在本次研究中，使用超臨界流體萃取的技術，以二氧化碳作為萃取溶劑，萃取柚子花中的精油，且加以探討及分析在不同的溫度和不同的壓力下兩種因素條件對於精油產率造成的影響，並於動態萃取中使用32的實驗設計法，設定溫度條件為:40oC、50oC、60oC，壓力條件為:2000psi、3000psi、4000psi，萃取流量固定為30NL/hr且每組重複試驗三次，共進行27組試驗。實驗結束後，對實驗結果數據進行Anova雙因子變異數分析與二階回歸，探討各項因子對於精油產率的影響以及因子與因子間交互作用下的顯著性，並以其數據導入Excel繪製回歸線圖與使用MATLAB繪製反應曲面圖，再對於二階模型分析得出實驗範圍中最佳的溫度與壓力條件和最佳精油產率，爾後再與索氏萃取法中萃取的柚子花精油之粗脂肪率對比超臨界流體萃取法的產率是否一致。
研究結果經迴歸分析顯示，在壓力4000psi、溫度50oC下，可以得出最大預估產率2.16wt%，得出壓力是產率最大的變因。
In this study, supercritical fluid extraction (SFE) technology was used with carbon dioxide as the extracting solvent to extract essential oil from Pummelo flowers. The effects of different temperature and pressure conditions on the yield of essential oil were investigated and analyzed. A 32 experimental design method was used in dynamic extraction with temperature conditions set at 40°C, 50°C, 60°C and pressure conditions set at 2000 psi, 3000 psi, and 4000 psi. The extraction flow rate was fixed at 30 NL/hr, and each experiment was repeated three times, resulting in a total of 27 experimental groups.After the experiment, ANOVA two-factor analysis of variance and second-order regression were performed on the experimental data to investigate the impact of various factors on the yield of essential oil and the significance of the interaction between factors. The data was imported into Excel to create a regression line chart and MATLAB was used to create a response surface plot. The optimal temperature and pressure conditions and the optimal yield of essential oil were determined by analyzing the second-order model within the experimental range. Finally, the crude fat rate of Pummelo flower essential oil extracted by SFE was compared with that obtained by Soxhlet extraction to determine if the yields were consistent.
The research results, as analyzed through regression analysis, indicate that at a pressure of 4000 psi and a temperature of 50°C, the maximum estimated yield of 2.16 wt% can be achieved. The analysis reveals that pressure is the most significant factor influencing the yield.
