Optimization of Microfluidic Preparation for Calcium Alginate Microspheres Based on Response Surface Methodology

Although calcium alginate microspheres prepared by microfluidic methods have been widely investigated, the combined effects of dispersed-phase composition, continuous-phase properties, and surfactant combinations on microsphere formation remain insufficiently understood. In this study, a microfluidic system was established using sodium alginate as the aqueous phase, mineral oil as the continuous phase, and calcium chloride as the receiving phase. Response surface methodology was applied to model and optimize the key parameters involved in microsphere formation. The regression model showed good fit and reliable predictive ability. Under the optimized conditions, validation experiments yielded an average target-size fraction of 81.25%, which agreed well with the predicted value, demonstrating the feasibility and reproducibility of the optimized process. Biological evaluation showed that the optimized alginate microspheres exhibited no significant cytotoxicity toward BxPC-3 cells and maintained high cell viability, as confirmed by Live/Dead staining and CCK-8 assay. Confocal imaging further showed that the encapsulated BxPC-3 cells remained highly viable and formed three-dimensional clusters within the alginate matrix. These findings provide a reproducible microfluidic approach for generating calcium alginate microspheres with potential utility in cell encapsulation, three-dimensional culture, and related biomedical applications.

Authors

Institutions

Publication Details

Journal
Bioengineering
Published
2026-09-30
DOI
https://doi.org/10.3390/bioengineering13101144
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Optimization of Microfluidic Preparation for Calcium Alginate Microspheres Based on Response Surface Methodology

Liang Lu, Yu Liu, Xing Zhang, Zhenbin Zhang et al.
Bioengineering
3D Printing in Biomedical Research
article

Optimization of Microfluidic Preparation for Calcium Alginate Microspheres Based on Response Surface Methodology

Liang Lu, Yu Liu, Xing Zhang, Zhenbin Zhang, Na Li, Yuanbo Gao
article en

Abstract

Although calcium alginate microspheres prepared by microfluidic methods have been widely investigated, the combined effects of dispersed-phase composition, continuous-phase properties, and surfactant combinations on microsphere formation remain insufficiently understood. In this study, a microfluidic system was established using sodium alginate as the aqueous phase, mineral oil as the continuous phase, and calcium chloride as the receiving phase. Response surface methodology was applied to model and optimize the key parameters involved in microsphere formation. The regression model showed good fit and reliable predictive ability. Under the optimized conditions, validation experiments yielded an average target-size fraction of 81.25%, which agreed well with the predicted value, demonstrating the feasibility and reproducibility of the optimized process. Biological evaluation showed that the optimized alginate microspheres exhibited no significant cytotoxicity toward BxPC-3 cells and maintained high cell viability, as confirmed by Live/Dead staining and CCK-8 assay. Confocal imaging further showed that the encapsulated BxPC-3 cells remained highly viable and formed three-dimensional clusters within the alginate matrix. These findings provide a reproducible microfluidic approach for generating calcium alginate microspheres with potential utility in cell encapsulation, three-dimensional culture, and related biomedical applications.

BioengineeringVol. 13(10)
University of Science and Technology of China (CN), Chinese Academy of Sciences (CN), Institute of Metal Research (CN), Shenyang University (CN)
Openalex Percentile: Top 22%
3D Printing in Biomedical Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Optimization of Microfluidic Preparation for Calcium Alginate Microspheres Based on Response Surface Methodology — Liang Lu, Yu Liu, et al. · Bioengineering (2026) | TGRS Research Map | TGRS