Ku C S, Mun S P
Department of Advanced Organic Materials Engineering, Chonbuk National University, Jeonju, Jeonbuk 561-756, Republic of Korea.
Bioresour Technol. 2008 Nov;99(17):8325-30. doi: 10.1016/j.biortech.2008.03.013. Epub 2008 May 5.
The extraction of anthocyanin from Bokbunja (Rubus coreanus Miq.) marc generated during traditional wine processing was optimized using response surface methodology (RSM). A face-centered cube design (FCD) consisting of 17 experimental runs, including five replicates at the center point, was used to investigate the effects of the three variables (solid-liquid ratio, time, and temperature) on anthocyanin extraction, and the results showed that the relationship between the three variables and the total anthocyanin content followed a quadratic model (R2=0.8853). In addition, the RSM analysis predicted that the optimum conditions for extraction consisted of a solid-liquid ratio of 20, a time of 60min, and a temperature of 60 degrees C. Verification tests performed under these optimum conditions gave 34.7+/-1.4mg/100g of anthocyanin, which was close to predicted value of 37.2mg/100g. Additionally, analysis of water extracts prepared using the predicted optimum conditions revealed that the carbohydrates (sugar and pectin) in Bokbunja marc underwent significant variation toward the formation of by-products (glycerol and uronic acids) during yeast fermentation, and that the amount of anthocyanin produced was reduced 10-fold when compared to the original extraction. Further, the results of HPLC-PDA-MS/MS analysis of the anthocyanins extracted from Bokbunja marc revealed the presence of six anthocyanin components, which were tentatively identified as cyanidin 3-O-sambubioside, cyanidin 3-O-xylosylrutinoside, cyanidin 3-O-rutinoside, pelargonidin 3-O-rutinoside, delphinidin 3-O-rutinoside-?, and delphinidin 3-O-glucuronide.
采用响应面法(RSM)对传统酿酒过程中产生的覆盆子(Rubus coreanus Miq.)果渣中的花青素提取工艺进行了优化。采用包含17次实验运行的面心立方设计(FCD),其中包括中心点的5次重复实验,以研究固液比、时间和温度这三个变量对花青素提取的影响。结果表明,这三个变量与总花青素含量之间的关系符合二次模型(R2 = 0.8853)。此外,RSM分析预测,提取的最佳条件为固液比20、时间60分钟和温度60℃。在这些最佳条件下进行的验证试验得到的花青素含量为34.7±1.4mg/100g,接近预测值37.2mg/100g。此外,对使用预测的最佳条件制备的水提取物进行分析发现,覆盆子果渣中的碳水化合物(糖和果胶)在酵母发酵过程中显著转化为副产物(甘油和糖醛酸),并且与原始提取物相比,产生的花青素量减少了10倍。此外,对从覆盆子果渣中提取的花青素进行HPLC-PDA-MS/MS分析的结果显示存在六种花青素成分,初步鉴定为矢车菊素3-O-桑布双糖苷、矢车菊素3-O-木糖基芸香糖苷、矢车菊素3-O-芸香糖苷、天竺葵素3-O-芸香糖苷、飞燕草素3-O-芸香糖苷-?和飞燕草素3-O-葡萄糖醛酸。