• Journal of Food Hygiene and Safety
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• v.17 no.2
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• pp.55-60
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• 2002

In order to investigate the microbiological contamination of spring water, we performed the standard plate count, coliform and psychrotrophilic bacteria in 109 spring waters in Seoul. Of 109 spring waters, geometirc mean standard plate count was 0.19 CFU/ml, and the highest in Mt. Boolam, 4..43 CFU/ml and Mt. Dobong, 3.86 CFU/ml, but not detected in Mt. Woomyun and Mt. Cheonggye. Four spring waters have shown over 100 CFU/ml in standard plate count. The geometric mean psychrotrophilic bacteria was 49.2 CFU/ml, the most prevalent spring water was Mt. Nam, 125 CFU/ml, the lowest Mt. Woomyeun. Among a total of 109, coliform was detected from 21 spring waters(19.3%) and the geometric mean of coliform was 0.005 MPN/100ml. The isolated genera of coliform were 7 isolates of E. coli(33%), 5 Klebsiella(24%), 4 Enterobacter(19%), 3 Citrobacter(14%) and 2 Serratia(10%), respectively. The 22 spring waters(20.2%) failed to meet the standard limits of drinking water based on regulation in Korea. The inappropriate rate of standard plate count in spring water was 4.5%, that of coliform was 81.1% and both of them was 13.6%. There was the significant correlation between standard plate count and psychrotrophilic bacteria in spring water(r=0.95, p<0.01).

• Journal of environmental and Sanitary engineering
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• v.1 no.1 s.1
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• pp.41-46
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• 1986

This study was performed to investigate the sanitation of restaurants in Seoul Area. The subjects were 153 wet towels, 64 cold noodle soup and 190 barely tea. The results were as follows: In wet towels: The detected rate of standard plate counts was $86.9\%$ (133 samples) and average count was $1.8\times10^3/g$ $the detected rate of coliform was $37.9\%$ (58 samples) and average count by MPN method was $2.0\times10^3/100g$, the detected rate of fecal coliform was $15.7\%$ (24 samples) and average count by MPN method was $3.2\times10/100g$. In cold noodle soups: The detected rate of standard plate counts was $100\%$ (64 samples) and average count was $9.4\times10^5/ml$, the detected rate of coliform was $75\%$ (48 samples) and average count by MPN method was $6.0\times10^5/100ml$, the detected rate of fecal coliform was $51.6\%$ (33 samples) and average count by MPN method was $3.4\times10^3/100ml$. In barely tea: The detected rate of standard plate counts was $87.4\%$(166 samples) and average count was $5.8\times10^3/ml$the detected rate of coliform was $66.3\%$ (126 samples) and average count by MPN method was $3.9\times10^3/100ml$, the detected rate of fecal coliform was $32.6\%$ (62 samples) and average count was by MPN method was $4.7\times10/100ml$.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.4
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• pp.554-559
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• 2004

The objective of the present study was to investigate the accuracy of mastitis diagnostic indicators for different dairy goat breeds. Biweekly milk samples were collected from individual half mammary gland of seven Saanen and seven Alpine dairy goats in the period of 40 to 120 days in milk. With threshold value set at 2.8 and 3.1 for Alpine and Saanen dairy goats, respectively, log (SPC) offered good sensitivity (0.89, 0.93), specificity (0.88, 0.95), positive predictive value (0.75, 0.85) and negative predictive value (0.95, 0.98) as a mastitis diagnostic tool. The correlations of log (SPC) with milk yield, log (SCC), ALP, LDH, $Na^{+}$, $K^{+}$ and EC were significant in Saanen dairy goats (p<0.05), with the highest correlation coefficient (0.653) existing between log (SPC) and log (SCC). The correlations of log (SPC) with milk yield, milk fat, milk protein, log (SCC), $Na^{+}$, $K^{+}$, EC were significant in Alpine dairy goats (p<0.05), with the highest correlation coefficient (0.416) existing between log (SPC) and log (SCC). There were different best-fit regression equations with different multiple diagnostic indicators for Saanen and Alpine dairy goats. In conclusion, different breeds of dairy goats may have to adapt different mastitis diagnostic parameters for a better diagnosis.

• Korean Journal of Food Science and Technology
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• v.26 no.6
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• pp.764-769
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• 1994

This study was performed to obtain fast, consistant and reliable estimation system of bacterial counts of raw milk, which effectively related to the quality of sanitaion and the condition of production at the farm. This study compared regression equation and correlation coefficient relationship between standard plate counts and data of Malthus conductance method for the detection time of total, psychrotrophs, coliform bacterial counts in raw milk. Regression equation (RE) between conductance detection time (Y) and total bacterial log counts (X) was Y=18.27651 - 2.07550X, with correlation coefficient -0.95(n=201). In coliform, RE was Y=9.320848 - 1.15598X with correlation coefficient -0.90 (n=207). Psychrotrophs had the RE of Y=29.96008-3.02487 with correlation coeffecient -0.9 (n=201). This conductance method gave results more quickly and was less labor-intensive than traditional standard plate count method.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.39-57
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• 2004

Many dairy producers periodically receive information about their bulk tank milk with reference to bulk tank somatic cell counts, standard plate counts, and preliminary incubation counts. This information, when collected over a period of time, in combination with bulk tank mastitis culture reports can become a significant knowledge base. Several guidelines have been proposed to interpret farm bulk tank milk bacterial counts. However many of the suggested interpretive criteria lack validation, and provide little insight to the interrelationship between different groups of bacteria found in bulk tank milk. Also the linguistic terms describing bulk tank milk quality or herd management status are rather vague or fuzzy such as excellent, good or unsatisfactory. The objective of this paper was to develop a set of fuzzy descriptors to evaluate bulk tank milk quality and herd's milking practice based on bulk tank milk microbiology test results. Thus, fuzzy logic based reasoning methodologies were developed based on fuzzy inference engine. Input parameters were bulk tank somatic cell counts, standard plate counts, preliminary incubation counts, laboratory pasteurization counts, non agalactiae-Streptococci and Streptococci like organisms, and Staphylococcus aureus. Based on the input data, bulk tank milk quality was classified as excellent, good, milk cooling problem, cleaning problem, environmental mastitis, or mixed with mastitis and cleaning problems. The results from fuzzy reasoning would provide a reference regarding a good management practice for milk producers, dairy health consultants, and veterinarians.

• Proceedings of the PSK Conference
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• 2003.04a
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• pp.167.2-168
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• 2003

This study was performed to evaluate Quality of spring water in seoul. After the revision the guideline of water Quality control on July 2002, the ratio of non-passed samples of spring water increased evidently(2001, 24.5％$\rightarrow$2002, 37.5％). So Citizens of Seoul have been worried about what makes the difference between two years. To find out the major reason of that rapid increasement, the experimental results of standard plate count and psychrotrophilic bacteria in seoul were used. (omitted)

• Journal of the Korean Home Economics Association
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• v.43 no.2
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• pp.19-31
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• 2005

The purpose of this study was to evaluate the microbiological quality and assure the hygienic safety of the Bibimbap production in elementary school foodservice in accordance with the HACCP(Hazzard Analysis Critical Control Point) program. The time-temperature relationship and the microbiological quality(total plate count and coliform bacteria count) were assessed to find the critical control point(CCP) during each of the production phase. In the pre-preparation phase, the risk factors of the raw ingredients exceeded the standard level suggested by Solberg et al. Mungbean starch jelly, egg and Kochujang were satisfactory in that no coliform groups were observed over the standard TPC level. In particular, there was a high the risk of beef from the early stages in terms of the coliform level. In the pre-preparation phase, green pumpkin had more coliform groups than the standard level even after washed, which calls for special attention to washing, sterilization, secondary infection of the handler, and the required time for pre-preparation of raw vegetables. In the cooking phase, the temperature of the soybean sprout and mungbean starch jelly decreased to 42$^{\circ}C$ and 26$^{\circ}C$, respectively, which was within the risk zone. In particular, mungbean starch jelly had a great risk factor even after boiling in hot water. During the storage stage before serving, a lot of ingredients were exposed to poor management of temperature and time and thus exceeded the standard level in the total plate counts. In particular, the microbiological count of beef was five times the standard level. Green pumpkins and soybean sprouts were left at 15-38$^{\circ}C$ that is within the risk zone for a long period of time after they were cooked. It is highly recommended that the time of the storage stage before consumption should be shortened and that proper devices should be used to prevent proliferation of bacteria. The number of TPC of the utensils was satisfactory enough, but the knife used exceeded the standard level and thus was a risk factor of bacteria proliferation.

• Korean journal of food and cookery science
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• v.16 no.2
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• pp.195-201
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• 2000

An investigation was conducted to evaluate the hygienic status of university foodservice operation by using conventional swabbing technique plus standard plate count and ATP bioluminescence assay. The results of the study were as follows: 1) For all kitchen boards, knives, feeding trays, and dish towels tested, there was an overall agreement at 84.7% level between the results obtained using ATP bioluminescence and plate count when using a pass/fail cut-off of 3$\times$ control values for ATP assay and 40 CFU(colony forming unit)/㎠ for plate count. 2) The agrement rate between ATP assay and standard plate count was 87.5% for the samples before use, 29.2% for those during use, and 42.7% for those after cleaning and sanitizing. 3) The plate counts of three university foodservice operations for kitchen board, kitchen knife, feeding tray and dish towel were within the acceptable limits when tested before using. However, none of them were within the acceptable limits when tested during using and after cleaning and sanitizing. 4) Above results suggested that an immediate action needs to be taken to reduce the potential danger of cross-contamination and also effective sanitary control methods needs to be developed to improve the sanitary condition.

• Journal of Food Hygiene and Safety
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• v.12 no.4
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• pp.354-360
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• 1997

This study was intended that the biochemical patterns, bioserological characteristics, resistance of antibiotics, and transferable resistance patterns of 35 Dscherichia coli strains from 79 fish and shellfish samples in marine markets from August to October, 1995. The Standard plate count, coliforms and fecal coliforms were also counted in the 79 cases and analysed the correlationship each other. Geometric means of Standard plate count in seawater fish, shellfish, mollusca and crustacean were 1.4$\times$105 CFU/g, 4.0$\times$105 CFU/g, 2.4$\times$105 CFU/g, 4.7$\times$105 CFU/g, and those of coliforms were 1.3$\times$103 CFU/g, 4.8$\times$103 CFU/g, 8.9$\times$102 CFU/g, 5.8$\times$103 CFU/g. There were no fecal coliforms in the fish and mollusc. However, the geometric means of coliforms in the shellfish and crustacean (1.1$\times$101 CFU/100g, 10 CFU/100 g) were less than those of fish and mollusca. The important biochemical characteristics of E. coli distinguished from the shellfish and crustacean were motility, ornithine decarboxylase, mucate, esculin. The fermentative properties of E. coli were also sucrose, salicin, sorbitol, and raffinose. Of 35 isolates of E. coli, 13 strains (37.1%) showed the pathogenic O antisera, which were O:27 3 strains (23.1%), ):159 2 strains (15.4%) and ):148, O:119, O:142, O:158, O:136, O:18, O:128, and O:168 1 strain (7.7%),respectively.

• Journal of Yeungnam Medical Science
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• v.5 no.1
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• pp.69-75
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• 1988

The drinking water in the apartment is stored in reservior tank and thereafter supplied each household. In case the drinking water is stored too long or insanitary, tap water might change in quality. This study was carried out to evaluate the physico-chemical and microbiological conditions of 36 samples of tap water of apartments compared to 18 samples of tap water of independence houses in Taegu City from May to October, 1987. Main findings are summarized as follows : PH values were within normal range in all samples. Samples less than 0.2ppm in residual chlorine accounted for 16.7% in the appartment and 5.6% in the independence house. Nitrite nitrogen was detected 2.8% of apartment samples only. Among the total of 54 samples, 11.1% of the apartment and independence samples were over the normal value in standard plate count. Samples more than 1.8 of most probable number(MPN) accounted for 27.8% in the apartment and 33.3% in the independence house. In result of test for residual chlorine, nitrite nitrogen, standard plate count, and MPN, the proportion of the samples revealed inappropriated in respect of drinking water standards. In case of all sorts of tests was 2.7% in apartment and nothing in independence houses, in case of 3 sorts of tests was 2.7% in apartment and 5.6% in independence houses, in case of 2 sorts of tests was 8.3% in apartment and 5.6% in independence houses, and in case of only 1 test was 25.0% in apartment and 22.2% in independence houses. Correlation between residual chlorine and standard plate count, and between standard plate count and MPN were observed. It was found that the more years since construction of apartment were, the worse tap water was in quality.