Smartphone-Based Fluorescent Diagnostic System for Immunochromatographic Chip

In order to achieve fast and quantitative detection of fluorescence immunochromatographic chip, a rapid detection system based on smartphone has been developed. In this system, fluorescent signal from quantum dots (QDs) on lateral flow test strips (LFTSs) can be accurately extracted, and the system also can calculate the concentration of the analyte. The method of extraction and recognition of fluorescence signal intensity can be applied to different fluorescent chip detection systems. Based on the fluorescence tomography chip image, a specific program is used for image acquisition, processing and data handling. The Sobel operator algorithm was used in the software, which improved greatly the ability of distinguishing between the test area and the background boundary information. Extracting the components from the red format of the fluorescent strips, the high-signal intensity and sensitivity were achieved. The simulation results show that the proposed method can be applied to the detection system of fluorescence immunochromatographic chip. The experimental results show that the signal intensity has a good correlation with the concentration of immunoassay, which indicates the detection system can extract the intensity of fluorescence signal of the chip.

[1]  Susana Cardoso,et al.  GMR sensors and magnetic nanoparticles for immuno-chromatographic assays , 2012 .

[2]  David J. You,et al.  Cell-phone-based measurement of TSH using Mie scatter optimized lateral flow assays. , 2013, Biosensors & bioelectronics.

[3]  D. Erickson,et al.  Smartphone based health accessory for colorimetric detection of biomarkers in sweat and saliva. , 2013, Lab on a chip.

[4]  Romeo Bernini,et al.  A newly designed optical biochip for a TDM-POCT device , 2014, Photonics West - Micro and Nano Fabricated Electromechanical and Optical Components.

[5]  B. Tulu,et al.  The smartphone as a medical device: Assessing enablers, benefits and challenges , 2013, 2013 IEEE International Workshop of Internet-of-Things Networking and Control (IoT-NC).

[6]  Yunbo Luo,et al.  Development of a new fluorescence immunochromatography strip for detection of chloramphenicol residues in chicken muscles. , 2013, Journal of the science of food and agriculture.

[7]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[8]  G. Abel.  Current status and future prospects of point-of-care testing around the globe , 2015, Expert review of molecular diagnostics.

[9]  Y. Wu,et al.  Advantages of fluorescent microspheres compared with colloidal gold as a label in immunochromatographic lateral flow assays. , 2014, Biosensors & bioelectronics.

[10]  M. Castaneto,et al.  Biochip array technology immunoassay performance and quantitative confirmation of designer piperazines for urine workplace drug testing , 2015, Analytical and Bioanalytical Chemistry.

[11]  Jiumin Yang,et al.  Quantum dot-based immunochromatography test strip for rapid, quantitative and sensitive detection of alpha fetoprotein. , 2011, Biosensors & bioelectronics.

[12]  V. Gaudin,et al.  Evaluation and validation of a biochip multi-array technology for the screening of 14 sulphonamide and trimethoprim residues in honey according to the European guideline for the validation of screening methods for veterinary medicines , 2015 .