 0.97, respectively. From the RSM-generated model, the HT conditions that ensure a minimal green loss of smoothie and inactivation of PPO enzyme was at 85 °C over 7 min. In the validation study, these conditions were tested and proved to be sufficient to achieve the main goals. In the heat-treated smoothie, increases in TPC (10%) and antioxidant capacity (ABTS: 50%, DPPH: 17%, FRAP: 13%) were attained. This study demonstrated that RSM was efficient to select the optimal conditions of HT and improve the important quality properties that influence the product quality and the potential consumer’s health (TPC and antioxidant capacity).

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