Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root
Nauclea latifolia root (NLR) extract is one of phytochemicals used to treat various ailments in most of developing countries. This investigation focuses on modelling, optimization and computer-aided simulation of phenolic solid-liquid extraction from NLR. The extraction experiments were conducted at...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-01-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844020326980 |
| _version_ | 1819160731742896128 |
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| author | E.O. Oke B.I. Okolo O. Adeyi O.O. Agbede P.C. Nnaji J.A. Adeyi K.A. Osoh C.J. Ude |
| author_facet | E.O. Oke B.I. Okolo O. Adeyi O.O. Agbede P.C. Nnaji J.A. Adeyi K.A. Osoh C.J. Ude |
| author_sort | E.O. Oke |
| collection | DOAJ |
| description | Nauclea latifolia root (NLR) extract is one of phytochemicals used to treat various ailments in most of developing countries. This investigation focuses on modelling, optimization and computer-aided simulation of phenolic solid-liquid extraction from NLR. The extraction experiments were conducted at extraction temperature (ET: 33.79–76.21 °C), process time (PT: 2.79–4.21 h) and solid-liquid ratio (SLC: 0.007929–0.018355 g/ml). Regression models (RM) were developed, using Response Surface Methodology (RSM) in Design Expert software, for predicting and optimizing total phenolic content (TPC) and total flavonoid content (TFC) and also compared with adaptive neuro-fuzzy inference system (ANFIS) modelling in Matlab environment. Aspen Batch Process Developer (ABPD) V10 was used to simulate phenolic extract production and perform material balance of the process. Both Coefficients of determination (R2) of RSM (TFC: 0.9996, TPC: 0.9932) and ANFIS models (TFC: 0.99998, TPC: 0.9982) were compared and predicted satisfactorily. Optimization results show: ET (2.79 h), PT (38.8 °C), SLC (0.0198 g/ml), TFC (25.92 25.92 μg RE/g) and TPC (8.47 mg GAE/g). The phenolic extraction base case simulation results gave batch throughput, annual throughput, number of batches per year 0.0089 g/batch, 0.139 g/year and 1019 batches, respectively. The ABPD predicted TPC and experimental TPC results were compared and gave mean relative deviation error of 3.75%. Thus, ABPD simulation model is reasonably reliable for the scale-up design engineering of the phenolic extract production from NLR. |
| first_indexed | 2024-12-22T17:01:07Z |
| format | Article |
| id | doaj.art-327a2ae68ceb469aae5e6098b9ca5230 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-12-22T17:01:07Z |
| publishDate | 2021-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-327a2ae68ceb469aae5e6098b9ca52302022-12-21T18:19:20ZengElsevierHeliyon2405-84402021-01-0171e05856Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia rootE.O. Oke0B.I. Okolo1O. Adeyi2O.O. Agbede3P.C. Nnaji4J.A. Adeyi5K.A. Osoh6C.J. Ude7Chemical Engineering Department, Michael Okpara University of Agriculture, Nigeria; Corresponding author.Chemical Engineering Department, Michael Okpara University of Agriculture, NigeriaChemical Engineering Department, Michael Okpara University of Agriculture, NigeriaChemical Engineering Department, Ladoke Akintola University of Technology, NigeriaChemical Engineering Department, Michael Okpara University of Agriculture, NigeriaMechanical Engineering Department, Ladoke Akintola University of Technology, NigeriaDepartment of Chemistry, Akwa Ibom State College of Science and Technology, NigeriaChemical Engineering Department, Michael Okpara University of Agriculture, NigeriaNauclea latifolia root (NLR) extract is one of phytochemicals used to treat various ailments in most of developing countries. This investigation focuses on modelling, optimization and computer-aided simulation of phenolic solid-liquid extraction from NLR. The extraction experiments were conducted at extraction temperature (ET: 33.79–76.21 °C), process time (PT: 2.79–4.21 h) and solid-liquid ratio (SLC: 0.007929–0.018355 g/ml). Regression models (RM) were developed, using Response Surface Methodology (RSM) in Design Expert software, for predicting and optimizing total phenolic content (TPC) and total flavonoid content (TFC) and also compared with adaptive neuro-fuzzy inference system (ANFIS) modelling in Matlab environment. Aspen Batch Process Developer (ABPD) V10 was used to simulate phenolic extract production and perform material balance of the process. Both Coefficients of determination (R2) of RSM (TFC: 0.9996, TPC: 0.9932) and ANFIS models (TFC: 0.99998, TPC: 0.9982) were compared and predicted satisfactorily. Optimization results show: ET (2.79 h), PT (38.8 °C), SLC (0.0198 g/ml), TFC (25.92 25.92 μg RE/g) and TPC (8.47 mg GAE/g). The phenolic extraction base case simulation results gave batch throughput, annual throughput, number of batches per year 0.0089 g/batch, 0.139 g/year and 1019 batches, respectively. The ABPD predicted TPC and experimental TPC results were compared and gave mean relative deviation error of 3.75%. Thus, ABPD simulation model is reasonably reliable for the scale-up design engineering of the phenolic extract production from NLR.http://www.sciencedirect.com/science/article/pii/S2405844020326980ExtractionSimulationOptimizationBatch throughput |
| spellingShingle | E.O. Oke B.I. Okolo O. Adeyi O.O. Agbede P.C. Nnaji J.A. Adeyi K.A. Osoh C.J. Ude Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root Heliyon Extraction Simulation Optimization Batch throughput |
| title | Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root |
| title_full | Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root |
| title_fullStr | Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root |
| title_full_unstemmed | Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root |
| title_short | Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root |
| title_sort | black box modelling bi objective optimization and aspen batch simulation of phenolic compound extraction from nauclea latifolia root |
| topic | Extraction Simulation Optimization Batch throughput |
| url | http://www.sciencedirect.com/science/article/pii/S2405844020326980 |
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