Dubey Kashyap Kumar, Goel Nitika
Microbial Biotechnology Laboratory, University Institute of Engineering and Technology, MD University, Rohtak, Haryana 124001, India.
ScientificWorldJournal. 2013 Nov 13;2013:469674. doi: 10.1155/2013/469674. eCollection 2013.
Present work investigated an apposite and efficient method for extraction of betulinic acid (BA) from the bark of Ziziphus jujubae. Various extraction methods like stirring extraction, soxhlet extraction, ultrasonic extraction, and microwave assisted extraction (MAE) were evaluated for increasing recovery percentage of BA. From the raffinate so obtained, BA was isolated. Thin layer chromatography (TLC) was used to analyze the extract and high performance liquid chromatography (HPLC) for quantification. The results revealed that the percentage extraction of BA from Z. jujubae by MAE was more proficient. As recovery percentage of BA by MAE technique turned out to be maximum, by using response surface methodology (RSM), three process parameters (pH, temperature, and time) were optimized by MAE and it was observed that the optimum parameters (pH 6.5, temp. 70.23°C, and time 3.5 min) gave the maximum recovery of BA (0.44% w/w). To validate the RSM model, experiments were performed and the highest recovery of BA was found to be 0.4% w/w which is ±0.04% to the predicted value. Henceforth the extraction efficiency and the substantial saving of time by MAE was more capable than the other extraction techniques.
目前的工作研究了一种从酸枣树皮中提取桦木酸(BA)的合适且有效的方法。对搅拌萃取、索氏萃取、超声萃取和微波辅助萃取(MAE)等各种萃取方法进行了评估,以提高BA的回收率。从所得萃余物中分离出BA。使用薄层色谱(TLC)分析提取物,并用高效液相色谱(HPLC)进行定量。结果表明,MAE从酸枣中提取BA的效率更高。由于MAE技术的BA回收率最高,因此采用响应面法(RSM)对MAE的三个工艺参数(pH、温度和时间)进行了优化,结果发现最佳参数(pH 6.5、温度70.23°C和时间3.5分钟)可使BA的回收率达到最高(0.44% w/w)。为验证RSM模型,进行了实验,发现BA的最高回收率为0.4% w/w,与预测值的偏差为±0.04%。因此,MAE的萃取效率和大量节省时间的能力比其他萃取技术更强。