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Fourier transform near infrared diffuse reflectance spectroscopy and two spectral acquisition modes for evaluation of external and internal quality of intact pomegranate fruit
- Arendse, Ebrahiema, Fawole, Olaniyi Amos, Magwaza, Lembe Samukelo, Nieuwoudt, Helene, Opara, Umezuruike Linus
- Postharvest biology and technology 2018 v.138 pp. 91-98
- anthocyanins, ascorbic acid, color, computer software, firmness, fruit quality, fruits, models, nondestructive methods, optical fibers, pH, phenolic compounds, pomegranates, prediction, reflectance spectroscopy, statistical analysis, titratable acidity, total soluble solids
- Fourier transform near infrared (FT-NIR) diffuse reflectance spectroscopy as a non-destructive method for the development of calibration models has been investigated as a means of assessing the quality of whole pomegranate fruit. FT-NIR diffuse reflectance spectrometers with different spectral acquisition modes were evaluated using direct contact between the sample and the integrating sphere (IS), or by a contact-less measurement using an optic fibre coupled emission head (EH) to scan fruit over a distance of 170 mm. Fruit weight, firmness and colour components (a*, Chroma, hue angle), total soluble solids (TSS), pH, titratable acidity (TA), sugar to acid ratio (TSS:TA), BrimA, total phenolics, total anthocyanin and vitamin C. The best prediction statistics obtained from calibration models of the EH were firmness (R2 = 83.0, residual predictive deviation (RPD) = 2.43), fruit colour components (a*: R2 = 90.9, RPD = 3.34); Chroma: R2 = 83.0, RPD = 2.43, TSS (R2 = 78.1, RPD = 2.17), TA (R2 = 76.8, RPD = 2.12), BrimA (R2 = 76.2, RPD = 2.08), total phenolics (R2 = 88.0, RPD = 2.91) and vitamin C (R2 = 76.2, RPD = 2.06). The best prediction obtained from calibration models of IS were colour component Hue (R2 = 83.9, RPD = 2.50), TSS:TA (R2 = 86.8, RPD = 2.72) and total anthocyanin (R2 = 62.6, RPD = 1.64). Overall, good prediction was observed for both the EH and IS; however, better prediction performance was obtained with the EH which gave the best prediction for 9 of the 13 quality parameters evaluated. These findings have demonstrated that the EH (a contactless option of the Matrix-F) can be implemented as an online tool for the analysis of pomegranate fruit quality.