Combined Experimental and Multivariate Model Approaches for Glycoalkaloid Quantification in Tomatoes.
Calibration
Chromatography, High Pressure Liquid
/ methods
Solanum lycopersicum
/ chemistry
Models, Chemical
Multivariate Analysis
Spectrometry, Mass, Electrospray Ionization
/ methods
Spectrophotometry, Infrared
/ methods
Tandem Mass Spectrometry
/ methods
Thermogravimetry
/ methods
Tomatine
/ analogs & derivatives
chromatography
mid-infrared spectroscopy
multivariate analysis
thermogravimetric analysis
tomatine
Journal
Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009
Informations de publication
Date de publication:
21 May 2021
21 May 2021
Historique:
received:
29
04
2021
revised:
17
05
2021
accepted:
18
05
2021
entrez:
2
6
2021
pubmed:
3
6
2021
medline:
21
7
2021
Statut:
epublish
Résumé
The intake of tomato glycoalkaloids can exert beneficial effects on human health. For this reason, methods for a rapid quantification of these compounds are required. Most of the methods for α-tomatine and dehydrotomatine quantification are based on chromatographic techniques. However, these techniques require complex and time-consuming sample pre-treatments. In this work, HPLC-ESI-QqQ-MS/MS was used as reference method. Subsequently, multiple linear regression (MLR) and partial least squares regression (PLSR) were employed to create two calibration models for the prediction of the tomatine content from thermogravimetric (TGA) and attenuated total reflectance (ATR) infrared spectroscopy (IR) analyses. These two fast techniques were proven to be suitable and effective in alkaloid quantification (R
Identifiants
pubmed: 34063803
pii: molecules26113068
doi: 10.3390/molecules26113068
pmc: PMC8196588
pii:
doi:
Substances chimiques
alpha-tomatine
0
Tomatine
31U6547O08
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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