The Development of Methods to Predict Asian Noodle Quality from Wheat and Flour Characteristics


Book Description

Western Australia is a major producer of high quality wheat for Japanese white salted noodles known as udon, whereas Australian Prime Hard wheat from Queensland and NSW is keenly sought in Japan for the manufacture of yellow alkaline noodles, known as ramen. There is some potential for the latter wheat type to be grown in Western Australia in some low rainfall areas, particularly in situations where high protein grain can be achieved. While the wheat quality requirements of udon have been thoroughly investigated, those for ramen are less well understood, particularly the starch type needed to give the preferred texture. The main aims of this research were: to develop an improved understanding of the effects of starch quality on the texture of ramen, and particularly to develop improved methods to measure starch quality and to predict quality in ramen and other Asian noodle types.




Asian Noodles


Book Description

In Asian Noodles: Science, Technology and Processing, international experts review the current knowledge and offer comprehensive cutting-edge coverage on Asian noodles unmatchable in any publication. The authors cover an array of topics including breeding for noodle wheat, noodle flour milling, noodle flour quality control and analysis, noodle processing, sensory and instrumental measurements of noodle quality, the effects of wheat factors on noodle quality, packaging and storage, nutritional fortification of noodle products, noodle flavor seasoning, and noodle plant setup and management.




Asian Noodle Manufacturing


Book Description

Asian Noodle Manufacturing: Ingredients, Technology, and Quality is a comprehensive handbook for the manufacture of noodles that includes traditional styles and gluten free and whole grain varieties. The book is split into three main sections, with the first detailing the ingredients in noodles and information on how ingredient functionality affects their processing. The second section details the actual manufacture and quality assurance in producing noodle products, with the final section detailing advances in varieties of noodles. Particular attention is paid to gluten free and whole grain noodles, both of which are becoming increasingly popular around the world. Written by an expert with over twenty years of experience in the production and quality assurance of noodles, the book is essential reading for those in the food industry who are tasked with the development of new noodle based products. - Contains coverage of ingredient functionality in noodle processing - Presents sections on traditional noodles, along with whole grain and gluten free varieties - Presents the latest developments in processing technology - Discusses how ingredients affect processes - Includes information on quality control




Quality Assessment of Asian Noodles Made from U.S. Wheat Flours Using Sensory Descriptive Analysis


Book Description

As a major wheat exporter to countries all over the world, the United States has to produce wheat that satisfy different quality requirements requested by their customers. Over the past decade the United States has encountered a major problem, that of losing market share in Asia to Canada and Australia. The major reason was that the United States was unable to supply Asian countries with quality wheat suitable for noodle production. To overcome the problem, the U.S. wheat industry needs to understand the specific quality requirements required for Asian noodles. Research on understanding sensory characteristics of Asian noodles was proposed to bridge the communication barrier regarding Asian noodle quality. Descriptive analysis was utilized for this study to provide sensory characteristics of noodles from different Asian countries. In the first study, four classes of U.S. wheat flour samples were evaluated for their ability to make high quality Taiwanese noodles. Taiwanese noodle industry representatives came to the United States and made 4 major types of their noodles using U.S. wheat flours; they evaluated them by employing both the Taiwanese industries' scoring system and modified descriptive analysis. The results of this study indicated that hard white wheat was suitable for making two types of Taiwanese noodles (dry and yee noodles), a blend of hard red winter and hard red spring wheat was suitable for wet noodles, and a blend of hard red winter and white wheat was suitable for fresh noodles. The second study was undertaken to better understand the texture profile of noodles from various Asian countries. Sensory texture characteristics of fresh noodles from Taiwan, Thailand, and Malaysia were identified. A total of 16 patent flour samples for Taiwan, and 18 straight grade flour samples each for Thailand and Malaysia, were milled from hard white wheat varieties and made into each Asian country's noodles. A texture profile of each country's noodles was developed by an Oregon State University descriptive panel while quality evaluation was performed by each countries' noodle experts. The results characterized the Taiwanese noodles as the smoothest, springiest, and highest in integrity of noodles; the Thai noodles were the hardest, most dense, cohesive noodles and also higher in starch between teeth and toothpull; and the Malaysian noodles were the softest, least dense, cohesive, and sticky noodles. The optimum protein to achieve specific texture quality for each country was identified.




Yellow Alkaline Noodles


Book Description

This Brief will provide an overview of various types of noodles with special emphasis on yellow alkaline noodles. It includes detailed discussions about yellow alkaline noodles including their ingredients, processing technology, the factors affecting their nutritional value and quality. Recent developments and potential ways of improving ingredient quality and enhancing their shelf life are the hallmark of this Springer brief. Noodles are one of the oldest forms of processed foods and they comprise an important part of the diet of various Asian countries, and are popular world-wide. Yellow alkaline noodles specifically are the preferred noodle of Southeast Asia (e.g., China, Indonesia, Malaysia, and Thailand, Japan and Korea) and accounts for ~30% wheat flour consumption in some countries.




Instrumental and Sensory Texture Profile Analysis of Asian Wheat Noodles


Book Description

Texture, a critical property of Asian wheat noodles, is normally assessed by sensory evaluation. However, sensory evaluation may be impractical for wheat breeders and noodle researchers who need to evaluate a large number of samples and have limited sample. Instrumental Texture Profile Analysis (TPA) has been widely employed to evaluate Asian wheat noodle texture. Nevertheless, a standardized method for performing TPA on these products has not been established. A series of studies were conducted to develop a testing method to best relate TPA results to sensory texture characteristics of Asian wheat noodles. First, the optimum TPA testing conditions (crosshead speed and degree of deformation) were determined for each noodle category (alkaline, instant fried, salted flat, and salted round), and were defined as the conditions which best related their results to the sensory data. Partial Least Squares (PLS2) was used to examine relationships between sensory first-chew characteristics (hardness, cohesiveness, springiness, denseness, starch between teeth, and toothpull) and TPA output (peak areas and heights). Response Surface Methodology determined the optimum TPA conditions (crosshead speed and % deformation) as follow: 1 mm/s and 85 % for alkaline, 1 mm/s and 70% for instant fried and salted round, and 5 mm/s and 65 % for salted flat noodles. Second, the effects of two sample cooking factors: noodle weights (20, 50, 100 g) and noodle to water ratios (1:10, 1:20) and three holding factors: media (with, without water), temperatures (25, 55 °C), and times (2, 15, 30 min), on the TPA results were investigated. Cooking factors did not significantly affect the TPA results but higher holding temperatures, the use of water as a holding media, and longer holding time significantly decreased most TPA parameters' values. Third, relationships between TPA and sensory first-chew parameters were examined for each noodle category. Predictive models of each sensory first-chew attribute were developed using linear and nonlinear (Fechner and Stevens) models, with single and multiple parameters. Hardness could be satisfactorily predicted by a single TPA parameter (area 1 or area 2), but other attributes required multiple parameters in the models to be satisfactorily predicted. Different model types were selected for each sensory attribute and noodle category. TPA peak area 1 and 2 were the best predictors for first-chew characteristics of cooked Asian wheat noodles.




Food Engineering Aspects of Baking Sweet Goods


Book Description

Most baking books do not focus on the simultaneous heat and mass transfer that occurs in the baking process, thereby ignoring a fundamental facet of process and product development. Addressing the engineering and science elements often ignored in current baking books, Food Engineering Aspects of Baking Sweet Goods explores important topics i




Kernel Hardness, Protein, and Viscosity as Predictors of Udon- Noodle Quality


Book Description

The Asian noodle market is responsible for the increased volume of wheat imported to that region in recent years. Soft white wheat produced in the Pacific Northwest is mainly used for baked products, whereas an Australian wheat, Australian Standard White, is preferred for noodles. To enter this market soft white-wheat cultivars with properties similar to or better than Australian Standard Whitemust be developed. This process is difficult as little is known of the factors that influence noodle quality. The use of grain-protein percentage, kernel hardness, and six viscosity parameters measured by the Rapid Visco Analyzer for predicting Japanese udonnoodle quality was evaluated. The Rapid Visco Analyzer was developed to indicate quickly and reliably the starch properties of a small wheat sample. Experimental material included advanced winter-wheat selections from the Oregon State University wheat-breeding program and Stephens, a widely grown winter-wheat cultivar. Two commercial spring cultivars, Owens and Klasic, thought to have good noodle quality were used as checks as was straight grade flour milled from Australian Standard White wheat. The material was grown at two locations (Rugg and Chambers) which represent diverse environments and management systems. Protein content, kernel hardness, and six viscosity parameters (Peakl, Low, Peak2, Peakl-Low, Peak2-Low, Peakl-Peak2) were measured. A sensoryevaluation panel evaluated the end product for surface appeal, texture, and taste. Within each location differences were found for all traits except protein content at the Rugg site and surface appeal at the Chamber location. Between the two experimental sites the only traits for which no differences were detected were kernel hardness and surface appeal. Significant entry by location interactions were observed for kernel hardness, Peakl- Peak2, and the three sensory-evaluation traits. Kernel hardness and grain-protein percentage were not associated, however both were negatively associated with the viscosity parameters. Associations of grain-protein, kernel hardness, and the viscosity parameters with the sensory evaluation traits were not statistically determined. A softer kernel texture appeared most useful for predicting Japanese udon-noodle quality as determined by sensory evaluation. Grain-protein percentage was not a good indicator by itself, but each cultivar may have a protein-content range within which noodle quality is optimized. This range may be influenced by the kernel texture. The viscosity parameters did not appear useful for predicting noodle quality as determined by the sensory evaluation panel. A more sensitive sensory evaluation method may be required to detect small however important differences and different viscosity parameters should be investigated. Based on the sensory-evaluation data several experimental entries appeared promising in having the desired quality profile for Japanese udon-noodles.




Wheat Flour Arabinoxylans in Soft Wheat End-use Quality


Book Description

Little is known about the effects of arabinoxylans (AX) on noodle quality. The aim of this study was to observe interrelationships between wheat flour AX, SRC tests, and noodle quality attributes, and to investigate the use of SRCs to predict cookie diameter. Cookie diameter is the most common index of overall soft wheat quality used in practice. Duplicate samples of 63 soft white wheat (Triticum aestivum) varieties and breeding lines grown at Corvallis in 2002 were selected to study the relationships between flour and noodle characteristics. Kernel hardness was positively correlated with starch damage, total AX and water-extractable AX (WEAX) content but negatively correlated with break flour yield. In this set of samples, despite significant correlations, the sodium carbonate and sucrose SRC tests were not considered to be reliable predictors of cookie diameter due to low numerical correlation coefficients. A modified extraction method for WEAX-SE and WUAX-SE was optimized and reduced in scale. During method development, WUAX 1-SE and WUAX 2-SE fractions that had been treated with protease and amylase respectively were observed using SEHPLC. The equivalent fractions had been discarded in other studies. In this study, AX was found to present in these fractions. A subset of 12 lines was used for further AX extraction. WUAX 2-SE had the highest molecular weight, followed by WUAX1-SE, and then WEAX-SE. The molecular weights of WEAX-SE ranged from approximately 411,305 and 447,282. However, molecular weight of WUAX 1-SE and WUAX 2-SE could not be specifically defined in this study. In addition, WEAX-SE contained a higher degree of substitution than WUAX 1-SE and WUAX 2-SE. For the whole sample set, flour protein content was negatively correlated with ti5A cooked noodle hardness, adhesiveness and chewiness but positively correlated with springiness. At the very low flour protein contents of this sample set, protein composition, which related to lactic acid SRC, became more important for noodle texture. Both starch damage and sodium carbonate SRC were positively correlated with cooked noodle hardness and chewiness at t0 and t [subscript 15A] Total AX and WUAX were positively correlated with adhesiveness at to, which might result from gummy and sticky characteristics of AX. Using the subset of 12 lines, described above, increased xylose and arabinose contents reflected overall higher AX abundance, and were related to harder kernel texture, poor milling properties. They were also related to higher water, carbonate and sucrose SRCs, and smaller cookie diameter. A/X ratios of WEAX-SE and WUAX 1-SE were positively correlated with flour yield and break flour yield. The WUAX 2-SE fraction seemed to behave different from the WEAX-SE and WUAX 1-SE fractions. The relationships between A/G ratio, and milling characteristics and SRC were opposite to A/X ratios for all fractions. Decreased MW and increased abundance of WUAX in this sample set was related to poorer milling characteristics. There appeared to be no direct systematic relationships between AX and cooked noodle texture parameters in this study. However, AX content appeared to affect noodle texture indirectly, mediated through the effects ofAX on kernel hardness, milling properties, starch damage, reduced FSV, and hence harder noodle texture. Kernel hardness index, flour yield, break flour yield and tisw cooked noodle hardness were able to be predicted with some confidence using stepwise multiple regressions that used selected parameters from the WEAX, WUAX 1-SE and WUAX 2-SE fractions.




Cereal Grain Quality


Book Description

Cereal uses range from human food and beverages to animal feeds and industrial products. It is human food and beverages which are the predominant uses covered in this book, since the nutritional quality of cereals for animal feed is described in other publications on animal nutrition, and industrial products are a relatively minor use of cereals. Cereals are the main components of human diets and are crucial to human survival. Three species, wheat, rice and maize, account for the bulk of human food. Barley is the major raw material for beer production and ranks fourth in world production. Other species such as sorghum are regionally important. This book covers all the major cereal species: wheat, rice, maize, barley, sorghum, millet, oats, rye and triticale. Specific chapters have been devoted to a description of the major end-uses of each of the species and to definition of the qualities required for each of their end uses. The functional and nutritional quality of cereals determines their suitability for specific purposes and may limit the quality of the end product, influencing greatly the commercial value of grain. An under standing of the factors that determine grain quality is thus important in the maintenance of efficient and sustainable agricultural and food production. The biochemical constituents of the grain that determine quality have been described in chapters on proteins, carbohydrates and other components. An understanding of the relationships between grain composition and quality is important in selecting grain for specific uses.