Skip to content
DraconiticResearch
Search Sources API
203,952 studies31 sourcesUpdated 20 min ago
Peer-reviewedCC BY-NC-ND 4.0NPJ Science of Food

Microwave-assisted extraction and optimization of pectin from Aegle marmelos using response surface methodology and metaheuristic algorithms

  1. 1School of Biosciences and Technology, Vellore Institute of Technology, Vellore, India
  2. 2School of Chemical Engineering, Vellore Institute of Technology, Vellore, India

Abstract

The present study aimed to evaluate the microwave-assisted extraction (MAE) of pectin from Aegle marmelos peel. The response surface methodology (RSM), genetic algorithm (GA), and particle swarm optimization (PSO) were used to optimize the process parameters to obtain a higher pectin yield. The effect of irradiation time (5–25 min), solid-to-liquid ratio (5–25 mL g−1), microwave power (150–750 W), and pH (1.0–3.0) was investigated. The results showed that the RSM, GA, and PSO models provided the best predicted optimum yields of pectin, namely 13.52%, 18.12%, and 17.97%, respectively. The optimum conditions were experimentally validated, showing good agreement with predictions (p > 0.05). Comprehensive characterization confirmed the preserved structural and physicochemical properties of the pectin, with a galacturonic acid content of 72.0 ± 0.22%. Functional evaluation revealed strong emulsifying activity (89.21%), oil-holding capacity (1.56 g g−1), and water-holding capacity (0.48 g g−1). Antioxidant and antinutritional analyses supported its potential for food and pharmaceutical applications, while its structural, physicochemical, and functional properties demonstrated similarity to commercial pectin, highlighting its sustainability.

Related

  1. Soft Computing Optimization of Industrial Robot Inverse Kinematics for Intelligent Manufacturing: A Statistical Benchmark of Metaheuristic Algorithms
    Julio Antonio Caballero-Mora, Daniel Sanin-Villa, Victoria Bello-Hernández +3
    MathematicsPeer-reviewedCC BY 4.0General mathematicsCrossref
  2. Newly Proposed Metaheuristic Optimization Algorithms: A Systematic Review of Recent Trends, Validation Practices, and Applications
    Alma-Nayeli Rodríguez-Vázquez
    MathematicsPeer-reviewedCC BY 4.0General mathematicsCrossref
  3. Process Parameter Optimization for Enhanced Compressive Strength of FDM-Printed ABS and Glass-Fibre-Reinforced ABS Using RSM and Metaheuristic Algorithms
    Jaimon Dennis Quadros, Yakub Iqbal Mogul, Ganesan Subramanian +7
    PolymersPeer-reviewedCC BYFull textMaterials & polymersEurope PMCCrossref
  4. Comparative Analysis of Traditional and Modern Extraction Techniques for Phenolic Compounds From Leontopodium and Optimization of Extraction Process Using Response Surface Methodology.
    Rule Yi, Junfeng Hao, Jian Bao +4
    Food science & nutritionPeer-reviewedCC BYFull textGeneral medicineEurope PMCPMC
  5. Ultrasound-Assisted Extraction of Bioactive Compounds from Acmella oleracea L. Leaves: Optimization by Response Surface Methodology and Comparison with Percolation
    Robert C. S. P. dos Santos, Taís V. G. Alves, Ana Carolina G. A. Freitas +5
    ACS OmegaPeer-reviewedCC BY 4.0Full textGeneral chemistryCrossref
BibTeX
@article{dixit2026microwaveassisted,
  title = {{Microwave-assisted extraction and optimization of pectin from Aegle marmelos using response surface methodology and metaheuristic algorithms}},
  author = {Snigdha Satabdi Dixit and Muruganandam L and Ganesh Moorthy I},
  journal = {NPJ Science of Food},
  year = {2026},
  month = sep,
  doi = {10.1038/s41538-026-01128-4},
  url = {https://doi.org/10.1038/s41538-026-01128-4},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Microwave-assisted extraction and optimization of pectin from Aegle marmelos using response surface methodology and metaheuristic algorithms
AU  - Snigdha Satabdi Dixit
AU  - Muruganandam L
AU  - Ganesh Moorthy I
PY  - 2026
DA  - 2026/09/15
JO  - NPJ Science of Food
DO  - 10.1038/s41538-026-01128-4
UR  - https://doi.org/10.1038/s41538-026-01128-4
AB  - The present study aimed to evaluate the microwave-assisted extraction (MAE) of pectin from Aegle marmelos peel. The response surface methodology (RSM), genetic algorithm (GA), and particle swarm optimization (PSO) were used to optimize the process parameters to obtain a higher pectin yield. The effect of irradiation time (5–25 min), solid-to-liquid ratio (5–25 mL g−1), microwave power (150–750 W), and pH (1.0–3.0) was investigated. The results showed that the RSM, GA, and PSO models provided the best predicted optimum yields of pectin, namely 13.52%, 18.12%, and 17.97%, respectively. The optimum conditions were experimentally validated, showing good agreement with predictions (p > 0.05). Comprehensive characterization confirmed the preserved structural and physicochemical properties of the pectin, with a galacturonic acid content of 72.0 ± 0.22%. Functional evaluation revealed strong emulsifying activity (89.21%), oil-holding capacity (1.56 g g−1), and water-holding capacity (0.48 g g−1). Antioxidant and antinutritional analyses supported its potential for food and pharmaceutical applications, while its structural, physicochemical, and functional properties demonstrated similarity to commercial pectin, highlighting its sustainability.
SN  - 2396-8370
ER  -