The wet gluten quantity is usually determined by the manual washing or Gluten Index Method (GIM), a fully automatic rapid method. The aim of this study was to compare the GIM with the Romanian methods used for analysis of wet gluten quantity and quality, and to establish the ratio between wet gluten content and grain protein content for different Romanian wheat varieties. The results indicate that there is no statistically significant difference between the tested methods. The linear correlation coefficients calculated for the wet gluten content measured by GIM and manual washing methods were r2 = 0.93, in case of SR ISO 21415-1:2007 method, and r2 = 0.90, in case of the method proposed in 2008 (Manual de gradare pentru seminte de consum). The WG/P ratios ranged between 1.91 and 2.26.
Key words: wet gluten quantity, wheat quality, Gluten Index Method
1. Introduction
Gluten forming proteins play key roles in baking quality of wheat by improving the water absorption capacity, extensibility and elasticity of the dough.
The quantity and quality of gluten are considered the most important quality parameters of wheat flour. Wet gluten content is determined by washing the dough obtained from flour or wheat meal, with water or other solution (e.g. NaCl solution), in certain conditions, to remove the starch and other soluble compounds of the sample (Mis, 2000). The rubbery mass that remains after washing is the wet gluten. The results obtained are highly influenced by the working condition and the type of solution used for dough washing. It is recommended to use NaCl solutions (2%) for washing the gluten to annihilate the influence of different minerals normally occurring in drinking water. In order to avoid the proteolytic enzymes of the wheat acting on the gluten forming proteins, the washing time shouldn't be longer than 30 min (Bordei et al., 2007).
The gluten content is directly correlated to the grain protein, which is strongly influenced by the pedoclimatic conditions. However, the wheat genotype is considered the most important factor influencing the qualitative characteristics of gluten (Mariani et al., 1995; Simic et al., 2006; Bilgin and Korkut, 2005). Any increase in total protein content of the flour determines a gluten content increase (Perten et al., 1992). Ratio between wet gluten content and grain protein content showed that WG/P ratio is considered as an indicator of wet gluten production per protein unit. Simic et al. (2006) reported that Croatian wheat with WG/P ratios ranging between 2.7 and 3.0 have gluten with optimal baking characteristics, while cultivars with strong gluten characteristics showed the WG/P ratio closer to 2.3.
The wet gluten quantity could be determined by manual washing or GIM that is a fully automatic and rapid method. GIM is advantageous because it provides information on both quantity and quality of wet gluten, it is user-friendly, fast (one analysis takes 7 minutes), and the required amount of samples is quite small (10 g flour).
Tests carried out in many countries indicate that flours for the production of bakery products have the gluten index values of 60 to 90 (Curic et al., 2001). A high gluten index, exceeding 95, indicates strong gluten, while index values lower than 60 indicate flours too weak for bread production.
The aim of this study was: (i) to compare the GIM with SR ISO 21415-1:2007 method and the official method mentioned in the 'Manual de gradare pentru seminte de consum' (2008) used for the evaluation of the quantity and the quality of wet gluten, and (ii) to determine the ratio between wet gluten content and grain protein content for different wheat samples. Even if not all three compared methods are standardized, they are equally recommended and nowadays accepted for wet gluten quantity and quality evaluation by the Romanian Ministry of Agriculture and Rural Development.
2. Materials and methods
Ten wheat samples harvested in the wheat-growing regions of Moldavia, Romania, in 2009 were used in the present study. The wheat samples were ground in the laboratory Mill 120 (Perten Instruments AB).
The wet gluten content of the wheat samples was determined manually according to methods stated in SR ISO 21415-1:2007 and in Manual de gradare pentru seminte de consum (2008) and through GIM (AACC 38-12.02 method). The gluten index values for all wheat samples were determined using the Glutomatic 2200 system (Perten Instruments AB). The moisture content was determined according to the SR ISO 712:2005 method, the protein content by the NIR technique (Inframatic, model 8600, Perten Instruments AB), and the gluten deformation according to the SR ISO 90/2007. All tests were carried out in triplicate, and the average values were reported together with standard deviation (SD).
3. Result and discussion
The results of the wet gluten content, wet gluten deformation and gluten index are presented in Table 1 as mean values and standard deviations. In case of the wet gluten content determined by GIM, the standard deviation of the repeatability was 1.15, smaller than the case of the manual washing method. Figures 1, 2 and 3 show the wet gluten, wet gluten deformation and gluten index of the two wheat samples analyzed.
The wet gluten content was higher in case of the method described in 'Manualul de gradare pentru seminte de consum', that requires 30 min storage period of the dough with the washing solution (Table 1). The storage time caused significant changes of the wet gluten properties. In case of wheat samples with poor gluten, higher differences were observed in terms of gluten deformations when comparing the SR ISO 21415-1:2007 method which doesn't require dough storage, and the method from 'Manual de gradare pentru seminte de consum' (2008) that requires time storage. For example, in case of sample 2 (Figures 2 and 3) the gluten index was 78 and a gluten deformation differences of 3 mm (from 15 mm to 18 mm) was recorded, while in case of wheat sample 5 (Figures 2 and 3) the gluten index was 98 and the gluten deformation difference was 0.9 mm (from 8 mm to 8.9 mm).
Mis (2000) emphasized in his study the influences of the time storage on the wet gluten content and its quality expressed as gluten index. In addition, Mis (2000) showed that the time storage, as well as the gluten fragmentation (each gluten sample was split into 1 - 6 equal parts) and the amount of wet gluten used for analysis (from 0.5 to 3.5 g) influence the physical properties of the wet gluten and the final value of the gluten index measured by the GIM method.
In order to compare the three methods used to assess the wet gluten content, the F-test was applied. The results of statistical evaluation showed that there is no statistical significant difference between the testing methods. When considering GIM and Wg-m1 the F = 1.42 < Ftab (0.05) = 3.18,while in case of considering GIM and Wg-m2 the F = 1.17 < Ftab (0.05) = 3.18.
For GIM and Wg-m1, and for GIM and Wg-m2, the linear correlation coefficient of wet gluten content was estimated as follows:
Wg-m1 = 0.8081 x GIM + 5.8265, r2 = 0.9287,
Wg-m2 = 0.8775 x GIM + 5.4175, r2 = 0.9009.
Curic et al. (2001) reported a linear correlation coefficient of r2 = 0.945 when comparing GIM and the manual washing methods used to measure the wet gluten. Our statistical results show that GIM can be recommended for determining the wet gluten quantity and can be used to replace the classical method consisting of manual gluten washing. Therefore, it is important to state the method used when reporting this parameter.
Regarding the ratio between the wet gluten content and the grain protein content, the results are presented in Figure 4. The WG/P ratios were small (Chung et al., 1996; Williams, 1997; Simic et al., 2006) and ranged between 1.91 and 2.26. When analyzing the Canadian wheat Chung et al. (1996) and Williams (1997) reported a WG/P ratio of 2.6, for the Western Extra Strong wheat, and 3.0 for Western Soft White Spring wheat. Simic et al. (2006) reported for the Croatian wheat, WG/P ratios ranging from 2.27 to 2.90.
4. Conclusions
The results of the statistical evaluation show that there is no statistically significant difference between the wet gluten content determined by the three testing methods. The GIM method can be recommended for the determination of the wet gluten quantity and successfully replace the classical method consisting of manual gluten washing. The WG/P ratios estimated through the three testing methods ranged from 1.91 to 2.26 in case of all the wheat samples.
Acknowledgment
This research was financially supported by the Project 52-132/01.10.2008 of the Romanian National Centre for Programme Management (R&D Programme Partnerships in Priority S & T Areas / 2nd National Plan for Research, Development & Innovation 2007-2013).
References
AACC International. 2000. Approved Methods of the American Association of Cereal Chemists. 10th Ed. Method 38-12.02. The Association: St. Paul, MN.
ASRO. 2008. Metode de analiza a cerealelor si produselor de macinis. SR ISO 712:2005, SR ISO 21415- 1:2007, SR ISO 90:2007, Bucuresti.
Bilgin, O., Korkut, K.Z. 2005. Determination of Some Bread Quality and Grain Yield Characters in Bread Wheat (Triticum aestivum L.), International Journal of Agriculture & Biology, 7(1), 125-128.
Bordei, D., Bahrim, G., Paslaru, V., Gasparotti, C., Elisei, A. Banu, I., Ionescu, L., Codina, G. 2007. Controlul calitatii in industria panificatiei, Editura Academica, Galati.
CNGSC. 2008. Manual de gradare pentru seminte de consum, Comisia Nationala de Gradare a Semintelor de Consum.
Curik, D., Karlovic, D., Tusak, D., Petrovic, B., Dugum, J. 2001. Gluten as a Standard of Wheat Flour Quality, Food Technology and Biotechnoogy, 39(4), 353-361.
Mariani, B.M., D'Egidio, M.G., Novaro, P. 1995. Durum wheat quality evaluation: Influence of genotype and environment, Cereal Chemistry, 72(2), 194-197.
Mis, A. 2000. Some methodological aspects of determining wet gluten quality by the Glutomatic Method (a laboratory note), International Agrophysics, 14, 263-267.
Perten, H., Bondesson, K., Mjorndal, A. 1992. Gluten index variation in commercial Swedish wheat sample, Cereal Foods World, 37, 655-660.
Simic, G., Horvat, D., Jurkovic, Z., drezner, G., Novoselovic, D., Dvojkovic, K. 2006. The genotype effect on the ratio of wet gluten content to total wheat grain protein, Journal Central European Agriculture, 7(1), 13-18.
VIOLETA IONESCU, GEORGETA STOENESCU
Research laboratory Arcada, Arcada Mill, Lunca Siretului, Zona Banda Barbosi /1 bis, 800416, Romania [email protected]
INA VASILEAN, IULIANA APRODU, IULIANA BANU
Dunarea de Jos University, Faculty of Food Science and Engineering, Galati, 111 Domneasca St., 800201 Galati, Romania
Received 27 February 2010
Revised 14 May 2010
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Copyright Universityi Dunarea de Jos of Galati 2010
Abstract
The wet gluten quantity is usually determined by the manual washing or Gluten Index Method (GIM), a fully automatic rapid method. The aim of this study was to compare the GIM with the Romanian methods used for analysis of wet gluten quantity and quality, and to establish the ratio between wet gluten content and grain protein content for different Romanian wheat varieties. The results indicate that there is no statistically significant difference between the tested methods. The linear correlation coefficients calculated for the wet gluten content measured by GIM and manual washing methods were r^sup 2^ = 0.93, in case of SR ISO 21415-1:2007 method, and r^sup 2^ = 0.90, in case of the method proposed in 2008 (Manual de gradare pentru seminte de consum). The WG/P ratios ranged between 1.91 and 2.26. [PUBLICATION ABSTRACT]
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer