Non-destructive determination of color, titratable acidity, and dry matter in intact tomatoes using a portable Vis-NIR spectrometer

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Arruda de Brito, Annelisa
Campos, Fernanda
dos Reis Nascimento, Abadia
Damiani, Clarissa
Alves da Silva, Flávio
de Almeida Teixeira, Gustavo Henrique [UNESP]
Cunha Júnior, Luis Carlos
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Fruit color and chemical composition, particularly dry matter and titratable acidity (TA), are important tomato-quality parameters for consumers. Therefore, a single test allowing for the evaluation of these parameters simultaneously would improve the efficiency of this analysis. Vis-NIR spectroscopy has been used to identify many compounds in fruits and vegetables, therefore, here, a portable Vis-NIR spectrometer was used to collect the spectra of fresh tomatoes produced from November 2018 to November 2019, in five tomato cropping regions in Brazil, namely, Goiás, Bahia, Santa Catarina, Minas Gerais, and São Paulo states. Calibration and prediction models were developed using the 396–1,131 nm spectral region, through principal component analysis (PCA), and partial least square regression (PLS). Strong prediction results (root mean square of error prediction, RMSEP; coefficient of prediction, Rp²; and standard deviation ratio, SDR) were obtained for the color parameter a*, representing red (RMSEP = 2.89, Rp² = 0.94, SDR = 4.11), and the amount of dry matter (RMSEP = 0.46 %; Rp² = 0.59 % SDR = 1.92). However, poor prediction results were obtained for titratable acidity (RMSEP = 0.07 %; SDR = 1.15). These findings indicate that color (a*) and dry matter of intact tomatoes may be predicted using a portable Vis-NIR spectrometer.
Chemometrics, Partial least square, Portable Vis-Nir, Principal component analysis, Quality food
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Journal of Food Composition and Analysis, v. 107.