
pmid: 16978853
The current study reports on an integrated microreverse transcription polymerase chain reaction (RT-PCR) system for molecular diagnosis of microorganisms automatically. By using antibodies-conjugated superparamagnetic beads, the developed system can detect viruses with higher sensitivity and specificity when compared with traditional biological diagnosis methods using a ribonucleic acid (RNA) extraction kit. The target viruses were first captured by the conjugated antibodies on the magnetic beads, and were enriched using a magnetic field generated by micro-electromagnets or permanent magnets. With this approach, the virus can be purified and concentrated first, then the virus RNA was extracted and transcripted to complementary deoxyribonucleic acid (cDNA), followed by a nucleic acid amplification process using a micro-RT-PCR module. The integrated microfluidic chip can perform the whole process automatically with the aid of integrated micropumps and microvalves. This study successfully performs the specific detection of two different types of viruses, Dengue virus serotype 2 and enterovirus (EV) 71 using this developed integrated system. Comparable to a large-scale apparatus, the integrated microsystem can perform mixing, incubation, purification, transportation, and nucleic acid amplification of virus, possibly making it a crucial platform for future diagnosis applications.
Magnetics, Reverse Transcriptase Polymerase Chain Reaction, Viruses, Temperature, Microfluidic Analytical Techniques
Magnetics, Reverse Transcriptase Polymerase Chain Reaction, Viruses, Temperature, Microfluidic Analytical Techniques
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 105 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
