Modeling and analysis of film composition on mechanical properties of maize starch based edible films

Maran, J. Prakash; Sivakumar, V.; Thirugnanasambandham, K.; Kandasamy, Senthil Kumar

doi:10.1016/j.ijbiomac.2013.09.027

Cited by 43 publications

(24 citation statements)

References 34 publications

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“…D–F). This is associated with the development of intermolecular hydrogen bonds between guar and starch and also the cohesive molecular structure of the films which improved the tensile strength accordingly . Other studies have reported that the addition of hydrocolloids increases the film mechanical strength .…”

Section: Resultsmentioning

confidence: 98%

Development of edible blend films with good mechanical and barrier properties from pea starch and guar gum

Saberi¹,

Thakur²,

Bhuyan³

et al. 2016

Starch Stärke

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The individual and interactive impacts of guar gum and glycerol on the pea-starch-based edible film characteristics were examined using three factors with three-level Box-Behnken response surface design (BBD). The results showed that density and elongation at break were only significantly (p < 0.05) affected by pea starch and guar gum in a positive linear fashion. The quadratic regression coefficient of pea starch showed a significant effect (p < 0.05) on thickness, density, puncture force, water vapor permeability, and tensile strength, while tensile strength and Young's modulus were affected by the quadratic regression coefficient of glycerol and guar gum, respectively. The results were analyzed using Pareto analysis of variance (ANOVA) and the developed predictive equations for each response variable presented reliable and satisfactory fit with high coefficient of determination (R 2 ) values (!0.96). The optimized conditions with the goal of maximizing mechanical properties and minimizing water vapor permeability were 2.5 g pea starch, 0.3 g guar gum, and 25% w/w glycerol based on the dry film matter in 100 mL of distilled water.

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Section: Resultsmentioning

confidence: 98%

Development of edible blend films with good mechanical and barrier properties from pea starch and guar gum

Saberi¹,

Thakur²,

Bhuyan³

et al. 2016

Starch Stärke

View full text Add to dashboard Cite

show abstract

“…In this study, the R 2 pre of 0.990 for TMAC and 0.859 for TPC is in reasonable agreement with the R 2 adj . The low value of residual error (0.053 for TMAC and 1.4 for TPC) shows that, the form of the chosen model to explain the relationship between the factors and response is correct (Prakash Maran et al 2013e). The very low values of CV % (0.038 for TMAC and 0.039 for TPC) clearly indicated a very high degree of precision and a good reliability of the experimental values (Priya et al 2013).…”

Section: Discussionmentioning

confidence: 95%

Modeling and optimization of supercritical fluid extraction of anthocyanin and phenolic compounds from Syzygium cumini fruit pulp

Maran¹,

2014

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Supercritical carbon dioxide extraction (SC-CO 2 ) of total anthocyanin and phenolic compounds from jamun fruits was investigated using three factors at three levels Box-Behnken response surface design. Experiments were conducted to evaluate the effects of three independent variables (pressure, temperature and co-solvent flow rate) on the maximum extraction yield of anthocyanin and phenolic compounds from jamun fruits. From the experimental data, second order polynomial mathematical models were developed with high coefficient of determination values (R 2 >0.98). From response surface plots, pressure, temperature and co-solvent flow rate exhibited independent and interactive effects on the extraction yields. Pressure of 162 bar, extraction temperature at 50°C and co-solvent flow rate of 2.0 g/min was identified as optimal conditions. Under these optimal conditions, the experimental value agreed well with the predicted values and indicates the suitability of developed models.

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“…However, this approach, which does not take into account cross effects from the factors considered, is time consuming and results in poor optimization results [13]. Response surface methodology (RSM) is a powerful statistical-based technique for modeling complex systems, evaluating the simultaneous effects of several factors, and thus searching optimum conditions for desirable responses [14]. RSM also generates a mathematical model that can be used to predict the response of a system to any new condition.…”

Section: Introductionmentioning

confidence: 99%

Optimization of electrocoagulation process to treat grey wastewater in batch mode using response surface methodology

Thirugnanasambandham¹,

Venkatachalam²,

Maran³

2014

J Environ Health Sci Engineer

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BackgroundDischarge of grey wastewater into the ecological system causes the negative impact effect on receiving water bodies.MethodsIn this present study, electrocoagulation process (EC) was investigated to treat grey wastewater under different operating conditions such as initial pH (4–8), current density (10–30 mA/cm2), electrode distance (4–6 cm) and electrolysis time (5–25 min) by using stainless steel (SS) anode in batch mode. Four factors with five levels Box-Behnken response surface design (BBD) was employed to optimize and investigate the effect of process variables on the responses such as total solids (TS), chemical oxygen demand (COD) and fecal coliform (FC) removal.ResultsThe process variables showed significant effect on the electrocoagulation treatment process. The results were analyzed by Pareto analysis of variance (ANOVA) and second order polynomial models were developed in order to study the electrocoagulation process statistically. The optimal operating conditions were found to be: initial pH of 7, current density of 20 mA/cm2, electrode distance of 5 cm and electrolysis time of 20 min.ConclusionThese results indicated that EC process can be scale up in large scale level to treat grey wastewater with high removal efficiency of TS, COD and FC.

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Modeling and analysis of film composition on mechanical properties of maize starch based edible films

Cited by 43 publications

References 34 publications

Development of edible blend films with good mechanical and barrier properties from pea starch and guar gum

Development of edible blend films with good mechanical and barrier properties from pea starch and guar gum

Modeling and optimization of supercritical fluid extraction of anthocyanin and phenolic compounds from Syzygium cumini fruit pulp

Optimization of electrocoagulation process to treat grey wastewater in batch mode using response surface methodology

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