Enhanced Fluorescence Detection in a Real-time Microfluidic PCR System Manufactured using SLA and FDM 3D Printing together with Smartphones and IoT

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The polymerase chain reaction (PCR) allows for sensitive detection of pathogens and genetic diseases. Early detection of diseases (e.g., influenza) is essential for timely and targeted treatment. A cost-effective PCR benefits society by providing access to fast and accurate diagnostics. However, paper-based PCR lacks the accuracy and reliability of traditional lab-based PCR, and microfabricated PCR devices face challenges with complex fabrication and high manufacturing costs. The PCR lab protocol includes a time-consuming gel electrophoresis step following PCR. Real-time PCR requires specialized, high-end equipment. To overcome these limitations, this research will focus on additive manufacturing and a smartphone-based microscope to develop a new PCR detection system. Additive manufacturing has shown promise in fabricating optical components, microfluidic devices, and microscopy components for biomedical engineering. Similarly, smartphones have been used in biological imaging to improve accessibility for point-of-care (POC) applications. These methods have been used separately or partially in PCR systems. 3D printing high-quality lenses and clear microchannels for PCR remains challenging, particularly for fluorescence capture. A portable, affordable, real-time microfluidic PCR (μPCR) system that maintains high accuracy and performance is a promising solution for rapid, sensitive diagnostics. The main objectives of this work are to address these challenges.



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  • 21000 West Ten Mile Road
  • Southfield, MI, 48075-1058
  • Southfield, Michigan
  • United States 48075
  • Building: College of Engineering, Lawrence Technological University
  • Room Number: E101

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  • Starts 09 April 2026 04:00 AM UTC
  • Ends 10 April 2026 04:00 AM UTC
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Enhanced Fluorescence Detection in a Real-time Microfluidic PCR System Manufactured using SLA and FDM 3D Printing togeth

The polymerase chain reaction (PCR) allows for sensitive detection of pathogens and genetic diseases. Early detection of diseases (e.g., influenza) is essential for timely and targeted treatment. A cost-effective PCR benefits society by providing access to fast and accurate diagnostics. However, paper-based PCR lacks the accuracy and reliability of traditional lab-based PCR, and microfabricated PCR devices face challenges with complex fabrication and high manufacturing costs. The PCR lab protocol includes a time-consuming gel electrophoresis step following PCR. Real-time PCR requires specialized, high-end equipment. To overcome these limitations, this research will focus on additive manufacturing and a smartphone-based microscope to develop a new PCR detection system. Additive manufacturing has shown promise in fabricating optical components, microfluidic devices, and microscopy components for biomedical engineering. Similarly, smartphones have been used in biological imaging to improve accessibility for point-of-care (POC) applications. These methods have been used separately or partially in PCR systems. 3D printing high-quality lenses and clear microchannels for PCR remains challenging, particularly for fluorescence capture. A portable, affordable, real-time microfluidic PCR (μPCR) system that maintains high accuracy and performance is a promising solution for rapid, sensitive diagnostics. The main objectives of this work are to address these challenges.

Biography:

Assistant Professor

Mechanical Robotics and Industrial Engineering
Engineering, LTU

Address:21000 West Ten Mile Road, Southfield, MI, 48075-1058, Southfield, Michigan, United States, 48075