Abstract <p>As a result of the assessment of the thermal stability of components of essential oils of <i>Mentha piperita</i>, <i>Lavandula angustifolia</i>, and a linalool sample, it is shown that most of them are sufficiently stable under the conditions of gas-chromatographic analysis at injector temperatures up to 300°C. The assessments were performed using an algorithm involving sigmoidal approximation (otherwise, logistic regression) of the dependences of the relative peak areas on the injector temperature. A slight decrease in amount was detected only for the γ-terpineol impurity in the linalool preparation. In addition, an increase in the γ-terpinene content was recorded as a result of the thermal decomposition of other components. Unexpectedly interesting results were obtained for the essential oil of <i>Lavandula angustifolia</i>, in which significant amounts of a low-volatile matrix—low-molecular polyethylene glycols—were found. This proves useful in revealing an important feature of the algorithm itself for characterizing the thermal stability of analytes. It was shown that an increase in the relative areas of chromatographic peaks with increasing injector temperature can be not only due to the formation of thermal decomposition products of unstable precursors, but also due to the presence of non-volatile or low-volatile matrix components in the samples. A sign of such an anomaly is provided by the ascending dependences of the peak areas of all components in the absence of analytes with descending dependences.</p>

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Gas-Chromatographic Identification of Thermally Unstable Components and Their Transformation Products in Plant Essential Oils

  • I. G. Zenkevich,
  • K. G. Tkachenko

摘要

Abstract

As a result of the assessment of the thermal stability of components of essential oils of Mentha piperita, Lavandula angustifolia, and a linalool sample, it is shown that most of them are sufficiently stable under the conditions of gas-chromatographic analysis at injector temperatures up to 300°C. The assessments were performed using an algorithm involving sigmoidal approximation (otherwise, logistic regression) of the dependences of the relative peak areas on the injector temperature. A slight decrease in amount was detected only for the γ-terpineol impurity in the linalool preparation. In addition, an increase in the γ-terpinene content was recorded as a result of the thermal decomposition of other components. Unexpectedly interesting results were obtained for the essential oil of Lavandula angustifolia, in which significant amounts of a low-volatile matrix—low-molecular polyethylene glycols—were found. This proves useful in revealing an important feature of the algorithm itself for characterizing the thermal stability of analytes. It was shown that an increase in the relative areas of chromatographic peaks with increasing injector temperature can be not only due to the formation of thermal decomposition products of unstable precursors, but also due to the presence of non-volatile or low-volatile matrix components in the samples. A sign of such an anomaly is provided by the ascending dependences of the peak areas of all components in the absence of analytes with descending dependences.