Optimization of Emulsification Parameters for Preparing Hydrogel Beads Based on an Enzymatically Cross-Linkable Poly(aspartamide) Derivative
Abstract
1. Introduction
2. Results and Discussion
2.1. Synthesis and Characterization of PHEA-HP
2.2. Single-Factor Experiments
2.2.1. Effect of Oil-to-Water Ratio
2.2.2. Effect of Homogenization Rate
2.2.3. Effect of Span 80 Dosage
2.3. Optimization of the Preparation Conditions Based on BBD–RSM
2.3.1. Model Fitting of RSM
2.3.2. Impacts of Independent Variables on the Size

2.3.3. Impacts of Independent Variables on Size Distribution

2.3.4. 3D Surface Plots of Independent Variables



2.3.5. The Optimal Conditions
2.4. Characterization of Hydrogel Beads Prepared Under Optimal Conditions
3. Conclusions
4. Materials and Methods
4.1. Materials
4.2. Synthesis and Characterizations of PHEA-HP
4.3. Preparation of PHEA-HP Hydrogel Beads
4.4. Characterization of Hydrogel Beads
4.4.1. Microscopy of Hydrogel Beads
4.4.2. Size and Size Distribution
4.4.3. Scanning Electron Microscopy (SEM)
4.5. BBD-RSM
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Independent Variables | Levels | ||
|---|---|---|---|
| −1 | 0 | 1 | |
| A: Oil-to-water ratio (v/v) | 8 | 10 | 12 |
| B: Homogenization rate (rpm) | 2500 | 3000 | 3500 |
| C: Span 80 dosage (%, w/v in paraffin liquid) | 1 | 2 | 3 |
| Responses | |||
| Y1: Size (μm) | |||
| Y2: Size distribution span | |||
| Run | A (v/v) | B (rpm) | C (%, w/v) | Y1 (μm) | Y2 |
|---|---|---|---|---|---|
| 1 | 10 | 3000 | 2 | 13.7 ± 0.1 | 0.195 ± 0.011 |
| 2 | 10 | 3000 | 2 | 13.6 ± 0.2 | 0.201 ± 0.004 |
| 3 | 10 | 2500 | 3 | 19.2 ± 0.2 | 1.290 ± 0.003 |
| 4 | 10 | 3500 | 3 | 16.1 ± 0.2 | 2.336 ± 0.009 |
| 5 | 10 | 3000 | 2 | 14.2 ± 0.1 | 0.178 ± 0.008 |
| 6 | 8 | 3000 | 3 | 14.7 ± 0.1 | 1.490 ± 0.005 |
| 7 | 10 | 3000 | 2 | 14.9 ± 0.0 | 0.235 ± 0.002 |
| 8 | 12 | 3500 | 2 | 16.0 ± 0.3 | 1.340 ± 0.006 |
| 9 | 12 | 3000 | 3 | 19.7 ± 0.2 | 1.328 ± 0.011 |
| 10 | 10 | 2500 | 1 | 37.2 ± 0.3 | 1.887 ± 0.008 |
| 11 | 10 | 3000 | 2 | 15.2 ± 0.1 | 0.309 ± 0.012 |
| 12 | 8 | 3500 | 2 | 21.3 ± 0.2 | 2.143 ± 0.008 |
| 13 | 8 | 2500 | 2 | 21.1 ± 0.1 | 1.107 ± 0.001 |
| 14 | 8 | 3000 | 1 | 23.2 ± 0.3 | 1.636 ± 0.005 |
| 15 | 12 | 2500 | 2 | 20.4 ± 0.2 | 1.287 ± 0.009 |
| 16 | 12 | 3000 | 1 | 16.4 ± 0.2 | 1.114 ± 0.005 |
| 17 | 10 | 3500 | 1 | 32.1 ± 0.5 | 1.820 ± 0.012 |
| Source | Sum of Squares | df | Mean Square | F-Value | p-Value | ||
| Y1 | Model | 574.85 | 9 | 63.87 | 4.07 | 0.0389 | significant |
| A | 7.61 | 1 | 7.61 | 0.4843 | 0.5089 | ||
| B | 19.22 | 1 | 19.22 | 1.22 | 0.3051 | ||
| C | 192.08 | 1 | 192.08 | 12.23 | 0.0100 | ||
| AB | 5.29 | 1 | 5.29 | 0.3369 | 0.5798 | ||
| AC | 34.81 | 1 | 34.81 | 2.22 | 0.1801 | ||
| BC | 1.0000 | 1 | 1.0000 | 0.0637 | 0.8080 | ||
| A2 | 5.42 | 1 | 5.42 | 0.3454 | 0.5752 | ||
| B2 | 178.72 | 1 | 178.72 | 11.38 | 0.0119 | ||
| C2 | 118.94 | 1 | 118.94 | 7.58 | 0.0284 | ||
| Residual | 109.91 | 7 | 15.70 | ||||
| Lack of Fit | 107.89 | 3 | 35.96 | 70.93 | 0.0006 | significant | |
| Pure Error | 2.03 | 4 | 0.5070 | ||||
| Cor Total | 684.76 | 16 | |||||
| C.V.: 20.48% | R2 = 0.8395 | Adjusted R2 = 0.6331 | |||||
| Source | Sum of Squares | df | Mean Square | F-Value | p-Value | ||
| Y2 | Model | 8.13 | 9 | 0.9028 | 405.51 | <0.0001 | significant |
| A | 0.2135 | 1 | 0.2135 | 95.91 | <0.0001 | ||
| B | 0.5346 | 1 | 0.5346 | 240.12 | <0.0001 | ||
| C | 0.0000 | 1 | 0.0000 | 0.0095 | 0.9251 | ||
| AB | 0.2416 | 1 | 0.2416 | 108.51 | <0.0001 | ||
| AC | 0.0324 | 1 | 0.0324 | 14.55 | 0.0066 | ||
| BC | 0.3097 | 1 | 0.3097 | 139.11 | <0.0001 | ||
| A2 | 0.6811 | 1 | 0.6811 | 305.94 | <0.0001 | ||
| B2 | 3.00 | 1 | 3.00 | 1345.47 | <0.0001 | ||
| C2 | 2.47 | 1 | 2.47 | 1110.30 | <0.0001 | ||
| Residual | 0.0156 | 7 | 0.0022 | ||||
| Lack of Fit | 0.0048 | 3 | 0.0016 | 0.5851 | 0.6560 | not significant | |
| Pure Error | 0.0108 | 4 | 0.0027 | ||||
| Cor Total | 8.14 | 16 | |||||
| C.V.: 4.03% | R2 = 0.9981 | Adjusted R2 = 0.9956 | |||||
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Liu, D.; Zhang, G. Optimization of Emulsification Parameters for Preparing Hydrogel Beads Based on an Enzymatically Cross-Linkable Poly(aspartamide) Derivative. Gels 2026, 12, 230. https://doi.org/10.3390/gels12030230
Liu D, Zhang G. Optimization of Emulsification Parameters for Preparing Hydrogel Beads Based on an Enzymatically Cross-Linkable Poly(aspartamide) Derivative. Gels. 2026; 12(3):230. https://doi.org/10.3390/gels12030230
Chicago/Turabian StyleLiu, Danqing, and Guangyan Zhang. 2026. "Optimization of Emulsification Parameters for Preparing Hydrogel Beads Based on an Enzymatically Cross-Linkable Poly(aspartamide) Derivative" Gels 12, no. 3: 230. https://doi.org/10.3390/gels12030230
APA StyleLiu, D., & Zhang, G. (2026). Optimization of Emulsification Parameters for Preparing Hydrogel Beads Based on an Enzymatically Cross-Linkable Poly(aspartamide) Derivative. Gels, 12(3), 230. https://doi.org/10.3390/gels12030230

