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Original Articles

Literature Data Compilation of WAI and WSI of Extrudate Food Products

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Pages 199-240 | Received 03 Feb 2009, Accepted 03 Jul 2009, Published online: 05 Feb 2011

Abstract

Published data on water absorption index and water solubility index of food materials are selected from the literature and organized into a database. Useful information such as the characteristics of the database and the statistics of the included data are presented. Researchers report that the values of the latter properties are affected by extrusion process variables.

INTRODUCTION

High temperature sort time extrusion cooking has found many applications in producing a wide variety of food materials such as: breakfast cereals, snacks, weaning foods, pet and aquatic foods, confectionery products, and texturized vegetable proteins. Researchers have shown that the most important chemical reactions which occur during extrusion processes involve starch gelatinization, protein denaturation and inactivation of many native enzymes.[Citation1,Citation2,Citation3,Citation4] The qualitative features of the extruded products are characterized by several functional properties such as water absorption index (WAI), water-oil absorption index, water absorption capacity, water solubility index (WSI), protein solubility index, nitrogen solubility index, gelatinization capacity, foam expansion index, emulsion solubility index, emulsion activity index, water holding capacity, and swelling index. In particular, the WAI and WSI can be used to estimate the functional characteristics of foods and predict how the materials may behave if further processed.[Citation5,Citation6,Citation7] Moreover, these indices give information of the physicochemical changes of the biopolymers as a result of extrusion processing.[Citation8,Citation9,Citation10,Citation11]

Water absorption indicates the amount of water immobilized by the extrudate, while water solubility indicates the amount of small molecules solubilized in water so process molecular damage.[Citation12] Anderson et al.[Citation13] recorded a method to estimate the amount of material that can be extracted by water from an extruded product. The method involves milling the extruded product and then adding a known weight of powder to distilled water. The samples are then stirred and the suspension is washed into a tare centrifuge tube. After centrifugation the supernatant is dried and the weight of solids in the supernatant was used to calculate the WSI as a percentage of dry weight of the extrudate. The weight of the sediment in the centrifuge tube was used to calculate the WAI as a percentage of the water bound per 100 g of dry extrudate. The WAI and WSI can be used to characterize extruded products and these methods are simple, easy to apply and the results are consistent when precise methodology is applied. The use of WAI and WSI is justified at the practical level in that they readily yield the ‘degree of cook’ without requiring time-consuming biochemical extraction, isolation and characterization of complex mixtures.[Citation8] The raw materials which are soluble include unmodified or gelatinized starch, natured globular proteins, inorganic ions and small sugars. During extrusion the morphological changes of above materials determine the functional characteristics of final product. When the initial materials contains mainly starch, the WAI measures the volume occupied by the starch polymer after swelling in excess water, or the dispersion of starch in excess water. The dispersion of starch is increased by the degree of starch damage due to gelatinization. High WAI values indicate the presence of large starch fragments in the final product. The WSI determines the amount of free polysaccharide or polysaccharide released from the granule on addition of excess water. Moreover, the WSI reflect the macromolecular degradation of starch. High WSI values indicate the presence of dextrinized starch molecules. The value of WSI is an important measure on proteinaceous blends because is an indicator of the status of the proteins. During extrusion proteins suffer partial denaturation and the value of index are used often to decide the technological usefulness of the blend.[Citation14,Citation15,Citation9,Citation16 Citation–17,Citation6,Citation18]

The WAI and WSI values of extruded products depend on several factors. The later can be classified into two major groups. The first group consists of the factors which are related to the properties of the raw materials, such as the initial composition of raw materials, the formulations of raw materials, the pre-processing treatments, the initial particle size of milled materials, the milling procedure.[Citation6] The second group consists of the process input variables which are related to the extruder conditions, such as extruder type, last section barrel temperature, feed moisture content, feed rate, screw speed, screw configuration, screw compression ratio, die dimension, and die configuration.[Citation19] Many studies have related the final state of raw materials transformation during extrusion to such processing parameters as barrel temperature, water content, feed rate, or screw speed without discuss about the influence of the others factors on the final product.

In the recent literature, there exist few available experimental data of WAI and WSI values mainly for certain cereals, legumes or mixtures of them.[Citation13,Citation20,Citation14,Citation21,Citation2,Citation22–45,Citation3,Citation46–49,Citation8,Citation50–57,Citation15,Citation58,Citation4,Citation50,Citation9,Citation5,Citation12,Citation60–62,Citation16,Citation63–69,Citation10,Citation70–77,Citation11,Citation78–83,Citation6,Citation7,Citation84,Citation18,Citation85–90] The scope of this work is to collect, update and classify the experimental data, which concern only products for human consumptions, of the above articles. It should be noted that although there exist a large number of available articles reporting WAI and WSI values determined by statistical methods, these values have not been taken into account in the present work.

DATA

An exhaustive literature search was made in the most popular food engineering and food science journals during the recent years as indicated in .

Table 1 Science journals and the number of papers which retrieved from them

DATABASE DESCRIPTION

The selected data were organized into a database developed in Excel. In , , and , every record includes the following fields:

Category: The food category

Material: The material name

Water absorption index: The measured value of the water absorption

Water solubility index: The measured value of the water solubility

Die temperature: The temperature at the die or the final section of extruder

Feed moisture content: The quantity of water in the materials at the first stage of extrusion process

Feed rate: The feed rate of materials in the extruder through the screw feeder

Screw speed: The rotary speed of the main extruder screw

Recorded type of the data: The presentation format of the experimental data, table, or graph

Type of extruder: Single screw or twin screw extruder

Effect or not effect: The effect of extrusion parameters on WAI and WSI respectively.

Table 2 The values of WAI and WSI vs. die temperature, feed moisture content, feed rate and screw speed of extruded materials

Table 3 The range of values WAI and WSI vs. die temperature, feed moisture content, feed rate, screw speed and the mix lever of extruded blends

Table 4 The presentation format of data, the type of extruder and the effect of die temperature (DT), feed moisture content (FMC), and screw speed (SS) on WAI, WSI values

RESULTS

Eighty-seven articles were retrieved from science journals during recent years that report experimental values for WAI and WSI from extruded products. The numbers of data which were collect from the above articles was about 1210 for WAI and 992 for WSI. The data mainly respect starchy or proteinaceous extruded food products and the values of WAI and WSI estimate according to Anderson et al.[Citation13] The distribution of WAI and WSI values for all extruded products are presented in and , respectively. The WAI values are plotted versus die temperature, feed moisture content, feed rate and screw speed in , , , and , respectively. Similar, the WSI values are plotted versus die temperature, feed moisture content, feed rate and screw speed in , , , and , respectively. All the collected values of WAI, WSI and the related extrusion variables of grouping extruded materials are presented in . Similarly, presents the values of WAI, WSI, and the related extrusion variables of grouping extruded blend materials. The effect of the three independent extrusion variables die temperature, feed moisture content ad screw speed, on the values of indices presents in Table . Obviously, there exist different opinions between workers about the effect of process variables on WAI and WSI. These means that is not fully understood the predominant mechanism of extrusion process yet.

Figure 1 The distribution of WAI values.

Figure 1 The distribution of WAI values.

Figure 2 The distribution of WSI values.

Figure 2 The distribution of WSI values.

Figure 3 WAI values for all products at various temperatures.

Figure 3 WAI values for all products at various temperatures.

Figure 4 WAI values for all products at various feed moisture contents.

Figure 4 WAI values for all products at various feed moisture contents.

Figure 5 WAI values for all products at various feed rates.

Figure 5 WAI values for all products at various feed rates.

Figure 6 WAI values for all products at various screw speeds.

Figure 6 WAI values for all products at various screw speeds.

Figure 7 WSI values for all products at various temperatures.

Figure 7 WSI values for all products at various temperatures.

Figure 8 WSI values for all products at various feed moisture contents.

Figure 8 WSI values for all products at various feed moisture contents.

Figure 9 WSI values for all products at various feed rates.

Figure 9 WSI values for all products at various feed rates.

Figure 10 WSI values for all products at various screw speeds.

Figure 10 WSI values for all products at various screw speeds.

A number of difficulties arise when trying to summarize published of WAI and WSI values. Firstly, different cultivars or hydrides of the same plants are used as raw materials. Secondly, processing conditions are not always well-defined and the variability of them has wide limits. Thirdly, the processing conditions are interrelated, making it difficult to relate the values of indices to any one single independent variable. Moreover, most raw materials in food processing are mostly of biological origin and their physical and compositional variations can be considerable.

CONCLUSION

Literature data of WAI and WSI values of food materials or blends were organized into a data base and presented. It is important to consider similar features in order to provide reproducible data and when comparing these values. Furthermore, the data can be used in research to validate structural models and to develop generic models to predict WAI and WSI values of food materials.

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