• Food Science and Biotechnology
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• v.15 no.2
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• pp.196-201
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• 2006

Freeze concentration of milk was carried out thorough the controlled recrystallization of ice in a multi-stage freeze concentrator. Artificial temperature control was used to induce ice recrystallization via a heat and cold shock process. In each stage of freeze concentration, the recrystallization time was fixed at 1, 2, 4, and 8 hr to compare the solute concentrate, yield, Brix, ice crystal size, and freezing point at each experimental condition. Higher concentrations of milk solids were seen with increased durations of recrystallization time, and a maximum total solids in the final product of 32.7% was obtained with a ripening time of 8 hr in a second stage process. Milk solid yield decreased according to the solute concentration and recrystallization time. The results of Brix and ice crystal size showed a positive correlation with recrystallizaiton time. These results suggest the possibility of freeze concentration being of practical use in the dairy industry.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.4
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• pp.528-530
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• 2002

The study was designed to evaluate the seasonal influences on cross-bred cow milk composition and paneer yield in Dhauladhar mountain range of sub-himalayan region. Fifty samples from each season were collected from a herd of $Jersey{\times}Red\;Sindhi{\times}Local$ cross-bred cows during summer (April-June), rainy (July-September) and winter (November-February) and analyzed for fat, total solids (TS) and solids not fat (SNF). Paneer was prepared by curdling milk at $85{\pm}2^{\circ}C$ with 2.5 per cent citric acid solution. Overall mean for fat, TS and SNF content of milk and paneer yield were 4.528, 13.310, 8.754 and 15.218 per cent respectively. SNF and TS content varied among seasons being highest in winter (8.983% and 13.639%) followed by summer (8.835% and 13.403%) and lowest in rainy season (8.444% and 12.888%). Paneer yield was lowest (14.792%) in rainy season and highest (15.501%) in winter season.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.7
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• pp.1019-1025
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• 2004

The experiment was conducted to investigate the feasibility of using vegetable oil and non-fat dry milk (powdered milk) with skim milk for the preparation of dahi. In this experiment, six different types of dahi were prepared from whole milk, skim milk and admixture of non-fat dry milk with different levels of vegetable oil. The prepared dahi samples were subjected to physical, chemical and microbiological analysis to evaluate their quality. It was observed that the addition of non-fat dry milk and vegetable oil with skim milk improve the physical qualities (smell and taste, body and consistency, color and texture) of prepared dahi samples. Addition of non-fat dry milk and vegetable oil also improve the total solids, fat and protein content of dahi samples. It is concluded that the addition of vegetable oil at a rate of 4 to 6% together with 5% non-fat dry milk gave the best result.

• Journal of Animal Science and Technology
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• v.51 no.6
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• pp.537-542
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• 2009

For a period of over 6 years, more than 160,000 milk samples were collected and analyzed to determine the influence of different seasonal temperatures and geographic regional location on milk composition in South Korea. Fat, protein, lactose, non fat milk solids (NFMS) and total solids (TS) contents were significantly higher among dairy cows milked in winter season than other seasons (p<0.05). In contrast, freezing point (FP), milk urea nitrogen (MUN) and somatic cell count (SCC) were significantly higher in summer season than other seasons (p<0.05). The average SCC in the autumn season was $358{\times}10^3$/ml, which was lower than any other seasons (p<0.05). These results may be due to the changes in temperature during different seasons. Meanwhile, milk produced by dairy cows in central region had higher fat, protein, lactose, NFMS, TS and MUN and had lower SCC compared to other regions (p<0.05). Fat, TS, FP, MUN and citric acid in northeast region were lower than other regions (p<0.05). The SCC was significantly higher in southeast region than those of other regions (p<0.05). As a result, it might be possible that the differences in feeding management in each different region may affect the milk composition. In conclusion, present results indicated that milk composition is clearly influenced by both season and regional location. Therefore, based on these results, development of different feeding systems, according to season and region is needed to produce high quality and satiable milk production.

• Journal of Dairy Science and Biotechnology
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• v.19 no.1
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• pp.13-21
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• 2001

Milk can be regarded as a complete food, containing protein, fat, lactose, vitamins and minerals. Milk is heated for a variety of reasons. The main reasons are: to remove pathogenic organisms; to increase shelf-life. But, when milk is heated, many changes take place: denaturation of whey proteins and interaction with casein, Maillard browning, losses of vitamin and minerals. The addition of a additive and milk powder to flavor and taste may cause undesirable change of quality during heating milk. The reconstituted milk is the milk product resulting from the addition of water to the dried or condensed form in the amount necessary to re-establish the specified water solids ratio. Therefore, according to the increasement of consumption of processed milk, the necessity for study about the quality of processed milk mixed with reconstituted milk arose.

• Preventive Nutrition and Food Science
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• v.6 no.3
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• pp.197-199
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• 2001

The effects of cooking peanut kernels before grinding on the n-hexanal content of peanut milk was investigated. Analysis of headspace volatiles revealed that n-hexanal was greatly reduced by cooking peanut kernels before grinding. Total solids and protein content tended to decrease as cooking time was increased. The most satisfactory condition of cooking peanut kernels for preparing peanut milk was 10 min.

• Asian-Australasian Journal of Animal Sciences
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• v.15 no.3
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• pp.352-356
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• 2002

One hundred-fifty lactating, multiparous cow at post-peak of lactation were used to examine the effect of dietary yeast supplementation on milk production, milk composition and ruminal fermentation. The cows were randomly allocated to three groups of fifty cows each: a control group fed on a basal diet without yeast supplementation and two groups fed on basal diets supplemented with one of two commercial sources of yeast cultures, given at the rates of 15 g/head/d ($YC_1$) and 50 g/head/d ($YC_2$), respectively, as per manufacturers' recommendation. Daily milk production was recorded for all cows, while milk samples were taken randomly from ten cows per group for two consecutive days at two-week intervals for chemical analysis of the milk. Rumen fluids were also analyzed for ammonia nitrogen and volatile fatty acids. The results indicated that cows consuming diets supplemented with yeast culture tended to decrease their dry matter intake and to increase their milk yield. Cows fed $YC_2$ supplemented diet produced more milk and 4% fat corrected milk than those fed either $YC_1$-supplemented diet or the control. The highest milk fat percentage was obtained in cows fed $YC_2$ supplemented diet while the highest percentages of protein, lactose, total solids and solids not fat were recorded in cows fed $YC_1$. Rumen ammonia nitrogen concentration decreased significantly after yeast culture supplementation. Molar proportion of volatile fatty acids did not change significantly with yeast supplementation.

• Asian-Australasian Journal of Animal Sciences
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• v.3 no.4
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• pp.293-298
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• 1990

Pathogen infections or mastitis inflammations usually develop differently on each udder of lactating cow. Although healthy udders will be attacked by the mastitis pathogens or the pathogens from blood in a long term, they would not be always inflamed. Somatic cell counts (SCC) in milk, which is utilized as an index of mastitis diagnosis, and the relation among SCC and milk constituents will have to be examined on each udder individually. Twelve cows of a Holstein cow herd in Nasu Research Station, which were suffering clinical or non-clinical mastitis, were selected, and SCC and milk constituents on each udder milk were measured. The effects of mastitis infection on udder milk components were relatively small except lactose content on udder milks of non-clinical mastitis (SCC< $10.0{\times}10^5$ per ml milk). On udder milks of clinical mastitis, however, high negative correlations were recognized between SCC and milk components. On different sampling days, high contents of fat and protein corresponded to that of total solids.

• Journal of Nutrition and Health
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• v.29 no.5
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• pp.517-527
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• 1996

The food consumption of 148 healthy infants from 4 to 6 months of age have been measured. Three groups were assigned to change of feeding pattern. Formula group(FF, n=102) were fed formula from birth till 6 months of age. Convert 1 group (C1F, n=14) and Convert 2 group (C2F, n=32) were fed breast milk and mixed milk at 2months of age afterthat switched to formula milk, respectively. All infants received solids (solid foods) from 4 months of age. No significant difference was found in the intake of nutrients among three feeding groups excluding carbohydrate intake of C1F-female at 4 months of age. No significant difference was found in the intake of nutrients among three feeding groups excluding carbohydrate intake of C1F-female at 4 months of age. The FF-female(70.9g/d) and C2F-female(66.9g/d) had significantly higher carbohydrate intake when compared to the C1F-female (54.3g/d). The average total energy intake at 4, 6 months were 648.3 and 709.7kcal/d among all infants. At 4 and 6 months of age, mean intake of nutrients was as follows. Calcium intake was 526.7mg/d and 760.0mg/d at 4 and 6 months of age respectively. Iron intake was 8.3mg/d and 10/5mg/d at 4 and 6 months of age respectively. Calories from solids provided 22.5% of total energy intake at 4 months of age, and nearly 32% at 6 months of age. The average energy and protein intakes of all infants were less than the RDA for calcium and iron at 4, 6 months of age.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1513-1513
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• 2001

Present Food Legislation compels dairy industry to carry out analyses in order to guarantee the food safety and quality of products. Furthermore, in many cases industry pays milk according to bacteriological or/and nutritional quality. In order to do these analyses, several expensive instruments are needed (Milkoscan, Fossomatic, Bactoscan). NIRS technology Provides a unique instrument to deal with all analytical requirements. It offers as main advantages its speed and, specially, its versatility, since not only allows determine all the parameters required in milk analysis, but also allows analyse other dairy products, like cheese or whey. The objective of this study is to develop NIRS calibration equations to predict several quality parameters in goat milk, cheese and whey. Three sets of 123 milk samples, 190 cheese samples and 109 whey samples, have been analysed in a FOSS NIR Systems 6500 I spectrophotometer equipped with a spinning module. Milk and whey were analysed by folded transmission, using circular cells with gold surface and pathlength of 0.1 m, while intact cheese was analysed by reflectance using standard circular cells. NIRS calibrations were obtained for the prediction of chemical composition in goat milk, for fat (r$^2$=0.92; SECV=0.20%), total solids (r$^2$=0.95: SECV=0.22%), protein (r$^2$=0.94; SECV=0.07%), casein (r$^2$=0.93; SECV=0.07%) and lactose (r$^2$=0.89; SECV=0.05%). Moreover, equations have been performed to determine somatic cells (r$^2$=0.81; SECV=276.89%) and total bacteria (r$^2$=0.58; SECV=499.32%) counts in goat milk. In the case of cheese, calibrations were obtained for the prediction of fat (r$^2$=0.92; SECV=0.57), total solids (r$^2$=0.80; SECV=0.92%) and protein (r$^2$=0.70; SECV=0.63%). In whey, fat (r$^2$=0.66; SECV=0.08%), total solids (r$^2$=0.67; SECV=0.19%) and protein (r$^2$=0.76; SECV=0.07%) NIRS equations were obtained. These results proved the viability of NIRS technology to predict chemical and microbiological parameters and somatic cells count in goat milk, as well as chemical composition of goat cheese and whey.