Optimization of sweet basil harvest time and cultivar characterization using near-infrared spectroscopy, liquid and gas chromatography, and chemometric statistical methods.
Matan BirenboimDaniel ChalupowiczDalia MaurerShimon BarelYaira ChenElazar FalikDavid KengisbuchJakob A ShimshoniPublished in: Journal of the science of food and agriculture (2021)
The PLS-R model provided good predictions of rosmarinic acid, eugenol and terpene content. Our NIR coupled with a PLS-DA demonstrated reasonable solution for harvest and cultivar classification. © 2021 Society of Chemical Industry.
Keyphrases
- gas chromatography
- mass spectrometry
- tandem mass spectrometry
- high resolution mass spectrometry
- gas chromatography mass spectrometry
- machine learning
- deep learning
- photodynamic therapy
- solid phase extraction
- liquid chromatography
- ionic liquid
- drug release
- fluorescent probe
- simultaneous determination
- high resolution
- fluorescence imaging
- drug delivery