The data acquisition and processing of squid volatiles were performed
using the ChromaTOF program (v. 4.4, Leco, St. Joseph,
USA). For processing the raw data, the individual peaks were automatically
detected based on a 1500:1 signal-to-noise ratio. Peak
identifications were based on the comparison of their deconvoluted
mass spectra with the NIST Mass Spectral Library (MainLib:
212,961 spectra and Replib: 30,932 spectra) for correct matching.
Only peaks with a mass spectral match factor (similarity) higher
than 750 were regarded as correctly identified and retained for further
grouping and analysis. Similarity ranging from 750 to 967 andthe quality of the mass spectrum of each compound were manually
inspected. Partial least square-discriminant analysis (PLS-DA) was
used for visualisation of the differences in volatiles compositions
between fresh and dried samples in the three dimensional plot.
All the statistical analyses were conducted by using SPSS 14.0 software
(SPSS Inc., Chicago, IL, USA).