An investigation was made to establish the basic relationship between the c
rispness of 'Cox's Orange Pippin' apples (Malus domestica Borkh.) and recor
ded chewing sounds. Crispness groups were created by submitting apples to v
arying storage conditions. After carrying out a fast Fourier transformation
on the time signal of the generated sound, principal component analysis (P
CA) was carried out on the power spectra of a training set, and a calibrati
on matrix for group prediction was created. The PC values were compared wit
h mechanical parameters, including apple firmness measured with the acousti
c impulse response technique, maximum force and slope of the force-deformat
ion curve during a penetrometer measurement, and tensile strength in a ring
tensile test. PCA on Fourier-transformed chewing sounds appeared to be a p
romising technique to separate apple crispness groups. By further developme
nt this technique has potential as an objective measure for crispness evalu
ation. Mealy and crisp apples could be distinguished by PCA. The frequencie
s between 100 and 500 Hz and between 800 and 1100 Hz contributed most to th
e PCs calculated from the original power spectra, corresponding to peaks in
power spectra of crisp apples. When PCA was carried out on the logarithm o
f the original power spectra, all frequencies contributed to some degree to
the PCs. In further experiments on a variety of stored fruit, the position
of the power spectra in the PC1-PC2 space was correlated with apple tensil
e strength. Prediction of group belonging, using a calibration matrix based
on the first 15 PCs, gave much better results for the logarithm of the pow
er spectra than for the original signals. Chewing sounds from apples stored
under normal air composition or under ULO conditions could be distinguishe
d relatively well, while two RH groups could not be separated. This corresp
onded to results from sensory analysis. (C) 2000 Elsevier Science B.V. All
rights reserved.