研究目的
To develop an ATR-FTIR spectroscopic quantitative methods of two specific EOs (clove and spearmint) encapsulated in the same complex organic matrix.
研究成果
The ATR-FTIR method developed in this study proved to be reliable, robust, and appropriate for the global quantification of encapsulated EOs in complex matrices. It offers a rapid and chemical sustainable alternative to traditional chromatographic methods, with the potential for routine analysis in the EOs industry as quality control.
研究不足
The complexity of the matrix and the overlapping of spectral bands could decrease the sensitivity of the chemometrics method. The method's sensitivity is adapted to the quantification of matrices enriched in EOs but may not be suitable for very low concentrations.
1:Experimental Design and Method Selection:
The study developed a rapid ATR-FTIR method for the quantification of encapsulated essential oils (EOs) in complex matrices. The method was tested with clove and spearmint EOs encapsulated in a starch and proteins based matrix.
2:Sample Selection and Data Sources:
Clove and spearmint EOs were encapsulated in organic matrices composed mainly of starch, proteins, and a few amount of lipids. The matrices were stored at room temperature and controlled relative humidity until analysis.
3:List of Experimental Equipment and Materials:
A FTIR Nicolet Nexus 6700 spectrometer equipped with a Mercury-Cadmium-Telluride High D detector and using the Omnic v
4:3 software was used for ATR-FTIR spectrum acquisition. GC-MS and GC-FID analyses were performed for characterization and quantification of EOs. Experimental Procedures and Operational Workflow:
The ATR-FTIR method involved minimal sample preparation, with spectra collected at room temperature from 64 scans with a resolution of 2 cm-1 in the range of 800 to 4000 cm-
5:The GC-FID method involved extraction of EOs from the matrices using hexane as solvent. Data Analysis Methods:
Spectra were preprocessed using Omnic v7.3 software, and manual baseline correction was applied. Univariate and multivariate regression analyses were performed for quantification of EOs.
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