TY - JOUR
T1 - Relationships between the sensory characteristics, neutral volatile composition and gross composition of ten cheese varieties
AU - Lawlor, J. Ben
AU - Delahunty, Conor M.
AU - Wilkinson, Martin G.
AU - Sheehan, Jeremiah
PY - 2001
Y1 - 2001
N2 - Relationships between the odour, flavour and texture sensory attributes and the neutral volatile composition and gross composition of ten varieties of cheese were determined. Sensory evaluation was carried out by fifteen trained assessors who used a vocabulary of nine odour, twenty-one flavour and ten texture terms. Volatile compounds were isolated in a bench top purge and trap model system, trapped on Tenax-TA and analysed using gas chromatography coupled with mass spectrometry. Gross composition was measured using standard methods. Results of Principal Components Analysis on the sensory data showed that the first seven Principal Components significantly discriminated between cheeses and accounted for 86% of the variation. Partial Least Squares regression was used to determine the relationship between significant sensory attributes and thirty identified volatile compounds and the gross compositional data. Six odour and eleven flavour attributes were positively correlated with subsets of volatile compounds and gross compositional data. Seven texture attributes were shown to be correlated to subsets of gross compositional measurements. Overall, the present study illustrated that individual cheese flavour and texture attributes are the result of complex interactions of specific volatile compounds and compositional variables.
AB - Relationships between the odour, flavour and texture sensory attributes and the neutral volatile composition and gross composition of ten varieties of cheese were determined. Sensory evaluation was carried out by fifteen trained assessors who used a vocabulary of nine odour, twenty-one flavour and ten texture terms. Volatile compounds were isolated in a bench top purge and trap model system, trapped on Tenax-TA and analysed using gas chromatography coupled with mass spectrometry. Gross composition was measured using standard methods. Results of Principal Components Analysis on the sensory data showed that the first seven Principal Components significantly discriminated between cheeses and accounted for 86% of the variation. Partial Least Squares regression was used to determine the relationship between significant sensory attributes and thirty identified volatile compounds and the gross compositional data. Six odour and eleven flavour attributes were positively correlated with subsets of volatile compounds and gross compositional data. Seven texture attributes were shown to be correlated to subsets of gross compositional measurements. Overall, the present study illustrated that individual cheese flavour and texture attributes are the result of complex interactions of specific volatile compounds and compositional variables.
KW - Cheese
KW - Gross composition
KW - Neutral volatile composition
KW - Partial Least Squares regression
KW - Sensory attribute
UR - http://www.scopus.com/inward/record.url?scp=0035613420&partnerID=8YFLogxK
U2 - 10.1051/lait:2001147
DO - 10.1051/lait:2001147
M3 - Article
AN - SCOPUS:0035613420
SN - 0023-7302
VL - 81
SP - 487
EP - 507
JO - Lait
JF - Lait
IS - 4
ER -