A microfluidic system integrated with buried optical fibers for detection of Phalaenopsis orchid pathogens

Chih Lin Lin, Wen Hsin Chang, Chih Hung Wang, Chia Hwa Lee, Tzong Yueh Chen, Fuh Jyh Jan, Gwo Bin Lee

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)


Orchids of the genus Phalaenopsis are some of the most economically important plants in Taiwan. Fast, accurate, and on-site detection of pathogens in these orchids is therefore of critical importance in order to prevent or suppress costly disease outbreaks. Traditional pathogen detection methods are time-consuming, require well-equipped laboratories with highly trained personnel, and cannot be conducted in situ. In this study, a microfluidic system integrated with buried optical fibers was developed to detect viral pathogens of Phalaenopsis spp. Briefly, virus-specific ribonucleic acid (RNA) purification was achieved by a pre-treatment incubation with magnetic beads, and reverse-transcription loop-mediated isothermal amplification (RT-LAMP) was used subsequently to amplify the viral RNA. Positive RT-LAMP reactions resulted in the precipitation of magnesium pyrophosphate, which caused a change in turbidity that could be seen by the naked eye. A buried optical fiber-based detection module and a micro-stirring device were then integrated into the microfluidic chip to detect the RT-LAMP reaction product directly on the chip itself by measuring the change in the optical signals caused by the turbidity change associated with a positive amplification. The limit of detection for this system was found to be 25. fg, which is of similar sensitivity to existing, more laborious methods. Therefore, by using the integrated microfluidic system, a sensitive, rapid, accurate, and automatic diagnosis of viral pathogens in Phalaenopsis spp. orchids could be achieved within only 65. min. could be diagnosed in less than 65min.

Original languageEnglish
Pages (from-to)572-579
Number of pages8
JournalBiosensors and Bioelectronics
Publication statusPublished - 2015 Jan 15

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biophysics
  • Biomedical Engineering
  • Electrochemistry


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