Laboratorio de Investigación y Desarrollo de Métodos Analíticos, LIDMA, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, CIC-PBA, 47 y 115 (B1900AJL), La Plata, Argentina.
Laboratorio de Investigación y Desarrollo de Métodos Analíticos, LIDMA, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, CIC-PBA, 47 y 115 (B1900AJL), La Plata, Argentina; División Química Analítica, Facultad de Ciencias Exactas, Universidad Nacional de La Plata, Argentina.
J Chromatogr A. 2023 Jun 21;1699:463998. doi: 10.1016/j.chroma.2023.463998. Epub 2023 Apr 15.
Terpenes and terpenoids are the principal responsible for the aroma of Cannabis, playing an important role in the interaction with the environment. Analytical determination of these compounds can be done by headspace coupled to solid phase micro-extraction (HS-SPME) and then injected in a gas chromatograph. In the present study, we determined distribution constants between gas and polydimetylsiloxane (PDMS), a conventional SPME liquid phase, at three temperatures between 303.15 and 343.15 K for major Cannabis terpenes and terpenoids employing a method based in gas chromatography using four capillary columns for monoterpenes and five columns for sesquiterpenes. In addition, van't Hoff regressions (logK vs T) were obtained in order to estimate logK at 298.15 K aiming to compare with bibliographic values (experimental or estimated ones). An excellent agreement was found between them. The method, based on chromatographic theory is robust and relatively simple. It is expected that the herein obtained data could be useful for selecting SPME fiber type and dimensions, estimating extraction efficiencies, as well as to develop prediction models and validate them.
萜烯和类萜是大麻香气的主要成分,在与环境的相互作用中起着重要作用。这些化合物的分析测定可以通过顶空固相微萃取(HS-SPME)与气相色谱联用进行。在本研究中,我们采用基于气相色谱的方法,使用四根毛细管柱用于单萜类化合物和五根毛细管柱用于倍半萜类化合物,在 303.15 至 343.15 K 的三个温度下,测定了主要大麻萜烯和类萜在聚二甲基硅氧烷(PDMS)中的气液分配常数,PDMS 是常规的固相微萃取液相。此外,还得到了范特霍夫回归(logK 与 T 的关系),以便在 298.15 K 时估算 logK,以便与文献值(实验值或估算值)进行比较。结果发现它们之间具有极好的一致性。该方法基于色谱理论,具有较强的稳健性和相对简单性。预计本文获得的数据可用于选择固相微萃取纤维类型和尺寸、估计萃取效率,以及开发预测模型并对其进行验证。