• 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.

• Animal Bioscience
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• v.34 no.2
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• pp.213-222
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• 2021

Objective: The metabolites that constitute the rumen fluid and milk in dairy cattle were analyzed using proton nuclear magnetic resonance (1H-NMR) spectroscopy and compared with the results obtain for other dairy cattle herds worldwide. The aim was to provide basic dataset for facilitating research on metabolites in rumen fluid and milk. Methods: Six dairy cattle were used in this study. Rumen fluid was collected using a stomach tube, and milk was collected using a pipeline milking system. The metabolites were determined by 1H-NMR spectroscopy, and the obtained data were statistically analyzed by principal component analysis, partial least squares discriminant analysis, variable importance in projection scores, and metabolic pathway data using Metaboanalyst 4.0. Results: The total numbers of metabolites in rumen fluid and milk were measured to be 186 and 184, and quantified as 72 and 109, respectively. Organic acid and carbohydrate metabolites exhibited the highest concentrations in rumen fluid and milk, respectively. Some metabolites that have been associated with metabolic diseases (acidosis and ketosis) in cows were identified in rumen fluid, and metabolites associated with ketosis, somatic cell production, and coagulation properties were identified in milk. Conclusion: The metabolites measured in rumen fluid and milk could potentially be used to detect metabolic diseases and evaluate milk quality. The results could also be useful for metabolomic research on the biofluids of ruminants in Korea, while facilitating their metabolic research.

• Korean Journal of Food Science and Technology
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• v.50 no.1
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• pp.92-97
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• 2018

The antioxidant activities and quality characteristics of Matcha (powdered green tea) spreads containing coconut milk were evaluated. Matcha spreads containing coconut milk was prepared with different amounts (0, 4, 8, 12, and 16 g) of Matcha, and indicated as S1, S2, S3, S4 and S5, respectively. The moisture content, viscosity, color, pH and sugar content were influenced by the concentration of Matcha. Total phenolic content and total flavonoid content of Matcha were found to be 226 mg GAE/g and 809.42 mg QE/g respectively. Also, 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radical scavenging activity and reducing power of Matcha was found to be $5.76{\mu}g/mL$ ($IC_{50}$) and 2.26 O.D., respectively. The antioxidant activities of the Matcha spreads containing coconut milk increased with increasing concentration of Matcha. Sensory evaluation indicated that S3 (8 g) was the most preferred in terms of color, taste, texture, and overall acceptance. Based on these results, it is suggested that S3 (8 g) was appropriate for achieving good quality coconut milk based spread containing Matcha.

• The Korean Journal of Food And Nutrition
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• v.24 no.2
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• pp.191-203
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• 2011

We conducted a study to investigate milk and dairy products consumption among elementary school students to identify ways to increase their intake of milk and dairy products. We asked 518 students in Seoul to fill out questionnaire. Only 55.6% of the subjects consumed milk daily, and 43.7% of them drank at least 1 cup per day. The frequency and quantity of milk consumption were higher in male students than female students. The majority of the subjects consumed whole milk, and most students(59.5%) preferred flavored milk to whole milk. The reasons given for drinking milk included 'wanting to be tall'(66.1%) and 'for good health'(47.1%), while the main reason given for not drinking milk was stomach pain (68.4%). Records of having an unpleasant experience and upset stomach after drinking milk occurred at a higher rate for those who did not drink milk(84.2%) than for those who did(53.3%). Of the students questioned, 36.9% consumed dairy products other than milk 3~4 times per week, and liquid-type yoghurt(43.8%) and ice cream(35.4%) were the preferred dairy products among students. The reasons given for consuming dairy products were 'good taste'(56.6%), 'good to eat'(46.6%), 'wanting to be tall'(32.4%), and 'for good health' (25.4%). Among those students who did not consumed dairy products, the major reason given was 'family does not eat at home'(33.3%). After consuming the dairy products, 71.4% of participants thought that dairy products did not result in physical improvement. Most students had experienced purchasing milk and dairy products by themselves. When they bought milk or dairy products, the reasons given for making a particular selection were 'shelf-life'(61.6%) for milk, and 'favorite dairy products'(54.1%) for dairy products. According to participants, the factors that need to be considered for milk and dairy product consumption among elementary school students are 'higher nutrition' (60.8%), 'better sanitation'(57.3%), and 'better quality and taste'(55.2%).

• Journal of Dairy Science and Biotechnology
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• v.26 no.1
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• pp.11-19
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• 2008

Milk from dairy cows has long provided a high quality source of protein and selected micronutrients as calcuim to most populations. Recently, a relationship between disease risk and consumption of specific bovine ${\beta}$-casein fraction either A1 or A2 genetic variants has identified. Populations, which consume milk contain high containing high levels of ${\beta}$-casein A2 variants, have a lower incidence of cardiovascular disease and type 1 diabetes. Furthermore, consumption of milk with the A2 variants may be associated with less severe symptoms of autism and schizophrenia. The mechanism of action focuses on ${\beta}$-casein A1 and related forms preferentially that are able to produce a bioactive opioid peptide, ${\beta}$-casomorphin-7(${\beta}$-CM-7) during digestion. Infants may absorb ${\beta}$-CM-7 due to an immature gastrointestinal tract. Adult, on the other hand, appear to reap the biological activity locally on the intestinal brush boarder. ${\beta}$-CM-7 can potentially affect numerous opioid receptors in the nervous, endocrine, and immune system. Whether there is a definite health benefit to milk containing the A2 genetic variant is unknown and requires further investigation.

• Journal of the Korean Society of Food Science and Nutrition
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• v.23 no.5
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• pp.837-844
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• 1994

In order to making the good quality soybean cheese, it is prepared byover growing cow's milk added soybean curd with Actinomucor elegans and the nold-overgrown curd soked in salt-brine/ethanol mixture. The physicochemical changes and sensory evaluation were investigated during the aging period. Crude protein, carbohydrate, crude fat ash contents of the pehtze were increased by elapsing the fermentation time, whereas moisture's decreased . Amino-N and ammonia -N contents of cow's milk added pehtze and soybean phetze were increased 17.25%, 7.23% and 16.16%, 8.42% respectively. Total nitrogen content of the pehtze was decreased by elaping the aging time but soaking solution's increased. Free amino acid content of soybean cheese was increased as a result of the proteolytic action of molds. As a result, sulfur containing amino acid such as methionine and cysteine of the cow's milk added soybean cheese were enriched 1.3 times more than the soybean cheese. Flavor, taste and texture of the cow's milk added soybean cheese were higher than soybean cheese.

• Journal of Dairy Science and Biotechnology
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• v.29 no.1
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• pp.59-63
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• 2011

This study was carried out to investigate the change of components which raw milk has during cold storage. General component content of raw milk (fat, protein, lactose, total solids) was decreased in proportion to the length of cold storage. The pH of raw milk was decreased in according to the length of cold storage. In electrophoresis images, ${\beta}$-casein which was one of the composition of raw milk was decreased as the period of cold storage extended on the other hand, the content of Ca and P in the serum casein was increased in accordance with the length of cold storage.

• Food Science of Animal Resources
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• v.31 no.6
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• pp.879-885
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• 2011

This study was to identify and quantify the flavor compounds in cream cheese and cholesterol-removed cream cheese made from whole milk powder stored at $7^{\circ}C$ for 4 wk. Flavor compounds of cream cheese were identified using gas chromatography mass spectroscopy and quantified by gas chromatography. The tentatively identified flavor compounds were mainly eight from fatty acids in cream cheese made from whole milk powder (CCWMP) and nine from fatty acids in cholesterol-removed cream cheese made from whole milk powder (CRCCWMP). In quantitative analysis of the flavor compounds, most of the volatile compounds were slightly increased during storage. N-Decanoic acid was produced only in CCWMP. On the basis of the results, it was concluded that the quality and quantity of flavor compounds in CCWMP and CRCCWMP have almost no adverse effects in comparison with that of whole milk-made cream cheese.

• Food Science of Animal Resources
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• v.44 no.2
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• pp.255-268
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• 2024

Probiotic products have long been recognized for their health benefits. Additionally, milk has held a longstanding reputation as a dairy product that offers high-quality proteins and essential micronutrients. As awareness of the impact of food on health grows, interest in functional products such as probiotic dairy products is on the rise. Fermentation, a time-honored technique used to enhance nutritional value and food preservation, has been used for centuries to increase nutritional value and is one of the oldest food processing methods. Historically, fermented dairy products have been used as convenient vehicle for the consumption of probiotics. However, addressing the potential drawbacks of fermentation has recently led to increase in research on probiotic dairy drinks prepared without fermentation. These non-fermented dairy drinks have the advantage of maintaining the original flavors of milk drinks, containing potential health functional probiotics, and being an alternative dairy product that is helpful for probiotics intake. Currently, research on plant-based dairy products is rapidly increasing in the market. These developments might suggest the potential for novel forms of non-fermented dairy beverages with substantial prospects in the food market. This review aims to provide an overview of milk-based dairy beverages, both fermented and non-fermented, and discuss the potential of non-fermented dairy products. This exploration paves the way for innovative approaches to deliver probiotics and nutrition to consumers.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1247-1247
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• 2001

Constituents of animal biofluids such as milk, blood and urine contain information specifically related to metabolic and health status of the ruminant animals. Some changes in composition of biofluids can be attributed to disease response of the animals. Mastitis is a major problem for the global dairy industry and causes substantial economic losses from decreasing milk production and reducing milk quality. The purpose of this study was to investigate potential of NIRS combined with multivariate analysis for cow's mastitis diagnosis based on NIR spectra of milk, blood and urine. A total of 112 bulk milk, urine and blood samples from 4 Holstein cows were analyzed. The milk samples were collected from morning milking. The urine samples were collected before morning milking and stored at -35$^{\circ}C$ until spectral analysis. The blood samples were collected before morning milking using a catheter inserted into the carotid vein. Heparin was added to blood samples to prevent coagulation. All milk samples were analyzed for somatic cell count (SCC). The SCC content in milk was used as indicator of mastitis and as quantitative parameter for respective urine and blood samples collected at same time. NIR spectra of blood and milk samples were obtained by InfraAlyzer 500 spectrophotometer, using a transflectance mode. NIR spectra of urine samples were obtained by NIR System 6500 spectrophotometer, using 1 mm sample thickness. All samples were divided into calibration set and test set. Class variable was assigned for each sample as follow: healthy (class 1) and mastitic (class 2), based on milk SCC content. SIMCA was implemented to create models of the respective classes based on NIR spectra of milk, blood or urine. For the calibration set of samples, SIMCA models (model for samples from healthy cows and model for samples from mastitic cows), correctly classified from 97.33 to 98.67% of milk samples, from 97.33 to 98.61% of urine samples and from 96.00 to 94.67% of blood samples. From samples in the test set, the percent of correctly classified samples varied from 70.27 to 89.19, depending mainly on spectral data pretreatment. The best results for all data sets were obtained when first derivative spectral data pretreatment was used. The incorrect classified samples were 5 from milk samples,5 and 4 from urine and blood samples, respectively. The analysis of changes in the loading of first PC factor for group of samples from healthy cows and group of samples from mastitic cows showed, that separation between classes was indirect and based on influence of mastitis on the milk, blood and urine components. Results from the present investigation showed that the changes that occur when a cow gets mastitis influence her milk, urine and blood spectra in a specific way. SIMCA allowed extraction of available spectral information from the milk, urine and blood spectra connected with mastitis. The obtained results could be used for development of a new method for mastitis detection.