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

doi:10.1016/j.aej.2021.10.049

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 journal › Article › peer-review

7 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 language	English
Pages (from-to)	5235-5252
Number of pages	18
Journal	Alexandria Engineering Journal
Volume	61
Issue number	7
Early online date	17 Nov 2021
DOIs	https://doi.org/10.1016/j.aej.2021.10.049
Publication status	Published - 31 Jul 2022

Bibliographical note

Funding Information:
The authors wish to appreciate the support provided by the Management of Landmark University, Nigeria for publishing this article.

Availability of data and material
Not applicable

Funding

The authors wish to appreciate the support provided by the Management of Landmark University, Nigeria for publishing this article.

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

General Engineering

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Adeyi, O., Adeyi, A. J., Oke, E. O., Okolo, B. I., Olalere, A. O., Otolorin, J. A., Okhale, S., Taiwo, A. E., Oladunni, S. O., & Akatobi, K. N. (2022). Process integration for food colorant production from Hibiscus sabdariffa calyx: A case of multi-gene genetic programming (MGGP) model and techno-economics. Alexandria Engineering Journal, 61(7), 5235-5252. https://doi.org/10.1016/j.aej.2021.10.049

Adeyi, O, Adeyi, AJ, Oke, EO, Okolo, BI, Olalere, AO, Otolorin, JA, Okhale, S, Taiwo, AE, Oladunni, SO & Akatobi, KN 2022, 'Process integration for food colorant production from Hibiscus sabdariffa calyx: A case of multi-gene genetic programming (MGGP) model and techno-economics', Alexandria Engineering Journal, vol. 61, no. 7, pp. 5235-5252. https://doi.org/10.1016/j.aej.2021.10.049

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

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).",

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

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

note = "Funding Information: The authors wish to appreciate the support provided by the Management of Landmark University, Nigeria for publishing this article. Availability of data and material Not applicable",

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doi = "10.1016/j.aej.2021.10.049",

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T1 - Process integration for food colorant production from Hibiscus sabdariffa calyx

T2 - A case of multi-gene genetic programming (MGGP) model and techno-economics

AU - Adeyi, Oladayo

AU - Adeyi, Abiola J.

AU - Oke, Emmanuel O.

AU - Okolo, Bernard I.

AU - Olalere, Abayomi O.

AU - Otolorin, John A.

AU - Okhale, Samuel

AU - Taiwo, Abiola E.

AU - Oladunni, Sunday O.

AU - Akatobi, Kelechi N.

N1 - Funding Information: The authors wish to appreciate the support provided by the Management of Landmark University, Nigeria for publishing this article. Availability of data and material Not applicable

PY - 2022/7/31

Y1 - 2022/7/31

N2 - 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).

AB - 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).

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KW - Heat assisted technology based process

KW - Hibiscus sabdariffa calyx

KW - Multi-gene genetic programming

KW - Techno-economics

KW - Unit production cost

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

Abstract

Bibliographical note

Funding

Keywords

ASJC Scopus subject areas

Access to Document

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