Evaluation of methods of analysis for dietary fibre using real foods and model foods.

RATIONALE AND OBJECTIVES: There are several rational and empirical methods for the measurement of dietary fibre and its components. A selection of these methods were evaluated by investigation of a range of real foods and model foods with added resistant starch (RS), non-starch polysaccharides (NSP) and resistant oligosaccharide (RO) ingredients. METHODS: A range of rational methods were applied in determining specific carbohydrate constituents: RS, NSP and RO, including fructans. For comparison, empirical methods AOAC 991.43 (2001.03) and AOAC 2009.01 were applied, based on determination of gravimetric residues for high molecular weight and size-exclusion HPLC analysis of the ethanol filtrate for low molecular weight components. RESULTS: In general there was agreement between different rational methods for the analysis of RS and fructans, though there were notable exceptions for some product types. Comparison of methods for total RS and those that only measure the RS3 fraction, from retrograded starch, indicated that RS3 was the only type present for most processed products. This also explains the similar results obtained by AOAC 991.43 (2001.03) and AOAC 2009.01, though the latter is intended to recover other RS types as well. For many products there was agreement between results obtained by rational and empirical methods, though there were exceptions and the reasons for these are discussed. CONCLUSION: Rational and empirical methods can both be used to determine dietary fibre in most situations. The information provided by rational methods is useful in identifying the specific carbohydrate constituents present in foods and can assist in determining whether added extracted and synthesised ingredients are ones that conform to the Codex and EU dietary fibre definition.

Normalisation of data from allergens proficiency tests.

The problem of allergen analysis using ELISA kits from different commercial products giving significantly different results is widely acknowledged. The effect on proficiency testing results is that different assigned values have to be generated for the different kits used. Some experimental Food Analysis Performance Assessment Scheme (FAPAS) proficiency tests aimed to establish whether the use of a standardised calibrant could be used to normalise the complete data set without recourse to differentiation. Three recent FAPAS proficiency tests (2776 peanut, 2778 soya and 2781 gluten) sent out a second spiked sample, in addition to the usual spiked and unspiked samples. Further analysis of the data was undertaken after the completion of the tests. The ratio of the submitted results for the two spiked samples yielded complete data sets which could be tested for normality of the distribution. Where the raw data for each individual test sample was clearly non-normal and multi-modal, the ratio data yielded a much more normal and symmetrical distribution. The use of one of the test samples as a single-point calibrant has some limitations but the principle of applying a standardisation clearly works. The development of internationally recognised sets of certified reference calibration standards for use by allergens testing laboratories would greatly benefit the analysis.