• Title/Summary/Keyword: solution accuracy

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The Comparison of the Accuracy in Preparing Small Vancomycin Dosage : Single vs. Double Dilution Method (소용량 Vancomycin 주사액 조제방법의 차이에 의한 정확성 비교: 단일희석방법과 이중희석방법)

  • Shin, Hea Young;Suh, Ok Kyung;Lee, Suk Hyang;Shin, Hyun Taek
    • Korean Journal of Clinical Pharmacy
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    • v.7 no.2
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    • pp.86-90
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    • 1997
  • This study was to find a more accurate method fur measuring small vancomycin dosages which are commonly used in neonates by comparing single and double dilution method. For single dilution method, 500 mg of vancomycin powder was accurately measured and reconstituted with 5 ml of distilled water to make a concentration of 100 mg/ml. Volumes of 0.05, 0.1, 0.15, 0.2, 0.3, 0.4, and 0.5 ml, which equal the target dosages of 5, 10, 15, 20, 30, 40, and 50 mg, were measured using syringes made by Shina and each sample was further diluted with 2 ml of $5\%$ dextrose. The solution of 100 mg/ml concentration was further diluted with $5\%$ dextrose to make a concentration of 20 mg/ml. Volumes of 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, and 2.5 ml, which correspond to 5, 10, 15, 20, 30, 40, and 50 mg, were sampled by the same Shina's syringe as in single dilution method and then each sample was further diluted to make a total volume of 10 ml. Each sample was analyzed by HPLC. The measured dosages of each sample in both single and double dilution methods were lower than the target dosages; however, e values in double dilution method were higher than those in single dilution method for seven target dosages. Percent target dosages in single dilution method were 65 to $90\%$, while in double dilution method 91 to $94\%$. Statistically significant difference between two groups was shown in 5, 10, 15, 20, and 40 mg dosages (p<0.05). In conclusion, when preparing small vancomycin dosages lower an 20 mg $(volume{\leq}0.2\;ml)$, using Shina's syringes, the double dilution method has a closer value to the target dosage than single dilution method.

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Road Facility DB Improvement Using DGPS Camera (DGPS 카메라를 활용한 도로시설물 DB 개선)

  • Lee, Je-Jung;Lee, Jong-Sin;Kim, Min-Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.2
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    • pp.905-910
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    • 2013
  • Road facility has the high possibility of being damaged or destroyed due to continuous pass of the vehicles, overloaded vehicles, traffic accidents and so on and stormwater manhole, sewerage manhole that are installed on the road may cause the functional degradation in case of periodic pavement of the road. So management through establishing DB of road facility and efficient updating plan are required. Thus, this study used DGPS camera for efficient establishment and improvement of road facility DB. Applicability of DGPS camera could be suggested by satisfying the allowable accuracy required for establishing DB of road facility through the comparative analysis with the result of establishment of existing road facility DB and the process of DB establishment by existing total solution could be improved through process analysis. And the existing DB of road facility was improved so that the present conditions of surrounding topography and road facility can be grasped by developing the module that can add the images of road facility to digital map and Google Earth-based KML Builder. It is expected that road facility service that provides various information can be available if the spatial data of each local self-governing body and study of automation that utilizes DGPS camera images are accomplished hereafter.

A Study about Effectiveness and Usefulness of a FEM Slug Test Model (유한 요소기법을 이용한 Slug시험 모델의 타당성 및 유용성 연구)

  • 한혜정;최종근
    • Journal of the Korean Society of Groundwater Environment
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    • v.7 no.2
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    • pp.89-96
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    • 2000
  • Slug tests are the most widely used field method for quantification of hydraulic conductivity of porous media. Well recovery is affected by well casing, borehole radii, screened length, hydraulic conductivity, and specific storage of porous media. In this study, a new slug tests model was developed through finite element approximation and the validity and usefulness of the model were tested in various ways. Water level fluctuation in a well under slug test and cons-equent groundwater flow in the surrounding porous medium were appropriately coupled through estimation of well-flux using an iteration technique. Numerical accuracy of the model was verified using the Cooper et al. (1967) solution. The model has advantages in simulations for monitored slug tests, partial penetration, and inclusion of storage factor. Volume coverage of slug tests is significantly affected by storage factor. Magnitude and speed of propagation of head changes from a well increases as storage factor becomes low. It will be beneficial to use type curves of monitored head transients in the surrounding porous formation for estimation of specific storage. As the vertical component of groundwater flow is enhanced, the influence of storage factor on well recovery decreases. For a radial-vertical flow around a partially penetrated well, deviations between hydraulic estimates by various methods and data selection of recovery curve are negligible on practical purposes, whereas the deviations are somewhat significant for a radial flow.

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Analysis of the Recovery Rate of Food-borne Pathogens according to Sample Preparation Methods in Animal Origin Foods (축산식품 중 전처리 방법에 따른 식중독균 회수율 분석)

  • Kim, Jong-Hui;Kim, Hyoun Wook;Ham, Jun-Sang;Kim, Bu-Min;Oh, Mi-Hwa
    • Journal of Food Hygiene and Safety
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    • v.31 no.6
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    • pp.406-413
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    • 2016
  • This study was performed to evaluate and establish a sample preparation method for the detection of food-borne pathogens in animal origin foods. Ham, yogurt, and Korean beef inoculated with Escherichia coli O157:H7, Staphylococcus aureus, and Salmonella Typhimurium, were tested for the effects of diluent composition, processing time, and proportion of diluent to sample. The diluents used were peptone water (PW), Saline solution (SS), Butterfield's phosphate buffered dilution water (BPD), and Buffered peptone water (BPW). The processing time periods considered for the samples were 30, 60, 90, 120, and 300 sec, and the proportions of diluent to samples tested were 1:2, 1:4, 1:9, and 1:19. Yogurt and beef showed the highest number of bacteria when treated with BPW (p < 0.05). However, ham showed no significant difference between the treatments with four different diluents. Optimum proportions of diluent to ham, yogurt, and beef were 1:9, 1:2, and 1:4, respectively. The processing time of 120 sec was chosen as optimum, because it showed the best recovery rate in all sample types. In this manner, detection of food-borne bacteria with the selected optimal conditions was indicated by a recovery rate of more than 85%. These data suggest that an appropriate diluent composition and diluent volume should be used depending on the type of sample, which would thereby increase the accuracy of detecting food-borne bacteria in animal origin foods.

3D analysis of fracture zones ahead of tunnel face using seismic reflection (반사 탄성파를 이용한 터널막장 전방 파쇄대의 3차원적 예측)

  • Lee, In-Mo;Choi, Sang-Soon;Kim, Si-Tak;Kim, Chang-Ki;Jun, Jea-Sung
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.4 no.4
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    • pp.301-317
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    • 2002
  • Recently, a geophysical exploration technology is frequently utilized in the civil engineering field as well as in the resource exploration. It might be important for civil engineers to understand the fundamental theory of seismic survey and limitation of the technique when utilizing these techniques in the civil engineering field. A 3-dimensional migration technique based on the principle of ellipsoid to predict the fractured zone ahead of tunnel face utilizing the tunnel seismic survey was proposed so that the geometry of the fractured zone can be estimated, i.e. the angle between tunnel axis and discontinuity zone, and the dip. Moreover, a numerical analysis technique to simulate the TSP (Tunnel Seismic Prediction) test was proposed in this paper. Based on parametric studies, the best element size, the analysis time step, and the dynamic characteristics of pressure source were suggested to guarantee the stability and accuracy of numerical solution. Example problems on a hypothetical site showed the possibility that the 3-dimensional migration technique proposed in this paper appropriately estimate the 3D-geometry of fractures ahead of tunnel face.

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Development and Validation of an HPLC Method for the Pharmacokinetic Study of Fexofenadine in Human (테르페나딘 체내동태 연구를 위한 혈청 중 펙소페나딘의 HPLC 정량법 개발 및 검증)

  • Cho, Hye-Young;Kang, Hyun-Ah;Kim, Yoon-Gyoon;Choi, Hoo-Kyun;Lee, Yong-Bok
    • Journal of Pharmaceutical Investigation
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    • v.35 no.6
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    • pp.437-443
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    • 2005
  • A rapid, selective and sensitive reversed-phase HPLC method for the determination of a major metabolite of terfenadine, fexofenadine, in human serum was developed, validated, and applied to the pharmacokinetic study of terfenadine. Fexofenadine and internal standard, haloperidol were extracted from human serum by liquid-liquid extraction with acetonitrile and analyzed on a $Symmetry^{TM}$ C8 column with the mobile phase of 1% triethylamine phosphate (pH 3.7)-acetonitrile (67:33, v/v, adjusted to pH 5.6 with triethylamine). Detection wavelength of 230 nm for excitation, 280 nm for emission and flow rate of 1.0 mL/min were fixed for the study. The assay robustness for the changes of mobile phase pH, organic solvent content, and flow rate was confirmed by $3^{3}$ factorial design using a fixed fexofenadine concentration (50 ng/mL) with respect to its peak area and retention time. In addition, the ruggedness of this method was investigated at three different laboratories using same quality control (QC) samples. This method showed linear response over the concentration range of 10-500 ng/mL with correlation coefficients greater than 0.999. The lower limit of quantification using 0.5 mL of serum was 10 ng/mL, which was sensitive enough for the pharmacokinetic studies of terfenadine. The overall accuracy of the quality control samples ranged from 95.70 to 114.58% for fexofenadine with overall precision (% C.V.) being 3.53-14.39%. The relative mean recovery of fexofenadine for human serum was 90.17%. Stability studies (freeze-thaw, short-term, extracted serum sample and stock solution) showed that fexofenadine was stable during storage, or during the assay procedure in human serum. However, the storage at $-70^{\circ}C$ for 4 weeks showed that fexofenadine was not stable. The peak area and retention time of fexofenadine were not significantly affected by the changes of mobile phase pH, organic solvent content, and flow rate under the conditions studied. This method showed good ruggedness (within 15% C.V.) and was successfully used for the analysis of fexofenadine in human serum samples for the pharmacokinetic studies of orally administered Tafedine tablet (60 mg as terfenadine) at three different laboratories, demonstrating the suitability of the method.

Development and Validation of an HPLC Method for the Pharmacokinetic Study of Fenoprofen in Human (페노프로펜 체내동태 연구를 위한 혈청 중 페노프로펜의 HPLC 정량법 개발 및 검증)

  • Cho, Hye-Young;Kang, Hyun-Ah;Kim, Yoon-Gyoon;Sah, Hong-Kee;Lee, Yong-Bok
    • Journal of Pharmaceutical Investigation
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    • v.35 no.6
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    • pp.423-429
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    • 2005
  • A selective and sensitive reversed-phase HPLC method for the determination of fenoprofen in human serum was developed, validated, and applied to the pharmacokinetic study of fenoprofen calcium. Fenoprofen and internal standard, ketoprofen, were extracted from human serum by liquid-liquid extraction with diethyl ether and analyzed on a Luna C18(2) column with the mobile phase of acetonitrile-3 mM potassium dihydrogen phosphate (32:68, v/v, adjusted to pH 6.6 with phosphoric acid). Detection wavelength of 272 nm and flow rate of 0.25 mL/min were fixed for the study. The assay robustness for the changes of mobile phase pH, organic solvent content, and flow rate was confirmed by $3^{3}$ factorial design using a fixed fenoprofen concentration $(2\;{\mu}g/mL)$ with respect to its peak area and retention time. And also, the ruggedness of this method was investigated at three different laboratories using same quality control (QC) samples. This method showed linear response over the concentration range of $0.05-100\;{\mu}g/mL$ with correlation coefficients greater than 0.999. The lower limit of quantification using 1 mL of serum was $0.05\;{\mu}g/mL$, which was sensitive enough for pharmacokinetic studies. The overall accuracy of the quality control samples ranged from 92.27 to 109.20% for fenoprofen with overall precision (% C.V.) being 5.51-11.71 %. The relative mean recovery of fenoprofen for human serum was 81.7%. Stability (freeze-thaw, short and long-term) studies showed that fenoprofen was not stable during storage. But, extracted serum sample and stock solution were allowed to stand at ambient temperature for 12 hr prior to injection without affecting the quantification. The peak area and retention time of fenoprofen were not significantly affected by the changes of mobile phase pH, organic solvent content, and flow rate under the conditions studied. This method showed good ruggedness (within 15% C.V.) and was successfully used for the analysis of fenoprofen in human serum samples for the pharmacokinetic studies of orally administered Fenopron tablet (600 mg as fenoprofen) at three different laboratories, demonstrating the suitability of the method.

A Trend of Artificial Intelligence in the Healthcare (헬스케어산업에서의 인공지능 활용 동향)

  • Lee, Sae Bom;Song, Jaemin;Park, Arum
    • The Journal of the Korea Contents Association
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    • v.20 no.5
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    • pp.448-456
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    • 2020
  • In the era of the Fourth Industrial Revolution, how well the explosive information and data are handled and used is recognized as a problem directly related to the competitiveness of the industry. In particular, the introduction of artificial intelligence technology in the medical field can be said to have a great social impact on its use, and this research was conducted to understand the trends of artificial intelligence according to the range of use case. In this study, the application of artificial intelligence in the healthcare field is divided into four scopes, (1) hospital solutions, (2) personal health care, (3) insurance, and (4) new drug development. Based on various cases and trends in artificial intelligence technology, this study tried to give directions on how to develop artificial intelligence in Korea. In this study, we wanted to find out the use cases of artificial intelligence in various areas of healthcare industry and describe the latest issues in healthcare to help the overall medical industry. The development of artificial intelligence-based medical systems has made it easier to manage the chronic patients, increased the accuracy of cancer or disease diagnosis, and helped developing new drugs faster and more efficiently. Through this study, the medical industry we wanted to give a direction to the future development of artificial intelligence in Korea.

Development and Validation of an HPLC Method for the Pharmacokinetic Study of Pentoxifylline in Human Serum (체내동태 연구를 위한 혈청 중 펜톡시필린의 HPLC 정량법 개발 및 검증)

  • Cho, Hea-Young;Kang, Hyun-Ah;Yoo, Hee-Doo;Lee, Hwa-Jeong;Moon, Jai-Dong;Lee, Yong-Bok
    • Journal of Pharmaceutical Investigation
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    • v.36 no.2
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    • pp.89-95
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    • 2006
  • A selective and sensitive reversed-phase HPLC method for the determination of pentoxifylline in human serum was developed, validated, and applied to the pharmacokinetic study of pentoxifylline. Pentoxifylline and internal standard, chloramphenicol, were extracted from the serum by liquid-liquid extraction with dichloromethane and analyzed on a Luna CI8(2) column with the mobile phase of acetonitrile-0.034 M phosphoric acid (25:75, v/v, adjusted to pH 4.0 with 10 M NaOH). Detection wavelength of 273 nm and flow rate of 0.8 mL/min were used. This method showed linear response over the concentration range of 10-500 ng/mL with correlation coefficients greater than 0.999. The lower limit of quantification using 0.5 mL of the serum was 10 ng/mL, which was sensitive enough for pharmacokinetic studies of pentoxifylline. The overall accuracy of the quality control samples ranged from 89.3 to 92.7% for pentoxifylline with overall precision (% C.V.) being 4.1-9.2%. The relative mean recovery of pentoxifylline for human serum was 105.8%. Stability (stock solution, short and long-term) studies showed that pentoxifylline was not stable during storage. But three freeze-thaw cycles and extracted serum samples were stable. This method showed good ruggedness (within 15% C.V.) and was successfully applied for the analysis of pentoxifylline in human serum samples for the pharmacokinetic studies of orally administered $Trental^{\circledR}$ tablet (400 mg pentoxifylline), demonstrating the suitability of the method.

An introduction of new time series forecasting model for oil cargo volume (유류화물 항만물동량 예측모형 개발 연구)

  • Kim, Jung-Eun;Oh, Jin-Ho;Woo, Su-Han
    • Journal of Korea Port Economic Association
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    • v.34 no.1
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    • pp.81-98
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    • 2018
  • Port logistics is essential for Korea's economy which heavily rely on international trade. Vast amounts of capital and time are consumed for the operation and development of ports to improve their competitiveness. Therefore, it is important to forecast cargo volume in order to establish the optimum level of construction and development plan. Itemized forecasting is necessary for appropriate port planning, since disaggregate approach is able to provides more realistic solution than aggregate forecasting. We introduce a new time series model which is Two-way Seasonality Multiplied Regressive Model (TSMR) to forecast oil cargo volume, which accounts for a large portion of total cargo volume in Korea. The TSMR model is designed to take into account the characteristics of oil cargo volume which exhibits trends with short and long-term seasonality. To verify the TSMR model, existing forecasting models are also used for a comparison reason. The results shows that the TSMR excels the existing models in terms of forecasting accuracy whereas the TSMR displays weakness in short-term forecasting. In addition, it was shown that the TSMR can be applied to other cargoes that have trends with short- and long-term seasonality through testing applicability of the TSMR.