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Article

Multivariate Statistical Optimization of a Modified Protocol of the Ionic Polyelectrolyte Pre-Gelation Method to Synthesize Alginate–Chitosan-Based Nanoparticles

by
Ángela J. Rodríguez-Talavera
1,2,†,
Sara Gálvez-Rodríguez
1,2,†,
Juan M. Rodríguez-Díaz
3,* and
Edgar Pérez-Herrero
1,*
1
Grupo de Investigación de Encapsulación y Evaluación Biológica Avanzada (ENCAPBIO-ULL Research Group), Departamento de Ingeniería Química y Tecnología Farmacéutica, Universidad de La Laguna, Avenida. Astrofísico Francisco Sánchez, 38206 La Laguna (Santa Cruz de Tenerife), Spain
2
Escuela de Doctorado y Estudios de Posgrado, Universidad de La Laguna, Avenida. Astrofísico Francisco Sánchez, 38206 La Laguna (Santa Cruz de Tenerife), Spain
3
Departamento de Estadística/Instituto Universitario de Física Fundamental y Matemáticas, Universidad de Salamanca, 37008 Salamanca, Spain
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Polymers 2026, 18(1), 77; https://doi.org/10.3390/polym18010077 (registering DOI)
Submission received: 15 November 2025 / Revised: 23 December 2025 / Accepted: 24 December 2025 / Published: 26 December 2025

Abstract

Alginate [ALG] and chitosan [CS] are biomaterials of importance in drug-delivery because of their ability to form ionically-crosslinked nanosystems and polyelectrolyte-complexes under mild conditions. Here, a modified ionic-polyelectrolyte-pre-gelation method, with a controlled addition of reagents and sonication throughout the process, is reported to produce ALG –CS-based NPs. A mathematical study of the effects of the factors with influence in the process on the properties of NPs has been performed using a two-phase-design-of-experiment-based procedure, something never done to our knowledge. The concentration of ALG, CS and CaCl2 and the ratio ALG:CS have significant influence on polydispersity (PDI), surface-charge (ZP) and encapsulation efficiency (EE%) of NPs. Moreover, CS flow rate has a significant effect over PDI and EE%. Thus, the values of ALG, CS and CaCl2 concentration (mg/mL), ALG:CS (mL:mL) and CS flow rate (mL/min) to obtain the minimum-expected PDI (0.168) or the optimized EE% (86.7) are {0.30, 0.79, 1.00, 2.50:1.00, 0.86} or {0.30, 1.00, 1.00, 2.50:1.00, 2.00}, with ALG:CaCl2 (mL:mL) and CaCl2 flow rate (mL/min) fixed at 2.50:0.31 and 1.25. Although most of the conditions yielded highly-negative particles (minimum-expected of −67.8 mV using 0.69, 0.30 and 0.13 mg/mL of ALG, CS and CaCl2 and ALG:CS of 2.50:0.59 mL:mL), varying the mass ratio of ALG:CS allowed for the generation of positively-charged particles (up to +21.1 mV with 0.30, 1.00 and 0.61 mg/mL of ALG, CS and CaCl2 and ALG:CS of 2.50:1.00 mL:mL). In both cases, ALG:CaCl2 (mL:mL), CaCl2 and CS flow rates (mL/min) were fixed at 2.50:0.31, 1.25 and 1.25. The model for the NPs size depends only on CS and CaCl2 concentrations, with the minimum- or maximum-expected (160 or 635 nm) at 0.30 and 1.00 or 1.00 and 0.30 of CS and CaCl2, although the method allows a wide range of sizes (144.0–1965.0 nm).
Keywords: alginate; chitosan; polymer biomaterial; nanoparticles; drug delivery system; mathematical model; factorial design alginate; chitosan; polymer biomaterial; nanoparticles; drug delivery system; mathematical model; factorial design

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MDPI and ACS Style

Rodríguez-Talavera, Á.J.; Gálvez-Rodríguez, S.; Rodríguez-Díaz, J.M.; Pérez-Herrero, E. Multivariate Statistical Optimization of a Modified Protocol of the Ionic Polyelectrolyte Pre-Gelation Method to Synthesize Alginate–Chitosan-Based Nanoparticles. Polymers 2026, 18, 77. https://doi.org/10.3390/polym18010077

AMA Style

Rodríguez-Talavera ÁJ, Gálvez-Rodríguez S, Rodríguez-Díaz JM, Pérez-Herrero E. Multivariate Statistical Optimization of a Modified Protocol of the Ionic Polyelectrolyte Pre-Gelation Method to Synthesize Alginate–Chitosan-Based Nanoparticles. Polymers. 2026; 18(1):77. https://doi.org/10.3390/polym18010077

Chicago/Turabian Style

Rodríguez-Talavera, Ángela J., Sara Gálvez-Rodríguez, Juan M. Rodríguez-Díaz, and Edgar Pérez-Herrero. 2026. "Multivariate Statistical Optimization of a Modified Protocol of the Ionic Polyelectrolyte Pre-Gelation Method to Synthesize Alginate–Chitosan-Based Nanoparticles" Polymers 18, no. 1: 77. https://doi.org/10.3390/polym18010077

APA Style

Rodríguez-Talavera, Á. J., Gálvez-Rodríguez, S., Rodríguez-Díaz, J. M., & Pérez-Herrero, E. (2026). Multivariate Statistical Optimization of a Modified Protocol of the Ionic Polyelectrolyte Pre-Gelation Method to Synthesize Alginate–Chitosan-Based Nanoparticles. Polymers, 18(1), 77. https://doi.org/10.3390/polym18010077

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