• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1031-1031
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• 2001

The mammary gland is made up of remarkably sensitive tissue, which has the capability of producing a large volume of secretion, milk, under normal or healthy conditions. When bacteria enter the gland and establish an infection (mastitis), inflammation is initiated accompanied by an influx of white cells from the blood stream, by altered secretory function, and changes in the volume and composition of secretion. Cell numbers in milk are closely associated with inflammation and udder health. These somatic cell counts (SCC) are accepted as the international standard measurement of milk quality in dairy and for mastitis diagnosis. NIR Spectra of unhomogenized composite milk samples from 14 cows (healthy and mastitic), 7days after parturition and during the next 30 days of lactation were measured. Different multivariate analysis techniques were used to diagnose the disease at very early stage and determine how the spectral properties of milk vary with its composition and animal health. PLS model for prediction of somatic cell count (SCC) based on NIR milk spectra was made. The best accuracy of determination for the 1100-2500nm range was found using smoothed absorbance data and 10 PLS factors. The standard error of prediction for independent validation set of samples was 0.382, correlation coefficient 0.854 and the variation coefficient 7.63%. It has been found that SCC determination by NIR milk spectra was indirect and based on the related changes in milk composition. From the spectral changes, we learned that when mastitis occurred, the most significant factors that simultaneously influenced milk spectra were alteration of milk proteins and changes in ionic concentration of milk. It was consistent with the results we obtained further when applied 2DCOS. Two-dimensional correlation analysis of NIR milk spectra was done to assess the changes in milk composition, which occur when somatic cell count (SCC) levels vary. The synchronous correlation map revealed that when SCC increases, protein levels increase while water and lactose levels decrease. Results from the analysis of the asynchronous plot indicated that changes in water and fat absorptions occur before other milk components. In addition, the technique was used to assess the changes in milk during a period when SCC levels do not vary appreciably. Results indicated that milk components are in equilibrium and no appreciable change in a given component was seen with respect to another. This was found in both healthy and mastitic animals. However, milk components were found to vary with SCC content regardless of the range considered. This important finding demonstrates that 2-D correlation analysis may be used to track even subtle changes in milk composition in individual cows. To find out the right threshold for SCC when used for mastitis diagnosis at cow level, classification of milk samples was performed using soft independent modeling of class analogy (SIMCA) and different spectral data pretreatment. Two levels of SCC - 200 000 cells/$m\ell$ and 300 000 cells/$m\ell$, respectively, were set up and compared as thresholds to discriminate between healthy and mastitic cows. The best detection accuracy was found with 200 000 cells/$m\ell$ as threshold for mastitis and smoothed absorbance data: - 98% of the milk samples in the calibration set and 87% of the samples in the independent test set were correctly classified. When the spectral information was studied it was found that the successful mastitis diagnosis was based on reviling the spectral changes related to the corresponding changes in milk composition. NIRS combined with different ways of spectral data ruining can provide faster and nondestructive alternative to current methods for mastitis diagnosis and a new inside into disease understanding at molecular level.

• Near Infrared Analysis
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• 제2권1호
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• pp.59-66
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• 2001

Nowadays, medical diagnostics is efficiently supported by clinical chemistry and near infrared spectroscopy is becoming a new dimension, which has shown high potential to provide valuable information for diagnosis. The investigation was carried out to study the influence of mammary gland inflammation, called mastitis, on cow´s milk spectra and milk composition measured by near infrared spectroscopy (NIRS). Milk somatic cell counts (SCC) in milk were used as a measure of mammary gland inflammation. Naturally occurred variations with milk composition within lactation and in the process of milking were included in the experimental design of this study. Time series of unhomogenized, raw milk spectral data were collected from 3 cow along morning and evening milking, for 5 consecutive months, within their second lactation. In the time of the trial, the investigated cows had periods with mammary gland inflammation. Transmittance spectra of 258 milk samples were obtained by NIRSystem 6500 spectrophotometer in 1100-2400 nm region. Calibration equations for the examined milk components were developed by PLS regression using 3 different sets of samples: samples with low somatic cell count (SCC), samples with high SCC and combined data set. The NIR calibration and prediction of individual cow´s milk fat, protein, and lactose were highly influenced by the presence of mil samples from animals with mammary gland inflammation in the data set. The best accuracy of prediction (i.e. the lower SEP and the higher correlation coefficient) for fat, protein and lactose was obtained for equations, developed when using only “healthy” samples, with low SCC. The standard error of prediction increased and correlation coefficient decreased significantly when equations for low SCC milk were used to predict examined components in “mastitis” samples with high SCC, and vice versa. Combined data set that included samples from healthy and mastitis animals could be used to build up regression models for screening. Further use of separate model for healthy samples improved milk composition measurement. Regression vectors for NIR mild protein measurement obtained for “healthy” and “mastitic” group were compared and revealed differences in 1390-1450 nm, 1500-1740 nm and 1900-2200 nm regions and thus illustrated post-secretory breakdown of milk proteins by hydrolytic enzymes that occurred with mastitis. For the first time it has been found that monitoring the spectral differences in water bands at 1440 nm and 1912 nm could provide valuable information for inflammation diagnosis.

• 약학회지
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• 제29권1호
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• pp.50-54
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• 1985

Seven different sorbents were evaluated for their adsorptivity and desorptivity of antibiotic, chloramphenicol. Among the sorbents studied, Carbopak B was found to be the most efficient in enriching the chloramphenicol from dilute aqueous solution. Interfering components in the milk matrix could be washed off by water and petroleum ether from Carbopak B column, while the chloramphenicol was retained on the surface of Carbopak B. The method of simple and efficient purification and enrichment of chloramphenicol using Carbopak B, followed by quantitative analysis employing $C_{18}$ reversed phase high performance liquid chromatography has been applied to the determination of chloramphenicol in milk.

• Journal of Dairy Science and Biotechnology
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• 제25권1호
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• pp.27-31
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• 2007

Colostrum has lots of bioactive components and many growth factors including insulin-like growth factors, transforming growth factors and epidermal growth factor. Colostrum and milk derived growth factors widely mediate the growth of overall development and could be used as treatment of gastrointestinal disorder, wound repair process, bioacrivity in the neonatal GI tract and induction of oral tolerance. It is possible that milk derived growth factors as potential neutraceuticals for the specific consumers may have a great role in future food industry.

• 한국식품과학회지
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• 제4권3호
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• pp.213-223
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• 1972

This paper chose the methods of methylesterification of the use of methoxide, the mixture solution of methanol-benzen-sulfuric acid in transesterification of the fat in cow's milk and modified powder milk and separated by gas liquid chromatography with F.F.A.P., D.E.G.A. as liquid phase. Quantitative analysis of the fatty acid of milk fat in cow's milk and modified powder milk was determined by gas liquid chromatography using the method of temperature programming which should be used to obtain satisfactory separation of short chain fatty acid on the chromatogram. It was found that the fatty acid composition of cow's milk and modified powder milk are all the major fatty acid of milk fat obtained by GLC analysis. Main components was found to be from butyric acid to arachidonic acid showing Fig. 3, 4, 5 and Table 4, 5, 6, 7, 8, 9.

• Journal of Nutrition and Health
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• 제24권2호
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• pp.77-86
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• 1991

Changes in total lipid content. total cholesterol content and fatty acid composition of human milk were investigated longitudinaly from 2-5 days to 12 weeks postpartum Milk samples were collected from 19 Korean lactating women at 2-5 days and at 1. 2. 4. 6. and 12 weeks postpartum. The obtained results were as follows : On average the daily energy intake protein intake and fat intake of Korean lactating women was 1812 kcal 72.5g and 29.8g respectively. The composition ratio of energy consis-ting of protein fat and carbohydrate was 16:15:69 The total lipid content increased from 1.39g/이 at 2-5 days to 2.86g/dl at 12 weeks ; while the total cholesterol concentration (mg/g) decreased significantly with time following postpartum. The total unsaturated fatty acids content was higher in colostrum than in mature milk. and the total saturated fatty acids were higher in mature milk. The average DHA content was 0.55% and the P/S ratio of human milk lipids was 0.37.

• 한국식품영양과학회지
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• 제28권3호
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• pp.705-709
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• 1999

To evaluate iron bioavailability in iron fortified milk, in vitro and in vivo method were used. Low molecular weight components(ILC) from milk was isolated and iron was added, then soluble iron from ILC iron complex was determined. Each iron sources and extrinsically labelled with FeCl3 was used for measuring absorption rate of iron from ILC radiolabelled iron complexes as radioiron absorption into the blood one hour after injection into ligated duodenal loops of iron deficient rats. Iron absorption rate was in the order of ferrous lactate(25.56%)$\geq$ferric citrate(24.71%)$\geq$ferrous sulfate(19.67%) when 100ppm iron was used. In separate experiments, iron fortified milks with each iron sources were gavaged into iron deficient rats. When 25ppm iron was added to milk, the order of iron absorption was ferrous sulfate(12.52%)>ferrous lactate(8.07%)>ferric citrate(6.52%) (p<0.05). When 100ppm iron was added to milk, absorption rate was decreased compared to the treatments with added 25ppm of iron. Absorption rate of ferrous sulfate(5.34%) from milk added 100ppm iron was highly lowered, but ferric citrate(6.45%) was not significantly changed. The absorption rate of ferrous lactate(5.82%) was 70% of 25ppm iron added milk.

• Journal of Dairy Science and Biotechnology
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• 제34권3호
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• pp.157-164
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• 2016

Osteoporosis is a systemic skeletal disease characterized by decreased bone mass, which results in a markedly increased risk of traumatic fractures. This disease is a worldwide health problem with a high prevalence. Recently, various dietary components have been found to minimize the risk of developing osteoporosis through their ability to stimulate bone formation and optimize bone health. Among them, probiotics and fermented milk can have beneficial effects to human health. Bioactive compounds derived from probiotics in fermented milk can especially modulate physiological functions related to bone health. Here, we review the evidence to support these insights into newly found functionality of dairy foods for osteoporosis prevention.

• 한국치위생학회지
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• 제4권1호
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• pp.31-48
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• 2004

Dental caries taking place with milk teeth affects eruption of permanent teeth adversely, and thus, it is very important to prevent dental caries from taking place with a child in maintaining his/her physical, mental and emotional health. In this study as conducted to obtain basic data to be required for development of a program for letting preschool children form a habitual life for oral health and right dietary life, a total 172 children aged 5 years and 6 years were selected from children who lived in Hwasung-si, Kyunggi-do and attended preschools (childrens houses) located there with the consent of their guardians. Then, the weight length index (WLI) and blood components of each child were analyzed, and each relation between the weight length index (WLI) and dental caries of milk teeth and between blood components and dental caries of milk teeth was comparatively examined, and thereby, the following results were obtained. When the dmf rate of each group according to the obesity was examined, it was found to be 87.50% in the under-weight group, 71.20% in the normal weight group and 83.87% in the overweight group. And when the dmft rate of each group was examined, it was found to be 48.43% in the under-weight group, 37.10% in the normal weight group and 47.17% in the overweight group. Also, when the dmft index of each group was examined, it was found to be 3.9 in the under-weight group, 3.0 in the normal weight group and 3.8 in the overweight group. That is to say, the under-weight group and the overweight group having an abnormal weight were found to be higher in all of the dmf rate, the dmft rate and the dmft index than the normal weight group. It could be, therefore, known that normal weight should be maintained in order to prevent dental caries of milk teeth. And, it is thought that a right dietary life habit ensuring intake of balanced nutrients should be formed for maintenance of a normal weight. As a result of examining the relation between nutrient components in blood and dental caries of milk teeth, in the case of children with no dental caries, inorganic nutrient components of blood had a tendency to be a little higher, but no statistical significance was observed therein. Meanwhile, it was found that there was a relation between blood type and the dmft index.

• 농업과학연구
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• 제48권2호
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• pp.209-218
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• 2021

This study was carried out to investigate the effects of Bifidobacteria growth promoter BE0623 and a dietary fiber supplement, which included Bifidobacterium lactis BB12, Lactobacillus acidophilus, Streptococcus thermophilus, and Bifidobacterium lactis. In fermented milk containing BE0623, the viable cell count of Bifidobacteria significantly increased by about 45 to 75 times compared to the control, and the titratable acidity increased, whereas the pH decreased. All fractions obtained by isolating BE0623 had Bifidobacteria growth effect. Acacia dietary fiber is a pale yellow powder. It has a viscosity of 60 to 100 cPs and a pH between 4.1 and 5.0. Its general components are less than 10% moisture, more than 90% dietary fiber, and less than 4% ash. The optimal addition ratio of Bifidobacteria growth promoting material was determined to be 0.05%. The general components of the manufactured fermented milk were carbohydrate 17.85%, protein 3.63%, fat 3.00%, and dietary fiber 2.95%. During storage of the fermented milk for 24 days, its titratable acidity, viscosity, and sugar content all met the criteria. In addition, the viable cell counts of Bifidobacteria and lactic acid bacteria in the fermented milk were 1.7 × 10⁸ CFU·mL^-1 and 1.5 × 10⁷ CFU·mL^-1, respectively, and Escherichia coli was negative. There was no significant difference between the control group and the treatment group in the sensory evaluation of sweet, sour, weight, and flavor, and the preference for the treatment group was excellent. The acceptability of the fermented milk of the treated group according to the storage period was excellent in terms of color, flavor, and appearance.