What Is the Value of Analytical Data and the Methods We Use? Even though bread is one of the oldest processed foods created by humans, there is still much to learn, and analysis of raw materials, product properties, and their complex relationships is a key requirement for the grain industry. Analytical data must be collected to monitor the quality of raw and processed materials and determine whether they meet the needs of processors and consumers. Unfortunately, there is often a lack of understanding of when to collect and how to use analytical data. In this column, Cauvain suggests that asking a few basic questions can improve data collection and use. For example, what is the value, worth, or meaning of the analytical data and methods we use? Are the data correct? Are they relevant? Some of the basics concerning analytical tests, measurement errors, the uncertainty associated with analytical methods, and prediction of end-use performance are reviewed. To overcome the uncertainty and lack of indicative (predictive) capability of many analytical methods, he argues, that the grain science community must continue to strive to develop improved methods and modify existing ones. |