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Process optimization, scale-up studies, economic analysis and risk assessment of phenolic rich bioactive extracts production from Carica papaya L. leaves via heat-assisted extraction technology

This work investigated the influence of process variables of extraction temperature (35–55 °C), solid to liquid ratio (1:20–1:50 g/mL) and time (100–200 min) on the total phenolic content (TPC) and yield (EY) of Carica papaya leaves (CPL) extracts using Box-Behnken experimental design available in D...

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Autores principales: Adeyi, Oladayo, Oke, Emmanuel O., Okolo, Bernard I., Adeyi, Abiola J., Otolorin, John A., Nwosu-Obieogu, Kenechi, Adeyanju, James A., Dzarma, Goziya William, Okhale, Samuel, Ogu, Denilson, Onu, Precious N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991258/
https://www.ncbi.nlm.nih.gov/pubmed/35399389
http://dx.doi.org/10.1016/j.heliyon.2022.e09216
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author Adeyi, Oladayo
Oke, Emmanuel O.
Okolo, Bernard I.
Adeyi, Abiola J.
Otolorin, John A.
Nwosu-Obieogu, Kenechi
Adeyanju, James A.
Dzarma, Goziya William
Okhale, Samuel
Ogu, Denilson
Onu, Precious N.
author_facet Adeyi, Oladayo
Oke, Emmanuel O.
Okolo, Bernard I.
Adeyi, Abiola J.
Otolorin, John A.
Nwosu-Obieogu, Kenechi
Adeyanju, James A.
Dzarma, Goziya William
Okhale, Samuel
Ogu, Denilson
Onu, Precious N.
author_sort Adeyi, Oladayo
collection PubMed
description This work investigated the influence of process variables of extraction temperature (35–55 °C), solid to liquid ratio (1:20–1:50 g/mL) and time (100–200 min) on the total phenolic content (TPC) and yield (EY) of Carica papaya leaves (CPL) extracts using Box-Behnken experimental design available in Design Expert software. Bi-objective process optimization was also carried out using the desirability function algorithm. The optimum process variables were later used to design an integrated process for the production of CPL extracts with the assistance of SuperPro Designer software. Scale-up studies and economic analysis for CPL extracts production were investigated in the range of 0.638–20.431 × 10(3) kg CPL extracts/y to determine the most economically feasible production capacity based on the minimum unit production cost (UPC) of CPL extracts. The risk and sensitivity analyses of the most economically feasible production scale were carried out using the Monte Carlo simulation in Oracle Crystal Ball software. Process variables had notable influences on the TPC and EY of CPL extracts. The extraction temperature of 35 °C, solid to liquid ratio of 40.25 g/mL and time of 100 min gave the optimum TPC of 74.65 mg GAE/g d.b and EY of 18.76 % (w/w). HPLC results indicated that CPL extracts were rich in gallic, betulinic, chlorogenic, ellagic, ferulic and caffeic acids. The designed integrated process showed similar behavior with the laboratory scale of 0.18758 g CPL extracts/batch. The preliminary techno-economic analysis indicated that plant capacity has a strong dependence on the material & energy demands and process economics. Plant capacity of 19.857 × 10(3) kg CPL extracts/y possessed the least UPC and was selected as the most economically feasible scale. The certainty of obtaining base case UPC value of 525.21 US$/kg CPL extracts was 75.20%. Sensitivity analysis showed that extracts recovery, CPL/water, centrifuge purchase cost, extraction time, extractor purchase cost and extraction temperature contributed -5.3 %, +42.8%, +4.0%, +47.1%, +0.1%, and +0.5%, respectively to the variance in UPC of CPL extracts.
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spelling pubmed-89912582022-04-09 Process optimization, scale-up studies, economic analysis and risk assessment of phenolic rich bioactive extracts production from Carica papaya L. leaves via heat-assisted extraction technology Adeyi, Oladayo Oke, Emmanuel O. Okolo, Bernard I. Adeyi, Abiola J. Otolorin, John A. Nwosu-Obieogu, Kenechi Adeyanju, James A. Dzarma, Goziya William Okhale, Samuel Ogu, Denilson Onu, Precious N. Heliyon Research Article This work investigated the influence of process variables of extraction temperature (35–55 °C), solid to liquid ratio (1:20–1:50 g/mL) and time (100–200 min) on the total phenolic content (TPC) and yield (EY) of Carica papaya leaves (CPL) extracts using Box-Behnken experimental design available in Design Expert software. Bi-objective process optimization was also carried out using the desirability function algorithm. The optimum process variables were later used to design an integrated process for the production of CPL extracts with the assistance of SuperPro Designer software. Scale-up studies and economic analysis for CPL extracts production were investigated in the range of 0.638–20.431 × 10(3) kg CPL extracts/y to determine the most economically feasible production capacity based on the minimum unit production cost (UPC) of CPL extracts. The risk and sensitivity analyses of the most economically feasible production scale were carried out using the Monte Carlo simulation in Oracle Crystal Ball software. Process variables had notable influences on the TPC and EY of CPL extracts. The extraction temperature of 35 °C, solid to liquid ratio of 40.25 g/mL and time of 100 min gave the optimum TPC of 74.65 mg GAE/g d.b and EY of 18.76 % (w/w). HPLC results indicated that CPL extracts were rich in gallic, betulinic, chlorogenic, ellagic, ferulic and caffeic acids. The designed integrated process showed similar behavior with the laboratory scale of 0.18758 g CPL extracts/batch. The preliminary techno-economic analysis indicated that plant capacity has a strong dependence on the material & energy demands and process economics. Plant capacity of 19.857 × 10(3) kg CPL extracts/y possessed the least UPC and was selected as the most economically feasible scale. The certainty of obtaining base case UPC value of 525.21 US$/kg CPL extracts was 75.20%. Sensitivity analysis showed that extracts recovery, CPL/water, centrifuge purchase cost, extraction time, extractor purchase cost and extraction temperature contributed -5.3 %, +42.8%, +4.0%, +47.1%, +0.1%, and +0.5%, respectively to the variance in UPC of CPL extracts. Elsevier 2022-03-31 /pmc/articles/PMC8991258/ /pubmed/35399389 http://dx.doi.org/10.1016/j.heliyon.2022.e09216 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Adeyi, Oladayo
Oke, Emmanuel O.
Okolo, Bernard I.
Adeyi, Abiola J.
Otolorin, John A.
Nwosu-Obieogu, Kenechi
Adeyanju, James A.
Dzarma, Goziya William
Okhale, Samuel
Ogu, Denilson
Onu, Precious N.
Process optimization, scale-up studies, economic analysis and risk assessment of phenolic rich bioactive extracts production from Carica papaya L. leaves via heat-assisted extraction technology
title Process optimization, scale-up studies, economic analysis and risk assessment of phenolic rich bioactive extracts production from Carica papaya L. leaves via heat-assisted extraction technology
title_full Process optimization, scale-up studies, economic analysis and risk assessment of phenolic rich bioactive extracts production from Carica papaya L. leaves via heat-assisted extraction technology
title_fullStr Process optimization, scale-up studies, economic analysis and risk assessment of phenolic rich bioactive extracts production from Carica papaya L. leaves via heat-assisted extraction technology
title_full_unstemmed Process optimization, scale-up studies, economic analysis and risk assessment of phenolic rich bioactive extracts production from Carica papaya L. leaves via heat-assisted extraction technology
title_short Process optimization, scale-up studies, economic analysis and risk assessment of phenolic rich bioactive extracts production from Carica papaya L. leaves via heat-assisted extraction technology
title_sort process optimization, scale-up studies, economic analysis and risk assessment of phenolic rich bioactive extracts production from carica papaya l. leaves via heat-assisted extraction technology
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8991258/
https://www.ncbi.nlm.nih.gov/pubmed/35399389
http://dx.doi.org/10.1016/j.heliyon.2022.e09216
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