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Simultaneous quantification of three amides by gas chromatography time of flight mass spectrometry in extracts of Piper sarmentosum

Khalid Hussain, Zhari Ismail, Amirin Sadikun, Pazilah Ibrahim


Piper sarmentosum is well known due to its culinary and medicinal properties and has a great potential of commercialization. Herbal standardization is a tedious taskmainly due to un-availability or inadequacy of methods and standards, and its lacking is the single biggest hindrance in the acceptance of herbal products in main stream of pharmaceuticals. Therefore, present study aimed to develop an analytical method using gas chromatography time of flight mass spectrometry for the simultaneous quantification of three amides, which can be used as pharmacologically active analytical markers to standardize the product made from this plant and others containing these compounds. Three amides, pellitorine (1), sarmentine (2) and sarmentosine (3), isolated and identified previously from fruit of the plant were used as markers to develop and validate the method. Lowest limit of detection (LOD) of 1, 2 and 3were found to be 0.10, 0.10 and 0.12 ng/ml, respectively, at a signal to noise ratio 3 : 1, whereas the lowest limit of quantification (LOQ) was taken 1.00, 1.00 and 12.00 ng/ml, respectively, at a signal to noise ration 10 : 1. The method was found to be linear (R2 = 0.9985 to 0.9995) with relative standard deviation (RSD) < 5%. Intraday and inter day accuracy was found to be 97.40-100.00% with precision (RSD< 5%). The percentage recoverieswere 97-100%withRSD< 5%. The method was found sensitive and reproducible, and applied successfully to quantify the amides in ethanol and supercritical CO2 extracts of fruit of Piper sarmentosum. The method is found to be simple, fast and easy to perform, and may be helpful for natural product industry as well as natural product scientists to produce standardized extracts and products from the plant.


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  • 中国社会科学院
  • 谷歌学术
  • 打开 J 门
  • 中国知网(CNKI)
  • 引用因子
  • 宇宙IF
  • 电子期刊图书馆
  • 研究期刊索引目录 (DRJI)
  • 秘密搜索引擎实验室
  • ICMJE

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