• 한국물환경학회지
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• 제29권3호
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• pp.409-419
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• 2013

In this study, the analytical method for 27 residual pharmaceuticals in raw water was developed. Online sample preconcentration/extraction and analysis with high resolution Orbitrap mass spectrometry (LC-ESI/Orbitrap MS) were performed. The calibration curves showed good linearities (above $r^2$ = 0.998) in the range of 5 ~ 1,000 ng/L. The method detection limit and the limit of quantification were 1.1 ~ 10.0 ng/L and 3.4 ~ 31.7 ng/L, respectively. Recoveries of the target compounds were between 70.1% and 115.8% (except cefadroxil, cefradine, vancomycin, and iopromide (50.2 ~ 67.0%)). The optimized analytical method can be useful to determine the residual pharmaceuticals in raw water.

• 한국미생물학회:학술대회논문집
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• 한국미생물학회 2008년도 International Meeting of the Microbiological Society of Korea
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• pp.169-169
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• 2008

• Biotechnology and Bioprocess Engineering:BBE
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• 제7권5호
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• pp.275-280
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• 2002

In order to control glucose concentration during fed-batch culture for antibiotic production, we applied so called “software sensor” which estimates unmeasured variable of interest from measured process variables using software. All data for analysis were collected from industrial scale cultures in a pharmaceutical company. First, we constructed an estimation model for glucose feed rate to keep glucose concentration at target value. In actual fed-batch culture, glucose concentration was kept at relatively high and measured once a day, and the glucose feed rate until the next measurement time was determined by an expert worker based on the actual consumption rate. Fuzzy neural network (FNN) was applied to construct the estimation model. From the simulation results using this model, the average error for glucose concentration was 0.88 g/L. The FNN model was also applied for a special culture to keep glucose concentration at low level. Selecting the optimal input variables, it was possible to simulate the culture with a low glucose concentration from the data sets of relatively high glucose concentration. Next, a simulation model to estimate time course of glucose concentration during one day was constructed using the on-line measurable process variables, since glucose concentration was only measured off-line once a day. Here, the recursive fuzzy neural network (RFNN) was applied for the simulation model. As the result of the simulation, average error of RFNN model was 0.91 g/L and this model was found to be useful to supervise the fed-batch culture.

• 분석과학
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• 제23권6호
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• pp.572-578
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• 2010

본 연구에서는 하천수 중 6종의 의약물질(cephradine, cefadroxil, penicillin G, vancomycin, iopromide, and fenbendazole)에 대한 전처리법과 분석 방법을 확립하였다. 하천수 중의 분석물질을 HLB(Hydrophilic-Lipophilic Balanced) 카트리지를 사용하여 추출/정제 및 농축하였다. HPLC/ESI-MS/MS를 이용하여 6종의 물질들을 동시에 분석하였다. Fenbendazole을 제외한 의약물질은 71.1~92.6% 범위의 양호한 회수율을 나타내었고, 상대표준편차는 11.2% 이하로 나타났다. 정량분석을 위해서 0.007~1.2 ng/mL 범위에서 $r^2$=0.99 이상의 높은 직선성을 나타내는 검량선을 얻었다. 검출한계(LOD)와 정량한계(LOQ)는 각각 7.2~128.7 pg/mL, 23.8~429.1 pg/mL로 나타났다. 이 분석 방법은 하천수 중 의약품에 대한 모니터링에 유용하며, 하천수 중 iopromide과 fenbendazole은 높은 농도로 검출되었다.

• 상하수도학회지
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• 제33권5호
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• pp.367-377
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• 2019

In this study, the fate and removal of 15 pharmaceuticals (including stimulants, non-steroidal anti-inflammatory drugs, antibiotics, etc.) in unit processes of a sewage treatment plant (STP) were investigated. Mass loads of pharmaceuticals were 2,598 g/d in the influent, 2,745 g/d in the primary effluent, 143 g/d in the secondary effluent, and 134 g/d in the effluent. The mass loads were reduced by 95% in the biological treatment process, but total phosphorous treatment did not show a significant effect on the removal of most pharmaceuticals. Also, mass balance analysis was performed to evaluate removal characteristics of pharmaceuticals in the biological treatment process. Acetaminophen, caffeine, acetylsalicylic acid, cefradine, and naproxen were efficiently removed in the biological treatment process mainly due to biodegradation. Removal efficiencies of gemfibrozil, ofloxacin, and ciprofloxacin were not high, but their removal was related to sorption onto sludge. This study provides useful information on understanding removal characteristics of pharmaceuticals in unit processes in the STP.

• Ocean and Polar Research
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• 제44권1호
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• pp.29-38
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• 2022

Halophytes are plants that live in harsh environments in coastal regions and are known for their diverse chemical compositions. Limonium tetragonum, a halophyte endemic to Korean shores, is known for its bioactive compounds and is utilized in folk medicine. In this study L. tetragonum extract (LHE) was used to determine and evaluate its anti-osteoporotic properties. Pre-adipocyte and pre-osteoblasts were induced to differentiate along with LHE treatment, and their differentiation was evaluated using differentiation markers. LHE treatment decreased lipid accumulation in 3T3-L1 preadipocytes during adipogenesis. Results indicated that the LHE treatment also decreased the levels of key adipogenic transcription factors: PPARγ, SREBP1c, and C/EBPα. Enhancing osteoblastogenesis by LHE treatment was confirmed in osteoblastogenesis-induced MC3T3-E1 pre-osteoblasts. Cells treated with LHE resulted in increased calcification and alkaline phosphatase (ALP) activity compared with osteoblasts without LHE treatment. Pro-osteogenic and anti-adipogenic effects were also confirmed in D1 murine mesenchymal stromal cells which are capable of differentiation into both adipocytes and osteoblasts. LHE hindered adipogenesis and enhanced osteoblastogenesis in D1 MSCs in a similar fashion. In conclusion, L. tetragonum is believed to possess the potential to be utilized as a nutraceutical ingredient against osteoporotic conditions.

• 대한방사성의약품학회지
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• 제9권1호
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• pp.3-8
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• 2023

Parkinson's disease is a neurodegenerative disease caused by damage to brain neurons related to dopamine. Non-clinical animal models mainly used in Parkinson's disease research include drug-induced models of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine and 6-hydroxydopamine, and genetically modified transgenic animal models. Parkinson's diagnosis can be made using brain imaging of the substantia nigra-striatal dopamine system and using a radiotracer that specifically binds to the dopamine transporter. In this study, ¹⁸F-N-(3-fluoropropyl)-2β-carboxymethoxy-3β-(4-iodophenyl) nortropane was used to confirm the image evaluation cutoff between normal and parkinson's disease models, and to confirm model persistence over time. In addition, the efficacy of single or combined administration of clinically used therapeutic drugs in parkinson's animal models was evaluated. Image analysis was performed using the PMOD software. Converted to standardized uptake value, and analyzed by standardized uptake value ratio by dividing the average value of left striatum by the average value of right striatum obtained by applying positron emission tomography images to the atlas magnetic resonance template. The image cutoff of the normal and the parkinson's disease model was calculated as SUVR=0.829, and it was confirmed that it was maintained during the test period. In the three-drug combination administration group, the right and left striatum showed a high symmetry of more than 0.942 on average and recovered significantly. Images using ¹⁸F-N-(3-fluoropropyl)-2β-carboxymethoxy-3β-(4-iodophenyl) nortropane are thought to be able to diagnose and evaluate treatment efficacy of non-clinical Parkinson's disease.

• 약학회지
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• 제55권4호
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• pp.345-351
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• 2011

Gastritis is the most common disease among Korean. The demand for the development of gastritis drugs has been increasing. Currently, however, there is no guideline available for the clinical evaluation of gastritis drugs worldwide. As a consequence, domestic and international pharmaceutical companies make errors in the drug development processes, and it becomes difficult for them to establish the scientific validity and objectivity of newly developed drugs. The objective of this study was to develop the Guideline for Clinical Trials Evaluation of Gastritis which can be used in improving the quality and consistency of clinical trials. First, we collected and reviewed the clinical trials on gastritis drugs that were available from Japan Pharmaceuticals and Medical Devices Agency and Korea Food and Drug Administration (KFDA), and investigated the recent research trends on clinical trials of gastritis drugs. Reviewers from KFDA and National Institute of Food and Drug Safety Evaluation and scientific experts from the pharmaceutical industries developed the guidelines through regularly scheduled meetings. Opinions and consultation from academic fields and industry experts were also obtained. This project will provide the clinical trial practitioners, investigator and reviewers the scientific and rational guidelines for performance and evaluation of clinical trials for gastritis drugs. Furthermore, we hope this guideline contributes to establishing the national competitiveness, improving the quality of clinical trial, and encouraging researches on drug development for gastritis.

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVI)
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• pp.200-200
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• 2005

• 한국환경보건학회지
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• 제42권1호
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• pp.53-60
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• 2016

Objectives: Preservatives are commonly used in pharmaceuticals, cosmetics and other products to extend the expiration date and prevent the growth of microorganisms. Preservatives are generally effective in controlling mold and inhibiting yeast growth, and against a wide range of bacterial attacks as well. They also adversely affect the quality of sperm and cause precocious puberty in children. This study was performed to analyze seven preservatives used in pharmaceuticals and personal care products. Methods: Five kinds of pharmaceuticals and personal care products (PPCPs) were examined for analysis with a high performance liquid chromatography-diode array detector. Each sample was homogenized and the targeted compounds were extracted with methanol. The suspended particulate was removed by syringe filter. Next, the sample was injected into an HPLC system. The separation of the seven preservatives was achieved with a C18 column and gradient mode. The accuracies were between 73% and 120% and precision was lower than 11.58% (RSD). Results: All of the calibration curves showed good linearity with a coefficient of determination ($r^2$) over 0.999. Among the PPCP samples, the detection rate of preservatives was 32.5% for pharmaceuticals, 44.8% for toothpaste, 76.9% for mouthwash, 40.0% for body lotion and 56.0% for wet tissues. The average concentrations of the preservatives in PPCPs were BA 1141.0 mg/kg, MP 709.8 mg/kg, EP 624.9 mg/kg, PP 216.9 mg/kg, BP 167.8 mg/kg, and TCS 538.2 mg/kg. The most frequently detected preservatives in pharmaceuticals and personal care products were BA, MP and PP. The concentrations of preservatives exceeded Korean regulatory standards in 11 samples of medicines, three of mouthwash and two of body lotion. Conclusion: We found that most of the PPCP samples contained various preservatives. It is necessary to identify which preservatives were used and to determine the level of preservatives in PPCPs and to assess the health risk to susceptible populations such as children.