with the collaboration of Iranian Food Science and Technology Association (IFSTA)

Response Surface Methodology– Driven Optimization of Pectin Extraction from Peels of an Indigenous Musa acuminata

Document Type : Research Article-en

Authors

Department of Life Sciences, Christ University, Bengaluru, India

Abstract
The current study aimed to optimize pectin extraction from the non-AIS (crude) sample variety of Musa acuminata (Yelakki) peel, which was conducted by applying Response Surface Methodology (RSM), using a citric acid-assisted extraction method. The study was conducted with RSM to systematically evaluate the individual, quadratic, and interactive effects of process variables (Citric acid concentration, extraction time, and temperature) on the pectin yield. It was carried out based on a three-factor design to determine optimal conditions and statistically significant factors. The optimum conditions for extraction were found to be a concentration of 1.5%, an extraction duration of 90 minutes, and a temperature of 61.59°C with a desirability value of 0.616. In these conditions, the yield of pectin of 2.025% was very lower, when compared with banana peel AIS (8-20%). Concentration, extraction time, and temperature showed a statistically significant effect (p < 0.05) on pectin yield. The extracted pectin was categorized as high methoxyl pectin, exhibiting a DE of 53.49%, which is slightly lower than values typically reported for conventional sources. The degree of esterification remains within the acceptable range for HM pectin and contains Methoxyl content of 4.75% and Anhydrouronic acid of 50.45%. Our findings suggest that non-AIS Musa acuminata (Yelakki) peel potentially considered as a low-cost raw material for pectin production. Future studies may focus on enhancing pectin yield by using alternative extraction methods and further refining process parameters through optimization techniques using RSM, ANN or other statistical models.

Keywords

Subjects

Authors retain the copyright. This is an open access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0)

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Volume 22, Issue 3 - Serial Number 99
July and August 2026
Pages 241-260

  • Receive Date 02 December 2025
  • Revise Date 19 March 2026
  • Accept Date 28 March 2026
  • First Publish Date 19 May 2026