• 제목/요약/키워드: rapid extraction method

검색결과 329건 처리시간 0.037초

Analysis of Germanium in the Ore Samples by UV-Visible Spectroscopy

  • Reddy, K. Raghava;Lee, Kwang-Pill;Gopalan, Anantha Iyengar;Showkat, Ali Md;Kim, Sang-Ho;Paek, U-Hyon
    • 분석과학
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    • 제17권6호
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    • pp.476-480
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    • 2004
  • A simple, rapid, reproducible and selective UV-Visible spectrophotometric method has been developed for determination of germanium in a week acid medium (pH = 3.0) in the presence of mandelic acid (MA) and malachite green (MG). A single extraction in chlorobenzene was used for the analysis. The germanium-MA ion association complex exhibits an absorption maximum at ${\lambda}_{max}=618nm$ with MG as counter ion and has an apparent molar absorptivtity of $1.313{\times}10^5L\;mol^{-1}\;cm^{-1}$. The values obtained by this UV-Visible spectrophotometric method are in good agreement with the values from inductively coupled plasma-mass spectrometer analysis.

Bioavailability of Clonazepam in human plasma using a simple HPLC

  • Lee, Dong-Kyu;Jeong, Ji-Hoon;Park, Joon-Hong;You, Dae-Sik;Sohn, Uy-Dong
    • 대한약학회:학술대회논문집
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    • 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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    • pp.244.1-244.1
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    • 2003
  • We aimed at determining bioavailability of clonazepam, an anxiolytic drug, and developing a simple analysis in human blood using HPLC. A rapid and sensitive HPLC method was developed and validated using reverse-phase C18 column with retension time and limit of quantification of clonazepam being 2.58 min and 5hg/ml, respectively. Quantification was performed at 235 nm with p-hydroxybenzoic acid ethyl ester as internal standard. The method involved a simple extraction. In order to study blood level profile in time, sight volunteers were enrolled and orally took 6 mg clonazepam once. (omitted)

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Bioavailability of Procainamide HCl in human plasma using a simple HPLC

  • Park, Joon-Hong;Jeong, Ji-Hoon;Choi, Tae-Sik;Lee, Dong-Kyu;Shim, Jae-Ho;Sohn, Uy-Dong
    • 대한약학회:학술대회논문집
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    • 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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    • pp.240.2-240.2
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    • 2003
  • We aimed at determining bioavailability of procainarnide HCl, an antiarrhythmic drug, and developing a simple analysis in human blood using HPLC. A rapid and sensitive HPLC method was developed and validated using reverse-phase C18 column with retension time and limit of quantification of procainamide HCl being 2.58 min and 50ng/ml, respectively. Quantification was performed at 275 nm with caffeine as internal standard. The method involved a simple extraction. In order to study blood level profile in time, eight volunteers were enrolled and orally took 250 mg procainamide HCl once. (omitted)

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Validation of a Rapid Quantitative Method for the Residues of Nitrofuran Metabolites in Loach by Accelerated Solvent Extraction and HPLC Triple Quadrupole Mass Spectrometry

  • Ryu, Eun Chae;Han, Yun-jeong;Park, Seong-soo;Lim, Chul-joo;Choi, Sunok;Park, Se Chang
    • 한국식품위생안전성학회지
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    • 제31권2호
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    • pp.85-93
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    • 2016
  • 미꾸라지에서의 Nitrofuran계 대사물질인3-amino-2-oxazolidone(AOZ), 5-morpholinomethyl-3-amino-2-oxazolidinone(AMOZ), 1-ammino-hydantoin (AHD)와 semicarbazide(SEM)의 잔류량을 검사하기 위해HPLC-MS/MS를 이용한 신속한 정량법이 개발되었다. 2-nitrobenzaldehyde (2-NBA)를 이용해 $50^{\circ}C$에서 1시간 동안 산 가수분해와 유도체화 과정을 거친 뒤에, 액-액 분배로 정제와 추출을 하였다. 회수율은 음성시료에 3가지 농도 0.5, 1.0, $2.0{\mu}g/kg$의 표준액을 첨가하여 평가하였고 평균 회수율은 75.1-108.1% 이었다. 정밀성(%RSD)은 일내 8.7% 이하, 일간 8.5% 이하였다. 직선성은 NBAOZ는 $0.2-20{\mu}g/Kg$, NBAMOZ는 $0.8-20{\mu}g/Kg$, NBAHD는 $0.2-20{\mu}g/Kg$, NBSEM 는 $0.1-20{\mu}g/Kg$ 범위에서 모두 상관계수 0.99이상이었다. 검출한계(LOD)는 NBAOZ $0.06{\mu}g/Kg$, NBAMOZ $0.24{\mu}g/Kg$, NBAHD $0.06{\mu}g/Kg$, NBSEM $0.03{\mu}g/Kg$이었고, 정량한계(LOQ)는 NBAOZ $0.2{\mu}g/Kg$, NBAMOZ $0.8{\mu}g/Kg$, NBAHD $0.2{\mu}g/Kg$, NBSEM $0.1{\mu}g/Kg$ 이었다. 가수분해 및 유도체화 소요시간을 1시간으로 줄여 만든 신속 간편한 이 시험법이 미꾸라지 중 nitrofuran metabolites잔류량 분석에 적합함을 확인할 수 있었다.

GC-ECD를 이용한 배추, 사과, 감귤, 고추, 현미 중 살균제 Prochloraz의 분석법 확립 (Establishment of Analytical Method of Prochloraz in Cabbage, Apple, Mandarin, Pepper and Hulled rice with GC-ECD)

  • 이은미;이혜리;류명주;박희원;나예림;송혁환;금영수;;김정한
    • 한국환경농학회지
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    • 제28권4호
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    • pp.427-434
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    • 2009
  • Analytical method for prochloraz in cabbage, apple, pepper, mandarin, and hulled rice was established by conversion it to 2,4,6-trichlorophenol (TCP). Crop samples were extracted with acetonitrile, and partitioned with dichloromethane. The sample extracts were hydrolyzed with pyridine hydrochloride in a vial by heating for 1 hour, and analyzed with GC-ECD after partitioning with dichloromethane. Method quantification limit (MQL) of prochloraz was 0.01 mg/kg. Recoveries at 0.1 mg/kg level was 105-113% while at 0.5 mg/kg level was 82-87%. In both of the cases CV was less than 10%. Through this procedure soxhlet extraction and refluxing apparatus of conventional method were discarded and simple solvent extraction and small vial were successfully employed, resulting in simple, rapid, economic and more precise method.

Online Video Synopsis via Multiple Object Detection

  • Lee, JaeWon;Kim, DoHyeon;Kim, Yoon
    • 한국컴퓨터정보학회논문지
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    • 제24권8호
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    • pp.19-28
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    • 2019
  • In this paper, an online video summarization algorithm based on multiple object detection is proposed. As crime has been on the rise due to the recent rapid urbanization, the people's appetite for safety has been growing and the installation of surveillance cameras such as a closed-circuit television(CCTV) has been increasing in many cities. However, it takes a lot of time and labor to retrieve and analyze a huge amount of video data from numerous CCTVs. As a result, there is an increasing demand for intelligent video recognition systems that can automatically detect and summarize various events occurring on CCTVs. Video summarization is a method of generating synopsis video of a long time original video so that users can watch it in a short time. The proposed video summarization method can be divided into two stages. The object extraction step detects a specific object in the video and extracts a specific object desired by the user. The video summary step creates a final synopsis video based on the objects extracted in the previous object extraction step. While the existed methods do not consider the interaction between objects from the original video when generating the synopsis video, in the proposed method, new object clustering algorithm can effectively maintain interaction between objects in original video in synopsis video. This paper also proposed an online optimization method that can efficiently summarize the large number of objects appearing in long-time videos. Finally, Experimental results show that the performance of the proposed method is superior to that of the existing video synopsis algorithm.

참외 시설재배 토양에 대한 유효규산 추출방법 비교 (Evaluation of Available Soil Silicon Extracting Procedures for Oriental Melon)

  • 조현종;최희열;이용우;정종배
    • 한국토양비료학회지
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    • 제37권4호
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    • pp.251-258
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    • 2004
  • 밭작물에 대한 규산질 비료의 시용이 널리 이루어지고 있으나 적정시용수준이 밝혀져 있지 못하며 또한 밭토양에서의 유효규산 측정방법이 구명되어있지 못한 실정이다. 본 연구는 참외 시설재배지 토양에 대하여 유효규산 측정방법을 구명하기 위해 수행되었다. 경북 성주지역의 참외 시설재배지,10개소의 토양과 참외 잎 시료를 채취하여 가용성 토양 규산 함량과 잎 중의 총 규산 함량을 분석하였다. 가용성 토양 규산은 0.5 N HCI, 1 N sodium acetate buffer (pH 4.0). citric acid 1%, water, Tris buffer (pH 7.0), 그리고 1주간 담수하는 방법 등으로 추출하였으며, 식물체 규산은 autoclave 방법으로 추출하였다. 추출액중의 가용성 규산은 비색법으로 정량하였다. 각 추출방법별로 가용성 토양규산 함량과 식물체규산 함량과의 관계를 비교하였는데, 1 N sodium acetate buffer 방법이 토양 규산과 식물체 규산 관계를 가장 뚜렷한 포화곡선으로 나타내었다. 포화곡선으로부터 산출된 참외 잎 중의 포화 규산 함량은 약 $14g\;SiO_2\;kg^{-1}$이었고 1 N sodium acetate buffer 방법으로 추출할 경우토양 규산 함량 $120mg\;SiO_2\;kg^{-1}$이 참외에 적정한 수준인 것으로 나타났다. 특히 1 N sodium acetate buffer방법의 경우 참외 잎 중의 규산 함량이 포화되는 수준 이하의 토양 규산 함량 범위에서는 토양 규산 함량과 식물체 규산 함량 사이에 유의성 있는 상관관계가 있었다. 따라서 현재 우리나라에서 논토양의 유효규산 측정방법으로 널리 사용퇴고 있는 1 N sodium acetate buffer를 이용한 유효규산 추출방법이 밭토양에도 적용될 수 있을 것으로 판단되나 앞으로 다양한 작물과 토양을 대상으로 계속적인 연구가 요구된다.

하수역학 구축을 위한 시료 전처리 기술과 신속검출기술 (Pretreatment and Rapid Detection Methods for Wastewater-Based Epidemiology)

  • 이재엽;이복진;제스민아터;안창혁;김일호
    • 한국물환경학회지
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    • 제39권1호
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    • pp.102-110
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    • 2023
  • Wastewater Based Epidemiology (WBE) provides useful information not only on the use of illegal drugs in the community, but also on the presence of hygiene and health products and infectious pathogens in sewage facilities. As a consequence of the SARS-CoV-19 virus epidemic in 2019, monitoring the status of the infection is of utmost importance. SARS-CoV-19 was also detected in sewage, and the number and trend of infections in the community suggest that the application of the WBE system would be useful and appropriate. This study introduces a pre-treatment concentration method including viruses in sewage samples. A total of seven methods which were subdivided into methods for adsorption-extraction, ultra-filtration, PEG precipitation, and ultra-centrifugation, and the results for analyzing the recovery rates were included. Meanwhile, it is necessary to pay attention to rapid detection technologies which analyze infectious pathogens at the site of sewage facilities. These can include ELISA, FTIR, SERS, and biosensor based on the detection principle, and the characteristics, advantages, and disadvantages of each were summarized herein. If rapid detection technologies and accurate quantitative analyses are further developed, the use of sewage mechanics in response to pandemic viruses is expected to expand further.

Multi-classification Sensitive Image Detection Method Based on Lightweight Convolutional Neural Network

  • Yueheng Mao;Bin Song;Zhiyong Zhang;Wenhou Yang;Yu Lan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권5호
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    • pp.1433-1449
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    • 2023
  • In recent years, the rapid development of social networks has led to a rapid increase in the amount of information available on the Internet, which contains a large amount of sensitive information related to pornography, politics, and terrorism. In the aspect of sensitive image detection, the existing machine learning algorithms are confronted with problems such as large model size, long training time, and slow detection speed when auditing and supervising. In order to detect sensitive images more accurately and quickly, this paper proposes a multiclassification sensitive image detection method based on lightweight Convolutional Neural Network. On the basis of the EfficientNet model, this method combines the Ghost Module idea of the GhostNet model and adds the SE channel attention mechanism in the Ghost Module for feature extraction training. The experimental results on the sensitive image data set constructed in this paper show that the accuracy of the proposed method in sensitive information detection is 94.46% higher than that of the similar methods. Then, the model is pruned through an ablation experiment, and the activation function is replaced by Hard-Swish, which reduces the parameters of the original model by 54.67%. Under the condition of ensuring accuracy, the detection time of a single image is reduced from 8.88ms to 6.37ms. The results of the experiment demonstrate that the method put forward has successfully enhanced the precision of identifying multi-class sensitive images, significantly decreased the number of parameters in the model, and achieved higher accuracy than comparable algorithms while using a more lightweight model design.

공격탐지 실험을 위한 네트워크 트래픽 추출 및 검증 (Traffic Extraction and Verification for Attack Detection Experimentation)

  • 박인성;이은영;오형근;이도훈
    • 융합보안논문지
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    • 제6권4호
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    • pp.49-57
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    • 2006
  • 과거에는 IP기반으로 허가되지 않은 네트워크 접근을 차단하는 침입차단시스템, 그리고 악성 코드 패턴을 통해 알려진 공격을 탐지하는 침입탐지시스템이 정보보호시스템의 주류를 이루었다. 그러나 최근들어 웜과 같은 악성코드의 확산속도와 피해가 급속히 증가하면서, 알려지지 않은 이상 트래픽에 대한 탐지관련 연구가 활발히 이루어지고 있다. 특히 개별시스템이 아닌 네트워크 관점에서의 트래픽 통계정보를 이용하는 탐지 방법들이 주류를 이루고 있는데, 실제 검증을 위한 네트워크 트래픽 Raw 데이터나 실험에 적합한 통계정보를 확보하는데는 많은 어려움이 존재한다. 이에 본 논문에서는 연구에서 도출된 공격탐지 기법을 검증하기 위한 네트워크 트래픽 Raw 데이터와 시계열 같은 통계정보 추출 기법을 제시한다. 또한 혼합된 트래픽의 유효성을 확인하여, 탐지실험에 적합함을 보인다.

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