# Process Development for Edible Film Preparation Using Avocado Seed Starch: Response Surface Modeling and Analysis for Water-Vapor Permeability

Authors: R. Ramesh; Hemalatha Palanivel; S. Venkatesa Prabhu; Belachew Zegale Tizazu; Adugna Abdi Woldesemayat
Journal: Advances in Materials Science and Engineering
 (2021)

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## Abstract

Starch-based edible films are gaining huge interest in food packaging industries. In the present work, avocado seed starch (ASS) was extracted and used to develop an edible film. The influence of four important process factors, starch, agar, sorbitol, and Tween-20, was studied on one of the important barrier properties, water-vapor permeability (WP), of developed edible film. The three-level RSM design with Box–Behnken approach was carried out to investigate the film property, WP. ASS-based edible films were prepared by the casting method. The results revealed that the increment in the contents of Tween-20 and sorbitol reduces the WP of the film. Using the response surface analysis, the effect of the aforementioned factors was analyzed; they showed significant impact on WP. To predict the influence of the selected process parameters, a second-order polynomial equation was constructed. Additionally, Pareto analysis of variance was employed over the obtained results to investigate the significance of the developed process model.


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## Body

## 1. Introduction

Petroleum-based non-biodegradable polymeric wastes are significantly increasing the ecological impacts and creating huge global concern. Hence, there is an imperative requirement to develop eco-friendly bio-based materials to alternate the nonrenewable plastic materials [1, 2]. Cellulose derivatives, proteins, gums, lipids, and starch are well-known biopolymers that are commonly used as raw material for biodegradable films. Specifically, for packaging processed or fresh foods, these biopolymers offer significant contribution of preparing thin edible films [3]. One of the abundant, nontoxic, and renewable resources is starch that has the potential capability of forming continuous matrix [4–6]. Starch has the potential advantage of being comparatively low cost. It is able to form films that have a similar characteristic to synthetic polymers such as being odorless, transparent, and tasteless and having oxygen permeability resistance. However, the films prepared using starch generally require the amalgamation of plasticizer for reducing their brittleness. Another important ingredient for preparing eco-friendly packaging films is agar, which is a biodegradable polysaccharide [7–9]. It is used as a cohesive mediator in the polymeric chain and provides better improvisation in properties related to mechanical and barrier possessions [10, 11]. During the preparation of edible films, hydrophobic constituents (surfactants) are added to decrease the hygroscopicity of the films that can provide appreciable desirability [12]. Different studies have reported about the investigation of behavior of water-vapor permeability (WP) on edible film with respect to different factors [13]. The combined effect of starch extracted from avocado seed, agar, Tween-80, and sorbitol has not been described elsewhere. Keeping this view, it is important to study about the barrier properties with respect to different proportions of process variables to gain appropriate knowledge about the possibilities of applications for food packing materials. Hence, this investigation was aimed to investigate the effect of selected process factors, namely, avocado seed starch, agar, Tween-20, and sorbitol, on the important barrier property, WP, of an edible film. The combination of the aforementioned parameters was designed using the three-level Box–Behnken method; further, the WP of the film developed from each commination was determined and analyzed by response surface approach.


## 2. Materials and Methods

### 2.1. Materials

Avocado seeds were collected from the fruit market of Addis Ababa, Ethiopia (Figure1). Tween-20 (food grade with 99% purity) and sorbitol (food grade with 98% purity) were obtained from Hi-Media Chemicals, Addis Ababa. Agar was procured from Merck Chemicals, Addis Ababa.Figure 1
Avocado (Persea americana) seed.


### 2.2. Extraction of Avocado Seed Starch (ASS)

Avocado seeds were grounded well using the laboratory mixer-grinder. The powder was well saturated by soaking with large amounts of distilled water. Prior to this process, sodium metabisulphite was dissolved (0.075% (w/v)) with the distilled water. Further, the soaked content of material was kept to settle for 4 h at room temperature, approximately, 28 ± 2°C. Then, the clear supernatant liquid was carefully transferred to a clean beaker. The sedimented starch was washed repeatedly using sodium metabisulphite solution till the clear suspension was observed. In order to remove the cell debris, the obtained sediment was further filtered using a fine muslin cloth. From the resultant filtration, the clear suspension was collected. Again, it was filtered using 224μm fine sieve. Subsequently, it was subjected to keep deposit. The starch was sedimented and then it was repeatedly washed using distilled water until the wash water was observed to be free of impurities and clear. As a result, the starch was isolated, then sieved, and dried in air at room temperature. In the extracted starch, the amylopectin and amylose concentrations were determined using the method explained by Nogueira et al. [14]. Presence of moisture in the starch was determined by the AOAC procedure [15].


### 2.3. Preparation of Edible Films

The formulation solutions to prepare the film were formulated with different combinations of agar (0.5–1.0 g), sorbitol (0.5–1.0 ml), Tween-20 (0.1–0.5 ml), and ASS (1–3 g). Casting is one of the well-recognized methods for edible film preparation. This method was adopted to develop the films by following the method specified by Sundramurthy et al. [16]. The developed clear films were carefully detached from the Petri dishes; further, they were equilibrated at 25°C with 57% relative humidity for 3 days before the experimental investigations.


### 2.4. Determination of Water-Vapor Permeability (WP)

For food packaging purpose, one of the important barrier properties, water-vapor permeability, is a huge concern for edible films. WP of the developed film was assessed using the method defined by Mali et al. [17]. As per the standard, ASTM D6701, WP was considered. The film thickness was assessed using an appropriate digital micrometer. WP (g/m s Pa) was detected using(1)WP=WVTRKP1−P1l,where l refers to the thickness of the film (m), K refers to the saturation vapor pressure of water (Pa) at the test temperature (25°C), P1 refers to relative humidity of the desiccator, and P2 refers to the relative humidity in the permeation cell. The average value of triplicate experiments was recorded as response.


### 2.5. Experimental Design and Statistical Analysis

In this investigation, the effect of selected factors (ASS content (F1), 1–3 g; sorbitol concentration (F2), 0.5–1.0 ml; concentration of agar (F3), 0.5–1.0 g; and Tween-20 (F4) contentment, 0.1–0.5 ml) on the WP of the edible films was studied. The Box–Behnken design (BBD) can be more effective than other design approaches. Moreover, it also needs fewer runs compared to other response surface designs. Hence, the BBD design was considered for carrying out the combination of different concentrations of selected factors. Using a nonlinear regression technique, a second-order polynomial equation was constructed using the experimental results. This model can be used to analyze the true functional relationship between WP and chosen independent factors. This equation can be written as follows:(2)WP=β0+∑j=1kβjF+∑j=1kβjjFj2+∑i∑<j=2kβjiFiFj+ei,where WP is water-vapor permeability (in the present study, as response); Fi and Fj are process factors (i and j range from 1 to k); β0 implies model intercept coefficient; βj, βjj, and βij are refer to interaction coefficients; k refers to the number of selected independent factors (where k is 4 in this work); and ei is the error function [18]. Results from experimentations were subjected to be analyzed by a statistical software application, Design-Expert 12.0.7.1 (Stat-Ease Inc., USA). To determine the coefficients, the multiple regression investigation was executed. These coefficients can be taken to determine the response (WP). In order to examine the compatibility of the different models constructed to the experimental results, the model summary statistics and sequential model sum of squares were tested. Pareto analysis of variance was carried out to assess the attained experimental results. Different statistical analyses such as F value, p value, sum of squares, degrees of freedom, determination of coefficient, coefficient of variation, predicted determination of coefficient, and adjusted determination of coefficient were employed to obtain the significance of the statistical status of the developed model. Further, the model was used to generate 3D plots for response surfaces to correlate the pure relation between WP and selected four independent factors.


## 2.1. Materials

Avocado seeds were collected from the fruit market of Addis Ababa, Ethiopia (Figure1). Tween-20 (food grade with 99% purity) and sorbitol (food grade with 98% purity) were obtained from Hi-Media Chemicals, Addis Ababa. Agar was procured from Merck Chemicals, Addis Ababa.Figure 1
Avocado (Persea americana) seed.


## 2.2. Extraction of Avocado Seed Starch (ASS)

Avocado seeds were grounded well using the laboratory mixer-grinder. The powder was well saturated by soaking with large amounts of distilled water. Prior to this process, sodium metabisulphite was dissolved (0.075% (w/v)) with the distilled water. Further, the soaked content of material was kept to settle for 4 h at room temperature, approximately, 28 ± 2°C. Then, the clear supernatant liquid was carefully transferred to a clean beaker. The sedimented starch was washed repeatedly using sodium metabisulphite solution till the clear suspension was observed. In order to remove the cell debris, the obtained sediment was further filtered using a fine muslin cloth. From the resultant filtration, the clear suspension was collected. Again, it was filtered using 224μm fine sieve. Subsequently, it was subjected to keep deposit. The starch was sedimented and then it was repeatedly washed using distilled water until the wash water was observed to be free of impurities and clear. As a result, the starch was isolated, then sieved, and dried in air at room temperature. In the extracted starch, the amylopectin and amylose concentrations were determined using the method explained by Nogueira et al. [14]. Presence of moisture in the starch was determined by the AOAC procedure [15].


## 2.3. Preparation of Edible Films

The formulation solutions to prepare the film were formulated with different combinations of agar (0.5–1.0 g), sorbitol (0.5–1.0 ml), Tween-20 (0.1–0.5 ml), and ASS (1–3 g). Casting is one of the well-recognized methods for edible film preparation. This method was adopted to develop the films by following the method specified by Sundramurthy et al. [16]. The developed clear films were carefully detached from the Petri dishes; further, they were equilibrated at 25°C with 57% relative humidity for 3 days before the experimental investigations.


## 2.4. Determination of Water-Vapor Permeability (WP)

For food packaging purpose, one of the important barrier properties, water-vapor permeability, is a huge concern for edible films. WP of the developed film was assessed using the method defined by Mali et al. [17]. As per the standard, ASTM D6701, WP was considered. The film thickness was assessed using an appropriate digital micrometer. WP (g/m s Pa) was detected using(1)WP=WVTRKP1−P1l,where l refers to the thickness of the film (m), K refers to the saturation vapor pressure of water (Pa) at the test temperature (25°C), P1 refers to relative humidity of the desiccator, and P2 refers to the relative humidity in the permeation cell. The average value of triplicate experiments was recorded as response.


## 2.5. Experimental Design and Statistical Analysis

In this investigation, the effect of selected factors (ASS content (F1), 1–3 g; sorbitol concentration (F2), 0.5–1.0 ml; concentration of agar (F3), 0.5–1.0 g; and Tween-20 (F4) contentment, 0.1–0.5 ml) on the WP of the edible films was studied. The Box–Behnken design (BBD) can be more effective than other design approaches. Moreover, it also needs fewer runs compared to other response surface designs. Hence, the BBD design was considered for carrying out the combination of different concentrations of selected factors. Using a nonlinear regression technique, a second-order polynomial equation was constructed using the experimental results. This model can be used to analyze the true functional relationship between WP and chosen independent factors. This equation can be written as follows:(2)WP=β0+∑j=1kβjF+∑j=1kβjjFj2+∑i∑<j=2kβjiFiFj+ei,where WP is water-vapor permeability (in the present study, as response); Fi and Fj are process factors (i and j range from 1 to k); β0 implies model intercept coefficient; βj, βjj, and βij are refer to interaction coefficients; k refers to the number of selected independent factors (where k is 4 in this work); and ei is the error function [18]. Results from experimentations were subjected to be analyzed by a statistical software application, Design-Expert 12.0.7.1 (Stat-Ease Inc., USA). To determine the coefficients, the multiple regression investigation was executed. These coefficients can be taken to determine the response (WP). In order to examine the compatibility of the different models constructed to the experimental results, the model summary statistics and sequential model sum of squares were tested. Pareto analysis of variance was carried out to assess the attained experimental results. Different statistical analyses such as F value, p value, sum of squares, degrees of freedom, determination of coefficient, coefficient of variation, predicted determination of coefficient, and adjusted determination of coefficient were employed to obtain the significance of the statistical status of the developed model. Further, the model was used to generate 3D plots for response surfaces to correlate the pure relation between WP and selected four independent factors.


## 3. Results and Discussion

### 3.1. Chemical Composition of ASS

Figures2(a) and 2(b) show the starch extracted from the avocado seed and edible film prepared using ASS, respectively. As per the standard procedure, the chemical composition of the ASS was determined. The results showed that the presence of the isolated starch was observed to be 97.32 ± 0.51%. Furthermore, the presence of moisture content of 10.45 ± 0.54% and ash content of 0.23 ± 0.02% was also observed. It was found that the content of amylopectin and amylose in the ASS was determined to be 71% and 29%, respectively. Generally, edible film is formed by the involvement of two different process, namely, retrogradation and gelatinization. In retrogradation, solubility of dissolved starch was decreased. During the gelatinization process, leaching of amylose present in the starch, disruption, and swelling are involved. Hence, amylose is a significant liability during edible film preparation using starch because of its capability to establish the continuous viscous mass on the film forming solutions. Additionally, amylose shows an appreciable rate in the retrogradation progression. In this study, a substantial content of the amylose was found in the ASS as reported by Bastarrachea et al. [19].Figure 2
The starch extracted from ASS (a) and the developed edible film prepared from ASS (b).


### 3.2. Experimental Design Analysis

Different combinations of process variable according to the Box–Behnken experimental design with obtained responses are presented in Table1. Each edible film prepared from the BBD design combination was subjected to examine WP. These data were examined. Different models, namely, cubic, quadratic, interactive (2FI), and linear models, were used to get regression correlation equation. Based on the tests, namely, model summary statistics and the sequential model sum of squares, the appropriateness of equation among various models to express the effect of chosen process factors over the WP was carried out, and it is presented in Table 2.Table 1
Design combination of process variables and obtained responses (WP).
Run no.ASS content (g)Sorbitol (ml)Agar (g)Tween-20 (ml)WP of film (g/m·s·Pa) ×10−101310.750.30.345220.750.750.30.266320.750.50.10.25242110.30.297520.7510.10.363620.750.750.30.266730.750.750.50.255820.7510.50.217920.50.50.30.31910110.75.0.30.26911210.50.30.2251230.50.750.30.3671310.750.750.50.24914210.750.50.1911520.510.30.3741620.750.750.30.2661720.750.50.50.1951810.7510.30.33219210.750.10.3062010.50.750.30.4182120.750.750.30.2662230.7510.30.3662320.750.750.30.2662420.50.750.10.3792530.750.50.30.2822610.750.750.10.3452730.750.750.10.3632810.750.50.30.2822920.50.750.50.291Table 2
Adequacy of tested models for WP as response.
SourceStd. devR2AdjustedR2PredictedR2PRESSLinear0.03580.68360.63090.52850.04602FI0.03670.75120.61300.28470.0697Quadratic0.00130.99980.99950.99860.0001SuggestedCubic0.00031.0001.0000.99910.0001AliasedPRESS: predicted residual error sum of squares.From the results of the model adequacy test, it was observed that interactive (2FI) and linear models have comparatively lower value ofR2, predicted R2, and adjusted R2. It was found that the cubic model can be aliased. Thus, the quadratic model for including linear, interactive, and quadratic terms was selected to express the effect of process factors on the WP of ASS-based bio-films. Additionally, adequacy of obtained quadratic model was investigated by Pareto analysis of variance.


### 3.3. Model Development and Statistical Analysis

The mathematical model of second-order polynomial equation (equation (3)) can be used to fit the experimental results to generate the empirical models. This equation of the model can exhibit the true correlation between WP and the selected independent factors. The obtained empirical model of quadratic form in terms of actual parameters is presented as follows:(3)WP=1.00588−0.300167Starch−1.30517Sorbitol+0.107833Agar+0.370833Tween20+0.127000Starch∗Sorbitol+0.034000Starch∗Agar−0.015000Starch∗Tween20+0.068000Sorbitol∗Agar−0.135000Sorbitol∗Tween20−0.445000Agar∗Tween20+0.047708Starch2+0.579333Sorbitol2+0.025333Agar2−0.266667Tween202.Fisher’sF-test was used to examine the statistical significance of the obtained polynomial model using ANOVA analysis. From the analysis, it was observed that the predicted model was very good in being statistically significant (Table 3). The model F-value was found to be higher (FModel = 4102.45), and acceptable low probability value (p<0.0001) showed that the predicted model was statistically significant to express WP of the films. The high value of R2 (0.9998) specified that correlation between experimental and predicted values was found to be high. The values of predicted R2 (0.9986) and the adjusted R2 (0.9995) were found to be very close to the value of R2 which is in good agreement.Table 3
ANOVA analysis for predicted second-order polynomial equation.
SourceSum of squaresdfMean squareF valuep valueModel0.0974140.00704102.45<0.0001SignificantA-starch0.000610.0006338.41<0.0001B-sorbitol0.022110.022113028.60<0.0001C-agar0.012910.01297625.63<0.0001D-Tween-200.031010.031018278.60<0.0001AB0.004010.00402376.91<0.0001AC0.000310.0003170.36<0.0001AD0.000010.000021.220.0004BC0.000110.000142.59<0.0001BD0.000210.0002107.43<0.0001CD0.002010.00201167.31<0.0001A20.014810.01488702.87<0.0001B20.008510.00855012.92<0.0001C20.000010.00009.590.0079D20.000710.0007435.04<0.0001Residual0.0000141.696E − 06Lack of fit0.0000102.375E − 06Not significantPure error0.000040.0000Cor total0.097528


### 3.4. Response Surface Analysis for Water-Vapor Permeability

BBD coupled with RSM was used to assess the effect of four selected independent factors such as ASS (1–3 g), Tween-20 (0.1–0.5 ml), agar (0.5–1.0 g), and sorbitol (0.5–1.0 ml) on WP of the ASS-based edible films. Using a generated mathematical equation (equation (2)), plots for 3D response surface were drawn as a function of two independent factors, while the other two parameters were kept at constant. Experimental results revealed that the increase in concentration of starch and agar led to the increase in WP (Figure 3(a)).Figure 3
3D surface showing the interaction impacts of process variables on WP.
(a)(b)(c)(d)(e)(f)This is because of intermolecular connections becoming high between starch and agar at high concentrations. In addition, high concentrations of starch and agar increase the free space that led to extending the intermolecular distance. Normally, increment in plasticizer concentration reduces the intermolecular bonds among the polymer chains [20]. But in this case, WP of ASS films was slowly decremented with sorbitol concentration increment (Figure 3(b)). This happened due to the ineffectiveness in reducing intermolecular hydrogen bonding between amylopectin and amylose [21–23]. Additional increament in Tween-20 concentration reduces the affinity water and available number of polar groups. Hence, WP of the films were getting decremented (Figure 3(b)). From the developed model, it was observed that the concentration of starch and sorbitol had the negative effect on WP. Since the WP needs to be minimized, these factors are considered as most effective factors. Steric-hinderance structure of the Tween-20 is also responsible for the hydrophilic/lipophilic balance (HLB) ratio and hydrophobicity [24–26].


## 3.1. Chemical Composition of ASS

Figures2(a) and 2(b) show the starch extracted from the avocado seed and edible film prepared using ASS, respectively. As per the standard procedure, the chemical composition of the ASS was determined. The results showed that the presence of the isolated starch was observed to be 97.32 ± 0.51%. Furthermore, the presence of moisture content of 10.45 ± 0.54% and ash content of 0.23 ± 0.02% was also observed. It was found that the content of amylopectin and amylose in the ASS was determined to be 71% and 29%, respectively. Generally, edible film is formed by the involvement of two different process, namely, retrogradation and gelatinization. In retrogradation, solubility of dissolved starch was decreased. During the gelatinization process, leaching of amylose present in the starch, disruption, and swelling are involved. Hence, amylose is a significant liability during edible film preparation using starch because of its capability to establish the continuous viscous mass on the film forming solutions. Additionally, amylose shows an appreciable rate in the retrogradation progression. In this study, a substantial content of the amylose was found in the ASS as reported by Bastarrachea et al. [19].Figure 2
The starch extracted from ASS (a) and the developed edible film prepared from ASS (b).


## 3.2. Experimental Design Analysis

Different combinations of process variable according to the Box–Behnken experimental design with obtained responses are presented in Table1. Each edible film prepared from the BBD design combination was subjected to examine WP. These data were examined. Different models, namely, cubic, quadratic, interactive (2FI), and linear models, were used to get regression correlation equation. Based on the tests, namely, model summary statistics and the sequential model sum of squares, the appropriateness of equation among various models to express the effect of chosen process factors over the WP was carried out, and it is presented in Table 2.Table 1
Design combination of process variables and obtained responses (WP).
Run no.ASS content (g)Sorbitol (ml)Agar (g)Tween-20 (ml)WP of film (g/m·s·Pa) ×10−101310.750.30.345220.750.750.30.266320.750.50.10.25242110.30.297520.7510.10.363620.750.750.30.266730.750.750.50.255820.7510.50.217920.50.50.30.31910110.75.0.30.26911210.50.30.2251230.50.750.30.3671310.750.750.50.24914210.750.50.1911520.510.30.3741620.750.750.30.2661720.750.50.50.1951810.7510.30.33219210.750.10.3062010.50.750.30.4182120.750.750.30.2662230.7510.30.3662320.750.750.30.2662420.50.750.10.3792530.750.50.30.2822610.750.750.10.3452730.750.750.10.3632810.750.50.30.2822920.50.750.50.291Table 2
Adequacy of tested models for WP as response.
SourceStd. devR2AdjustedR2PredictedR2PRESSLinear0.03580.68360.63090.52850.04602FI0.03670.75120.61300.28470.0697Quadratic0.00130.99980.99950.99860.0001SuggestedCubic0.00031.0001.0000.99910.0001AliasedPRESS: predicted residual error sum of squares.From the results of the model adequacy test, it was observed that interactive (2FI) and linear models have comparatively lower value ofR2, predicted R2, and adjusted R2. It was found that the cubic model can be aliased. Thus, the quadratic model for including linear, interactive, and quadratic terms was selected to express the effect of process factors on the WP of ASS-based bio-films. Additionally, adequacy of obtained quadratic model was investigated by Pareto analysis of variance.


## 3.3. Model Development and Statistical Analysis

The mathematical model of second-order polynomial equation (equation (3)) can be used to fit the experimental results to generate the empirical models. This equation of the model can exhibit the true correlation between WP and the selected independent factors. The obtained empirical model of quadratic form in terms of actual parameters is presented as follows:(3)WP=1.00588−0.300167Starch−1.30517Sorbitol+0.107833Agar+0.370833Tween20+0.127000Starch∗Sorbitol+0.034000Starch∗Agar−0.015000Starch∗Tween20+0.068000Sorbitol∗Agar−0.135000Sorbitol∗Tween20−0.445000Agar∗Tween20+0.047708Starch2+0.579333Sorbitol2+0.025333Agar2−0.266667Tween202.Fisher’sF-test was used to examine the statistical significance of the obtained polynomial model using ANOVA analysis. From the analysis, it was observed that the predicted model was very good in being statistically significant (Table 3). The model F-value was found to be higher (FModel = 4102.45), and acceptable low probability value (p<0.0001) showed that the predicted model was statistically significant to express WP of the films. The high value of R2 (0.9998) specified that correlation between experimental and predicted values was found to be high. The values of predicted R2 (0.9986) and the adjusted R2 (0.9995) were found to be very close to the value of R2 which is in good agreement.Table 3
ANOVA analysis for predicted second-order polynomial equation.
SourceSum of squaresdfMean squareF valuep valueModel0.0974140.00704102.45<0.0001SignificantA-starch0.000610.0006338.41<0.0001B-sorbitol0.022110.022113028.60<0.0001C-agar0.012910.01297625.63<0.0001D-Tween-200.031010.031018278.60<0.0001AB0.004010.00402376.91<0.0001AC0.000310.0003170.36<0.0001AD0.000010.000021.220.0004BC0.000110.000142.59<0.0001BD0.000210.0002107.43<0.0001CD0.002010.00201167.31<0.0001A20.014810.01488702.87<0.0001B20.008510.00855012.92<0.0001C20.000010.00009.590.0079D20.000710.0007435.04<0.0001Residual0.0000141.696E − 06Lack of fit0.0000102.375E − 06Not significantPure error0.000040.0000Cor total0.097528


## 3.4. Response Surface Analysis for Water-Vapor Permeability

BBD coupled with RSM was used to assess the effect of four selected independent factors such as ASS (1–3 g), Tween-20 (0.1–0.5 ml), agar (0.5–1.0 g), and sorbitol (0.5–1.0 ml) on WP of the ASS-based edible films. Using a generated mathematical equation (equation (2)), plots for 3D response surface were drawn as a function of two independent factors, while the other two parameters were kept at constant. Experimental results revealed that the increase in concentration of starch and agar led to the increase in WP (Figure 3(a)).Figure 3
3D surface showing the interaction impacts of process variables on WP.
(a)(b)(c)(d)(e)(f)This is because of intermolecular connections becoming high between starch and agar at high concentrations. In addition, high concentrations of starch and agar increase the free space that led to extending the intermolecular distance. Normally, increment in plasticizer concentration reduces the intermolecular bonds among the polymer chains [20]. But in this case, WP of ASS films was slowly decremented with sorbitol concentration increment (Figure 3(b)). This happened due to the ineffectiveness in reducing intermolecular hydrogen bonding between amylopectin and amylose [21–23]. Additional increament in Tween-20 concentration reduces the affinity water and available number of polar groups. Hence, WP of the films were getting decremented (Figure 3(b)). From the developed model, it was observed that the concentration of starch and sorbitol had the negative effect on WP. Since the WP needs to be minimized, these factors are considered as most effective factors. Steric-hinderance structure of the Tween-20 is also responsible for the hydrophilic/lipophilic balance (HLB) ratio and hydrophobicity [24–26].


## 4. Conclusion

The edible film was developed using the starch extracted from avocado seeds (ASS). The combinations of different concentrations of ASS (1-3g), Tween-20 (0.1-0.5ml), agar (0.5-1.0g), and sorbitol (0.5-1.0ml) were examined for the WP. The effect of the four important process factors on the water-vapor permeability (WP) of the developed films was investigated using the three-level Box–Behnken design coupled with RSM. The developed edible films seemed to be homogenous and transparent. From the experimental results, it was found that WP of the ASS-based films decreased with increment in Tween-20 and sorbitol. It is apparent that WP is well controlled by surfactant and plasticizer concentrations. A second-order equation was constructed for WP with high value of determination coefficient (R2 = 0.99). 3D response surface plots were constructed using the experimental data that can predict the relationship between process factors and WP. From the analysis, the results showed that sorbitol and Tween-20 significantly affect the WP property of ASS-based edible film.



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