...
首页> 外文期刊>Journal of Essential Oil-Bearing Plants >Isolation of Essential Oil from the Leaves of Cymbopogon martinii using Hydrodistillation: Effect on Yield of Essential Oil, Yield of Geraniol and Antimicrobial Activity
【24h】

Isolation of Essential Oil from the Leaves of Cymbopogon martinii using Hydrodistillation: Effect on Yield of Essential Oil, Yield of Geraniol and Antimicrobial Activity

机译:加氢蒸馏分离马提香柏叶中的香精油:对香精油产量,香叶醇产量和抗菌活性的影响

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The essential oil of Cymbopogon martinii (Palmarosa) is one of the industrially important essential oil having rose like sweet aroma. Using hydrodistillation technique, essential oil from the leaves of palmarosa was extracted to maximize the yield of oil, yield of geraniol along with zone of inhibition (ZOI) as responses. These responses were influenced by solid loading, volume of water, size of leaves and extraction time. The optimization of process parameters was performed using the Taguchi method and grey relational analysis. The optimized conditions were obtained at, solid loading of 50 g, water volume of 1000 mL, 20 mm size of the leaves and extraction time of 35 min. Under optimized conditions, 1.6832 % w/w yield of essential oil, 1.4230 % w/w yield of geraniol and 16 mm ZOI were obtained. Artificial neural network was applied for predictive modeling, providing better accuracy (mean square error = 0.0301) in case of 4-12-2 topology and log sigmoid transfer function as hidden layer. Proximate and ultimate analyses were carried out to find the quantitative energy content of the used palmarosa leaves by finding its higher heating value (HHV). HHV of used palmarosa leaves was found to be 17.8741 MJ/kg suggesting the potential of leaves as a renewable source of energy.
机译:Cymbopogon martinii(Palmarosa)的香精油是一种工业上重要的香精油,具有玫瑰般的甜香气。使用加氢蒸馏技术,从棕榈叶中提取香精油,以使油的产量,香叶醇的产量以及抑制区(ZOI)的响应最大化。这些响应受固体负荷,水量,叶片大小和提取时间的影响。使用田口方法和灰色关联分析对工艺参数进行优化。在50 g的固体负载,1000 mL的水量,20 mm的叶子大小和35分钟的提取时间下获得了最佳条件。在最佳条件下,获得了1.832%w / w的香精油产率,1.4230%w / w的香叶醇产率和16 mm ZOI。人工神经网络用于预测建模,在4-12-2拓扑和对数S形传递函数作为隐藏层的情况下提供了更高的准确性(均方误差= 0.0301)。进行了近距离和最终分析,以通过发现所用的较高的热值(HHV)来找到所用棕榈叶的定量能量含量。发现用过的棕榈叶的HHV为17.8741 MJ / kg,表明叶片作为可再生能源的潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号