Fahrudin Fahmi Ilman, Phongthai Suphat, Wirjantoro Tri Indrarini, Intipunya Pilairuk
PhD Program in Food Science and Technology (International Program), Division of Food Science and Technology, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai 50100, Thailand.
Division of Food Science and Technology, Faculty of Agro-Industry, Chiang Mai University, Chiang Mai 50100, Thailand.
Foods. 2025 Jun 23;14(13):2189. doi: 10.3390/foods14132189.
This study investigated the use of supercritical carbon dioxide (CO) to extract bioactive compounds from Thai fingerroot (), focusing on the effects of pressure, temperature, CO flow rate, and ethanol co-solvent concentration. A central composite design within a response surface methodology framework was employed to optimize the total extraction yield, total phenolic content (TPC), and total flavonoid content (TFC). Conventional ethanol maceration was used as a benchmark. High-performance liquid chromatography identified the major compounds in the extracts, such as pinostrobin and pinocembrin. The results showed that the yield, TPC, and TFC increased with higher pressure, CO flow rate, and co-solvent levels, whereas higher temperatures had a negative effect ( ≤ 0.05). Interactions between pressure and temperature favored the yield and TPC but not TFC. The optimal conditions-250 bar, 45 °C, 3 L/min CO flow rate, and 100% ethanol-produced a yield of 28.67%, TPC of 354.578 mg GAE/g, and TFC of 273.479 mg QE/g. These values exceeded those obtained using conventional extraction (9.91% yield, 332.86 mg GAE/g TPC, and 77.57 mg QE/g TFC at 60 min). The regression models showed strong predictive accuracy (R > 0.9). Pinostrobin and pinocembrin were the dominant phenolic compounds. These findings demonstrate the superior efficiency of supercritical CO extraction for isolating phenolic compounds from .
本研究调查了使用超临界二氧化碳(CO₂)从泰国姜黄中提取生物活性化合物,重点关注压力、温度、CO₂流速和乙醇共溶剂浓度的影响。采用响应面法框架内的中心复合设计来优化总提取率、总酚含量(TPC)和总黄酮含量(TFC)。传统乙醇浸渍法用作基准。高效液相色谱法鉴定了提取物中的主要化合物,如豆甾醇和松属素。结果表明,提取率、TPC和TFC随着压力、CO₂流速和共溶剂水平的提高而增加,而较高温度则产生负面影响(P≤0.05)。压力和温度之间的相互作用有利于提取率和TPC,但对TFC不利。最佳条件为250巴、45℃、3升/分钟的CO₂流速和100%乙醇,提取率为28.67%,TPC为354.578毫克没食子酸当量/克,TFC为273.479毫克槲皮素当量/克。这些值超过了使用传统提取法(60分钟时提取率9.91%,TPC为332.86毫克没食子酸当量/克,TFC为77.57毫克槲皮素当量/克)获得的值。回归模型显示出很强的预测准确性(R²>0.9)。豆甾醇和松属素是主要的酚类化合物。这些发现证明了超临界CO₂萃取法从泰国姜黄中分离酚类化合物的卓越效率。