scholarly journals The Impact of Heat-moisture Treatment on Properties of Musa paradisiaca L. Starch, and Optimization of Process Variables

2018 ◽  
Vol 56 (4) ◽  
Author(s):  
Maria José Missão Cordeiro ◽  
◽  
Cristiane Martins Veloso ◽  
Leandro Soares Santos ◽  
Renata Cristina Ferreira Bonomo ◽  
...  
Keyword(s):  
Process Variables ◽  
Musa Paradisiaca ◽  
Heat Moisture Treatment ◽  
Moisture Treatment ◽  
The Impact

Significance of heat-moisture treatment conditions on the pasting and gelling behaviour of various starch-rich cereal and pseudocereal flours

2017 ◽  
Vol 23 (7) ◽  
pp. 623-636 ◽  
Author(s):  
Concha Collar
Keyword(s):  
Moisture Content ◽  
Heating Time ◽  
Heat Moisture Treatment ◽  
Treatment Conditions ◽  
Viscosity Profile ◽  
Moisture Treatment ◽  
Short Heating Time ◽  
The Impact ◽  
Wheat Flours ◽  
Short Heating

The impact of heat-moisture treatment processing conditions (15%, 25%, and 35% moisture content; 1, 3, and 5 h heating time at 120 ℃) on the viscosity pasting and gelling profiles of different grain flours matrices (barley, buckwheat, sorghum, high β-glucan barley, and wheat) was investigated by applying successive cooking and cooling cycles to rapid visco analyser canisters with highly hydrated samples (3.5:25, w:w). At a milder heat-moisture treatment conditions (15% moisture content, 1 h heating time), except for sorghum, heat-moisture treatment flours reached much higher viscosity values during earlier pasting and subsequent gelling than the corresponding native counterparts. Besides heat-moisture treatment wheat flour, the described behaviour found also for non-wheat-treated flours has not been previously reported in the literature. An increased hydrophobicity of prolamins and glutelins in low moisture-short heating time heat-moisture treatment of non-wheat flours with high protein content (12.92%–19.95%) could explain the enhanced viscosity profile observed.

The impact of heat-moisture treatment on the molecular structure and physicochemical properties of Coix seed starches

2016 ◽  
Vol 68 (7-8) ◽  
pp. 662-674 ◽  
Author(s):  
Xing Liu ◽  
Jin-Hong Wu ◽  
Jun-Hua Xu ◽  
Dan-Zhuo Mao ◽  
Yong-Jian Yang ◽  
...  
Keyword(s):  
Molecular Structure ◽  
Physicochemical Properties ◽  
Heat Moisture Treatment ◽  
Coix Seed ◽  
Moisture Treatment ◽  
The Impact

Development of starch-based bioplastics of green plantain banana (Musa paradisiaca L.) modified with heat-moisture treatment (HMT)

2022 ◽  
Vol 31 ◽  
pp. 100776
Author(s):  
Eduardo Bruno Macêdo Viana ◽  
Natalia Oliveira Leite ◽  
Jéssica Souza Ribeiro ◽  
Matheus Ferreira Almeida ◽  
Cassiara Carmelo Eloi Souza ◽  
...  
Keyword(s):  
Musa Paradisiaca ◽  
Heat Moisture Treatment ◽  
Moisture Treatment

scholarly journals Optimizing Adsorption of 17α-Ethinylestradiol from Water by Magnetic MXene Using Response Surface Methodology and Adsorption Kinetics, Isotherm, and Thermodynamics Studies

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3150
Author(s):  
Mengwei Xu ◽  
Chao Huang ◽  
Jing Lu ◽  
Zihan Wu ◽  
Xianxin Zhu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Quadratic Model ◽  
Adsorption Efficiency ◽  
Process Variables ◽  
Adsorption Time ◽  
Initial Concentration ◽  
Independent Variables ◽  
The Impact ◽  
Adsorbent Dose

Magnetic MXene composite Fe3O4@Ti3C2 was successfully prepared and employed as 17α-ethinylestradiol (EE2) adsorbent from water solution. The response surface methodology was employed to investigate the interactive effects of adsorption parameters (adsorption time, pH of the solution, initial concentration, and the adsorbent dose) and optimize these parameters for obtaining maximum adsorption efficiency of EE2. The significance of independent variables and their interactions were tested by the analysis of variance (ANOVA) and t-test statistics. Optimization of the process variables for maximum adsorption of EE2 by Fe3O4@Ti3C2 was performed using the quadratic model. The model predicted maximum adsorption of 97.08% under the optimum conditions of the independent variables (adsorption time 6.7 h, pH of the solution 6.4, initial EE2 concentration 0.98 mg L−1, and the adsorbent dose 88.9 mg L−1) was very close to the experimental value (95.34%). pH showed the highest level of significance with the percent contribution (63.86%) as compared to other factors. The interactive influences of pH and initial concentration on EE2 adsorption efficiency were significant (p < 0.05). The goodness of fit of the model was checked by the coefficient of determination (R2) between the experimental and predicted values of the response variable. The response surface methodology successfully reflects the impact of various factors and optimized the process variables for EE2 adsorption. The kinetic adsorption data for EE2 fitted well with a pseudo-second-order model, while the equilibrium data followed Langmuir isotherms. Thermodynamic analysis indicated that the adsorption was a spontaneous and endothermic process. Therefore, Fe3O4@Ti3C2 composite present the outstanding capacity to be employed in the remediation of EE2 contaminated wastewaters.

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