Selection of Springbright nectarines by time-resolved reflectance spectroscopy (TRS) to predict fruit quality in the marketing chain
P. Eccher Zerbini, M. Grassi, M. Fibiani, A. Rizzolo, G. Biscotti, A. Pifferi, A. Torricelli, R. Cubeddu
ISHS Acta Horticulturae 604:171-177.
2003
บทคัดย่อ
Selection of Springbright nectarines by time-resolved reflectance spectroscopy (TRS) to predict fruit quality in the marketing chain
Maturity of peaches and nectarines at harvest determines fruit quality: less mature fruit are easy to handle, but lack flavour, while mature picked peaches and nectarines have better flavour, but soften quickly. In the new cultivars the red overcolour develops early preventing the background colour, which is a good harvesting index, from being seen. Time-resolved reflectance spectroscopy (TRS) is a non-destructive method for optical characterisation of highly diffusive media. Aim of the work was to check the usefulness of the absorption coefficient ma measured at 670 nm (ma670) to assess nectarine maturity at harvest in order to predict quality during shelf life. Springbright nectarines of two sizes were picked on 18 July 2002. 140 fruits of each size were ranked by decreasing ma670 (from less mature to more mature). Fruit were stored at 0°C for 3 days, then at 20°C for 2 or 3 days. To ensure that fruit from the whole range of ma670 were available in each sample, ranked nectarines were randomly assigned to analysis at harvest (mass; skin colour; firmness; soluble solids) and during shelf life (skin colour; firmness; soluble solids; acidity; % juice; sensory analysis). At harvest, fruit mass was lower and firmness was higher in fruit with higher ma670. Soluble solids depended only on fruit size. During shelf life, with lower ma670 at harvest, the % juice was higher and fruit pulp softened earlier. At sensory analysis, fruit with lower ma670 were significantly less firm and more juicy, sweet, pulpy and aromatic. Non linear regression analysis showed that softening during shelf life followed a logistic model in function of ma670 at harvest and of time at 20°C (R2=0.85). By selecting at harvest nectarines according to their ma670 value, the softening rate can be predicted and the fruit for the different marketing destinations can therefore correctly be identified.