固液微波辅助提取伞花种子生物活性提取物:非机制建模、双目标优化、高效液相色谱指纹图谱和放大技术经济及敏感性分析

E. O Oke , O Adeyi , B. I Okolo , J. A Adeyi , D Nnabodo , Chiamaka Joan Ude , O. O Ajala , S. E Okhale , Jude A. Okolie , J. A Otolorin , B. K Adeoye , A. S Anyanwu
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Box-Behken Design (BBD) of Response Surface Methodology (RSM) was applied for modelling and optimizing experimental MAE factors: microwave power (520 – 1040 W), extraction time (2- 10 min), solid-liquid ratio (0.4 – 1 g/100 ml); and the responses: Total Phenolic Content (TPC) and Process Yield (PY). Adaptive Neuro-Fuzzy Inference System (ANFIS) codes were programmed in Matlab 2019 for the phenolic extract recovery prediction. Process scale-up simulation and techno-economics were performed in ASPEN Batch Process Developer (ABPD) software. Coefficients of determination (R<sup>2</sup>) of 0.9349 (BBD-RSM), 0.9959 (ANFIS) and 0.9772 (BBD-RSM), 0.9971 (ANFIS) were obtained for TPC and yield respectively. The optimal yield (24.2625%) and TPC (7.89125 mg GAE/gdw) were obtained at extraction time (2 min) with microwave power (780 W) and solid-liquid ratio (0.4 g/ml). HUS extract HPLC result contains bentulinic acid, chlorogenic acid, caffeic acid, elliagic acid, rutin and Qucertin. 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引用次数: 1

摘要

先前的研究报道了对胡籽酚类生物活性提取物(HUS)的生物学、治疗和药理学活性的评估。然而,文献中很少记录HUS的微波辅助提取(MAE)的工艺建模和优化、升级以及技术经济评估。因此,本研究提出了华中科技大学MAE的黑箱建模、优化和技术经济学。应用响应面法的Box-Behken设计(BBD)对实验MAE因素进行建模和优化:微波功率(520–1040 W)、萃取时间(2-10分钟)、固液比(0.4–1 g/100 ml);以及响应:总酚含量(TPC)和工艺产率(PY)。自适应神经模糊推理系统(ANFIS)代码在Matlab 2019中编程,用于酚类提取物回收率预测。在ASPEN Batch Process Developer(ABPD)软件中进行了工艺放大模拟和技术经济分析。TPC和收率的测定系数(R2)分别为0.9349(BBD-RSM)、0.9959(ANFIS)和0.9772(BBD-RSM)和0.9971(ANFIS。在微波功率(780W)和固液比(0.4g/ml)条件下,提取时间(2min),得到了最佳的产率(24.2625%)和TPC(7.89125mgGAE/gdw)。技术经济结果分别为5公斤、137分钟、0.0364公斤/分钟、80398美元、456000美元和2.29年。因此,从HUS中初步生产生物活性提取物在技术经济上是可行的。
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Solid-liquid microwave-assisted extraction of bioactive extract recovery from Hunteria umbellata seeds: Non-mechanistic modelling, bi-objective optimization, HPLC finger printing and scale-up techno-economics with sensitivity analysis

Previous investigations reported evaluation of biological, therapeutic and pharmacological activities of phenolic bioactive extract from Huntaria Umbellate Seed (HUS). However, process modelling and optimization, upscaling as well as techno-economic evaluation of Microwave-Assisted Extraction (MAE) of HUS are seldom documented in the literature. Therefore, this study presents black-box modelling, optimization and techno-economics of MAE of HUS. Box-Behken Design (BBD) of Response Surface Methodology (RSM) was applied for modelling and optimizing experimental MAE factors: microwave power (520 – 1040 W), extraction time (2- 10 min), solid-liquid ratio (0.4 – 1 g/100 ml); and the responses: Total Phenolic Content (TPC) and Process Yield (PY). Adaptive Neuro-Fuzzy Inference System (ANFIS) codes were programmed in Matlab 2019 for the phenolic extract recovery prediction. Process scale-up simulation and techno-economics were performed in ASPEN Batch Process Developer (ABPD) software. Coefficients of determination (R2) of 0.9349 (BBD-RSM), 0.9959 (ANFIS) and 0.9772 (BBD-RSM), 0.9971 (ANFIS) were obtained for TPC and yield respectively. The optimal yield (24.2625%) and TPC (7.89125 mg GAE/gdw) were obtained at extraction time (2 min) with microwave power (780 W) and solid-liquid ratio (0.4 g/ml). HUS extract HPLC result contains bentulinic acid, chlorogenic acid, caffeic acid, elliagic acid, rutin and Qucertin. Techno-economic results gave batch size, batch time, production rate, total capital investment, annual production cost and payback time of 5 kg, 137 mins, 0.0364 kg/min, USD80398, USD456000 and 2.29 years respectively. Therefore, preliminary bioactive extract production from HUS is techno-economically feasible.

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