Citation
Cecchi, Lorenzo, et al. "Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry Quantification of the Volatile Profile of More Than 1200 Virgin Olive Oils for Supporting the Panel Test in Their Classification: Comparison of Different Chemometric Approaches." Journal of Agricultural and Food Chemistry, vol. 67, no. 32, 2019, pp. 9112-9120.
Cecchi L, Migliorini M, Giambanelli E, et al. Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry Quantification of the Volatile Profile of More than 1200 Virgin Olive Oils for Supporting the Panel Test in Their Classification: Comparison of Different Chemometric Approaches. J Agric Food Chem. 2019;67(32):9112-9120.
Cecchi, L., Migliorini, M., Giambanelli, E., Rossetti, A., Cane, A., Melani, F., & Mulinacci, N. (2019). Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry Quantification of the Volatile Profile of More than 1200 Virgin Olive Oils for Supporting the Panel Test in Their Classification: Comparison of Different Chemometric Approaches. Journal of Agricultural and Food Chemistry, 67(32), 9112-9120. https://doi.org/10.1021/acs.jafc.9b03346
Cecchi L, et al. Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry Quantification of the Volatile Profile of More Than 1200 Virgin Olive Oils for Supporting the Panel Test in Their Classification: Comparison of Different Chemometric Approaches. J Agric Food Chem. 2019 Aug 14;67(32):9112-9120. PubMed PMID: 31314506.
TY - JOUR
T1 - Headspace Solid-Phase Microextraction-Gas Chromatography-Mass Spectrometry Quantification of the Volatile Profile of More than 1200 Virgin Olive Oils for Supporting the Panel Test in Their Classification: Comparison of Different Chemometric Approaches.
AU - Cecchi,Lorenzo,
AU - Migliorini,Marzia,
AU - Giambanelli,Elisa,
AU - Rossetti,Adolfo,
AU - Cane,Anna,
AU - Melani,Fabrizio,
AU - Mulinacci,Nadia,
Y1 - 2019/07/31/
PY - 2019/7/18/pubmed
PY - 2019/8/27/medline
PY - 2019/7/18/entrez
KW - LDA
KW - PCA
KW - extra virgin olive oil
KW - microbiological indices
KW - oxidative indices
KW - volatile compounds
SP - 9112
EP - 9120
JF - Journal of agricultural and food chemistry
JO - J Agric Food Chem
VL - 67
IS - 32
N2 - A reliable and robust tool for supporting the panel test in virgin olive oil classification is still required. We propose four chemometric approaches based on t test, principal component analysis (PCA) and linear discriminant analysis (LDA), applied for combining sensorial data, and chemical measurements. The former was from the panel test, and the latter was from headspace solid-phase microextraction-gas chromatography-mass spectrometry quantitation of 73 volatile organic compounds (VOCs) of 1223 typical commercial virgin olive oils, with most of them recognized as difficult to classify with accuracy by the panel test. The approaches were developed and validated, and the best results, with 83.5% correct classification, were using the PCA-LDA approach. Among the other methods, developed for proposing simplified procedures based on a smaller number of VOCs, the best method gave 80.1% correct classification only using 10 VOCs. All of the approaches suggested that octane, heptanal, pent-1-en-3-ol, Z-3-hexenal, nonanal, and 4-ethylphenol should be considered as a basis of volatiles for classification of olive oil samples.
SN - 1520-5118
UR - https://www.unboundmedicine.com/medline/citation/31314506/Headspace_Solid_Phase_Microextraction_Gas_Chromatography_Mass_Spectrometry_Quantification_of_the_Volatile_Profile_of_More_than_1200_Virgin_Olive_Oils_for_Supporting_the_Panel_Test_in_Their_Classification:_Comparison_of_Different_Chemometric_Approaches_
DB - PRIME
DP - Unbound Medicine
ER -