A portable microfluidic photometric detection method based on enzyme linked immunoscatter enhancement
文献类型： 外文期刊
第一作者： Li, Tongge
作者： Li, Tongge;Yang, Ning;Pan, Xiaoqing;Zhang, Xiaodong;Xu, Lijia
作者机构：
关键词： POCT; Microfluidic technology; ELISA; IMB; Light scattering enhancement
期刊名称：BIOSENSORS & BIOELECTRONICS （ 影响因子：12.6； 五年影响因子：10.8 ）
ISSN： 0956-5663
年卷期： 2024 年 244 卷
页码：
收录情况： SCI
摘要： Currently, the combination of smart phones and microfluidic chips is a commonly used device for point-of-care testing (POCT) detection. Enzyme linked immunosorbent assay (ELISA) is an effective way to detect specific proteins in disease. Because the detection accuracy of smartphone cameras is difficult to directly replace highprecision spectral devices, the combination of smartphones and ELISA has not been widely used. Therefore, this paper proposes a microfluidic photometric detection method based on ELISA scattering enhancement. Firstly, the scattering characteristics of IMB are mined, and the optimal value of absorbance error compensation parameter is obtained. Secondly, the absorbance error compensation model based on scattering enhancement characteristics is established to improve the image acquisition accuracy of smart phones. Finally, the microfluidic photometric detection chip is developed, and the optical path system, optical path adjustment system and POCT detection App of smart phone are designed. The optimal compensation parameters of IMB were obtained based on simulated samples, and the linearity of absorbance and concentration increased by 22.6% after compensation. In the IL-6 sample experiment, the detection results of the platform in this paper had a good linear correlation with IL-6 sample concentration, and the linear correlation coefficient was above 0.95459. At the same time, the detection limit and accuracy meet the detection requirements. Therefore, with the participation of smart phones and microfluidic chips, problems such as difficult carrying and complex operation in traditional ELISA daily detection have been solved, laying a foundation for the future promotion and application of ELISA based POCT platform.
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