In this study, the changes in the quality of unshelled peanuts and peanut kernels during storage were
analyzed using an electronic nose (e-nose). The physicochemical indexes (acid and peroxide values) of
peanut kernels were tested by traditional method as a reference. The storage time of peanut kernels
increases from left to right in the cluster analysis plot based on the physicochemical indexes. The ‘‘maximum
values’’, ‘‘area values’’, and ‘‘70th s values’’ methods were applied to extract the feature data from
the e-nose responses. Principal component analysis (PCA) results indicated that the ‘‘70th s values’’
method produced the most accurate results, furthermore, unshelled peanut and peanut kernel samples
presented similar characteristics in the PCA plots; the partial least squares regression (PLSR) results
showed that the features of unshelled peanuts and peanut kernels are highly correlated with acid and
peroxide values, respectively.
In this study, the changes in the quality of unshelled peanuts and peanut kernels during storage wereanalyzed using an electronic nose (e-nose). The physicochemical indexes (acid and peroxide values) ofpeanut kernels were tested by traditional method as a reference. The storage time of peanut kernelsincreases from left to right in the cluster analysis plot based on the physicochemical indexes. The ‘‘maximumvalues’’, ‘‘area values’’, and ‘‘70th s values’’ methods were applied to extract the feature data fromthe e-nose responses. Principal component analysis (PCA) results indicated that the ‘‘70th s values’’method produced the most accurate results, furthermore, unshelled peanut and peanut kernel samplespresented similar characteristics in the PCA plots; the partial least squares regression (PLSR) resultsshowed that the features of unshelled peanuts and peanut kernels are highly correlated with acid andperoxide values, respectively.
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