Chemometric Analysis of Lavender Essential Oils Using Targeted and Untargeted GC-MS Acquired Data for the Rapid Identification and Characterization of Oil Quality

摘要: Standard raw material test methods such as the ISO 11024 are focused on identification of lavender oil and not actual class/quality oil. However, quality has a significant effect its price at market. As such, there is need for tests to identify only type but quality. This paper describes two approaches rapidly identifying classifying First, method was evaluated in order determine suitability assess due targeted simplistic approach, it potential miss classify Second, utilizing data generated by methodology, an untargeted chemometric predicative model developed characterize oils (Lavandulaangustifolia L.) geographical/environmental adulteration that impact Of 170 compounds identified per GC-MS analyses, 15 unique greatly differentiate between classes were identified. Using these compounds, multivariate enabled samples be reliably differentiated based A misclassification analysis performed found predictions sound (100% matching rate). Such approach will enable producers, distributers, suppliers manufactures screen essential The authors concede validation implementation more difficult than conventional chromatographic assay. rapid, reliable less problematic screening vastly superior easily justifies any early difficulties costs.