An early kidney injury rapid detection device

Zhen Zhang; Ning Zhang; Hongzhuang Guo; Zhe Wang; Yuanhua Yu

doi:10.1117/12.2539380

18 December 2019 An early kidney injury rapid detection device

Zhen Zhang, Ning Zhang, Hongzhuang Guo, Zhe Wang, Yuanhua Yu

Proceedings Volume 11342, AOPC 2019: AI in Optics and Photonics; 1134202 (2019) https://doi.org/10.1117/12.2539380
Event: Applied Optics and Photonics China (AOPC2019), 2019, Beijing, China

Abstract

In clinical testing, with the increasing demand for quantitative analysis of urine protein in departments such as urology, ICU (intensive care unit), a fast, accurate and simple method for detecting early renal impairment attract more and more scholars’ and businesses’ wide attention. This study proposes an early renal function damage detection device that combines ACR analysis and NGAL (neutrophil gelatinase-associated lipocalin) analysis, which could optimizes existing detection methods^[1], and improves existing detection techniques. This study based on Lambert-Beer's law, used immuno-transmission colorimetry and immunoturbidimetric turbidity to analyze the samples and build experimental tooling.

Citation Download Citation

Zhen Zhang, Ning Zhang, Hongzhuang Guo, Zhe Wang, and Yuanhua Yu "An early kidney injury rapid detection device", Proc. SPIE 11342, AOPC 2019: AI in Optics and Photonics, 1134202 (18 December 2019); https://doi.org/10.1117/12.2539380

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