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Development of a Smartphone-Based Fluorescent Immunochromatographic Assay Strip Reader

机译:基于智能手机的荧光免疫粒子分析测定条读卡器的开发

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摘要

Fluorescence immunochromatographic assay (FICA) is a rapid immunoassay technique that has the characteristics of high precision and sensitivity. Although image FICA strip readers have the advantages of high portability and easy operation, the use of high-precision complementary metal oxide semiconductor (CMOS) image sensors leads to an increase in overall cost. Considering the popularity of CMOS image sensors in smartphones and their powerful processing functions, this work developed a smartphone-based FICA strip reader. An optical module suitable for the test strips with different fluorescent markers was designed by replacing the excitation light source and the light filter. An android smartphone was used for image acquisition and image denoising. Then, the test and control lines of the test strip image were recognized by the sliding window algorithm. Finally, the characteristic value of the strip image was calculated. A linear detection range from 10 to 5000 mIU/mL (R2 = 0.95) was obtained for human chorionic gonadotrophin with the maximum relative error less than 9.41%, and a linear detection range from 5 to 4000 pg/mL (R2 = 0.99) was obtained for aflatoxin B1, with the maximum relative error less than 12.71%. Therefore, the smartphone-based FICA strip reader had high portability, versatility, and accuracy.
机译:荧光免疫色谱测定(FICA)是具有高精确度和灵敏度的特性的快速免疫测定技术。虽然图像FICA条读者有高便携性和易于操作的优点,利用高精度的互补金属氧化物半导体(CMOS)图像传感器引线的增加总成本。考虑到CMOS图像传感器的智能手机和他们的强大处理功能的普及,这项工作开发出了基于智能手机的FICA带读卡器。适合的测试条用不同的荧光标记物的光模块是通过替换激励光源和光滤波器设计的。用于图像采集和图像去噪的Android智能手机。然后,将测试条的图像的测试线和对照线是由滑动窗口算法识别。最后,计算条形图像的特征值。获得10至5000 MIU /毫升(R2 = 0.95)的线性检测范围为人绒毛膜促性腺激素与最大相对误差小于9.41%,和线性检测范围从5到4000皮克/毫升(R2 = 0.99)中的溶液用于黄曲霉毒素B1大于12.71%得到,具有最大相对误差更小。因此,基于智能手机的FICA纸条阅读器具有高便携性,多功能性和准确性。

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