TY - JOUR
T1 - Volatiles and flavor of five Turkish Hazelnut varieties as evaluated by descriptive sensory analysis, electronic nose, and dynamic headspace analysis/gas chromatography-mass spectrometry
AU - Alasalvar, C.
AU - Odabasi, A. Z.
AU - Demir, N.
AU - Balaban, M. Ö
AU - Shahidi, F.
AU - Cadwallader, K. R.
PY - 2004/4
Y1 - 2004/4
N2 - Forty-six volatile compounds were detected by gas chromatography-mass spectrometry, with 31 being positively identified in all hazelnuts (6 tentative and 9 unknown). Çakildak variety contained the highest content of total volatiles, followed by Palaz, Mincane, Fosa, and Tombul, with no significant differences (P > 0.05) between Tombul, Fosa, and Mincane. In total, 39, 37, 36, and 31 volatile compounds were determined for the 1st time in Tombul, (Çakildak and Mincane), Fosa, and Palaz, respectively. Descriptive sensory analysis showed that intensities of 7 flavor attributes had no significant differences (P > 0.05) among Tombul, Fosa, and Mincane. In contrast, Çakildak was rated as being significantly (P < 0.01) lower in most flavor attributes. Discriminant function analysis on the electronic nose (E-nose) sensor data resulted in 100% correct classification of the samples into their respective varieties. Certain E-nose sensor types correlated well with some volatile compounds.
AB - Forty-six volatile compounds were detected by gas chromatography-mass spectrometry, with 31 being positively identified in all hazelnuts (6 tentative and 9 unknown). Çakildak variety contained the highest content of total volatiles, followed by Palaz, Mincane, Fosa, and Tombul, with no significant differences (P > 0.05) between Tombul, Fosa, and Mincane. In total, 39, 37, 36, and 31 volatile compounds were determined for the 1st time in Tombul, (Çakildak and Mincane), Fosa, and Palaz, respectively. Descriptive sensory analysis showed that intensities of 7 flavor attributes had no significant differences (P > 0.05) among Tombul, Fosa, and Mincane. In contrast, Çakildak was rated as being significantly (P < 0.01) lower in most flavor attributes. Discriminant function analysis on the electronic nose (E-nose) sensor data resulted in 100% correct classification of the samples into their respective varieties. Certain E-nose sensor types correlated well with some volatile compounds.
KW - Descriptive sensory analysis
KW - Electronic nose
KW - Flavor attributes
KW - Hazelnut varieties
KW - Volatiles
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U2 - 10.1111/j.1365-2621.2004.tb13382.x
DO - 10.1111/j.1365-2621.2004.tb13382.x
M3 - Article
AN - SCOPUS:1942505831
SN - 0022-1147
VL - 69
SP - SNQ99-SNQ106
JO - Journal of food science
JF - Journal of food science
IS - 3
ER -