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8th Euro Biotechnology Congress

Frankfurt, Germany

Sandeep Kumar Vashist

Sandeep Kumar Vashist

University of Freiburg Germany

Title: Smartphone-based colorimetric readers for in vitro diagnostics and mobile healthcare

Biography

Biography: Sandeep Kumar Vashist

Abstract

Several proprietary Smartphone-based colorimetric readers (SBCRs) for in vitro diagnostics (IVD) have been developed using a standard Smartphone (Samsung Galaxy SIII mini), a gadget (iPAD mini, iPAD4, iPhone 5S or any similar tablet/Smartphone), a custom-made dark hood and a base holder assembly. A 96 or 24-well microtiter plate (MTP) was positioned on the gadget’s screensaver, enabling white light-based bottom illumination only at the well bottom. The set-up was demonstrated and compared with a commercial MTP reader (MTPR) for human C-reactive protein immunoassay and bicinchoninic acid (BCA) protein estimation assay. Colorimetric images of the reaction solutions were captured by the Smartphone’s back camera with 5 megapixels resolution. The pixel intensity of the captured images was determined by an image processing algorithm. SBCR has same precision, dynamic range and sensitivity as MTPR. SBCRs would have a considerably commercial opportunity as immunoassays using the clinical IVD kits are based on color detection. Being 20-fold cheaper than MTPR, SBCR could be an ideal point-of-care (POC) colorimetric detection device for the next-generation of cost-effective IVD and versatile tools in bio analytical settings. Moreover, they could be employed for colorimetric assays in the visible range using a transparent and flat bio analytical platform such as lab-on-a-chip, lateral flow microfluidics and centrifugal microfluidics-based LabDisk platforms. Considering their widespread use (~7 billion users, ~96% world population), Smartphone’s are under on-going improvement to become smarter, smaller and cheaper. As more and more objects are linked to with a Smartphone, SBCR will become a powerful assistant of analysts to play an important role in IVD, POC, personalized healthcare monitoring and management, telemedicine and remote bio sensing applications.