Effect of Raman exposure time on the quantitative and discriminant analyses of carotenoid concentrations in intact tomatoes.

• Raman spectroscopy was used to analyze carotenoid concentrations in tomatoes. • Partial least squares regression models were developed for quantitative analysis. • Partial least squares discriminant analysis (PLS-DA) models were developed. • Raman exposure time affects the ability to quantitatively analyze tomatoes. • Discriminate analysis is largely unaffected by Raman exposure time. The significant worldwide expansion of the health food market, which includes functional fruits and vegetables, requires a simple and rapid analytical method for the on-site analysis of functional components, such as carotenoids, in fruits and vegetables, and Raman spectroscopy is a powerful candidate. Herein, we clarified the effects of Raman exposure time on quantitative and discriminant analysis accuracies. Raman spectra of intact tomatoes with various carotenoid concentrations were acquired and used to develop partial least squares regression (PLSR) and partial least squares discriminant analysis (PLS-DA) models. The accuracy of the PLSR model was superior (R2 = 0.87) when Raman spectra were acquired 10 s, but decreased with decreasing exposure time (R2 = 0.69; 0.7 s). The accuracy of the PLS-DA model was unaffected by exposure time (hit rate: 90%). We conclude that Raman spectroscopy combined with PLS-DA is useful for the on-site analysis of carotenoids in fruits and vegetables. [ABSTRACT FROM AUTHOR]