Development and validation of an APCI-MS/GC-MS approach for the classification and prediction of Cheddar cheese maturity

卷:190

Gan, Heng Hui ; Yan, Bingnan ; Linforth, Robert S. T. ; Fisk, Ian D.

Univ Nottingham

关键词: Chemometric techniques;    Cheddar cheese;    Cheese maturity;    APCI-MS;    PLS-DA;    Volatile aroma compounds;   

DOI  :  10.1016/j.foodchem.2015.05.096

学科分类：食品科学和技术

【 摘 要 】

Headspace techniques have been extensively employed in food analysis to measure volatile compounds, which play a central role in the perceived quality of food. In this study atmospheric pressure chemical ionisation-mass spectrometry (APCI-MS), coupled with gas chromatography mass spectrometry (GC MS), was used to investigate the complex mix of volatile compounds present in Cheddar cheeses of different maturity, processing and recipes to enable characterisation of the cheeses based on their ripening stages. Partial least squares-linear discriminant analysis (PLS-DA) provided a 70% success rate in correct prediction of the age of the cheeses based on their key headspace volatile profiles. In addition to predicting maturity, the analytical results coupled with chemometrics offered a rapid and detailed profiling of the volatile component of Cheddar cheeses, which could offer a new tool for quality assessment and accelerate product development. (C) 2015 The Authors. Published by Elsevier Ltd.