• The Plant Pathology Journal
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• 제40권2호
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• pp.125-138
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• 2024

Citrus yellow vein clearing virus (CYVCV) is a member of the Alphaflexiviridae family that causes yellow vein clearing symptoms on citrus leaves. A total of 118 leaf samples from nine regions of six provinces in Korea were collected from various citrus species in 2020 and 2021. Viral diagnosis using next-generation sequencing and reverse transcription polymerase chain reaction (RT-PCR) identified four viruses: citrus tristeza virus, citrus leaf blotch virus, citrus vein enation virus, and CYVCV. A CYVCV incidence of 9.3% was observed in six host plants, including calamansi, kumquat, Persian lime, and Eureka lemon. Among the citrus infected by CYVCV, only three samples showed a single infection; the other showed a mixed infection with other viruses. Eureka lemon and Persian lime exhibited yellow vein clearing, leaf distortion, and water-soak symptom underside of the leaves, while the other hosts showed only yellowing symptoms on the leaves. The complete genome sequences were obtained from five CYVCV isolates. Comparison of the isolates reported from the different geographical regions and hosts revealed the high sequence identity (95.2% to 98.8%). Phylogenetic analysis indicated that all the five isolates from Korea were clustered into same clade but were not distinctly apart from isolates from China, Pakistan, India, and Türkiye. To develop an efficient diagnosis system for the four viruses, a simultaneous detection method was constructed using multiplex RT-PCR. Sensitivity evaluation, simplex RT-PCR, and stability testing were conducted to verify the multiplex RT-PCR system developed in this study. This information will be useful for developing effective disease management strategies for citrus growers in Korea.

• 한국전자통신학회논문지
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• 제16권5호
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• pp.991-1000
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• 2021

비침습식 혈당 검출 기술 중 광학 기법은 생물학적 매체를 통과할 때 빛의 반사와 흡수 및 산란 특성을 이용하는 방법으로 통증이나 측정의 불편함을 감소시키고 감염 위험이 없어 혈당 검출 연구의 주요 흐름이 되고 있다. 이 중 근적외선 분광법은 혈당 분자와 유사한 흡수 기능을 공유하는 단백질과 산의 간섭들로 감지된 신호 분석 시 복잡성이 증가하는 단점이 있다. 본 연구에서는 근적외선의 피부 흡수로 발생할 수 있는 혈당검출 기능저하를 완화시키기 위해 다중 근적외선 대역의 비침습식 센서시스템을 설계하고 제작하였다. 제작한 시스템의 검증을 위해 혈액 조사를 실시하였으며, 혈액 내의 혈당 반응 정도를 스펙트럼 데이터로 수집하고, 데이터와 혈당과의 상관관계 관점에서 정량적으로 본 연구의 성과를 검증하였다.

• 핵의학기술
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• 제23권1호
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• pp.35-39
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• 2019

[목적] B형 간염바이러스(hepatitis B virus, HBV)감염은 전세계적으로 중요한 공중 보건 문제이며 만성간염, 간 경변, 간암의 주요 원인으로 알려져 있으며, 이러한 질환의 진단 및 치료에 B형 간염바이러스의 혈청학적 검사는 필수적이다. 항 바이러스 치료중인 B형 간염 환자를 대상으로 면역방사계수 측정법(IRMA; Immunoradiometric assay)과 화학발광 미세입자 면역분석법(CMIA; Chemiluminescent Micropartical Immunoassay)을 이용하여 HBe-Ag 검사를 시행하였고, 실시간 중합효소 연쇄반응(RT-PCR; Realtime-Polymerase Chain Reaction)법을 이용하여 혈청 내 HBV DNA 검출율 을 비교 분석 하였다. [대상 및 방법] 항 바이러스 치료가 시행중인 B형 간염 환자 270명을 대상으로 HBeAg 혈청 검사와 HBV DNA 정량 검사를 실시하였다. HBeAg 혈청 검사는 검출 원리가 다른 두 가지 혈청학적 검사법(IRMA, CMIA)을 적용 하였고, 혈청 내 HBV DNA는 Abbott m2000 System을 사용하여 실시간 중합효소 연쇄반응(RT-PCR; Realtime-Polymerase Chain Reaction)법으로 정량 측정 하였다. [결과] HBeAg 검출율은 면역방사계수법(IRMA)의 경우 24.1% (65/205), 화학발광 미세입자 면역 분석법(CMIA)에서는 82.2% (222/48)의 결과를 보였다. 혈청학적 검사방법(IRMA, CMIA)에 따른 HBeAg 검사결과의 일치율은 33% (89/270)이다. 실시간 중합효소 연쇄반응(RT-PCR)을 이용한 혈청 내 HBV DNA의 검출율은 29.3% (79/191)를 보였고, 혈청 내 HBV-DNA 농도는 $16IU/mL{\times}1.0{\times}10^9IU/mL$ 이며 검출한계는 <15IU/mL 이다. 면역방사계수법(IRMA)으로 HBeAg 검출결과가 양성일때 55.4%, 그리고 음성일때 20.9%의 HBV DNA 검출율과 $1.1{\times}10^8IU/mL$, $5.7{\times}10^5IU/mL$의 혈청내 HBV DNA농도를 나타냈다. 이에 반해 화학발광 미세입자 면역 분석법(CMIA)의 경우 HBeAg 검출결과가 양성일때 HBV DNA 검출율은 28.4%, 음성일때 33.3%의 결과를 나타냈으며 혈청 내 HBV DNA농도는 $6.0{\times}10^7IU/mL$, $2.4{\times}10^5IU/mL$ 이었다. 면역방사계수법과 화학발광 미세입자 면역 분석법에서 동일하게 HBeAg 검출 결과가 양성인 경우 HBV DNA 검출율은 62.3%의 결과를 보였으며, 혈청 내 HBV DNA 농도는 $1.1{\times}10^8IU/mL$ 이다. [결론] 혈청학적 검사법에 따른 HeAg 검출율은 많은 차이를 보였다. 이러한 차이는 검사kit에 사용된 Ab의 특성과 epitope, HBV의 genotype등 여러 가지 원인으로 생각된다. 혈청학적 검사 결과로 분류 된 그룹별 HBV DNA의 검출율과 농도를 비교한 결과, Group II(IRMA 양성, CMIA 양성, N=53)에서 높은 검출율과 농도를 확인할 수 있었다.

• 융합보안논문지
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• 제22권2호
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• pp.21-26
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• 2022

마스크 착용은 COVID-19 감염을 예방하기 위한 효과적인 방안이다. 적외선 열화상 기반의 온도 측정과 신원 인식 시스템이 기업에서 널리 사용되고 있는 상황에서 마스크 감지를 위한 연구는 필수적이다. 최근 비전분야에 소개된 MTCNN은 객체 인스턴스 세분화를위한 개념적으로 간단하고 유연하며 일반적인 프레임 워크를 제시한다. 본 논문에서는 열적외선 카메라로부터 획득한 열감지영상에서 발열체인 인스턴스에 대해 발열부위의 세그멘테이션을 생성하는 동시에 이미지 내의 오브젝트 발열부분을 효율적으로 탐색하는 알고리즘을 제안한다. MTCNN(Multi-task Cascaded Convolutional Networks) 기법은 바운딩 박스 인식을 위해 기존 브랜치와 병렬로 객체 마스크를 예측하기 위한 브랜치를 추가한 알고리즘이다. MTCNN은 다른 작업으로 일반화하기 용이하다. 본 논문에서는 MTCNN기반 적외선 열영상 검출알고리즘을 제안하여 RGB영상에서 구별할 수 없는 마스크 착용 여부를 탐지하였다.

• 대한수의학회지
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• 제55권2호
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• pp.89-95
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• 2015

Johne's disease, caused by Mycobacterium avium subsp. paratuberculosis (MAP), is one of the most widespread and economically important diseases in cattle. Current diagnostic methods are based on the detection of anti-MAP antibodies in serum or isolation of the causative agent. However, these techniques are often not applicable for cases of subclinical infection due to relatively low sensitivity. Therefore, finding new antigen candidates that strongly react with the host immune system had been attempted. To effectively detect infection during the subclinical stage, several antigen candidates were selected based on previous researches. Characteristics of the selected antigen candidates were analyzed using bioinformatics-based prediction tools. A total of nine antigens were selected (MAP0862, MAP3817c, MAP2077c, MAP0860c, MAP3954, MAP3155c, MAP1204, MAP1087, and MAP2963c) that have MAP-specific and/or high immune responses to infected animals. Using a transmembrane prediction tool, five of the nine antigen candidates were predicted to be membrane protein (MAP3817c, MAP3954, MAP3155c, MAP1087, and MAP1204). Some of the predicted protein structures identified using the I-TASSER server shared similarities with known proteins found in the Protein Data Bank database (MAP0862, MAP1204, and MAP2077c). In future studies, the characteristics and diagnostic efficiency of the selected antigen candidates will be evaluated.

• 대한수의학회지
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• 제40권1호
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• pp.81-85
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• 2000

Coxiella burnetii (C burnetii) is the causative agent of Q fever in animal and human. The distribution of the disease has been documented around world. In this study we developed the competitive enzyme linked immunosorbent assay(cELISA) and compared it with indirect immunofluorescent assay(IFA). A monoclonal antibody(Mab) against C burnetii and a peroxidase-conjugated anti-mouse IgM were used as an indicator system competing against antibody in animal serum or as an indicater of the absence of antibody. Sera were considered antibody positive when the percentage inhibition index(PI index) is upper than 30. PI index is calculated as 100-[sample OD/Mab OD)${\times}100$]. Among 162 bovine serum samples, 23 samples were antibody positive both in cELISA and IFA. And 156 samples showed same results. From goat with experimentally induced infection with C burnetii the antibody was detected 20 days early in cELISA compared to IFA. On the basis of present findings, it was demonstrated that cELISA is a reliable diagnostic method for The detection of specific antibodies against C burnetii infection.

• Journal of Microbiology and Biotechnology
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• 제34권2호
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• pp.289-295
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• 2024

We have developed an aptamer that specifically binds to Porphyromonas gingivalis to reduce the cellular damage caused by P. gingivalis infection and applied it as a biosensor. P. gingivalis is one of the major pathogens causing destructive periodontal disease among the periodontal microorganisms constituting complex biofilms. Porphyromonas gingivalis G-protein (PGP) known to play an important role in the transmission of germs was used as a target protein for the screening of aptamer. The aptamer that has binds to the G-protein of P. gingivalis, was screened and developed through the Systemic Evolution of Ligands by Exponential Energy (SELEX) method. Modified-Western blot analysis was performed with the aptamer which consisted of 38 single-stranded DNA to confirm the selectivity. ELONA (enzyme linked oligonucleotide assay) used to confirm that the aptamer was sensitive to PGP even at low concentration of 1 ㎍/ml. For the rapid detection of P. gingivalis, we constructed a surface plasmon resonance biosensor with SPREETA using the PGP aptamer. It was confirmed that PGP could be detected as low concentration as at 0.1 pM, which is the minimum concentration of aptamer sensor within 5 min. Based on these results, we have constructed a SPREETA biosensor based on aptamer that can bind to P. gingivalis G-protein. It can be used as an infection diagnosis system to rapidly diagnose and analyze oral diseases caused by P. gingivalis.

• 센서학회지
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• 제20권3호
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• pp.151-155
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• 2011

A variety of pattern recognition algorithms including neural networks may be applicable to the identification of odors. In this paper, an identification technique for an electronic odor sensing system applicable to wound state monitoring is presented. The performance of the radial basis function(RBF) network is highly dependent on the choice of centers and widths in basis function. For the fine tuning of centers and widths, those parameters are initialized by an ill-conditioned genetic fuzzy c-means algorithm, and the distribution of input patterns in the very first stage, the stochastic gradient(SG), is adapted. The adaptive RBF network with singular value decomposition(SVD), which provides additional adaptation capabilities to the RBF network, is used to process data from array-based gas sensors for early detection of wound infection in burn patients. The primary results indicate that infected patients can be distinguished from uninfected patients.

• Annals of Laboratory Medicine
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• 제38권6호
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• pp.569-577
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• 2018

Background: The increasing prevalence of drug-resistant tuberculosis (TB) infection represents a global public health emergency. We evaluated the usefulness of a newly developed multiplexed, bead-based bioassay (Quantamatrix Multiplexed Assay Platform [QMAP], QuantaMatrix, Seoul, Korea) to rapidly identify the Mycobacterium tuberculosis complex (MTBC) and detect rifampicin (RIF) and isoniazid (INH) resistance-associated mutations. Methods: A total of 200 clinical isolates from respiratory samples were used. Phenotypic anti-TB drug susceptibility testing (DST) results were compared with those of the QMAP system, reverse blot hybridization (REBA) MTB-MDR assay, and gene sequencing analysis. Results: Compared with the phenotypic DST results, the sensitivity and specificity of the QMAP system were 96.4% (106/110; 95% confidence interval [CI] 0.9072-0.9888) and 80.0% (72/90; 95% CI 0.7052-0.8705), respectively, for RIF resistance and 75.0% (108/144; 95% CI 0.6731-0.8139) and 96.4% (54/56; 95% CI 0.8718-0.9972), respectively, for INH resistance. The agreement rates between the QMAP system and REBA MTB-MDR assay for RIF and INH resistance detection were 97.6% (121/124; 95% CI 0.9282-0.9949) and 99.1% (109/110; 95% CI 0.9453-1.0000), respectively. Comparison between the QMAP system and gene sequencing analysis showed an overall agreement of 100% for RIF resistance (110/110; 95% CI 0.9711-1.0000) and INH resistance (124/124; 95% CI 0.9743-1.0000). Conclusions: The QMAP system may serve as a useful screening method for identifying and accurately discriminating MTBC from non-tuberculous mycobacteria, as well as determining RIF- and INH-resistant MTB strains.

• Annals of Laboratory Medicine
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• 제39권1호
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• pp.50-57
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• 2019

Background: The Automated Fluorescent Immunoassay System (AFIAS) rotavirus assay (Boditech Med Inc., Chuncheon, Korea) is a new rapid antigen test for rotavirus detection. We evaluated the performance of this assay for detecting rotaviruses and their specific genotypes in clinical stool samples. Methods: AFIAS rotavirus assay was performed in 103 rotavirus-positive and 103 rotavirus-negative stool samples (confirmed by both PCR and ELISA), and its results were compared with those of PCR, ELISA, and immunochromatographic assay (ICA). We evaluated diagnostic sensitivity/specificity, the detectability of rotavirus subtypes, lower limit of detection (LLOD), reproducibility, cross-reactivity, and interference of AFIAS rotavirus assay. Results: Based on PCR and ELISA results, diagnostic sensitivity and specificity of the AFIAS rotavirus assay were both 99.0%. LLOD results showed that the AFIAS assay had sensitivity similar to or greater than ICA and ELISA. High reproducibility was confirmed, and no cross-reactivity or interference was detected. This assay could detect genotypes G1P[8], G2P[4], G3P[8], G4P[6], G4P[8], G8P[4], G8P[8], G9P[4], and G9P[8]. Conclusions: The AFIAS rotavirus assay showed high reproducibility, sensitivity, and specificity as well as excellent agreement with ELISA, PCR, and ICA. It detected the most common as well as unusual genotypes of rotavirus prevalent in Korea. It could be a useful onsite assay for rapid, convenient, and cost-effective detection of rotavirus infection.