• Title/Summary/Keyword: rapid detection method

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Determination of Ethylenethiourea in Fruits (과실류에 잔류하는 Ethylenethiourea 분석)

  • Kim, Eun-Hee;Jang, Mi-Ra;Kim, Jin-A;Kim, Tae-Rang;Yook, Dong-Hyun;Hwang, In-Sook;Kim, Jung-Hun
    • Korean Journal of Food Science and Technology
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    • v.43 no.3
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    • pp.277-281
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    • 2011
  • A rapid and very sensitive high-performance liquid chromatography/atmospheric-pressure chemical-ionization mass spectrometry method to detect ethylenethiourea (ETU) fungicide residues in fruits was developed. Methylene chloride was used as the surface extraction solvent for the target component. Recovery rates improved when cysteine hydrochloride and sodium carbonate were added to product prior to fortification. The limits of detection and quantification were approximately 0.006 and 0.02 mg/kg, respectively, from mandarin oranges. Recoveries from mandarin oranges, oranges, bananas, and pears, spiked in the range of 0.05-0.5 mg/kg, averaged 80-100%. The proposed method was used to monitor the presence of ETU in commercial fruits purchased from different markets in Seoul, Korea. ETU was found in four orange peels and in three mandarin orange peel samples. The highest ETU residue levels were $73.6{\mu}g/kg$ and $29.8{\mu}g/kg$.

Analysis of Volatile Flavor Compounds in Cow's Milk by Purge & Trap Method (Purge & Trap 법에 의한 국내산 우유 중의 휘발성 향기성분 분석)

  • Jun Jang-Young;Kim Sung-Han;Kwak Byung-Man;Ahn Jang-Hyuk;Kong Un-Young
    • Food Science of Animal Resources
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    • v.25 no.1
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    • pp.78-83
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    • 2005
  • Purge & Trap method was applied to perform more simple and rapid detection for analysis of volatile flavor compounds in milk. Maximal sampling of 30 mL milk for glass flask sparger was treated by He gas purging for 2 hours. Reported major volatile compounds were detected by GC-MS after 2 hours absorption and desorbed from Purge & Trap equipped with Tenax trap. Volatile flavor compounds were analyzed by Purge & Trap and GC-MS to investigate the changes of flavor components in milk between raw and deodorized milk. Fourteen volatile compounds including acetaldehyde, ethanol, 2-propanone, dimethyl sulfide, isobutanal, 3-methyl 2-butanone, 2-butanone, 3-methyl butanal, pentanal, 3-hydroxy-2-butanone, methyl disulfide, hexanal, and 2 others were detected. Six compounds such as ethanol, dimethyl sulfide, pentanal, 3-hydroxy-2-butanone, and methyl disulfide were completely eliminated after deodorization treatment. Four compounds such as 3-methyl 2-butanone, 2-butanone, 3-methyl butanal, and an unknown compound 81 (M/sup +/) were also decreased after raw milk was deodorized. The other four compounds such as acetaldehyde, 2-propanone, hexanal, and an unknown compound (M/sup +/) were not decreased.

Inflow Estimation into Chungju Reservoir Using RADAR Forecasted Precipitation Data and ANFIS (RADAR 강우예측자료와 ANFIS를 이용한 충주댐 유입량 예측)

  • Choi, Changwon;Yi, Jaeeung
    • Journal of Korea Water Resources Association
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    • v.46 no.8
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    • pp.857-871
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    • 2013
  • The interest in rainfall observation and forecasting using remote sensing method like RADAR (Radio Detection and Ranging) and satellite image is increased according to increased damage by rapid weather change like regional torrential rain and flash flood. In this study, the basin runoff was calculated using adaptive neuro-fuzzy technique, one of the data driven model and MAPLE (McGill Algorithm for Precipitation Nowcasting by Lagrangian Extrapolation) forecasted precipitation data as one of the input variables. The flood estimation method using neuro-fuzzy technique and RADAR forecasted precipitation data was evaluated. Six rainfall events occurred at flood season in 2010 and 2011 in Chungju Reservoir basin were used for the input data. The flood estimation results according to the rainfall data used as training, checking and testing data in the model setup process were compared. The 15 models were composed of combination of the input variables and the results according to change of clustering methods were compared and analysed. From this study was that using the relatively larger clustering radius and the biggest flood ever happened for training data showed the better flood estimation. The model using MAPLE forecasted precipitation data showed relatively better result at inflow estimation Chungju Reservoir.

Immunocytochemistry, In situ hybridization and electron microscopy for early diagnosis of Aujeszky's in living pigs (오제스키병의 생체 조기진단을 위한 면역세포화학, In situ hybridization 및 전자현미경적 연구)

  • Moon, Oun-kyong;Kim, Soon-bok;Sur, Jung-hyang;Song, Geun-suk;Nho, Whan-gook
    • Korean Journal of Veterinary Research
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    • v.36 no.4
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    • pp.845-858
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    • 1996
  • The purpose of this study was to establish early diagnostic methods for the detection of Aujeszky's disease viral antigens and nucleic acid in nasal cells, and buffy coats from experimentally infected living pigs by a combination of immunocytochemistry, in situ hybridization with digoxigenin(DIG)-labled probe and electron microscopy. Forty days old piglets were inoculated intranasally with $10^{7.0}TCID_{50}$ of Aujeszky's disease virus (ADV, NYJ-1-87 strain). The viral antigens and nucleic acid of ADV were detected in nasal cells, and buffy coat for 20 days after inoculation by immunocytochemistry, in situ hybridization with DIG-labeled probe and electron microscopical method. The results were compared with conventional methods such as a porcine Aujeszky's disease serodiagnostic(PAD) kit, neutralization test(NT) and virus isolation. 1. The viral antigens, nucleic acids and capsids of ADV were detected in nasal cells, buffy coats from 3 days to 20 days after inoculation by immunocytochemistry, in situ hybridization with DIG-labeled probe and electron microscopy, respectively. 2. When viral antigens were detected by the immunocytochemical technique, a diffuse brown deposit was observed in the nucleus and cytoplasm of nasal cells, buffy coats and PK-15 cells under a microscope. 3. DIG-labeled DNA probe was prepared by amplification of conserved sequence of recombinant ADV-gp50 clone with polymerase chain reacction. When ADV-DNA was detected by ISH with DIG-labeled probe, purplish blue pigmentation were observed in the nuclei and cytoplasms of ADV-infected cells under a microscope. Positive signals were observed in nasal cells and in the buffy coat and PK-15 cells at the first day after inoculation. 4. Where ADV-capsids were detected by transmission electron microscopical method, aggregation of capsids was observed in the nuclei and cytoplasms of nasal cells, buffy coats and PK-15 cells. The results suggested that these methods were considered as the highly sensitive and reliable tools for rapid and confirmative diagnosis of Aujeszky's disease in living pigs.

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Comparative Analysis of CNN Deep Learning Model Performance Based on Quantification Application for High-Speed Marine Object Classification (고속 해상 객체 분류를 위한 양자화 적용 기반 CNN 딥러닝 모델 성능 비교 분석)

  • Lee, Seong-Ju;Lee, Hyo-Chan;Song, Hyun-Hak;Jeon, Ho-Seok;Im, Tae-ho
    • Journal of Internet Computing and Services
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    • v.22 no.2
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    • pp.59-68
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    • 2021
  • As artificial intelligence(AI) technologies, which have made rapid growth recently, began to be applied to the marine environment such as ships, there have been active researches on the application of CNN-based models specialized for digital videos. In E-Navigation service, which is combined with various technologies to detect floating objects of clash risk to reduce human errors and prevent fires inside ships, real-time processing is of huge importance. More functions added, however, mean a need for high-performance processes, which raises prices and poses a cost burden on shipowners. This study thus set out to propose a method capable of processing information at a high rate while maintaining the accuracy by applying Quantization techniques of a deep learning model. First, videos were pre-processed fit for the detection of floating matters in the sea to ensure the efficient transmission of video data to the deep learning entry. Secondly, the quantization technique, one of lightweight techniques for a deep learning model, was applied to reduce the usage rate of memory and increase the processing speed. Finally, the proposed deep learning model to which video pre-processing and quantization were applied was applied to various embedded boards to measure its accuracy and processing speed and test its performance. The proposed method was able to reduce the usage of memory capacity four times and improve the processing speed about four to five times while maintaining the old accuracy of recognition.

Rapid Detection of Radioactive Strontium in Water Samples Using Laser-Induced Breakdown Spectroscopy (LIBS) (Laser-Induced Breakdown Spectroscopy (LIBS)를 이용한 방사성 스트론튬 오염물질에 대한 신속한 모니터링 기술)

  • Park, Jin-young;Kim, Hyun-a;Park, Kihong;Kim, Kyoung-woong
    • Economic and Environmental Geology
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    • v.50 no.5
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    • pp.341-352
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    • 2017
  • Along with Cs-137 (half-life: 30.17 years), Sr-90 (half-life: 28.8 years) is one of the most important environmental monitoring radioactive elements. Rapid and easy monitoring method for Sr-90 using Laser-Induced Breakdown Spectroscopy (LIBS) has been studied. Strontium belongs to a bivalent alkaline earth metal such as calcium and has similar electron arrangement and size. Due to these similar chemical properties, it can easily enter into the human body through the food chain via water, soil, and crops when leaked into the environment. In addition, it is immersed into the bone at the case of human influx and causes the toxicity for a long time (biological half-life: about 50 years). It is a very reductive and related with the specific reaction that makes wet analysis difficult. In particular, radioactive strontium should be monitored by nuclear power plants but it is very difficult to be analysed from high-cost problems as well as low accuracy of analysis due to complicated analysis procedures, expensive analysis equipment, and a pretreatment process of using massive chemicals. Therefore, we introduce the Laser-Induced Breakdown Spectroscopy (LIBS) analysis method that analyzes the elements in the sample using the inherent spectrum by generating plasma on the sample using pulse energy, and it can be analyzed in a few seconds without preprocessing. A variety of analytical plates for samples were developed to improve the analytical sensitivity by optimizing the laser, wavelength, and time resolution. This can be effectively applied to real-time monitoring of radioactive wastewater discharged from a nuclear power plant, and furthermore, it can be applied as an emergency monitoring means such as possible future accidents at a nuclear power plants.

Leaching of Chromium, Copper and Arsenic in Soils and Rapid Identification of CCA-Treated Woods Using Modified PAN Stain (CCA 목재방부제 설치지역 토양의 크롬.구리.비소 분포와 PAN 지시약을 이용한 CCA 방부목의 현장 검출방법 개발)

  • Abdelhafez, Ahmed A.;Awad, Yasser M.;El-Azeem, Samy A.M. Abd;Kim, Min-Su;Ham, Kwang-Joon;Lim, Kyoung-Jae;Yang, Jae-E;Ok, Yong-Sik
    • Korean Journal of Soil Science and Fertilizer
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    • v.43 no.1
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    • pp.60-67
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    • 2010
  • Although several studies have reported that Cr, Cu and As can leach from CCA-treated woods, few studies have been conducted on this topic in Korea. Therefore, this study was conducted to monitor Cr, Cu and As leaching from CCA-treated wood products and to develop a rapid identification method for CCA-treated wood products by using indicators such as PAN stain. Soil samples were collected at depths of 0-70 cm and wood samples were collected by thickness of wood layer. The soil and wood samples were then digested and analyzed for Cr, Cu and As concentrations using an atomic absorption spectrometer. The As and Cu concentrations decreased sharply with depth from 34.38 and 33.65 mg $kg^{-1}$ at 0-1 cm to 1.72 and 7.84 mg $kg^{-1}$ at 70 cm, respectively. In general, As was more mobile than Cr and Cu in the soil. For wood samples, the Cr, Cu and As concentrations were higher in the outer layer (0-0.5cm) than the inner layers (0.6-4.5cm). Evaluation of rapid identification methods revealed that 100% acetone with 0.1% PAN indicator was the best combination for detection of CCA-treated wood in the field.

Rapid prenatal diagnosis of Down syndrome and Edward syndrome by fluorescence In situ hybridization : Clinical experience with 309 cases (FISH를 이용한 다운증후군과 에드워드증후군의 신속한 산전확인 : 309예의 임상적 고찰)

  • Kang, Jin-Hee;Lee, Sook-Hwan;Park, Sang-Hee;Park, Ji-Hyun;Kim, Ji-Youn;Han, Won-Bo;Kim, In-Hyun;Park, Sang-Won;Jang, Jin-Beum;Lee, Kyoung-Jin;Park, Hee-Jin;Jun, Hye-Sun;Lee, Kyung-Ju;Shin, Joong-Sik;Cha, Dong-Hyun
    • Journal of Genetic Medicine
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    • v.4 no.1
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    • pp.64-71
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    • 2007
  • Purpose : The purpose of this study was to evaluate the clinical utility of rapid detection of Down syndrome and Edward syndrome by Interphase Fluorescence in Situ Hybridization (FISH) analysis. Methods : Aretrospective study in 309 cases of amniotic fluid samples, analysed by interphase FISH with DNA probes specific to chromosome 18 and 21, was performed. All FISH results w ere compared with conventional cytogenetic karyotypings. Results : The results were considered as informative and they were obtained within 48 hrs. A case of Down syndrome and a case of Edward syndrome were diagnosed by FISH and confirmed by subsequent cytogenetic analysis. In 12 cases with normal FISH results, the cytogenetic analysis showed a case of partial trisomy 22, three cases of sex chromosomal aneuploidy, two cases of mosaicism, two cases of microdeletion, and four cases of structural rearrangement. Conclusion : FISH is a rapid and effective diagnostic method, which can be used as an adjunctive test to cytogenetic analysis, for prenatal identification of chromosome aneuploidies. For the more genome-wide screening with variety of probes, the technique of FISH is both expensive and labor-intensive.

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Method Development for Determination of Multi-Mycotoxins in Chicken Liver and Kidney Tissues by LC-MS/MS (LC-MS/MS를 이용한 닭 간과 신장 중 곰팡이 독소 6종 동시분석법 개발)

  • Kim, Soohee;Kim, Kwang-Nam;Kim, Hyobi;Song, Jae-Young;Park, Sung-Won
    • Korean Journal of Poultry Science
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    • v.43 no.2
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    • pp.111-118
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    • 2016
  • Mycotoxins are secondary metabolites produced by molds, such as Aspergillus, Fusarium and Penicillium, that have adverse effects on animals and humans. Aflatoxin, ochratoxin, zearalenone, fumonisin and deoxynivalenol are the mycotoxins of greatest agro-economic importance and cause acute disease called mycotoxicoses. Mycotoxicosis in poultry birds results in decreased meat/egg production, immunosuppressant, and hepatotoxicosis. Some of toxins or their metabolites may be retained in animal or human tissues and induce health problems. This study was designed to develop a sensitive liquid chromatography tandem mass spectrometry (LC-MS/MS) method for the simultaneous detection and quantification of mycotoxins, such as aflatoxin $B_1$, aflatoxin $M_1$, ochratoxin A, zearalenone, fumonisin B and deoxynivalenol, in chicken liver and kidney tissues. The mycotoxins were extracted and purified using modified QUECHERS methods, separated by LC and detected by an electrospray ionisation interface (ESI) and tandem MS. Good precision and linearity were observed for most of six mycotoxins. The recovery test for each mycotoxin in liver and kidney tissues mostly indicated good average recovery rates between 80.94% and 98.10% and the coefficient of variation mostly under 13.78%, except for aflatoxin $M_1$ and fumonisin $B_1$. The limit of detection (LOD) for six mycotoxins was $7.6{\sim}145.79{\mu}g/kg$ in liver tissues and $6.07{\sim}197.20{\mu}g/kg$ in kidney tissues. The quantification limits (LOQ) for 6 mycotoxins were in the range $23.04{\sim}441.78{\mu}g/kg$ in liver tissues and $18.40{\sim}597.59{\mu}g/kg$ in kidney tissues, respectively. The developed multi-mycotoxin method in this study permits simultaneous, simple, and rapid determination of several co-existing mycotoxins in chicken liver and kidney tissues.

The analysis of pesticide residue in leafy vegetables using the modified QuEChERS pre-treatment methods (QuEChERS 시료 처리법을 활용한 엽채류 중 잔류농약분석)

  • Kim, Yang-Hyeon;Hong, Su-Myeong;Son, Kyung-Ae;Lee, Ju-Young;Min, Zaw Win;Kwon, Hye-Young;Kim, Taek-Kyum;Kyung, Kee-Sung
    • The Korean Journal of Pesticide Science
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    • v.16 no.2
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    • pp.121-130
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    • 2012
  • In analyzing pesticide residue, LLE (liquid liquid extraction) is generally applied as one of the existing methods, but needed quite a lot of organic solvents and analytical apparatuses for the sample pre-treatment. In addition to its long analysis time and complex analytical processes, it is required to develop a more rapid and efficient method at present. In order to establish an economic and simple pesticide residue analytical method, this study carried out a comparative experiment on the existing analytical method with a new sample pre-treatment method named QuEChERS (quick, easy, cheap, effective, rugged and safe), which extracts and refines pesticide components by directly adding solid powder into the sample. Both the two analytical methods showed favorable values of correlation coefficient ($R^2$ > 0.99) of calibration curves. In terms of the detection limit (identification limit), imidacloprid showed 0.02 mg/kg, while the rest of pesticides showed a level around 0.05 mg/kg. The results of this experiment revealed that the recovery of LLE was 92.8-100.9% and the RSD was below 2.5%. On the other hand, the recovery of QuEChERS was 92.2-101.6% and RSD was below 1.9%. As a result of comparing the amount of pesticide residue by the time between the two analytical methods by using Paired t-Test, there was no significant difference between the two analytical methods as the p-value ranged from 0.3148-0.9890. Considering the results of the two methods, the QuEChERS method had similar recovery, compared to the analytical method using the existing LLE, and the analytical time was shortened by about one fourth of that of the existing method. Moreover, since it excludes the use of harmful organic solvents like dichloromethane during the process of extraction, thus leading to protecting experimenters health and remarkably reducing the amount of disused solvents, it is judged as an echo-friendly and economic analytical method.