2016
DOI: 10.1002/biot.201600043
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Multiplex 16S rRNA‐derived geno‐biochip for detection of 16 bacterial pathogens from contaminated foods

Abstract: Foodborne diseases caused by various pathogenic bacteria occur worldwide. To prevent foodborne diseases and minimize their impacts, it is important to inspect contaminated foods and specifically detect many types of pathogenic bacteria. Several DNA oligonucleotide biochips based on 16S rRNA have been investigated to detect bacteria; however, a mode of detection that can be used to detect diverse pathogenic strains and to examine the safety of food matrixes is still needed. In the present work, a 16S rRNA gene‐… Show more

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Cited by 5 publications
(3 citation statements)
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“…The probe and detection oligo-DNA sequences (Table S1, ESI†) were designed based on species specificity and screened from the 16S rRNA database without pseudo-positive results in real sample analyses. 36…”
Section: Resultsmentioning
confidence: 99%
“…The probe and detection oligo-DNA sequences (Table S1, ESI†) were designed based on species specificity and screened from the 16S rRNA database without pseudo-positive results in real sample analyses. 36…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, early identification, monitoring and warning of foodborne pathogens are essential to prevent the occurrence of foodborne diseases. These initiatives could help to identify changing trends in specific diseases and reduce the risk factors and disease burden [ 14 ].…”
Section: Introductionmentioning
confidence: 99%
“…Their research provides a stable animal model of stroke with low variability, and this model can facilitate development of novel hMSC‐based therapeutics for stroke. Prof. Hyung Joon Cha and co‐workers describe the development of a new DNA microarray platform for the multiple detection of different bacterial pathogens from contaminated foods. By employing 16S rRNA gene‐derived different capture probes, the authors demonstrate successful detection of 16 pathogenic strains, which are recognized as important targets in food industries and public hygiene assessment.…”
mentioning
confidence: 99%