响应面法对小球藻超临界提取工艺的参数研究及优化

IF 4.3 Q2 CHEMISTRY, PHYSICAL
Milap G. Nayak , Reena D. Gamit
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引用次数: 0

摘要

普通小球藻具有脂质含量高、生长快、易于栽培和对环境适应性强等优点,是潜在的燃料生产原料之一。以普通小球藻为原料,进行超临界CO2萃取油的实验研究。在参数化研究中考察了温度、压力和萃取时间对油收率的影响。通过完整的sovov传质模型进一步分析了采出油随时间的变化,有效地描述了恒定萃取速率(CER)和下降萃取速率(FER)周期。具有高R2和低残差的sovov模型表明,采油产量预测值与实测值吻合较好。采用中心复合设计(CCD)和响应面法(RSM)对工艺参数进行了微调。高R2和R2adj值证实了二次模型在描述单一变量和相互作用变量的影响方面的有效性。方差分析表明,温度、温度与时间的交互作用、压力与时间的p值较低,对提取率有显著影响。方差分析由于其较低的变异系数验证了模型的准确性。在32.6°C、25.4 MPa、130.2 min的优化条件下,预测产率为42.85 wt%,实际产率为41.94 wt%,结果吻合较好。HPLC分析还检测到其他脂肪酸,包括23.73%亚油酸和55.8%油酸。由于其高碘和皂化值以及低酸值,发现该油适合生产生物柴油。普通小球藻有潜力成为可再生能源应用的可行和可扩展的原料。此外,SCCO2提取及其RSM方法的优化显示了一种有效且统计上合理的藻油提取方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Parametric study and optimisation of supercritical extraction of Chlorella Vulgaris microalgae using Response surface methodology

Parametric study and optimisation of supercritical extraction of Chlorella Vulgaris microalgae using Response surface methodology
Microalgae Chlorella vulgaris is one of the potential feedstocks for fuel generation due to its high lipid content, rapid growth, easier cultivation and adaptability to the environment. In this work, Chlorella vulgaris microalgae were selected as the feedstock for the extraction of oil using supercritical CO2. The effects of temperature, pressure, and extraction time on oil yield were investigated in parametric research. Extracted oil yield over time was further analyzed by the full Sovová mass transfer model, describing both the constant extraction rate (CER) and falling extraction rate (FER) periods effectively. Sovová model with high R2 and low residual error showed a close agreement between predicted and observed values of oil extraction yield. Process parameters were fine-tuned using Central Composite Design (CCD) and Response Surface Methodology (RSM). High R2 and R2adj values confirmed the effectiveness of a quadratic model in describing the effects of both single and interaction variables. Analysis of variance (ANOVA) study revealed that temperature, the interactive effect between temperature and time, and pressure and time have a significant effect on extraction yield due to their lower p-value. ANOVA validated the accuracy of the model due to its lower coefficient of variation. A close agreement in predicted yield of 42.85 wt% and an actual yield of 41.94 wt% was observed at optimized conditions of 32.6 °C, 25.4 MPa, and 130.2 min. Other fatty acids, including 23.73 % linoleic acid and 55.8 % oleic acid, were detected by HPLC analysis. The oil is found to be suitable for the production of biodiesel due to its high iodine and saponification values, along with low acid values. Chlorella vulgaris has the potential to be a feasible and scalable feedstock for renewable energy applications. Also, extraction involving SCCO2 and its optimisation involving the RSM method showed an effective and statistically sound method for algal oil extraction.
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来源期刊
Chemical Physics Impact
Chemical Physics Impact Materials Science-Materials Science (miscellaneous)
CiteScore
2.60
自引率
0.00%
发文量
65
审稿时长
46 days
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