DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yun Jung Hwang | - |
dc.contributor.author | Kyungkwan Lee | - |
dc.contributor.author | Jong-Won Kim | - |
dc.contributor.author | K H Chung | - |
dc.contributor.author | Sang-Jick Kim | - |
dc.contributor.author | W S Yun | - |
dc.contributor.author | Chang-Soo Lee | - |
dc.date.accessioned | 2021-06-08T03:30:33Z | - |
dc.date.available | 2021-06-08T03:30:33Z | - |
dc.date.issued | 2021 | - |
dc.identifier.issn | 2218-273X | - |
dc.identifier.uri | https://oak.kribb.re.kr/handle/201005/24383 | - |
dc.description.abstract | Foot-and-mouth disease virus (FMDV) is a highly contagious disease that affects cloven-hoofed animals. The traditional diagnostic methods for FMDV have several drawbacks such as cross-reactivity, low sensitivity, and low selectivity. To overcome these drawbacks, we present an optical and electrochemical dual-modal approach for the specific detection of FMDV serotypes O and A by utilizing a magnetic nanoparticle labeling technique with resorufin β-d-glucopyranoside (res-β-glc) and β-glucosidase (β-glc), without the use of typical lateral flow assay or polymerase chain reaction. FMDV serotypes O and A were reacted with pan-FMDV antibodies that recognize all seven FMDV serotypes (O, A, C, Asia 1, SAT 1, SAT 2, and SAT 3). The antigen-antibody complex was then immobilized on magnetic nanoparticles and reacted with β-glc-conjugated FMDV type O or type A antibodies. Subsequently, the addition of res-β-glc resulted in the release of fluorescent resorufin and glucose owing to catalytic hydrolysis by β-glc. The detection limit of fluorescent signals using a fluorescence spectrophotometer was estimated to be log(6.7) and log(5.9) copies/mL for FMDV type O and A, respectively, while that of electrochemical signals using a glucometer was estimated to be log(6.9) and log(6.1) copies/mL for FMDV type O and A, respectively. Compared with a commercially available lateral flow assay diagnostic kit for immunochromatographic detection of FMDV type O and A, this dual-modal detection platform offers approximately four-fold greater sensitivity. This highly sensitive and accurate dual-modal detection method can be used for effective disease diagnosis and treatment, and will find application in the early-stage diagnosis of viral diseases and next-generation diagnostic platforms. | - |
dc.publisher | MDPI | - |
dc.title | Effective diagnosis of foot-and-mouth disease virus (FMDV) serotypes O and A based on optical and electrochemical dual-modal detection | - |
dc.title.alternative | Effective diagnosis of foot-and-mouth disease virus (FMDV) serotypes O and A based on optical and electrochemical dual-modal detection | - |
dc.type | Article | - |
dc.citation.title | Biomolecules | - |
dc.citation.number | 6 | - |
dc.citation.endPage | 841 | - |
dc.citation.startPage | 841 | - |
dc.citation.volume | 11 | - |
dc.contributor.affiliatedAuthor | Yun Jung Hwang | - |
dc.contributor.affiliatedAuthor | Kyungkwan Lee | - |
dc.contributor.affiliatedAuthor | Jong-Won Kim | - |
dc.contributor.affiliatedAuthor | Sang-Jick Kim | - |
dc.contributor.affiliatedAuthor | Chang-Soo Lee | - |
dc.contributor.alternativeName | 황윤정 | - |
dc.contributor.alternativeName | 이경관 | - |
dc.contributor.alternativeName | 김종원 | - |
dc.contributor.alternativeName | 정광효 | - |
dc.contributor.alternativeName | 김상직 | - |
dc.contributor.alternativeName | 윤완수 | - |
dc.contributor.alternativeName | 이창수 | - |
dc.identifier.bibliographicCitation | Biomolecules, vol. 11, no. 6, pp. 841-841 | - |
dc.identifier.doi | 10.3390/biom11060841 | - |
dc.subject.keyword | Dual-modality | - |
dc.subject.keyword | Optical | - |
dc.subject.keyword | Electrochemical | - |
dc.subject.keyword | Foot-and-mouth disease virus (FMDV) | - |
dc.subject.local | Dual-modality | - |
dc.subject.local | Optical | - |
dc.subject.local | Electrochemical | - |
dc.subject.local | foot-and-mouth disease virus | - |
dc.subject.local | Foot-and-mouth disease virus | - |
dc.subject.local | Foot-and-mouth disease virus (FMDV) | - |
dc.description.journalClass | Y | - |
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