High Resistant Starch Rice: Variation in Starch Related SNPs, and Functional, and Sensory Properties

Human diets containing greater resistant starch (RS) are associated with superior glycemic control. Although high amylose rice has higher RS (29 g/kg to 44 g/kg) than lower amylose content varieties, sensory and processing properties associated with RS have not been evaluated. This study used variants of Waxy and starch synthase II a (SSIIa) genes to divide high amylose (256 g/kg to 284 g/kg) varieties into three haplotypes to examine their effects on RS, RVA parameters, and 14 cooked rice texture properties. RVA characteristics were influenced by both genes with peak and hotpaste viscosity differentiating the three haplotypes. Setback from hotpaste viscosity was the only RVA parameter correlated with RS content across three haplotypes (r = −0.76 to −0.93). Cooked rice texture attributes were impacted more by Waxy than by SSIIa with initial starch coating, roughness, and intact particles differentiating the three haplotypes. Pairwise correlation (r = 0.46) and PCA analyses suggested that roughness was the only texture attribute associated with RS content; while protein content influenced roughness (r = 0.49) and stickiness between grains (r = 0.45). In conclusion, variation exists among genetic haplotypes with high RS for sensory traits that will appeal to diverse consumers across the globe with limited concern for negatively affecting grain processing quality.

2018 National Beef Flavor Audit: Consumer and Descriptive Sensory Attributes

Beef flavor has been identified as a driver of consumer acceptability; however,  little is known about variability of flavor in major retail beef cuts. Four beef cuts (chuck roast = 50, top sirloin steaks = 49, top loin steaks =50, and 80/20 ground beef = 50) were obtained from retail stores in Miami, Los Angeles, Portland, New York, and Denver during a two-month period in 2018. Beef present in the retail beef cases were purchased to be representative of consumer selections.  Production systems or package claims were documented.  Chuck roasts were oven roasted and top loin, top sirloin and ground beef (made into patties) were grilled to an internal temperature of 71˚C. An expert, trained flavor and texture descriptive attribute sensory panel evaluated beef flavors, aromas and textures and consumer sensory panels in Fort Collins CO and Lubbock TX evaluated beef for overall, overall flavor, beef flavor, grilled flavor, juiciness and texture liking.  Ground beef was more intense (P <0.0001) in brown, fat-like, green hay, and sour milk/sour dairy flavor aromatics; and salty and sweet basic taste than steak cuts. Additionally, ground beef patties had the lowest levels (P<0.0001) of bloody/serumy, metallic, and liver-like flavor aromatics. Chuck roasts had the lowest levels of (P<0.0001) beef flavor identity, brown, and roasted flavor aromatics, and salt and umami basic tastes. Sirloin steaks were lowest (P<0.0001) in fat-like flavor aromatics and most intense (P<0.0001) in burnt and cardboardy flavor aromatics; and bitter and sour basic tastes. Sirloin steaks and chuck roasts were more intense in metallic and liver-like (P<0.0001) flavor aromatics. Ground beef patties had a higher incidence of green hay-like.  Consumers rated chuck roasts lowest for overall, overall flavor, grilled flavor and juiciness liking (P<0.04).  Ground beef pattes and top loin steaks had the highest consumer texture liking (P<0.0002). Therefore, variation in beef flavor attributes were identified in retail beef cuts and ground beef.  Beef descriptive flavor and texture attributes were related to consumer liking and negative flavor aromatic attributes were identified.

Comparative Analysis of the Chemical Composition and Physicochemical Properties of the Mucilage Extracted from Fresh and Dehydrated Opuntia ficus indica Cladodes

The development of sustainable extraction methods to obtain natural products constitutes a challenge for the food industry. The aim of this work was to compare yield, separation efficiency, chemical composition, and physicochemical properties of the mucilage extracted from fresh cladodes (FNM) and mucilage extracted from dehydrated cladodes (DNM) of O. ficus indica. Suspensions of fresh and dehydrated cladodes (4% w/w) were prepared for mucilage extraction by using a mechanical separation process. Subsequently, the separated mucilage was precipitated with ethyl alcohol (1:2 v/v) then, yield and separation efficiency were determined. The mucilage was characterized by measuring Z potential, viscosity, color, and texture attributes. Additionally, chemical proximate analysis, scanning electron microscopy, and thermogravimetric analysis (TGA) were conducted. No significant differences (p < 0.05) were detected in the yield and separation efficiencies between samples. Nevertheless, the dehydration process of cladodes prior to mucilage extraction increased protein, ashes, nitrogen free extract, and calcium content. The viscosity was higher in DNM than in FNM. The TGA revealed a different thermal behavior between samples. In addition, the DNM showed lower L (darkness/lightness), cohesiveness, adhesiveness, and springiness values than those of FNM. These results support that differences found between the chemical and physicochemical properties of DNM and those of FNM will determine the applications of the mucilage obtained from the O. ficus indica cladodes in the food, pharmaceutical, and cosmetic industries.

Palm oil substitution in hazelnut spread

One of the most important components in spreads is the fat phase. The characteristics of the used fat determine most of the quality factors of the products such as viscosity, texture, colour, shelf life, etc. In these kinds of products, the commonly used fat is palm fat, however, in recent years it has had a bad press due to its negative environmental impact and health concerns. Therefore, the aim of our research was to develop a palm oil free hazelnut spread. We investigated the effect of replacing the fat in the fat phase with milk fat or coconut fat to the apparent viscosity, colour and texture properties of the product. According to our results the palm fat had the highest and coconut fat had the lowest viscosity. In texture analyses palm fat and milk fat showed no significant difference in hardness and in work of penetration. Coconut fat was significantly different in every texture attributes from the other samples. In the case of colour measurement all samples were significantly different. Despite the observed differences in some parameters the suitability of milk fat for hazelnut spread production should be further investigated (sensory analyses, shelf-life).

3D GPR attributes to generate classified facies models: A case study from a dune island

Ground-penetrating radar (GPR) is a standard geophysical technique to image near-surface structures in sedimentary environments. In such environments, GPR data acquisition and processing are increasingly following 3D strategies. However, the processed GPR data volumes are typically still interpreted using selected 2D slices and manual concepts such as GPR facies analyses. In seismic volume interpretation, the application of (semi-)automated and reproducible approaches such as 3D attribute analyses as well as the production of attribute-based facies models are common practice today. In contrast, the field of 3D GPR attribute analyses and corresponding facies models is largely untapped. We develop and apply a workflow to produce 3D attribute-based GPR facies models comprising the dominant sedimentary reflection patterns in a GPR volume which images complex sandy structures on the dune island of Spiekeroog (Northern Germany). After presenting our field site and details regarding our data acquisition and processing, we calculate and filter 3D texture attributes to generate a database comprising the dominant texture features of our GPR data. Then, we perform a dimensionality reduction of this database to obtain meta texture attributes, which we analyze and integrate using composite imaging and (also considering additional geometric information) fuzzy c-means cluster analysis resulting in a classified GPR facies model. Considering our facies model and a corresponding GPR facies chart, we interpret our GPR data set in terms of near-surface sedimentary units, the corresponding depositional environments, and the recent formation history at our field site. Thus, we demonstrate the potential of the proposed workflow, which represents a novel and clear strategy to perform a more objective and consistent interpretation of 3D GPR data collected across different sedimentary environments.

Quality characteristics of chicken sausages using a combination of jack bean (Canavalia ensiformis L.) and soy protein isolate as a binder

Jack beans are one of the legumes with a high protein content to make protein isolates. This research aimed to evaluate the physical, sensory and proximate qualities of chicken sausages with jack bean protein isolate (JBPI) and the combination of JBPI and soy protein isolate (SPI) as a binder to improve the quality of the chicken sausages. This research included the preparation of JBPI and chicken sausages. The treatments were formulated as follows: control (without JBPI and SPI); T1 (SPI: JBPI = 100: 0); T2 (SPI: JBPI = 80:20); T3 (SPI: JBPI = 60:40); T4 (SPI: JBPI = 40: 60); T5 (SPI: JBPI = 20: 80); T6 (SPI: JBPI = 0: 100). The analysis of the physical, sensory, and proximate properties of sausages have been performed. The results showed that the JBPI protein content was high at 93.98% db, and contained higher essential amino acids than the FAO/WHO standards, i.e., leucine, lysine, phenylalanine + tyrosine, threonine. The combination of JBPI and SPI improved emulsion stability, lightness, yellowness, texture properties, protein content, and reduced cooking loss and redness of chicken sausages compared to control (p<0.05). The results of the sensory evaluation showed that the overall preference, slice properties, and texture attributes of chicken sausage with the addition of a combination of SPI and JBPI were 40:60 (T4) significantly different from the control received by the panellists (p<0.05). The formulation with the addition of a combination of SPI and JBPI of 40:60 was the optimal treatment because it improves the overall physical, sensory, and chemical characteristics of the resulting chicken sausage. JBPI had the potential as an alternative to substitution for SPI.

Identifying the drivers of liking for texture attributes of Vietnamese sausage

Vietnamese sausage (cha lua), a pork processing food with a characteristic chewy and crunchy texture, are widely consumed in Vietnam. However, there are not many established researchs on hedonic and sensory attributes for this product, especially about the texture attributes. The goal of this study was to investigate consumer's preference as well as identify the drivers of liking for texture of Vietnamese sausage. Eight samples were prepared with various ratio of lean meat, lard and starch to cover a wide range of different texture of Vietnamese sausage. Sixty eight consumers then evaluated these eight samples, rating texture liking on nine-point scale and answering a checkall- that-apply (CATA) question, which consisted of 16 different texture attributes of Vietnamese sausage. The consumers were also asked to check all the approriate attributes to describe their ideal products. The ANOVA and post –hoc test showed samples which had recipes with high lard ratio (20-25%) and low meat ratio (70%) had a significant higher liking scores, while the samples which had recipe with high meat ratio (90%) had the lowest liking scores. The Cochran's Q test showed that 12 attributes had different choice frequency between samples, suggesting the texture of Vietnamese sausage is complex and diverse. The CA results showed all the samples without stach were associated with large air holes, while samples which high meat ratio (80%) were associated with hardness. The ideal Vietnamese sausage product was associated with fattiness, juiciness, springiness and brittleness. Finally, the results of penalty analysis showed that chewy, firm, and elastic attributes had positive impacts on the liking score for Vietnamese sausage products, while attributes that exhibit heterogeneity, such as large air hole and grainy, significantly reduced the liking score of the product. This suggested the importance of mechanical texture attributes and homogenity on the consumer's preference of the Vietnamese sausage.