Non-targeted analysis using gas chromatography-mass spectrometry for evaluation of chemical composition of E-vapor products was written by Shah, Niti H.;Noe, Michael R.;Agnew-Heard, Kimberly A.;Pithawalla, Yezdi B.;Gardner, William P.;Chakraborty, Saibal;McCutcheon, Nicholas;Grisevich, Hannah;Hurst, Thomas J.;Morton, Michael J.;Melvin, Matt S.;Miller, John H. IV.. And the article was included in Frontiers in Chemistry (Lausanne, Switzerland) in 2021.Synthetic Route of C6H10O2 This article mentions the following:
The Premarket Tobacco Product Applications (PMTA) guidance issued by the Food and Drug Administration for electronic nicotine delivery systems (ENDSs) recommends that in addition to reporting harmful and potentially harmful constituents (HPHCs), manufacturers should evaluate these products for other chems. that could form during use and over time. Although e-vapor product aerosols are considerably less complex than mainstream smoke from cigarettes and heated tobacco product (HTP) aerosols, there are challenges with performing a comprehensive chem. characterization. Some of these challenges include the complexity of the e-liquid chem. compositions, the variety of flavors used, and the aerosol collection efficiency of volatile and semi-volatile compounds generated from aerosols. In this study, a non-targeted anal. method was developed using gas chromatog.-mass spectrometry (GC-MS) that allows evaluation of volatile and semi-volatile compounds in e-liquids and aerosols of e-vapor products. The method employed an automated data anal. workflow using Agilent MassHunter Unknowns Anal. software for mass spectral deconvolution, peak detection, and library searching and reporting. The automated process ensured data integrity and consistency of compound identification with >99% of known compounds being identified using an inhouse custom mass spectral library. The custom library was created to aid in compound identifications and includes over 1,100 unique mass spectral entries, of which 600 have been confirmed from reference standard comparisons. The method validation included accuracy, precision, repeatability, limit of detection (LOD), and selectivity. The validation also demonstrated that this semi-quant. method provides estimated concentrations with an accuracy ranging between 0.5- and 2.0-fold as compared to the actual values. The LOD threshold of 0.7 ppm was established based on instrument sensitivity and accuracy of the compounds identified. To demonstrate the application of this method, we share results from the comprehensive chem. profile of e-liquids and aerosols collected from a marketed e-vapor product. Applying the data processing workflow developed here, 46 compounds were detected in the e-liquid formulation and 55 compounds in the aerosol sample. More than 50% of compounds reported have been confirmed with reference standards The profiling approach described in this publication is applicable to evaluating volatile and semi-volatile compounds in e-vapor products. In the experiment, the researchers used many compounds, for example, 5-Ethyldihydrofuran-2(3H)-one (cas: 695-06-7Synthetic Route of C6H10O2).
5-Ethyldihydrofuran-2(3H)-one (cas: 695-06-7) belongs to esters. Carboxylic acid esters of low molecular weight are colourless, volatile liquids with pleasant odours, slightly soluble in water. Liquid esters of low volatility serve as softening agents for resins and plastics. Esters also include many industrially important polymers. Polymethyl methacrylate is a glass substitute sold under the names Lucite and Plexiglas; polyethylene terephthalate is used as a film (Mylar) and as textile fibres sold as Terylene, Fortrel, and Dacron.Synthetic Route of C6H10O2
Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics