This study was conducted to determine the physical and chemical composition of goat milk produced by eight local farms located in the central region of Malaysia. Farms 1 to 4 (Fl-SC, F2-SP, F3-SP, F4-SBC) reared Saanen-type goats while farms 5 to 8 (F5-JK, F6-JPEC, F7-JTC, F8-JC), Jamnapari-type goats. The common feedstuffs used in all farms comprised of fresh or silage from Napier grass, feed pellets, and brans while two farms, F5-JK and F6-JPEC supplemented the feeds with soybean-based product. The total solid content, dry matter, and proximate composition of goat milk and feedstuffs from the different farms were determined and the results analysed using principal component analysis. Total solid content of goat milk from the Jamnapari crossbreed had the highest solid content ranging from 11.81% to 17.54% compared to milk from farms with Saanen and Saanen crossbreed (10.95% to 14.63%). Jamnapari-type goats from F5-JK, F6-JPEC, and F8-JC had significantly higher (p < 0.05) milk fat and protein contents (7.36%, 7.14%, and 6.59% fat; 5.08%, 6.19%, and 4.23% protein, respectively) than milk from other farms but, milk produced by Saanen-type goats from F4-SBC contained similar protein content (4.34%) to that from F8-JC. Total ash and carbohydrate contents in milk ranged between 0.67% to 0.86% and 3.26% to 4.71%, respectively, regardless of goat breed. Feeding soybean-based products appear to have a positive influence on milk fat and protein content in Jamnapari-type goats.

Optimization conditions of Lipozyme RM IM lipase esterification of capric and stearic acids with glycerol for the production of medium- and long-chain triacyglycerols (MLCT) fat suitable for food applications such as margarine and shortening were investigated. Response surface methodology (RSM) was applied to model and optimize the reaction conditions, namely, the reaction time (8-24 h), enzyme load (5-15 wt.%), and fatty acids/glycerol ratio (3:1-4:1) and represented by Ti, En, and Sb, respectively. Best-fitting models were successfully established for both MLCT yield (R (2) = 0.9507) and residual FFA (R (2) = 0.9315) established by multiple regressions with backward elimination. Optimal reaction conditions were 13.6-14.0 h for reaction time, 7.9-8.0 wt.% for enzyme load, and 3:1 for fatty acids/glycerol molar ratio. Chi-square test showed that there were no significant (P > 0.05) differences between the observed and predicted values of both models. Refined MLCT fat blend had sufficient solid fat at room temperature and made it suitable to use as a hard stock in shortening and margarine production.

Response surface methodology (RSM) was employed for optimising the formulation and processing parameters of red cabbageroselle mixed drink. In this study, four independent variables namely red cabbage-roselle extracts concentration (30 to 70%), stingless honey concentration (1–10%), pasteurisation temperature (70–90°C), and pasteurisation time (30–300 s) were studied in order to determine the effect of the formulation (ingredients) and processing parameters towards the colour and anthocyanins content of the mixed drinks. Thirty different experimental combinations generated by RSM design were studied on the responses i.e. colour values (L*, a*, b*) and total anthocyanin content of red cabbage-roselle mixed drink. The optimal formulation and processing condition were obtained with a 70% combination of red cabbage-roselle extracts concentration and 1% of stingless honey concentration, with pasteurisation temperature, and time of 70.01°C and 284.07 s, respectively. In order to verify the models, the experimental values were compared with the predicted values to check the adequacy of the models. The experimental values were found to be in agreement with those predicted, thus, indicating the suitability of the models used by RSM to optimise the formulation and processing parameters of mixed drinks made from red cabbage and roselle extracts.

In recent years, consumers' demand increases for healthier foods with nutritional benefits and similar taste to the origin. Thus, this study was conducted to evaluate the physicochemical properties and proximate composition as well as consumer preference of imitation chicken nuggets or ICNs formulated with different percentage of chickpea flour and textured vegetable protein (TVP). A commercial brand of chicken nugget was chosen as control experiment to compare its characteristics with ICNs. Five formulation of ICNs were prepared with the percentage of chickpea flour to TVP of ICNs were: A (30: 10), B (25: 15), C (20: 20), D (15: 25), and E (10: 30). Results found that all ICNs were found significantly lower (P< 0.05) in cooking loss, lightness, hardness, chewiness, springiness, cohesiveness, and water activity than in control nugget. However, all ICNs were higher (P< 0.05) in yellow colour than in control nugget. The ash, protein, and carbohydrate contents of ICNs were higher (P< 0.05) than in control nugget but were lower (P< 0.05) in moisture and fat content. However, hedonic test found that consumers preferred (P< 0.05) control nugget compared to all ICNs. The ICN E which contained percentage of chickpea flour to TVP (10: 30) was the most preferred by consumers in term of texture, taste, and overall acceptance compared to all ICNs. This findings showed that formulation of ICNs with chickpea flour with TVP could be accepted by consumers but further research should be focused on the optimised amounts of the chickpea flour in the ICNs. Thus, the sensory characteristics with these proteins and the nutritional values should be improved similar to those with chicken. (c) All Rights Reserved

BACKGROUND: This study aims to investigate the textural properties and sensory qualities of cookies made from medium- and long-chain triacylglycerol (MLCT)-enriched margarines. Margarine with formulations of MLCT : palm olein : palm stearin, 60 : 30:10 and 70 : 20:10, were selected to produce cookies. The textural properties of cookies were determined using a texture analyser. Quantitative descriptive analysis (QDA) and acceptance test were carried out to describe the attributes and to evaluate the degree of liking of cookies, respectively. RESULTS: Cookies made from MLCT-enriched margarines showed high values for hardness, fracturability, but also for cohesiveness and adhesiveness. Trained panelists rated the cookies made from MLCT-enriched margarines to be lower as compared to those made from commercial margarine for most of QDA attributes. However, cookies made from MOS 603010 and commercial margarines were scored similarly (P > 0.05) for all acceptance test attributes. Overall acceptability was found to be highly and negatively correlated for hardness, fracturability and cohesiveness (R-2 > 0.90). Principal component analysis showed that the taste attribute of cookies and the % solid fat content of margarine at 35 degrees C highly influenced the overall quality of the cookies. CONCLUSION: Cookies made from MLCT-enriched margarines were not successfully produced. However, the findings obtained provide new perspectives in the production of low-calorie bakery fat. (C) 2010 Society of Chemical Industry