Process integration for food colorant production from Hibiscus sabdariffa calyx: A case of multi-gene genetic programming (MGGP) model and techno-economics

Oladayo Adeyi, Abiola J. Adeyi, Emmanuel O. Oke, Bernard I. Okolo, Abayomi O. Olalere, John A. Otolorin, Samuel Okhale, Abiola E. Taiwo, Sunday O. Oladunni, Kelechi N. Akatobi

Research output: Contribution to journalArticlepeer-review

3 Citations (SciVal)

Abstract

This work presents an integrated heat-assisted extraction process for the production of crude anthocyanins powder (CAnysP) from Hibiscus sabdariffa calyx using SuperPro Designer. The influence of process scale-up (0.04 -1000L) and variables (temperature, time and ethanol proportion in solvent) were investigated by adopting a circumscribed central composite design on techno-economic parameters such as annual production rate (APR) and unit production cost (UPC) CAnysP. The individual runs in the CCCD were taken as different process scenario and simulated independently. Multi-gene genetic programming (MGGP) was further used to develop robust predictive models. The robustness of the model and sensitivity analysis were ascertained using the Monte Carlo simulation. The process scenario at 30 min, 30 °C, 50% and 1000 L possessed the highest CAnysP APR and lowest UPC. MGGP- models predicted R2 = 0.9984 for CAnysP APR and R2 = 0.9643 for UPC and certainty (99.98% for CAnysP APR and 98.47% for UPC).

Original languageEnglish
Pages (from-to)5235-5252
Number of pages18
JournalAlexandria Engineering Journal
Volume61
Issue number7
Early online date17 Nov 2021
DOIs
Publication statusPublished - 31 Jul 2022

Keywords

  • Annual production rate
  • Heat assisted technology based process
  • Hibiscus sabdariffa calyx
  • Multi-gene genetic programming
  • Techno-economics
  • Unit production cost

ASJC Scopus subject areas

  • Engineering(all)

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