Model-based Optimization of Pectin Extraction Process

Boeun Kim, Ricardo André Fernandes Caroço, Jakob Kjøbsted Huusom, Jay H. Lee

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Commercial pectin produced through an extraction using acid is used as a gelling, thickening, emulsifying or stabilizing agent in many applications due to its gelling ability. Quality of the gel formed by pectin depends on physical and chemical characteristics of extracted pectin, such as degree of esterification (DE) and intrinsic viscosity (IV). However, since there is a trade-off between the pectin yield and quality, it becomes a challenge to decide the extraction condition using heuristic approaches. In this study, we propose a strategy for an operation optimization of the pectin extraction process using the dynamic model developed based on the first principles. In the optimization problem, the desired characteristics of pectin are considered as inequality constraints of end states. The extraction condition, i.e. temperature, pH and extraction time, are optimized to maximize a final pectin concentration satisfying given requirements according to product specific applications.
Original languageEnglish
Title of host publicationICCAS 2017 Proceedings
Number of pages5
Publisher ICROS (Institute of Control, Robotics and Systems)
Publication date2017
ISBN (Electronic)978-89-93215-13-7
Publication statusPublished - 2017
Event17th International Conference on Control, Automation and Systems (ICCAS 2017) - Jeju, Korea, Republic of
Duration: 18 Oct 201721 Oct 2017

Conference

Conference17th International Conference on Control, Automation and Systems (ICCAS 2017)
CountryKorea, Republic of
CityJeju
Period18/10/201721/10/2017

Keywords

  • Pectin extraction process
  • Model-based optimization
  • Bath process optimization

Cite this

Kim, B., André Fernandes Caroço, R., Huusom, J. K., & Lee, J. H. (2017). Model-based Optimization of Pectin Extraction Process. In ICCAS 2017 Proceedings ICROS (Institute of Control, Robotics and Systems) .