Khs. Peiris et al., NEAR-INFRARED SPECTROMETRIC METHOD FOR NONDESTRUCTIVE DETERMINATION OF SOLUBLE SOLIDS CONTENT OF PEACHES, Journal of the American Society for Horticultural Science, 123(5), 1998, pp. 898-905
A nondestructive method for measuring the soluble solids (SS) content
of peaches [Prunus persica (L.) Batsch] was developed using near-infra
red (NIR) spectrometry. NIR transmittance in the 800 to 1050 nm region
was measured for four cultivars of peaches ('Blake', 'Encore', 'Red H
aven', and 'Winblo'), over a period of three seasons (1993 through 199
5). Each fruit was scanned on both halves keeping the suture away from
the incident light be am. Soluble solids contents of flesh samples ta
ken from corresponding scanned areas were determined using a refractom
eter. Multiple linear regression models using two wavelengths were dev
eloped with second derivative spectral data and laboratory measurement
s of SS content. Multiple correlation coefficients (R) for individual
cultivar calibrations within a single season ranged from 0.76 to 0.98
with standard error of calibration (SEC) values from 0.35% to 1.22%. S
elected spectra and corresponding SS data in individual cultivar calib
ration data sets were combined to create season and cultivar calibrati
on data sets to cover the entire range of SS contents within the seaso
n or within the cultivar. These combined calibrations resulted in R va
lues of 0.92 to 0.97 with SEC values ranging from 0.37% to 0.79%. Simp
le correlations of validations (r) ranged from 0.20 to 0.91 and the st
andard error of prediction (SEP) ranged from 0.49 % to 1.63 % while th
e bias varied from -0.01% to -2.62 %. Lower r values and higher SEP an
d bias values resulted when individual cultivar calibrations were used
to predict SS levels in other cultivar validation data sets. Cultivar
calibrations, season calibrations and the overall calibration predict
ed SS content of all validation data sets with a smaller bias and SEP
and with higher r values. These results indicate that NIR spectrometry
is suitable for rapid nondestructive determination of SS in peaches.
Feasible applications of the method include packinghouse sorting of pe
aches for sweetness and parent and progeny fruit quality assessment in
peach breeding programs. Using this technique fruit may be sorted int
o two or three sweetness classes. The technique may also potentially b
e extended to other fruit.