DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hwang, Byeong Hee | - |
dc.contributor.author | Shin, Hwa Hui | - |
dc.contributor.author | Cha, Hyung Joon | - |
dc.date.accessioned | 2018-06-15T05:51:41Z | - |
dc.date.available | 2018-06-15T05:51:41Z | - |
dc.date.created | 2017-10-10 | - |
dc.date.issued | 2017-08 | - |
dc.identifier.issn | 1226-8372 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/50922 | - |
dc.description.abstract | DNA microarray biosensors are essential tools for analyzing transcriptome expression levels and single nucleotide polymorphisms in disease pathology and diagnostics. Since rapid and quantitative detection is necessary for these applications, optimization of the experimental conditions is essential. Here, experimental conditions for DNA microarray biosensors were optimized using an artificial target strategy without reaction or purification bias. Most importantly, hybridization time was reduced to one hour for rapid and homogeneous detection of target DNA. High and low concentrations of capture probe are appropriate for optimizing the limit of detection and dynamic range, respectively. Bleaching effects can be minimized by measuring fluorescence intensity at night. These conditions enable quantitative and precise detection of target DNA and offer experimental guidelines for genobiosensors in general. | - |
dc.language | English | - |
dc.publisher | KOREAN SOC BIOTECHNOLOGY & BIOENGINEERING | - |
dc.relation.isPartOf | BIOTECHNOLOGY AND BIOPROCESS ENGINEERING | - |
dc.subject | OLIGONUCLEOTIDE MICROARRAY | - |
dc.subject | MULTIPLE DETECTION | - |
dc.subject | BACTERIA | - |
dc.subject | DISCRIMINATION | - |
dc.title | Optimization of DNA microarray biosensors enables rapid and sensitive detection | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s12257-017-0215-z | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | BIOTECHNOLOGY AND BIOPROCESS ENGINEERING, v.22, no.4, pp.469 - 473 | - |
dc.identifier.kciid | ART002259709 | - |
dc.identifier.wosid | 000410045300014 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 473 | - |
dc.citation.number | 4 | - |
dc.citation.startPage | 469 | - |
dc.citation.title | BIOTECHNOLOGY AND BIOPROCESS ENGINEERING | - |
dc.citation.volume | 22 | - |
dc.contributor.affiliatedAuthor | Cha, Hyung Joon | - |
dc.identifier.scopusid | 2-s2.0-85029217874 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 2 | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | OLIGONUCLEOTIDE MICROARRAY | - |
dc.subject.keywordPlus | MULTIPLE DETECTION | - |
dc.subject.keywordPlus | BACTERIA | - |
dc.subject.keywordPlus | DISCRIMINATION | - |
dc.subject.keywordAuthor | DNA microarray | - |
dc.subject.keywordAuthor | biosensor | - |
dc.subject.keywordAuthor | detection | - |
dc.subject.keywordAuthor | pathogen | - |
dc.subject.keywordAuthor | optimization | - |
dc.subject.keywordAuthor | quantification | - |
dc.relation.journalWebOfScienceCategory | Biotechnology & Applied Microbiology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Biotechnology & Applied Microbiology | - |
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