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 (R2 = 0.998 and 0.840, respectively), achieving low errors (0.11 and 0.27%, respectively) with the reference technique. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Tamasi, G., Pardini, A., Croce, R., Consumi, M., Leone, G., Bonechi, C., et al. (2021). Combined experimental and multivariate model approaches for glycoalkaloid quantification in tomatoes. MOLECULES, 26(11), 1-15 [10.3390/molecules26113068].
Combined experimental and multivariate model approaches for glycoalkaloid quantification in tomatoes
Tamasi G.
;Pardini A.;Croce R.;Consumi M.
;Leone G.;Bonechi C.;Rossi C.;Magnani A.
2021-01-01
Abstract
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 (R2 = 0.998 and 0.840, respectively), achieving low errors (0.11 and 0.27%, respectively) with the reference technique. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.File | Dimensione | Formato | |
---|---|---|---|
78-Molecules(2021)-TomatoMethod.pdf
accesso aperto
Descrizione: Articolo
Tipologia:
PDF editoriale
Licenza:
Creative commons
Dimensione
1.95 MB
Formato
Adobe PDF
|
1.95 MB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
https://hdl.handle.net/11365/1156553