Title of article :
Chemometrics in food science—a demonstration of the feasibility of a highly exploratory, inductive evaluation strategy of fundamental scientific significance
Author/Authors :
Munck، نويسنده , , L. and Nّrgaard، نويسنده , , L. and Engelsen، نويسنده , , S.B. and Bro، نويسنده , , R. and Andersson، نويسنده , , C.A.، نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 1998
Abstract :
At the roots of science lies observation and data collection from the world as is and from which conclusions can be induced after classification. This is far from the present theory-driven, deductive, normative stage of science which depends heavily on modelling discrete functional factors in laboratory experiments and suppresses the aspect of interaction. In spite of its successes, science today has great difficulty in adapting to the changes which technology has created to cope with registering and evaluating real data from the world, such as in food production chains. This paper demonstrates that it is possible and profitable with the help of new technology to reintroduce an explorative, inductive strategy to investigate the chemistry of a complex food process as is with a minimum of a priori assumptions. The food process investigated is a sugar plant and the tools necessary in this strategy include a multivariate screening method (fluorescence spectroscopy), an arsenal of chemometric models (PCA, PLS, principal variables), including multiway models (parafac, Tucker), and a computer. Not only can chemical criteria and process parameters throughout the process be validly predicted by the screening method, but process irregularities as well as chemical species can also be detected and validated by multiway chemometric techniques. Inspired by examples from the food area, the paper further discusses the nature of the exploration method in the selection of tools and data. The aim is to study complex processes as a whole in order to model interaction of the underlying latent functional factors which may later be defined more precisely by deductive methods. These methods in combination with an appropriate multivariate screening method allow for unique identification of objects—a significant prerequisite for a viable, exploratory, inductive data strategy which is needed as a fundamental complement to prevalent normative research in order to obtain a science on the interdisciplinary level.
Keywords :
Chemometrics , Food science , Multiway models
Journal title :
Chemometrics and Intelligent Laboratory Systems
Journal title :
Chemometrics and Intelligent Laboratory Systems