The aim of this chapter is to introduce readers to the techniques used to monitor flavours on-line. The rationale for on-line monitoring is given, along with the analytical requirements for the real time, in vivo measurement of aroma release. This sets the specification for the analytical method as well as demonstrating some of the difficulties and limitations associated with on-line flavour analysis. A brief history of on-line analysis is given to explain how the current techniques evolved and this is followed by an overview of the techniques currently available. Finally, examples of applying on-line monitoring of flavours are given to illustrate the power of the technique, and some future needs and trends are discussed.
INTRODUCTIONAnalysis of flavour compounds has been a major interest for analysts and for flavour technologists over many years. On the analytical side, the advent of gas chromatography (GC) and then high-performance liquid chromatography (HPLC) allowed the detailed composition of many flavour materials to be elucidated in terms of compound identification and quantification. Besides giving food technologists a powerful tool to study the composition of flavours, the data could also be used to link flavour composition with sensory flavour quality. In other words, the aim was to understand questions such as the following: r Why do particular mixtures of compounds taste pleasant? r Why do quite small changes in some flavour components cause significant changes in sensory scores?Although understanding the link between composition and sensory quality is an attractive idea, there are very few published papers that compare the flavour composition of a product to its sensory attributes. One example is that of Togari et al. (1995) who used a chemometric approach to correlate flavour compositions of different tea samples with individual sensory attributes. The various sensory attributes of tea (e.g. the 'fresh floral' attribute) were expressed as equations based on the concentrations of those compounds that contributed positively and negatively to the sensory attribute, with each compound being given a weighting, calculated to give the best fit of the experimental data Food Flavour Technology: Second Edition Edited