Combined Experimental and Multivariate Model Approaches for Glycoalkaloid Quantification in Tomatoes |
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| Authors: | Gabriella Tamasi Alessio Pardini Riccardo Croce Marco Consumi Gemma Leone Claudia Bonechi Claudio Rossi Agnese Magnani |
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| Institution: | 1.Department of Biotechnology Chemistry and Pharmacy, University of Siena, via A. Moro 2, 53100 Siena, Italy; (A.P.); (R.C.); (G.L.); (C.B.); (C.R.); (A.M.);2.Center for Colloid and Surface Science (CSGI), via della Lastruccia 3, 50019 Sesto Fiorentino, Italy;3.National Interuniversity Consortium of Materials Science and Technology (INSTM), via G. Giusti 9, 50121 Firenze, Italy |
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| 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. |
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| Keywords: | tomatine chromatography thermogravimetric analysis mid-infrared spectroscopy multivariate analysis |
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