• Title/Summary/Keyword: PSS detection

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Detection of Porcine Stress Syndrome from Genomic DNA of Hair Follicle by PCR-RFLP in Breeding Pig (종돈의 모근 Genomic DNA를 이용한 스트레스 증후군 검색)

  • 김계웅;김진우;유재영;박홍양
    • Reproductive and Developmental Biology
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    • v.28 no.1
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    • pp.37-43
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    • 2004
  • This study was carried out to investigate PSS (Porcine Stress Syndrome) with the PSE (Pale, Soft, Exudative) in 319 different pigs(Yorkshire 150; Landrace 89 and Duroc 80). The PCR-RFLP method was adapted to detect the ryanodine receptor (RYR 1) gene mutation and to estimate the genotype frequency of the RYR1 gene in breeding pig population. The DNA samples were collected from hair follicles of pigs of Yorkshire, Landrace and Duroc. After DNA amplification by PCR, the PCR products were digested by restriction enzyme, Cfo I. Primary PCR products of ryanodine receptor gene were length of 659 bp in hair follicle and their second PCR products were length of 522 bp in hair follicle. The exon region (522 bp) including point mutation ($C \arrow T; Arg \arrow Cys$) in the porcine ryanodine receptor gene, which is a causal mutation for PSS, was digested with Cfo I restriction enzyme. The RYR1 gene was classifed into three genotypes by agarose gel electrophoresis. The normal homozygous (NN) individuals showed two DNA fragments consisted of 439 and 83 bp. The mutant homozygous (nn) individuals showed only one DNA fragment 522 bp. In addition, all three fragments (522, 439 and 83 bp) were showed in heterozygous (Nn) carrier animals. The normal homozygous (NN), heterozygous (Nn) and mutant homozygous (nn) were 98.00, 2.00 and 0.00% in Yorkshire pigs, 87.64, 11.24 and 1.12% in Landrace, 100.00, 0.00 and 0.00% in Duroc, respectively. The gene frequencies of N and n were 0.990 and 0.010 in Yorkshire pigs, 0.933 and 0.067 in Landrace, 1.000 and 0.000 in Duroc, respectively.

Voltammetric Sensor Incorporated with Conductive Polymer, Tyrosinase, and Ionic Liquid Electrolyte for Bisphenol F (전도성고분자, 티로시나아제 효소 및 이온성 액체 전해질을 융합한 전압전류법 기반의 비스페놀F 검출 센서)

  • Sung Eun Ji;Sang Hyuk Lee;Hye Jin Lee
    • Applied Chemistry for Engineering
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    • v.34 no.3
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    • pp.258-263
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    • 2023
  • In this study, conductive polymers and the enzyme tyrosinase (Tyr) were deposited on the surface of a screen printed carbon electrode (SPCE), which can be fabricated as a disposable sensor chip, and applied to the detection of bisphenol F (BPF), an endocrine disruptor with proven links to male diseases and thyroid disorders, using electrochemical methods. On the surface of the SPCE working electrode, which was negatively charged by oxygen plasma treatment, a positively charged conductive polymer, poly(diallyldimethyl ammonium chloride) (PDDA), a negatively charged polymer compound, poly(sodium 4-styrenesulfonate) (PSS), and another layer of PDDA were layered by electrostatic attraction in the order of PDDA, PSS, and finally PDDA. Then, a layer of Tyr, which was negatively charged due to pH adjustment to 7.0, was added to create a PDDA-PSS-PDDA-Tyr sensor for BPF. When the electrode sensor is exposed to a BPF solution, which is the substrate and target analyte, 4,4'-methylenebis(cyclohexa-3,5-diene-1,2-dione) is generated by an oxidation reaction with the Tyr enzyme on the electrode surface. The reduction process of the product at 0.1 V (vs. Ag/AgCl) generating 4,4'-methylenebis(benzene-1,2-diol) was measured using cyclic and differential pulse voltammetries, resulting in a change in the peak current with respect to the concentration of BPF. In addition, we compared the detection performance of BPF using an ionic liquid electrolyte as an alternative to phosphate-buffered saline, which has been used in many previous sensing studies. Furthermore, the selectivity of bisphenol S, which acts as an interfering substance with a similar structure to BPF, was investigated. Finally, we demonstrated the practical applicability of the sensor by applying it to analyze the concentration of BPF in real samples prepared in the laboratory.

Optimized Condition of Genomic DNA Extraction and PCR Methods for GMO Detection in Potato (유전자재조합 감자의 검정을 위한 DNA분리 및 PCR검출의 최적조건 탐색)

  • Shin, Weon-Sun;Kim, Myung-Hee
    • Korean Journal of Food Science and Technology
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    • v.35 no.4
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    • pp.591-597
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    • 2003
  • To compare the quality of genomic DNA extracted from potato for PCR detection, four different methods, such as silica-based membrane method, silica-coated bead method, STE solution treatment, and CTAB-phenol/chloroform method, were evaluated. Also, to remove an excessive carbohydrate from the potato, ${\alpha}$- and ${\beta}$-amylase were used individually and in combination. When used both silica-based membrane method and silica-coated bead method combined with enzymes, the genomic DNAs were extracted from the raw potato with high purity for PCR. However, the silica-coated head method combined with enzyme treatment was the most efficient for extraction of the genomic DNA from the frozen fried potatoes. When applied with STE solution, the highly purified DNA was extracted from the raw potatoes without enzyme treatment in adequate yield for PCR. In cases of processed potatoes, such as frozen-fried potato and fabricated potato chips, CTAB-phenol/chloroform method is mostly feasible for DNA extraction and PCR efficacy at high sensitivity. As the results of PCR amplification, 216bp of PCR product was detected on 2% agarose gel electrophoresis, but any amplicons derived from New leaf and New leaf Y gene was not detected in any sample.

A Study on Cell ID Detection Scheme Using Synchronization Signals for 5G NR System (5G NR 시스템을 위한 동기 신호를 이용한 cell ID 검출을 위한 방법 연구)

  • Ahn, Haesung;Cha, Eunyoung;Kim, Hyeongseok;Kim, Jeongchang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.07a
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    • pp.593-595
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    • 2020
  • 본 논문에서는 5G NR 시스템을 위한 동기 신호를 이용한 cell ID 검출 방법에 대한 성능을 비교하였다. 5G NR(fifth-generation new radio) 시스템의 송신기는 SS/PBCH (synchronization signal/physical broadcast channel) 블록을 송신하며, 수신기는 수신된 SS/PBCH 블록을 이용하여 주파수 및 타이밍 오프셋 (frequency and timing offset)을 추정 할 수 있으며, cell ID (cell identity)는 PSS (primary synchronization signal)와 SSS (secondary synchronization signal)를 통해 검출할 수 있다. 본 논문에서는 cell ID 를 검출할 수 있는 방법으로서 2-stage 디코딩 방법과 결합 최대우도 결정 규칙 (joint maximum-likelihood decision rule: joint ML) 디코딩 방법을 사용하였다. Joint ML 디코딩 방법은 2-stage 디코딩 방법에 비해 더 좋은 검출 성능을 보이지만, 복잡도 측면에서는 2-stage 디코딩 방법이 joint ML 디코딩 방법에 비해 더 낮은 복잡도를 갖는 것을 확인하였다.

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On-Site Diagnosis of Fire Blight with Antibody-Based Diagnostic Strips (항혈청 기반 진단 스트립을 이용한 과수 화상병 현장진단)

  • Heo, Gwang-Il;Shin, Doo-San;Son, Soo-Hyeong;Oh, Chang-Sik;Park, Duck Hwan;Lee, Young-Kee;Cha, Jae-Soon
    • Research in Plant Disease
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    • v.23 no.4
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    • pp.306-313
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    • 2017
  • Recently fire blight occurred in the Republic of Korea and eradication program for the disease has been executed since then. Specificity and detection sensitivity of the 2 antibody-based diagnostic strips to Korean isolates of Erwinia amylovora (Ea) and their application for on-site diagnosis were evaluated in this study. Ea AgriStrip, a commercial diagnostic kit, and EB strip, developed in this study, reacted positively to the all tested Korean Ea strains and also to most of Erwinia pyrifoliae (Ep) strains causing black shoot blight. They reacted negatively to all Pusedomonas syringae pv. syringae (Pss) strains that cause shoot blight on apple. Detection sensitivity was similar between the 2 strips. For on-site diagnosis, the two strips reacted positively only to the extractions of the fire-blighted samples on all fire blight occurred orchards except one orchard at which on-site diagnosis was carried out at winter time. In addition, they reacted positively to the black-shoot blighted extractions from the black shoot blight occurred apple orchard. These results suggest that both EB strip and Ea AgriStrip would be useful for on-site diagnosis of fire blight in Korea.

Dimensional Quality Assessment for Assembly Part of Prefabricated Steel Structures Using a Stereo Vision Sensor (스테레오 비전 센서 기반 프리팹 강구조물 조립부 형상 품질 평가)

  • Jonghyeok Kim;Haemin Jeon
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.37 no.3
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    • pp.173-178
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    • 2024
  • This study presents a technique for assessing the dimensional quality of assembly parts in Prefabricated Steel Structures (PSS) using a stereo vision sensor. The stereo vision system captures images and point cloud data of the assembly area, followed by applying image processing algorithms such as fuzzy-based edge detection and Hough transform-based circular bolt hole detection to identify bolt hole locations. The 3D center positions of each bolt hole are determined by correlating 3D real-world position information from depth images with the extracted bolt hole positions. Principal Component Analysis (PCA) is then employed to calculate coordinate axes for precise measurement of distances between bolt holes, even when the sensor and structure orientations differ. Bolt holes are sorted based on their 2D positions, and the distances between sorted bolt holes are calculated to assess the assembly part's dimensional quality. Comparison with actual drawing data confirms measurement accuracy with an absolute error of 1mm and a relative error within 4% based on median criteria.