A trapping-based gas liquid microextraction (GLME) method coupled with gas chromatography-mass spectrometry (GC-MS) was utilized to qualitatively and quantitatively characterize semiochemicals in plants. The main GLME extraction efficiency associated parameters (heating temperature and extraction time) were optimized. The results obtained from GLME process were compared with those of steam distillation and ultrasonic extraction, and the recovery, peak number and reproducibility were evaluated by using Thuja koraiensis Nakai as a representative plant. Furthermore, the quantitative performances of the GLME in terms of sample amount, recoveries of spiked standards and correlation were systematically evaluated using standard addition method, which gave a good quantitative ability for all the compounds with squares of correlation coefficient (r2) of higher than 0.99. Finally, the contents of α-pinene, camphene, linalool, α-terpinenol, β-caryophyllene, α-caryophyllene, and totarol in Thuja koraiensis Nakai samples were quantified, and their concentrations (SD, n = 3) were; 0.65 (0.06), 0.62 (0.05), 4.12 (0.15), 0.99 (0.08), 1.11 (0.07), 0.63 (0.04), and 21.91 (0.25) μg g-1, respectively. It was demonstrated that GLME is a powerful sample preparation technique for quantitative and qualitative analysis of plant semiochemicals.

中文翻译：

---

用于植物定量分析的化学信息素的快速选择性气液微萃取

一种基于捕集的气液微萃取 (GLME) 方法与气相色谱-质谱联用 (GC-MS) 相结合，用于定性和定量表征植物中的化学信息素。对主要 GLME 提取效率相关参数（加热温度和提取时间）进行了优化。将GLME工艺的结果与水蒸气蒸馏和超声波提取的结果进行比较，以红崖柏为代表植物，对回收率、峰数和重现性进行了评价。此外，使用标准添加方法系统地评估了 GLME 在样品量、加标标准回收率和相关性方面的定量性能，这对相关系数 (r2) 的平方高于 0.99 的所有化合物提供了良好的定量能力。最后，对红崖柏样品中α-蒎烯、莰烯、芳樟醇、α-萜品烯醇、β-石竹烯、α-石竹烯和托芋酚的含量进行定量，其浓度（SD，n=3）为；分别为 0.65 (0.06)、0.62 (0.05)、4.12 (0.15)、0.99 (0.08)、1.11 (0.07)、0.63 (0.04) 和 21.91 (0.25) μg g-1。结果表明，GLME 是一种强大的样品制备技术，可用于植物信息素的定量和定性分析。分别为 99 (0.08)、1.11 (0.07)、0.63 (0.04) 和 21.91 (0.25) μg g-1。结果表明，GLME 是一种强大的样品制备技术，可用于植物信息素的定量和定性分析。分别为 99 (0.08)、1.11 (0.07)、0.63 (0.04) 和 21.91 (0.25) μg g-1。结果表明，GLME 是一种强大的样品制备技术，可用于植物信息素的定量和定性分析。