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We create a simple, rapid, equipment-free papertronic sensor array that is connected to a visual readout, allowing the naked eye to access antibiotic effectiveness against pathogenic bacteria, Pseudomonas aeruginosa PA01. The sensing approach quickly monitors microbial bioelectricity which is based on their metabolic activities and is inversely proportional to the concentration of antibiotics. Each sensing system consists of a two-electrode microbial sensing unit, an interface circuit for sensor signal amplification, and an electronic visual display with a light-emitting diode (LED), which are all mounted onto a paper-based printed circuit board. The bioelectricity in the sensing unit is amplified by the transistor and is transduced into LED illumination when a pre-defined electric current corresponding to a bacterial sample with a certain antibiotic concentration is obtained. Only within an hour, the system generates reliable, discrete visual responses to monitor antibiotic efficacy and provides the right doses for treatment against bacterial infections.
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A Papertronic Sensing System for Rapid Visual Screening of Bacterial Electrogenicity
In this work, we report a papertronic sensing system with the ability to achieve easy, rapid, and sensitive characterization of bacterial electrogenicity from a single drop of culture. Paper was used as a device substrate that inherently produces favorable conditions for easy, rapid, and sensitive and potentially high-throughput controlling of a microbial liquid sample. Through an innovative microscale device structure and a simple transistor amplifier circuit directly integrated into a single sheet of paper substrate, a powerful sensing array was constructed, resulting in the rapid and sensitive characterization of bacterial electrogenicity from a microliter sample volume. The microbial current generations were amplified by the transistor providing power to a 4-wide LED circuit board indicator bar for the direct visual readout with the naked eyes. Depending on bacterial electrogenicity, the LED intensity was changed. We validated the effectiveness of the sensor using two known bacterial electrogens (wild-type S. oneidensis and P. aeruginosa) and hypothesis-driven genetically modified P. aeruginosa mutant strains.
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- Award ID(s):
- 1703394
- PAR ID:
- 10106015
- Date Published:
- Journal Name:
- 18th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications (PowerMEMS 2018)
- Page Range / eLocation ID:
- PT-03b
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
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- The DOI is not currently available.
