Kilam Divya, Saifi M, Agnihotri A, Abdin M Z
a Amity Institute of Microbial Technology , Amity University , Noida , India.
b Department of Biotechnology , Centre for Transgenic Plant Development, Jamia Hamdard , New Delhi , India.
Nat Prod Res. 2017 Jul;31(14):1713-1716. doi: 10.1080/14786419.2017.1289199. Epub 2017 Feb 13.
Determination of endogenous levels of jasmonic acid (JA) is essential, as it plays a pivotal role in the physiological processes during a plant's life cycle. A high performance thin layer chromatography (HPTLC) method was developed for the detection and quantification of JA in leaf extracts of medicinal plant, Stevia rebaudiana (Bertoni) Bertoni. The separation was achieved using the solvents ethyl acetate-benzene (1:1, v/v) as the mobile phase, followed by scanning and quantification at 295 nm. Densitometric analysis of leaf extract resulted in compact spots for JA at R = 0.45 ± 0.02. The linear regression analysis showed good relationship with r value. The recovery rate of JA indicated good reproducibility and repeatability of the assay. The statistical analysis proved the reproducibility of the method; therefore, it can be employed for routine quantification of JA in different tissue samples of S. rebaudiana and may also be extrapolated to other biological samples.
茉莉酸（JA）内源性水平的测定至关重要，因为它在植物生命周期的生理过程中起着关键作用。开发了一种高效薄层色谱（HPTLC）方法，用于检测和定量药用植物甜叶菊（Stevia rebaudiana (Bertoni) Bertoni）叶片提取物中的JA。使用乙酸乙酯 - 苯（1:1，v/v）作为流动相进行分离，随后在295 nm处进行扫描和定量。对叶片提取物的光密度分析显示，JA在Rf = 0.45 ± 0.02处有致密斑点。线性回归分析显示r值具有良好的相关性。JA的回收率表明该测定具有良好的重现性和重复性。统计分析证明了该方法的重现性；因此，它可用于甜叶菊不同组织样品中JA的常规定量，也可外推至其他生物样品。
